Chip Industry Week In Review

By The SE Staff - 19 Apr, 2024 - Comments: 0

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 t... » read more

Chip Industry Week In Review

By The SE Staff - 12 Apr, 2024 - Comments: 0

Applied Materials may scale back or cancel its $4 billion new Silicon Valley R&D facility in light of the U.S. government's recent announcement to reduce funding for construction, modernization, or expansion of semiconductor research and development (R&D) facilities in the United States, according to the San Francisco Chronicle. TSMC could receive up to $6.6 billion in direct funding... » read more

Chip Industry Technical Paper Roundup: March 26

By Linda Christensen - 26 Mar, 2024 - Comments: 0

New technical papers recently added to Semiconductor Engineering’s library. [table id=209 /] Find last week's technical paper additions here. » read more

Chip Industry Week In Review

By The SE Staff - 22 Mar, 2024 - Comments: 0

By Adam Kovac, Gregory Haley, and Liz Allan. The U.S. government released a 61-page report, titled "National Strategy on Microelectronics Research,” by the Subcommittee On Microelectronics Leadership. It provides a framework for government, industry, academia, and international allies to address four major goals. Synopsys acquired Intrinsic ID, which develops physical unclonable func... » read more

Digital Twins Target IC Tool And Fab Efficiency

By Laura Peters - 21 Mar, 2024 - Comments: 0

Digital twins have emerged as the hot "new" semiconductor manufacturing technology, enabling fabs to create a virtual representation of a physical system on which to experiment and optimize what's going on inside the real fab. While digital twin technology has been in use for some time in other industries, its use has been limited in semiconductor manufacturing. What's changing is the breadt... » read more

Transformer Model Based Clustering Methodology For Standard Cell Layout Automation (Nvidia)

By Technical Paper Link - 19 Mar, 2024 - Comments: 0

A new technical paper titled "Novel Transformer Model Based Clustering Method for Standard Cell Design Automation" was published by researchers at Nvidia. Abstract "Standard cells are essential components of modern digital circuit designs. With process technologies advancing beyond 5nm, more routability issues have arisen due to the decreasing number of routing tracks (RTs), increasing numb... » read more

Chip Industry Week In Review

By The SE Staff - 15 Mar, 2024 - Comments: 0

By Adam Kovac, Karen Heyman, and Liz Allan. Europe's semiconductor footprint is growing in areas that previously had little association with chips. Silicon Box plans to build a panel-level foundry in northern Italy, funded in part by the Italian government. The deal is worth around €3.2 billion ($3.6B). In addition, imec will establish a specialized 300mm chip technology pilot line in M... » read more

Chip Industry Technical Paper Roundup: Mar. 11

By Liz Allan - 11 Mar, 2024 - Comments: 0

New technical papers added to Semiconductor Engineering’s library this week. [table id=205 /] More ReadingTechnical Paper Library home » read more

Chip Industry Week In Review

By The SE Staff - 08 Mar, 2024 - Comments: 0

By Adam Kovac, Gregory Haley, and Liz Allan. Cadence plans to acquire BETA CAE Systems for $1.24 billion, the latest volley in a race to sell multi-physics simulation and analysis across a broad set of customers with deep pockets. Cadence said the deal opens the door to structural analysis for the automotive, aerospace, industrial, and health care sectors. Under the terms of the agreement, 6... » read more

Efficient Streaming Language Models With Attention Sinks (MIT, Meta, CMU, NVIDIA)

By Technical Paper Link - 04 Mar, 2024 - Comments: 0

A technical paper titled “Efficient Streaming Language Models with Attention Sinks” was published by researchers at Massachusetts Institute of Technology (MIT), Meta AI, Carnegie Mellon University (CMU), and NVIDIA. Abstract: "Deploying Large Language Models (LLMs) in streaming applications such as multi-round dialogue, where long interactions are expected, is urgently needed but poses tw... » read more

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