Samsung and Synopsys collaborated on the first production tapeout of a high-performance mobile SoC design, including CPUs and GPUs, using the Synopsys.ai EDA suite on Samsung Foundry’s gate-all-around (GAA) process. Samsung plans to begin mass production of 2nm process GAA chips in 2025, reports BusinessKorea.

UMC developed the first radio frequency silicon on insulator (RF-SOI)-based 3D IC process for chips used in smartphones and other 5G/6G mobile devices. The process uses wafer-to-wafer bonding technology to address radio frequency interference between stacked dies and reduces die size by 45%.

Fig. 1: UMC’s 3D IC solution for RFSOI technology. Source: UMC

The first programmable chip capable of shaping, splitting, and steering beams of light is now being produced by Skywater Technology and Lumotive. The technology is critical for advancing lidar-based systems used in robotics, automotive, and other 3D sensing applications.

Driven by demand for AI chips, SK hynix revealed it has already booked its entire production of high-bandwidth memory chips for 2024 and is nearly sold out of its production capacity for 2025, reported the Korea Times, while SEMI reported that silicon wafer shipments declined in Q1 2024, quarter over quarter, a 13% drop, attributed to continued weakness in IC fab utilization and inventory adjustments.

PCI-SIG published the CopprLink Internal and External Cable specifications to provide PCIe 5.0 and 6.0 signaling at 32 and 64 GT/s and leverage standard connector form factors for applications including storage, data centers, AI/ML, and disaggregated memory.

The U.S. Department of Commerce (DoC) launched the CHIPS Women in Construction Framework to boost the participation of women and economically disadvantaged people in the workforce, aiming to support on-time and successful completion of CHIPS Act-funded projects. Intel and Micron adopted the framework.

Quick links to more news:

Market Reports
Global
In-Depth
Education and Training
Security
Product News
Quantum
Research
Events
Further Reading

Markets and Money

The SiC wafer processing equipment market is growing rapidly, reports Yole. SiC devices will exceed $10B by 2029 at a CAGR of 25%, and the SiC manufacturing tool market is projected to reach $5B by 2026.

imec.xpand launched a €300 million (~$321 million) fund that will invest in semiconductor and nanotechnology startups with the potential to push semiconductor innovation beyond traditional applications and drive next-gen technologies.

Blaize raised $106 million for its programmable graph streaming processor architecture suite and low-code/no-code software platform for edge AI.

Guerrilla RF completed the acquisition of Gallium Semiconductor‘s portfolio of GaN power amplifiers and front-end modules.

About 90% of connected cars sold in 2030 will have embedded 5G capability, reported Counterpoint. Also, about 75% of laptop PCs sold in 2027 will be AI laptop PCs with advanced generative AI, and the global high-level OS (HLOS) or advanced smartwatch market is predicted to grow 15% in 2024.

Global

Powerchip Semiconductor opened a new 300mm facility in northwestern Taiwan targeting the production of AI semiconductors. The facility is expected to produce 50,000 wafers per month at 55, 40, and 28nm nodes.

Taiwan-based KYEC Semiconductor will withdraw its China operations by the third quarter due to increasing geopolitical tensions, reports the South China Morning Post.

Japan will expand its semiconductor export restrictions to China related to four technologies: Scanning electron microscopes, CMOS, FD-SOI, and the outputs of quantum computers, according to TrendForce.

IBM will invest CAD$187 million (~US$137M in Canada’s semiconductor industry, with the bulk of the investment focused on advanced assembly, testing, and packaging operations.

Microsoft will invest US$2.2 billion over the next four years to build Malaysia’s digital infrastructure, create AI skilling opportunities, establish an AI Center of Excellence, and enhance cybersecurity.

In-Depth

New stories and tech talks published by Semiconductor Engineering this week:

• Multi-Die Design Pushes Complexity To The Max
• Design Considerations In Photonics
• Overlay Optimization In Advanced IC Substrates
• Fundamental Issues In Computer Vision Still Unresolved
• Sensor Fusion Challenges In Automotive

Security

Infineon collaborated with ETAS to integrate the ESCRYPT CycurHSM 3.x automotive security software stack into its next-gen AURIX MCUs to optimize security, performance, and functionality.

Synopsys released Polaris Assist, an AI-powered application security assistant on its Polaris Software Integrity Platform, combining LLM technology with application security knowledge and intelligence.

In security research:

• UT Dallas, Intel, NXP, and TI published a framework for early anomaly detection in AMS components of automotive SoCs.
• The University of Central Florida said that LLMs can be harnessed to automatically rectify security-relevant vulnerabilities inherent in hardware designs within the semiconductor context.
• Western University leveraged hardware security modules for enhanced intra-domain security.
• A team in India proposed a post-quantum secure PUF-based cross-domain authentication mechanism for Internet of Drones.

U.S. President Biden signed a National Security Memorandum to enhance the resilience of critical infrastructure, and the White House announced key actions taken since Biden’s AI Executive Order, including measures to mitigate risk.

CISA and partners published a fact sheet on pro-Russia hacktivists who seek to compromise industrial control systems and small-scale operational technology systems in North American and European critical infrastructure sectors. CISA issued other alerts including two Microsoft vulnerabilities.

Education and Training

The U.S. National Institute for Innovation and Technology (NIIT) and the Department of Labor (DoL) partnered to celebrate the inaugural Youth Apprenticeship Week on May 5 to 11, highlighting opportunities in critical industries such as semiconductors and advanced manufacturing.

