Chip Industry Week In Review


By Jesse Allen, Gregory Haley, and Liz Allan Intel officially launched Intel Foundry this week, claiming it's the "world's first systems foundry for the AI era." The foundry also showed off a more detailed technology roadmap down to expanded 14A process technology. Intel CEO Pat Gelsinger noted the foundry will be separate from the chipmaker, utilize third-party chiplets and IP, and leverage... » read more

Why Chiplets Are So Critical In Automotive


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 requir... » read more

Chip Industry Week In Review


By Jesse Allen, Linda Christensen, and Liz Allan.  The Biden administration plans to invest more than $5B  for semiconductor R&D and workforce support, including in the National Semiconductor Technology Center (NSTC), as part of the rollout of the CHIPS Act. Today's announcement included at least hundreds of millions for the NSTC workforce efforts, including creating a Workforce Cente... » read more

Chip Industry Week In Review


By Jesse Allen, Gregory Haley, and Liz Allan. Cadence introduced an AI-based thermal stress and analysis platform aimed at 2.5D and 3D-ICs, and cooling for PCBs and electronic assemblies. The company also debuted a HW/SW accelerated digital twin solution for multi-physics system design and analysis, combining GPU-resident computational fluid dynamics (CFD) solvers with dedicated GPU hardwar... » read more

3D Integration Supports CIM Versatility And Accuracy


Compute-in-memory (CIM) is gaining attention due to its efficiency in limiting the movement of massive volumes of data, but it's not perfect. CIM modules can help reduce the cost of computation for AI workloads, and they can learn from the highly efficient approaches taken by biological brains. When it comes to versatility, scalability, and accuracy, however, significant tradeoffs are requir... » read more

Money Pours Into New Fabs And Facilities


Fabs, packaging, test and assembly, and R&D all drew major funding in 2023. Companies poured money into offshore locations, such as India and Malaysia, to access a larger workforce and lower costs, while also partnering with governments to secure domestic supply chains amid ongoing geopolitical turmoil. Looking ahead, artificial intelligence (AI), quantum computing, and data applications... » read more

Chip Industry Week In Review


By Jesse Allen, Gregory Haley, and Liz Allan Synopsys acquired Imperas, pushing further into the RISC-V world with Imperas' virtual platform technology for verifying and emulating processors. Synopsys has been building up its RISC-V portfolio, starting with ARC-V processor IP and a full suite of tools introduced last month. The first high-NA EUV R&D center in the U.S. will be built at... » read more

Making Heterogeneous Integration More Predictable


Experts at the Table: Semiconductor Engineering sat down to discuss problems and potential solutions in heterogeneous integration with Dick Otte, president and CEO of Promex Industries; Mike Kelly, vice president of chiplets/FCBGA integration at Amkor Technology; Shekhar Kapoor, senior director of product management at Synopsys; John Park, product management group director in Cadence's Custom I... » read more

Chip Industry Week In Review


By Jesse Allen, Susan Rambo, and Liz Allan The U.S. government will invest about $3 billion for the National Advanced Packaging Manufacturing Program (NAPMP), including an advanced packaging piloting facility to help U.S. manufacturers adopt new technology and workforce training programs. It also will provide funding for projects concentrating on materials and substrates; equipment, tools, ... » read more

Increasing AI Energy Efficiency With Compute In Memory


Skyrocketing AI compute workloads and fixed power budgets are forcing chip and system architects to take a much harder look at compute in memory (CIM), which until recently was considered little more than a science project. CIM solves two problems. First, it takes more energy to move data back and forth between memory and processor than to actually process it. And second, there is so much da... » read more

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