The Challenge Of Keeping AI Systems Current

By Ed Sperling And Susan Rambo - 19 Aug, 2020 - Comments: 0

Semiconductor Engineering sat down to discuss AI and its move to the edge with Steven Woo, vice president of enterprise solutions technology and distinguished inventor at Rambus; Kris Ardis, executive director at Maxim Integrated; Steve Roddy, vice president of Arm's Products Learning Group; and Vinay Mehta, inference technical marketing manager at Flex Logix. What follows are excerpts of that ... » read more

Smaller Nodes, Much Bigger Problems

By Ed Sperling - 15 Jul, 2020 - Comments: 3

João Geada, chief technologist at Ansys, sat down with Semiconductor Engineering to talk about device scaling, advanced packaging, increasing complexity and the growing role of AI. What follows are excerpts of that conversation. SE: We've been pushing along Moore's Law for roughly a half-century. What sorts of problems are you seeing now that you didn't see a couple nodes ago? Geada: The... » read more

Week In Review: Auto, Security, Pervasive Computing

By Susan Rambo - 15 May, 2020 - Comments: 0

Security Ninety-one percent of commercial applications contain outdated or abandoned open-source components —a security threat, says Synopsys in its recently released report 2020 Open Source Security and Risk Analysis (OSSRA). In the fifth annual edition of the report, Synopsys’ research team in its Cybersecurity Research Center (CyRC) found that 99% of the 1,250 commercial codebases revie... » read more

Re-Imagining The GPU

By Susan Rambo And Ed Sperling - 23 Apr, 2020 - Comments: 0

John Rayfield, CTO at Imagination Technologies, sat down with Semiconductor Engineering to talk about RISC-V, AI, and computing architectures. What follows are excerpts of that conversation. SE: What your plans are for RISC-V? Rayfield: We're actively finalizing the integration of RISC-V cores into future-generation GPUs. That work has been going on for several months. Moving forward, we'... » read more

Tracking Automotive’s Rapidly Shifting Ecosystem

By Ann Mutschler - 02 Apr, 2020 - Comments: 0

The automotive ecosystem is becoming much harder to navigate as automakers, Tier 1s and IP vendors redefine their relationships based upon shifting value caused by an rapidly expanding amount of increasingly interdependent and complex electronic content. Predictions of massive change started almost a decade ago with a number of pilot programs around autonomous vehicles. But those shifts real... » read more

Software-Defined Hardware Gains Ground — Again

By Ann Mutschler - 26 Mar, 2020 - Comments: 0

The traditional approach of running generic software on x86-based CPUs is running out of steam for many applications due to the slowdown of Moore’s Law and the concurrent exponential growth in software application complexity and scale. In this environment, the software and hardware are disparate due the dominance of the x86 architecture. “The need for and advent of the hardware accelerat... » read more

What Machine Learning Can Do In Fabs

By Mark LaPedus - 25 Mar, 2020 - Comments: 0

Semiconductor Engineering sat down to discuss the issues and challenges with machine learning in semiconductor manufacturing with Kurt Ronse, director of the advanced lithography program at Imec; Yudong Hao, senior director of marketing at Onto Innovation; Romain Roux, data scientist at Mycronic; and Aki Fujimura, chief executive of D2S. What follows are excerpts of that conversation. L-R:... » read more

Machine Learning At The Edge

By Mentor, a Siemens Business - 11 Mar, 2020 - Comments: 0

Moving machine learning to the edge has critical requirements on power and performance. Using off-the-shelf solutions is not practical. CPUs are too slow, GPUs/TPUs are expensive and consume too much power, and even generic machine learning accelerators can be overbuilt and are not optimal for power. In this paper, learn about creating new power/memory efficient hardware architectures to meet n... » read more

High-Performance Memory For AI And HPC

By Ed Sperling - 09 Mar, 2020 - Comments: 0

Frank Ferro, senior director of product management at Rambus, examines the current performance bottlenecks in high-performance computing, drilling down into power and performance for different memory options, and explains what are the best solutions for different applications and why. » read more

New Architectural Issues Facing Auto Ecosystem

By Ann Mutschler - 05 Mar, 2020 - Comments: 0

As chips bound for the automotive world move to small process nodes, including 5nm and below, the automotive ecosystem is wrestling with both scaling issues and challenges related to architecting safety-critical systems using fewer chips. This may sound counterintuitive, because one of the main reasons automotive chip providers are moving to smaller nodes is to reduce the number of chips in ... » read more

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Knowledge Centers
Entities, people and technologies explored

Shift Left Is The Tip Of The Iceberg

A transformative change is underway for semiconductor design and EDA. New languages, models, and abstractions will need to be created.

by Brian Bailey

Partitioning In The Chiplet Era

Understanding how chiplets interact under different workloads is critical to ensuring signal integrity and optimal performance in heterogeneous designs.

by Ann Mutschler

3.5D: The Great Compromise

Pros and cons of a middle-ground chiplet assembly that combines 2.5D and 3D-IC.

by Ed Sperling

AI’s Role In Chip Design Widens, Drawing In New Startups

Focus is on letting engineers do much more with the same or fewer resources — and less drudgery.

by Karen Heyman

Key Technologies To Extend EUV To 14 Angstroms

Alongside high-NA EUV will be better-performing photoresists, reduced roughness using passivation and etch, and lateral etching to reduce tip-to-tip dimensions.

by Laura Peters

What Comes After HBM For Chiplets

The standard for high-bandwidth memory limits design freedom at many levels, but that is required for interoperability. What freedoms can be taken from other functions to make chiplets possible?

by Brian Bailey

Memory Fundamentals For Engineers

eBook: Nearly everything you need to know about memory, including detailed explanations of the different types of memory; how and where these are used today; what's changing, which memories are successful and which ones might be in the future; and the limitations of each memory type.

by The SE Staff

Why Small Fab And Assembly Houses Are Thriving

Megafabs churning out the most advanced processors are not the only game in town.

by Bryon Moyer

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