SUNY Poly received an additional $4 million from New York State for its Semiconductor Processing to Packaging Research, Education, and Training Center.

The University of Pennsylvania launched an online Master of Science in Engineering in AI degree.

The American University of Armenia celebrated its 10-year collaboration with Siemens, which provides AUA’s Engineering Research Center with annual research grants.

Product News

Renesas and SEGGER Embedded Studio launched integrated code generator support for its 32-bit RISC-V MCU. 

Rambus introduced a family of DDR5 server Power Management ICs (PMICs), including an extreme current device for high-performance applications.

Fig. 2: Rambus’ server PMIC on DDR5 RDIMM. Source: Rambus

Keysight added capabilities to Inspector, part of the company’s recently acquired device security research and test lab Riscure, that are designed to test the robustness of post-quantum cryptography (PQC) and help device and chip vendors identify and fix hardware vulnerabilities. Keysight also validated new conformance test cases for narrowband IoT non-terrestrial networks standards.

Ansys’ RedHawk-SC and Totem power integrity platforms were certified for TSMC‘s N2 nanosheet-based process technology, while its RaptorX solution for on-chip electromagnetic modeling was certified for TSMC’s N5 process.

Netherlands-based athleisure brand PREMIUM INC selected CLEVR to implement Siemens’ Mendix Digital Lifecycle Management for Fashion & Retail solution.

Micron will begin shipping high-capacity DRAM for AI data centers.

Microchip uncorked radiation-tolerant SoC FPGAs for space applications that uses a real-time Linux-capable RISC-V-based microprocessor subsystem.

Quantum

University of Chicago researchers developed a system to boost the efficiency of quantum error correction using a framework based on quantum low-density party-check (qLDPC) codes and new hardware involving reconfigurable atom arrays.

PsiQuantum will receive AUD $940 million (~$620 million) in equity, grants, and loans from the Australian and Queensland governments to deploy a utility-scale quantum computer in the regime of 1 million physical qubits in Brisbane, Australia.

Japan-based RIKEN will co-locate IBM’s Quantum System Two with its Fugaku supercomputer for integrated quantum-classical workflows in a heterogeneous quantum-HPC hybrid computing environment. Fugaku is currently one of the world’s most powerful supercomputers.

QuEra Computing was awarded a ¥6.5 billion (~$41 million) contract by Japan’s National Institute of Advanced Industrial Science and Technology (AIST) to deliver a gate-based neutral-atom quantum computer alongside AIST’s ABCI-Q supercomputer as part of a quantum-classical computing platform.

Novo Holdings, the controlling stakeholder of pharmaceutical company Novo Nordisk, plans to boost the quantum technology startup ecosystem in Denmark with DKK 1.4 billion (~$201 million) in investments.

The University of Sydney received AUD $18.4 million (~$12 million) from the Australian government to help grow the quantum industry and ecosystem.

The European Commission plans to spend €112 million (~$120 million) to support AI and quantum research and innovation.

Research

Intel researchers developed a 300-millimeter cryogenic probing process to collect high-volume data on the performance of silicon spin qubit devices across whole wafers using CMOS manufacturing techniques.

EPFL researchers used a form of ML called deep reinforcement learning (DRL) to train a four-legged robot to avoid falls by switching between walking, trotting, and pronking.=

The University of Cambridge researchers developed tiny, flexible nerve cuff devices that can wrap around individual nerve fibers without damaging them, useful to treat a range of neurological disorders.

Argonne National Laboratory and Toyota are exploring a direct recycling approach that carefully extracts components from spent batteries. Argonne is also working with Talon Metals on a process that could increase the number of EV batteries produced from mined nickel ore.

Events

Find upcoming chip industry events here, including:

Upcoming webinars are here.

Further Reading

Read the latest special reports and top stories, or check out the latest newsletters:

Systems and Design
Low Power-High Performance
Test, Measurement and Analytics
Manufacturing, Packaging and Materials
Automotive, Security and Pervasive Computing

The post Chip Industry Week In Review appeared first on Semiconductor Engineering.

Now you can design and manufacture your own custom chips — for cheap!

The post DIY Silicon: Design Your Own Chips appeared first on Make: DIY Projects and Ideas for Makers.

SK hynix and TSMC plan to collaborate on HBM4 development and next-generation packaging technology, with plans to mass produce HBM4 chips in 2026. The agreement is an early indicator for just how competitive, and potentially lucrative, the HBM market is becoming. SK hynix said the collaboration will enable breakthroughs in memory performance with increased density of the memory controller at the base of the HBM stack.

Intel assembled the industry’s first high-NA EUV lithography system. “Compared to 0.33NA EUV, high-NA EUV (or 0.55NA EUV) can deliver higher imaging contrast for similar features, which enables less light per exposure, thereby reducing the time required to print each layer and increasing wafer output,” Intel said.

Fig. 1: Bigger iron — Intel’s brand new high-NA EUV machinery. Source: Intel

Samsung is slated to receive $6.4 billion in CHIPS ACT funding from the U.S. Department of Commerce (DoC) as part of a $40 billion expansion of its Austin, Texas, manufacturing facility, along with an R&D fab, a pair of leading-edge logic fabs, and an advanced packaging plant in nearby Taylor, Texas.

Micron and the U.S. government next week will announce $6.1 billion in CHIPS Act funding for the development of advanced memory chips in New York and Idaho, according to AP News.

