Week In Review: Design, Low Power


Keysight Technologies said it intends to acquire ESI Group for €913 million (~$998.6 million). ESI Group provides virtual prototyping solutions for the automotive and aerospace end markets that can create real-time digital twins to simulate a product's behavior during testing and real-life use. MLCommons announced the latest results from two MLPerf benchmark suites. One aims to measure the... » read more

Supercomputing Efficiency Lags Performance Gains


In last month’s article, Top 500: Frontier is Still on Top, I wrote about the latest versions of the Top500 and Green500 lists. Power is an incredibly important aspect of designing a world performance leading supercomputer. (Why, I can remember back to when you could run the world’s fastest machine on only a couple MW of power.) The first Green500 list was published back in 2013. Happy 1... » read more

Changes In Memory Design


An explosion of data in automotive, cloud, and AI are altering the fundamentals of memory design. One size no longer fits all, as memory is used for a broader set of applications, from automotive and cloud to consumer devices. Anand Theruvengadam, director of product management at Synopsys, talks about the impact of big data applications on density, memory stacking, and growing concerns about r... » read more

Challenges Grow For Data Management And Sharing In EDA


Semiconductor Engineering sat down to talk about more openness in EDA data, how increased complexity is affecting time to working silicon, and the impact of geopolitics, with Joseph Sawicki, executive vice president for IC EDA at Siemens Digital Industries Software; John Kibarian, president and CEO of PDF Solutions; John Lee, general manager and vice president of Ansys' Semiconductor Business U... » read more

Resistive Switching Memory Based on Thin-Film Design of Amorphous Hafnium Oxide (Cambridge & Others)


A technical paper titled “Thin-film design of amorphous hafnium oxide nanocomposites enabling strong interfacial resistive switching uniformity” was published by researchers at University of Cambridge, Linköping University, Purdue University, University College London, Los Alamos National Laboratory, and University at Buffalo. Abstract: "A design concept of phase-separated amorphous nano... » read more

Self-Driving Cars: Formalization and Verification Of The Responsibility-Sensitive Safety (RSS) Model


A technical paper titled “Slow Down, Move Over: A Case Study in Formal Verification, Refinement, and Testing of the Responsibility-Sensitive Safety Model for Self-Driving Cars” was published by researchers at Carnegie Mellon University. Abstract: "Technology advances give us the hope of driving without human error, reducing vehicle emissions and simplifying an everyday task with the futur... » read more

Leveraging Large Language Models (LLMs) To Perform SW-HW Co-Design


A technical paper titled “On the Viability of using LLMs for SW/HW Co-Design: An Example in Designing CiM DNN Accelerators” was published by researchers at University of Notre Dame. Abstract: "Deep Neural Networks (DNNs) have demonstrated impressive performance across a wide range of tasks. However, deploying DNNs on edge devices poses significant challenges due to stringent power and com... » read more

Demonstrating The Utility Of Quantum Computing In A Pre-Fault-Tolerant Era


A technical paper titled “Evidence for the utility of quantum computing before fault tolerance” was published by researchers at IBM Quantum, University of California Berkeley, RIKEN, and Lawrence Berkeley National Laboratory. Abstract: "Quantum computing promises to offer substantial speed-ups over its classical counterpart for certain problems. However, the greatest impediment to realizi... » read more

Blog Review: June 28


In a podcast, Siemens' Spencer Acain discusses the role of AI and machine learning in IC verification and how it could help address noise by analyzing different signals from the diagnosis data to figure out the real root cause of a failure. Synopsys' Ian Land and Ron DiGiuseppe find that designers of aerospace microelectronics are applying lessons and technologies learned from the automotive... » read more

Balancing AI And Engineering Expertise In The Fab


Modeling and simulation are playing increasingly critical roles in chip development due to tighter process specs, shrinking process windows, and fierce competition to bring technologies to market first. Before a new device makes it to high-volume manufacturing, there are countless engineering hours spent on developing the lithography, etching, deposition, CMP, and many other processes, at hi... » read more

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