Chip Industry Week In Review


By Jesse Allen, Gregory Haley, and Liz Allan Synopsys will acquire Ansys for about $35 billion in cash and stock. The deal will boost Synopsys' multi-physics simulation capabilities, which are essential for complex 3D-IC designs, where thermal density can have significant repercussions. The acquisition is expected to be finalized in the first half of 2025. Worldwide semiconductor revenue ... » read more

Chip Industry Week In Review


By Jesse Allen, Karen Heyman, and Liz Allan Renesas will acquire Transphorm, which designs and manufactures gallium nitride power devices, for about $339 million. GaN, which is a wide-bandgap technology, is used for high-voltage applications in a slew of markets, including EVs and EV fast chargers, as well as data centers and industrial applications. Cadence acquired Invecas, a provider o... » read more

Chip Industry Week In Review


By Jesse Allen, Karen Heyman, and Liz Allan AMD took the covers off new AI accelerators for training and inferencing of large language model and high-performance computing workloads. In its announcement, AMD focused heavily on performance leadership in the commercial AI processor space through a combination of architectural changes, better software efficiency, along with some improvements in... » read more

Chip Industry’s Technical Paper Roundup: Dec 5


New technical papers recently added to Semiconductor Engineering’s library: [table id=171 /] More ReadingTechnical Paper Library home » read more

Chip Industry Week In Review


By Susan Rambo, Gregory Haley, and Liz Allan Amkor plans to invest about $2 billion in a new advanced packaging and test facility in Peoria, Arizona. When finished, it will employ about 2,000 people and will be the largest outsourced advanced packaging facility in the U.S. The first phase of the construction is expected to be completed and operational within two to three years. Synopsys p... » read more

Alleviating the DRAM Capacity Bottleneck in Consumer Devices with NVMs


A new technical paper titled "Extending Memory Capacity in Modern Consumer Systems With Emerging Non-Volatile Memory: Experimental Analysis and Characterization Using the Intel Optane SSD" was published by researchers at ETH Zurich, University of Illinois Urbana-Champaign, Google, and Rivos. Abstract Excerpt "DRAM scalability is becoming a limiting factor to the available memory capacity in... » 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

Flipping Processor Design On Its Head


AI is changing processor design in fundamental ways, combining customized processing elements for specific AI workloads with more traditional processors for other tasks. But the tradeoffs are increasingly confusing, complex, and challenging to manage. For example, workloads can change faster than the time it takes to churn out customized designs. In addition, the AI-specific processes may ex... » read more

Chip Industry Week In Review


By Susan Rambo, Gregory Haley, Jesse Allen, and Liz Allan President Biden issued an executive order on the “Safe, Secure, and Trustworthy Development and Use of Artificial Intelligence.” It says entities need to report large-scale computing clusters and the total computing power available, including “any model that was trained using a quantity of computing power greater than 1,026 inte... » read more

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