Cadence unveiled its Palladium Z3 Emulation and Protium X3 FPGA Prototyping systems, targeted at multi-billion-gate designs with 2X increase in capacity and a 1.5X performance increase compared to previous-generation systems. Cadence also teamed up with MemVerge to enable seamless support for AWS Spot instances for long-running high-memory EDA jobs, and extended its hybrid cloud environment solutions through a collaboration with NetApp.

Fig. 2: At CadenceLive Silicon Valley, NVIDIA CEO Jensen Huang (r.) discussed accelerated computing and generative AI with Cadence CEO Anirudh Devgan. Source: Semiconductor Engineering

Quick links to more news:

Global
Markets and Money
In-Depth
Security
Education and Workforce
Product and Standards
Research
Quantum
Events
Further Reading

Global

After Taiwan’s recent 7.2 magnitude earthquake, TSMC reached more the 70% tool recovery in its fabs within the first 10 hours and full recovery by the end of the third day, according to this week’s earnings call. Some wafers in process were scrapped but the company expects the lost production to be recovered in the second quarter.  Also in the call, TSMC said they expect their “customers to share some of the higher cost” of the overseas fabs and higher electricity costs.

Advantest‘s regional headquarters in Taiwan donated $2.2 million New Taiwan dollars ($680,000 US) for aid to victims and reconstruction efforts related to the Taiwan earthquake that struck on April 3.

Japan’s exports grew by more than 7% YoY in March, driven by an 11.3% increase in shipments of electronics and semiconductor manufacturing equipment, much of it to China, according to NikkeiAsia.

China‘s IC output grew 40% in the first quarter, primarily driven by EVs and smartphones, according to the South China Morning Post.

In the U.S., the Biden Administration released a notice of funding opportunity of $50 million targeted at small businesses pursuing advances in metrology research and technology. Also, the U.S. Department of Energy announced a $33 million funding opportunity for smart manufacturing technologies.

Germany‘s Fraunhofer IIS launched its On-Board Processor (FOBP) for the German Space Agency’s Heinrich Hertz communication satellite. FOBP can be controlled and reprogrammed from Earth and will be used to investigate creation of hybrid communication networks.

Markets and Money

RISC-V startup Rivos raised more than $250 million in capital investments to tape out its first power-optimized chips for data analytics and generative AI applications.

Silvaco filed to go public on Nasdaq. The company also received a $5 million convertible note investment from Microchip.

Microchip acquired Neuronix AI Labs to provide AI-enabled FPGA solutions for large-scale, high-performance edge applications.

The advanced packaging market saw a modest 4% increase in revenues in Q4 2023 versus the previous quarter, with a projected decline of 13% QoQ in the first quarter of 2024, reports Yole. Overall, the market is expected to increase from $38 billion in 2023 to $69.5 billion in 2029 with a CAGR of 10.7%.

TSMC’s CoWoS total capacity will increase by 150% in 2024 due to demand for NVIDIA’s Blackwell Platform, reports TrendForce.

ASML saw a nearly 40% drop in new litho equipment sales QoQ in Q1 2024 and a 61% drop in net bookings as manufacturers reduced investments in new capital equipment during the recent semiconductor market slump.

Global PC shipments rose about 3% YoY in Q1 2024, and that same growth is expected for full year 2024, reports Counterpoint. Manufacturers are predicted to promote AI PCs as semiconductor companies prepare to launch SoCs featuring higher TOPS.

The GenAI smartphone market share is predicted to reach 11% by 2024 and 43% by 2027, reports Counterpoint. Samsung likely will lead in 2024, but Apple may overtake it in 2025.

The RF GaN market is expected to exceed $2 billion by 2029, fueled by the defense and telecom infrastructure sectors, reports Yole.

In-Depth

Semiconductor Engineering published its Manufacturing, Packaging & Materials newsletter this week. Top articles include:

• Electromigration Concerns Grow In Advanced Packages
• What Works Best For Chiplets
• Enabling Advanced Devices With Atomic Layer Processes

Plus, check out these new stories and tech talks:

• Architecting Chips For High-Performance Computing
• Future-Proofing Automotive V2X
• Secure Movement Of Data In Test
• Challenges With Chiplets and Power Delivery

Security

In security research:

• Seoul National University, Sandia National Laboratories, Texas A&M University, and Applied Materials demonstrated a memristor crossbar architecture for encryption and decryption.
• Robert Bosch, Forschungszentrum Julich, and Newcastle University investigated techniques for error detection and correction in in-memory computing.
• The University of Florida introduced an automated framework that can help identify security assets for a design at the register-transfer level (RTL).

DARPA conducted successful in-air tests of AI flying an F-16 autonomously versus a human-piloted F-16 in visual-range combat scenarios.

The National Security Agency’s Artificial Intelligence Security Center (NSA AISC) published joint guidance on deploying AI systems securely with the Cybersecurity and Infrastructure Security Agency (CISA), the Federal Bureau of Investigation (FBI), and international partners. CISA also issued other alerts.

Products and Standards

Samsung uncorked LPDDR5X DRAM built on a 12nm process that supports up to 10.7 Gbps and expands the single package capacity of mobile DRAM up to 32 GB.

Keysight revealed its next-generation RF circuit simulation tool that supports multi-physics co-design of circuit, electromagnetic, and electrothermal simulations across Cadence, Synopsys, and Keysight platforms.

Renesas released its FemtoClock family of ultra-low jitter clock generators and jitter attenuators with 8 and 12 outputs, enabling clock tree designs for high-speed interconnect systems in telecom and data center switches, routers, medical imaging, and more.

Movellus expanded its droop response solutions with Aeonic Generate AWM3, which responds to voltage droops within 1 to 2 clock cycles while providing enhanced observability for droop profiling and enabling fine-grained dynamic frequency scaling.

