EDA Pushes Deeper Into AI


EDA vendors are ramping up the use of AI/ML in their tools to help chipmakers and systems companies differentiate their products. In some cases, that means using AI to design AI chips, where the number and breadth of features and potential problems is exploding. What remains to be seen is how well these AI-designed chips behave over time, and where exactly AI benefits design teams. And all o... » read more

Blog Review: November 29


Siemens' Matt Walsh checks out electro-thermal design and how a Boundary Condition Independent Reduced Order Model (BCI-ROM) can capture accurate characteristics from a 3D thermal analysis, ready for use in a 1D circuit simulation. Cadence's Vinod Khera considers how EDA could benefit from the AI revolution by providing a productivity boost through virtual assistants and improving code quali... » 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

Chip Industry Week In Review


By Jesse Allen, Karen Heyman, and Liz Allan Japan's Rapidus and the University of Tokyo are teaming up with France's Leti to meet its previously announced mass production goal of 2nm chips by 2027, and chips in the 1nm range in the 2030s. Rapidus was formed in 2022 with the support of eight Japanese companies — Sony, Kioxia, Denso, NEC, NTT, SoftBank, Toyota, and Mitsubishi's banking arm, ... » read more

Blog Review: November 15


Cadence's Neelabh Singh explores the process of lane initialization and link training in bringing up a high-speed link in USB4. Synopsys' Shela Aboud argues that TCAD should be an integral part of an EDA flow as it enhances design technology co-optimization with a way to experiment and determine what works and what doesn’t work at different process nodes using physics-based models. Siem... » read more

DRAM Choices Are Suddenly Much More Complicated


Chipmakers are beginning to incorporate multiple types and flavors of DRAM in the same advanced package, setting the stage for increasingly distributed memory but significantly more complex designs. Despite years of predictions that DRAM would be replaced by other types of memory, it remains an essential component in nearly all computing. Rather than fading away, its footprint is increasing,... » read more

Chip Industry Week In Review


By Jesse Allen, Gregory Haley, and Liz Allan Bosch, Infineon, and NXP were cleared in Germany to each acquire 10% of the European Semiconductor Manufacturing Co. (ESMC), established by TSMC, solidifying the supply chain against future shortages, particularly for automotive chips. “ESMC intends to build and operate another large semiconductor factory in Dresden, in which the three Europ... » 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

Closing The Performance Gap Between DRAM And AI Processors


As the workhorse of semiconductor memory, DRAM holds a unique place in the industry thanks to its large storage capacity and ability to feed data and program code to the host processor quickly. Lately, this unsung hero of the circuit board has been taking a backseat to its logic counterparts, as a wave of high-performance FPGAs, CPUs, GPUs, TPUs and custom accelerator ASICs emerges to meet t... » read more

Flexible Temperature Measurement with the ZSSC3241 Enables Bridge as Temperature Sensor


Accurate measurement using sensor elements requires precise and local measurement of the element’s temperature for correction and compensation across a wide operating range. Thus, an integral part of Sensor Signal Conditioner (SSC) functionality is to provide at least one or more methods to measure temperature of the sensor element, which is typically a resistive bridge or capacitive transduc... » read more

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