Efabless announced the second version of its Python-based open-source EDA software for construction of customizable flows using proprietary or open-source tools.

Faraday Technology licensed Arm’s Cortex-A720AE IP to use in the development of AI-enabled vehicle ASICs. Also, Untether AI teamed up with Arm to enable its inference acceleration technology to be implemented alongside the latest-generation Automotive Enhanced technology from Arm for ADAS and autonomous vehicle applications.

FOXESS used Infineon’s 1,200V CoolSiC MOSFETs and EiceDRIVER gate drivers for industrial energy storage applications, aiming to promote green energy.

Emotors adopted Siemens’ Simcenter solutions for NVH testing of next-gen automotive e-drives.

SiTime debuted a family of clock generators for AI datacenter applications with clock, oscillator, and resonator in an integrated chip.

JEDEC published the JESD79-5C DDR5 SDRAM standard, which includes a DRAM data integrity improvement called Per-Row Activation Counting (PRAC) that precisely counts DRAM activations on a wordline granularity and alerts the system to pause traffic and designate time for mitigation measures when an excessive number of activations are detected.

The LoRa Alliance launched its roadmap for the development of the LoRaWAN open standard for IoT communications, referring to long-range radio (LoRa) low-power wide-area networks (LPWANs).

Education and Workforce

Texas A&M introduced a new Master of Science program for microelectronics and semiconductors, which will begin in fall 2025.

The Cornell NanoScale Science and Technology Facility (CNF) is partnering with Tompkins Cortland Community College and Penn State to offer a free Microelectronics and Nanomanufacturing Certificate Program to veterans and their dependents.

Eindhoven University of Technology (TU/e) has more than 700 researchers and 25 research group focused on the chip industry, but the number is projected to grow significantly due to the Dutch government’s recent investment.

Research

Intel announced a large-scale neuromorphic system based on its Loihi 2 processor. Initially deployed at Sandia National Laboratories, it aims to support research for future brain-inspired AI. Intel is also collaborating with Seekr on next-gen LLM and foundation models.

Los Alamos National Lab, HPE, and NVIDIA collaborated on the design and installation of Venado, the Lab’s new supercomputer. “Venado adds to our cutting-edge supercomputing that advances national security and basic research, and it will accelerate how we integrate artificial intelligence into meeting those challenges,” said Thom Mason, director of Los Alamos National Laboratory in a release.

Penn State is partnering with Morgan Advanced Materials on a five-year, multi-million-dollar research project to advance silicon carbide (SiC) technology. Morgan will become a founding member of the Penn State Silicon Carbide Innovation Alliance. Also, Coherent secured CHIPS Act funding of $15 million for research into high-voltage, high-power silicon carbide and single-crystal diamond semiconductors.

Oak Ridge National Laboratory (ORNL) researchers found a more efficient way to extract lithium from waste liquids leached from mining sites, oil fields, and used batteries.

Quantum

Quantinuum said it reached an inherent 99.9% 2-qubit gate fidelity in its commercial quantum computer, a point at which quantum error correction protocols can be used to greatly reduce error rates.

D-Wave Quantum uncorked a fast-anneal feature to speed up computations on its quantum processing units, which reduces the impact of external disturbances.

MIT researchers outlined a new conceptual model for a quantum computer that aims to make writing code for them easier.

SLAC National Accelerator Laboratory, Stanford University, Max Planck Institute of Quantum Optics, Ludwig-Maximilians-Universitat Munich, and Instituto de Ciencia de Materiales de Madrid researchers proposed a method that harnesses the structure of light to tweak the properties of quantum materials.

Events

Find upcoming chip industry events here, including:

Upcoming webinars are here.

Further Reading

Read the latest special reports and top stories, or check out the latest newsletters:

Systems and Design
Low Power-High Performance
Test, Measurement and Analytics
Manufacturing, Packaging and Materials
Automotive, Security and Pervasive Computing

The post Chip Industry Week In Review appeared first on Semiconductor Engineering.

Now you can design and manufacture your own custom chips — for cheap!

The post DIY Silicon: Design Your Own Chips appeared first on Make: DIY Projects and Ideas for Makers.

SK hynix and TSMC plan to collaborate on HBM4 development and next-generation packaging technology, with plans to mass produce HBM4 chips in 2026. The agreement is an early indicator for just how competitive, and potentially lucrative, the HBM market is becoming. SK hynix said the collaboration will enable breakthroughs in memory performance with increased density of the memory controller at the base of the HBM stack.

Intel assembled the industry’s first high-NA EUV lithography system. “Compared to 0.33NA EUV, high-NA EUV (or 0.55NA EUV) can deliver higher imaging contrast for similar features, which enables less light per exposure, thereby reducing the time required to print each layer and increasing wafer output,” Intel said.

Fig. 1: Bigger iron — Intel’s brand new high-NA EUV machinery. Source: Intel

Samsung is slated to receive $6.4 billion in CHIPS ACT funding from the U.S. Department of Commerce (DoC) as part of a $40 billion expansion of its Austin, Texas, manufacturing facility, along with an R&D fab, a pair of leading-edge logic fabs, and an advanced packaging plant in nearby Taylor, Texas.

Micron and the U.S. government next week will announce $6.1 billion in CHIPS Act funding for the development of advanced memory chips in New York and Idaho, according to AP News.

Cadence unveiled its Palladium Z3 Emulation and Protium X3 FPGA Prototyping systems, targeted at multi-billion-gate designs with 2X increase in capacity and a 1.5X performance increase compared to previous-generation systems. Cadence also teamed up with MemVerge to enable seamless support for AWS Spot instances for long-running high-memory EDA jobs, and extended its hybrid cloud environment solutions through a collaboration with NetApp.

Fig. 2: At CadenceLive Silicon Valley, NVIDIA CEO Jensen Huang (r.) discussed accelerated computing and generative AI with Cadence CEO Anirudh Devgan. Source: Semiconductor Engineering

Quick links to more news:

Global
Markets and Money
In-Depth
Security
Education and Workforce
Product and Standards
Research
Quantum
Events
Further Reading

Global

After Taiwan’s recent 7.2 magnitude earthquake, TSMC reached more the 70% tool recovery in its fabs within the first 10 hours and full recovery by the end of the third day, according to this week’s earnings call. Some wafers in process were scrapped but the company expects the lost production to be recovered in the second quarter.  Also in the call, TSMC said they expect their “customers to share some of the higher cost” of the overseas fabs and higher electricity costs.

Advantest‘s regional headquarters in Taiwan donated $2.2 million New Taiwan dollars ($680,000 US) for aid to victims and reconstruction efforts related to the Taiwan earthquake that struck on April 3.

Japan’s exports grew by more than 7% YoY in March, driven by an 11.3% increase in shipments of electronics and semiconductor manufacturing equipment, much of it to China, according to NikkeiAsia.

China‘s IC output grew 40% in the first quarter, primarily driven by EVs and smartphones, according to the South China Morning Post.

In the U.S., the Biden Administration released a notice of funding opportunity of $50 million targeted at small businesses pursuing advances in metrology research and technology. Also, the U.S. Department of Energy announced a $33 million funding opportunity for smart manufacturing technologies.

Germany‘s Fraunhofer IIS launched its On-Board Processor (FOBP) for the German Space Agency’s Heinrich Hertz communication satellite. FOBP can be controlled and reprogrammed from Earth and will be used to investigate creation of hybrid communication networks.

Markets and Money

RISC-V startup Rivos raised more than $250 million in capital investments to tape out its first power-optimized chips for data analytics and generative AI applications.

Silvaco filed to go public on Nasdaq. The company also received a $5 million convertible note investment from Microchip.

Microchip acquired Neuronix AI Labs to provide AI-enabled FPGA solutions for large-scale, high-performance edge applications.

The advanced packaging market saw a modest 4% increase in revenues in Q4 2023 versus the previous quarter, with a projected decline of 13% QoQ in the first quarter of 2024, reports Yole. Overall, the market is expected to increase from $38 billion in 2023 to $69.5 billion in 2029 with a CAGR of 10.7%.

TSMC’s CoWoS total capacity will increase by 150% in 2024 due to demand for NVIDIA’s Blackwell Platform, reports TrendForce.

ASML saw a nearly 40% drop in new litho equipment sales QoQ in Q1 2024 and a 61% drop in net bookings as manufacturers reduced investments in new capital equipment during the recent semiconductor market slump.

Global PC shipments rose about 3% YoY in Q1 2024, and that same growth is expected for full year 2024, reports Counterpoint. Manufacturers are predicted to promote AI PCs as semiconductor companies prepare to launch SoCs featuring higher TOPS.

The GenAI smartphone market share is predicted to reach 11% by 2024 and 43% by 2027, reports Counterpoint. Samsung likely will lead in 2024, but Apple may overtake it in 2025.

The RF GaN market is expected to exceed $2 billion by 2029, fueled by the defense and telecom infrastructure sectors, reports Yole.

In-Depth

Semiconductor Engineering published its Manufacturing, Packaging & Materials newsletter this week. Top articles include:

• Electromigration Concerns Grow In Advanced Packages
• What Works Best For Chiplets
• Enabling Advanced Devices With Atomic Layer Processes

Plus, check out these new stories and tech talks:

• Architecting Chips For High-Performance Computing
• Future-Proofing Automotive V2X
• Secure Movement Of Data In Test
• Challenges With Chiplets and Power Delivery

Security

In security research:

• Seoul National University, Sandia National Laboratories, Texas A&M University, and Applied Materials demonstrated a memristor crossbar architecture for encryption and decryption.
• Robert Bosch, Forschungszentrum Julich, and Newcastle University investigated techniques for error detection and correction in in-memory computing.
• The University of Florida introduced an automated framework that can help identify security assets for a design at the register-transfer level (RTL).

DARPA conducted successful in-air tests of AI flying an F-16 autonomously versus a human-piloted F-16 in visual-range combat scenarios.

The National Security Agency’s Artificial Intelligence Security Center (NSA AISC) published joint guidance on deploying AI systems securely with the Cybersecurity and Infrastructure Security Agency (CISA), the Federal Bureau of Investigation (FBI), and international partners. CISA also issued other alerts.

Products and Standards

Samsung uncorked LPDDR5X DRAM built on a 12nm process that supports up to 10.7 Gbps and expands the single package capacity of mobile DRAM up to 32 GB.

Keysight revealed its next-generation RF circuit simulation tool that supports multi-physics co-design of circuit, electromagnetic, and electrothermal simulations across Cadence, Synopsys, and Keysight platforms.

Renesas released its FemtoClock family of ultra-low jitter clock generators and jitter attenuators with 8 and 12 outputs, enabling clock tree designs for high-speed interconnect systems in telecom and data center switches, routers, medical imaging, and more.

Movellus expanded its droop response solutions with Aeonic Generate AWM3, which responds to voltage droops within 1 to 2 clock cycles while providing enhanced observability for droop profiling and enabling fine-grained dynamic frequency scaling.

Efabless announced the second version of its Python-based open-source EDA software for construction of customizable flows using proprietary or open-source tools.

Faraday Technology licensed Arm’s Cortex-A720AE IP to use in the development of AI-enabled vehicle ASICs. Also, Untether AI teamed up with Arm to enable its inference acceleration technology to be implemented alongside the latest-generation Automotive Enhanced technology from Arm for ADAS and autonomous vehicle applications.

FOXESS used Infineon’s 1,200V CoolSiC MOSFETs and EiceDRIVER gate drivers for industrial energy storage applications, aiming to promote green energy.

Emotors adopted Siemens’ Simcenter solutions for NVH testing of next-gen automotive e-drives.

SiTime debuted a family of clock generators for AI datacenter applications with clock, oscillator, and resonator in an integrated chip.

JEDEC published the JESD79-5C DDR5 SDRAM standard, which includes a DRAM data integrity improvement called Per-Row Activation Counting (PRAC) that precisely counts DRAM activations on a wordline granularity and alerts the system to pause traffic and designate time for mitigation measures when an excessive number of activations are detected.

The LoRa Alliance launched its roadmap for the development of the LoRaWAN open standard for IoT communications, referring to long-range radio (LoRa) low-power wide-area networks (LPWANs).

Education and Workforce

Texas A&M introduced a new Master of Science program for microelectronics and semiconductors, which will begin in fall 2025.

The Cornell NanoScale Science and Technology Facility (CNF) is partnering with Tompkins Cortland Community College and Penn State to offer a free Microelectronics and Nanomanufacturing Certificate Program to veterans and their dependents.

Eindhoven University of Technology (TU/e) has more than 700 researchers and 25 research group focused on the chip industry, but the number is projected to grow significantly due to the Dutch government’s recent investment.

Research

Intel announced a large-scale neuromorphic system based on its Loihi 2 processor. Initially deployed at Sandia National Laboratories, it aims to support research for future brain-inspired AI. Intel is also collaborating with Seekr on next-gen LLM and foundation models.

Los Alamos National Lab, HPE, and NVIDIA collaborated on the design and installation of Venado, the Lab’s new supercomputer. “Venado adds to our cutting-edge supercomputing that advances national security and basic research, and it will accelerate how we integrate artificial intelligence into meeting those challenges,” said Thom Mason, director of Los Alamos National Laboratory in a release.

Penn State is partnering with Morgan Advanced Materials on a five-year, multi-million-dollar research project to advance silicon carbide (SiC) technology. Morgan will become a founding member of the Penn State Silicon Carbide Innovation Alliance. Also, Coherent secured CHIPS Act funding of $15 million for research into high-voltage, high-power silicon carbide and single-crystal diamond semiconductors.

Oak Ridge National Laboratory (ORNL) researchers found a more efficient way to extract lithium from waste liquids leached from mining sites, oil fields, and used batteries.

Quantum

Quantinuum said it reached an inherent 99.9% 2-qubit gate fidelity in its commercial quantum computer, a point at which quantum error correction protocols can be used to greatly reduce error rates.

D-Wave Quantum uncorked a fast-anneal feature to speed up computations on its quantum processing units, which reduces the impact of external disturbances.

MIT researchers outlined a new conceptual model for a quantum computer that aims to make writing code for them easier.

SLAC National Accelerator Laboratory, Stanford University, Max Planck Institute of Quantum Optics, Ludwig-Maximilians-Universitat Munich, and Instituto de Ciencia de Materiales de Madrid researchers proposed a method that harnesses the structure of light to tweak the properties of quantum materials.

Events

Find upcoming chip industry events here, including:

Upcoming webinars are here.

Further Reading

Read the latest special reports and top stories, or check out the latest newsletters:

Systems and Design
Low Power-High Performance
Test, Measurement and Analytics
Manufacturing, Packaging and Materials
Automotive, Security and Pervasive Computing

The post Chip Industry Week In Review appeared first on Semiconductor Engineering.

Chiplets are gaining renewed attention in the automotive market, where increasing electrification and intense competition are forcing companies to accelerate their design and production schedules.

Electrification has lit a fire under some of the biggest and best-known carmakers, which are struggling to remain competitive in the face of very short market windows and constantly changing requirements. Unlike in the past, when carmakers typically ran on five- to seven-year design cycles, the latest technology in vehicles today may well be considered dated within several years. And if they cannot keep up, there is a whole new crop of startups producing cheap vehicles with the ability to update or change out features as quickly as a software update.

But software has speed, security, and reliability limitations, and being able to customize the hardware is where many automakers are now putting their efforts. This is where chiplets fit in, and the focus now is on how to build enough interoperability across large ecosystems to make this a plug-and-play market. The key factors to enable automotive chiplet interoperability include standardization, interconnect technologies, communication protocols, power and thermal management, security, testing, and ecosystem collaboration.

Similar to non-automotive applications at the board level, many design efforts are focusing on a die-to-die approach, which is driving a number of novel design considerations and tradeoffs. At the chip level, the interconnects between various processors, chips, memory, and I/O are becoming more complex due to increased design performance requirements, spurring a flurry of standards activities. Different interconnect and interface types have been proposed to serve varying purposes, while emerging chiplet technologies for dedicated functions — processors, memories, and I/Os, to name a few — are changing the approach to chip design.

“There is a realization by automotive OEMs that to control their own destiny, they’re going to have to control their own SoCs,” said David Fritz, vice president of virtual and hybrid systems at Siemens EDA. “However, they don’t understand how far along EDA has come since they were in college in 1982. Also, they believe they need to go to the latest process node, where a mask set is going to cost $100 million. They can’t afford that. They also don’t have access to talent because the talent pool is fairly small. With all that together comes the realization by the OEMs that to control their destiny, they need a technology that’s developed by others, but which can be combined however needed to have a unique differentiated product they are confident is future-proof for at least a few model years. Then it becomes economically viable. The only thing that fits the bill is chiplets.”

Chiplets can be optimized for specific functions, which can help automakers meet reliability, safety, security requirements with technology that has been proven across multiple vehicle designs. In addition, they can shorten time to market and ultimately reduce the cost of different features and functions.

Demand for chips has been on the rise for the past decade. According to Allied Market Research, global automotive chip demand will grow from $49.8 billion in 2021 to $121.3 billion by 2031. That growth will attract even more automotive chip innovation and investment, and chiplets are expected to be a big beneficiary.

But the marketplace for chiplets will take time to mature, and it will likely roll out in phases.  Initially, a vendor will provide different flavors of proprietary dies. Then, partners will work together to supply chiplets to support each other, as has already happened with some vendors. The final stage will be universally interoperable chiplets, as supported by UCIe or some other interconnect scheme.

Getting to the final stage will be the hardest, and it will require significant changes. To ensure interoperability, large enough portions of the automotive ecosystem and supply chain must come together, including hardware and software developers, foundries, OSATs, and material and equipment suppliers.

Momentum is building
On the plus side, not all of this is starting from scratch. At the board level, modules and sub-systems always have used onboard chip-to-chip interfaces, and they will continue to do so. Various chip and IP providers, including Cadence, Diode, Microchip, NXP, Renesas, Rambus, Infineon, Arm, and Synopsys, provide off-the-shelf interface chips or IP to create the interface silicon.

The Universal Chiplet Interconnect Express (UCIe) Consortium is the driving force behind the die-to-die, open interconnect standard. The group released its latest UCIe 1.1 specification in August 2023. Board members include Alibaba, AMD, Arm, ASE, Google Cloud, Intel, Meta, Microsoft, NVIDIA, Qualcomm, Samsung, and others. Industry partners are showing widespread support. AIB and Bunch of Wires (BoW) also have been proposed. In addition, Arm just released its own Chiplet System Architecture, along with an updated AMBA spec to standardize protocols for chiplets.

“Chiplets are already here, driven by necessity,” said Arif Khan, senior product marketing group director for design IP at Cadence. “The growing processor and SoC sizes are hitting the reticle limit and the diseconomies of scale. Incremental gains from process technology advances are lower than rising cost per transistor and design. The advances in packaging technology (2.5D/3D) and interface standardization at a die-to-die level, such as UCIe, will facilitate chiplet development.”

Nearly all of the chiplets used today are developed in-house by big chipmakers such as Intel, AMD, and Marvell, because they can tightly control the characteristics and behavior of those chiplets. But there is work underway at every level to open this market to more players. When that happens, smaller companies can begin capitalizing on what the high-profile trailblazers have accomplished so far, and innovating around those developments.

“Many of us believe the dream of having an off-the-shelf, interoperable chiplet portfolio will likely take years before becoming a reality,” said Guillaume Boillet, senior director strategic marketing at Arteris, adding that interoperability will emerge from groups of partners who are addressing the risk of incomplete specifications.

This also is raising the attractiveness of FPGAs and eFPGAs, which can provide a level of customization and updates for hardware in the field. “Chiplets are a real thing,” said Geoff Tate, CEO of Flex Logix. “Right now, a company building two or more chiplets can operate much more economically than a company building near-reticle-size die with almost no yield. Chiplet standardization still appears to be far away. Even UCIe is not a fixed standard yet. Not all agree on UCIe, bare die testing, and who owns the problem when the integrated package doesn’t work, etc. We do have some customers who use or are evaluating eFPGA for interfaces where standards are in flux like UCIe. They can implement silicon now and use the eFPGA to conform to standards changes later.”

There are other efforts supporting chiplets, as well, although for somewhat different reasons — notably, the rising cost of device scaling and the need to incorporate more features into chips, which are reticle-constrained at the most advanced nodes. But those efforts also pave the way for chiplets in automotive, and there is strong industry backing to make this all work. For example, under the sponsorship of SEMI, ASME, and three IEEE Societies, the new Heterogeneous Integration Roadmap (HIR) looks at various microelectronics design, materials, and packaging issues to come up with a roadmap for the semiconductor industry. Their current focus includes 2.5D, 3D-ICs, wafer-level packaging, integrated photonics, MEMS and sensors, and system-in-package (SiP), aerospace, automotive, and more.

At the recent Heterogeneous Integration Global Summit 2023, representatives from AMD, Applied Materials, ASE, Lam Research, MediaTek, Micron, Onto Innovation, TSMC, and others demonstrated strong support for chiplets. Another group that supports chiplets is the Chiplet Design Exchange (CDX) working group , which is part of the Open Domain Specific Architecture (ODSA) and the Open Compute Project Foundation (OCP). The Chiplet Design Exchange (CDX) charter focuses on the various characteristics of chiplet and chiplet integration, including electrical, mechanical, and thermal design exchange standards of the 2.5D stacked, and 3D Integrated Circuits (3D-ICs). Its representatives include Ansys, Applied Materials, Arm, Ayar Labs, Broadcom, Cadence, Intel, Macom, Marvell, Microsemi, NXP, Siemens EDA, Synopsys, and others.

“The things that automotive companies want in terms of what each chiplet does in terms of functionality is still in an upheaval mode,” Siemens’ Fritz noted. “One extreme has these problems, the other extreme has those problems. This is the sweet spot. This is what’s needed. And these are the types of companies that can go off and do that sort of work, and then you could put them together. Then this interoperability thing is not a big deal. The OEM can make it too complex by saying, ‘I have to handle that whole spectrum of possibilities.’ The alternative is that they could say, ‘It’s just like a high speed PCIe. If I want to communicate from one to the other, I already know how to do that. I’ve got drivers that are running my operating system. That would solve an awful lot of problems, and that’s where I believe it’s going to end up.”

One path to universal chiplet development?

Moving forward, chiplets are a focal point for both the automotive and chip industries, and that will involve everything from chiplet IP to memory interconnects and customization options and limitations.

For example, Renesas Electronics announced in November 2023 plans for its next-generation SoCs and MCUs. The company is targeting all major applications across the automotive digital domain, including advance information about its fifth-generation R-Car SoC for high-performance applications with advanced in-package chiplet integration technology, which is meant to provide automotive engineers greater flexibility to customize their designs.

Renesas noted that if more AI performance is required in Advanced Driver Assistance Systems (ADAS), engineers will have the capability to integrate AI accelerators into a single chip. The company said this roadmap comes after years of collaboration and discussions with Tier 1 and OEM customers, which have been clamoring for a way to accelerate development without compromising quality, including designing and verifying the software even before the hardware is available.

“Due to the ever increasing needs to increase compute on demand, and the increasing need for higher levels of autonomy in the cars of tomorrow, we see challenges in monolithic solutions scaling and providing the performance needs of the market in the upcoming years,” said Vasanth Waran, senior director for SoC Business & Strategies at Renesas. “Chiplets allows for the compute solutions to scale above and beyond the needs of the market.”

Renesas announced plans to create a chiplet-based product family specifically targeted at the automotive market starting in 2025.

Standard interfaces allow for SoC customization
It is not entirely clear how much overlap there will be between standard processors, which is where most chiplets are used today, and chiplets developed for automotive applications. But the underlying technologies and developments certainly will build off each other as this technology shifts into new markets.

“Whether it is an AI accelerator or ADAS automotive application, customers need standard interface IP blocks,” noted David Ridgeway, senior product manager, IP accelerated solutions group at Synopsys. “It is important to provide fully verified IP subsystems around their IP customization requirements to support the subsystem components used in the customers’ SoCs. When I say customization, you might not realize how customizable IP has become over the course of the last 10 to 20 years, on the PHY side as well as the controller side. For example, PCI Express has gone from PCIe Gen 3 to Gen 4 to Gen 5 and now Gen 6. The controller can be configured to support multiple bifurcation modes of smaller link widths, including one x16, two x8, or four x4. Our subsystem IP team works with customers to ensure all the customization requirements are met. For AI applications, signal and power integrity is extremely important to meet their performance requirements. Almost all our customers are seeking to push the envelope to achieve the highest memory bandwidth speeds possible so that their TPU can process many more transactions per second. Whenever the applications are cloud computing or artificial intelligence, customers want the fastest response rate possible.”

Fig 1: IP blocks including processor, digital, PHY, and verification help developers implement the entire SoC. Source: Synopsys

Optimizing PPA serves the ultimate goal of increasing efficiency, and this makes chiplets particularly attractive in automotive applications. When UCIe matures, it is expected to improve overall performance exponentially. For example, UCIe can deliver a shoreline bandwidth of 28 to 224 GB/s/mm in a standard package, and 165 to 1317 GB/s/mm in an advanced package. This represents a performance improvement of 20- to 100-fold. Bringing latency down from 20ns to 2ns represents a 10-fold improvement. Around 10 times greater power efficiency, at 0.5 pJ/b (standard package) and 0.25 pJ/b (advanced package), is another plus. The key is shortening the interface distance whenever possible.

To optimize chiplet designs, the UCIe Consortium provides some suggestions:

• Careful planning consideration of architectural cut-lines (i.e. chiplet boundaries), optimizing for power, latency, silicon area, and IP reuse. For example, customizing one chiplet that needs a leading-edge process node while re-using other chiplets on older nodes may impact cost and time.
• Thermal and mechanical packaging constraints need to be planned out for package thermal envelopes, hot spots, chiplet placements and I/O routing and breakouts.
• Process nodes need to be carefully selected, particularly in the context of the associated power delivery scheme.
• Test strategy for chiplets and packaged/assembled parts need to be developed up front to ensure silicon issues are caught at the chiplet-level testing phase rather than after they are assembled into a package.

Conclusion
The idea of standardizing die-to-die interfaces is catching on quickly but the path to get there will take time, effort, and a lot of collaboration among companies that rarely talk with each other. Building a vehicle takes one determine carmaker. Building a vehicle with chiplets requires an entire ecosystem that includes the developers, foundries, OSATs, and material and equipment suppliers to work together.

Automotive OEMs are experts at putting systems together and at finding innovative ways to cut costs. But it remains to seen how quickly and effectively they can build and leverage an ecosystem of interoperable chiplets to shrink design cycles, improve customization, and adapt to a world in which the leading edge technology may be outdated by the time it is fully designed, tested, and available to consumers.

— Ann Mutschler contributed to this report.

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