tag: AI

Apples, Oranges & The Optimal AI Inference Accelerator
By Geoff Tate - 03 Sep, 2020 - Comments: 0

There are a wide range of AI inference accelerators available and a wide range of applications for them. No AI inference accelerator will be optimal for every application. For example, a data center class accelerator almost certainly will be too big, burn too much power, and cost too much for most edge applications. And an accelerator optimal for key word recognition won’t have the capabil... » read more

Intelligent System Design
By Cadence - 02 Sep, 2020 - Comments: 0

Electronics technology is proliferating to new, creative applications and appearing in our everyday lives. To compete, system companies are increasingly designing their own semiconductor chips, and semiconductor companies are delivering software stacks, to enable substantial differentiation of their products. This trend started in mobile devices and is now moving into cloud computing, automotiv... » read more

Manufacturing Bits: Sept. 1
By Mark LaPedus - 01 Sep, 2020 - Comments: 0

AI, quantum computing R&D centers The White House Office of Science and Technology Policy, the National Science Foundation (NSF), and the U.S. Department of Energy (DOE) have announced over $1 billion in awards for the establishment of several new artificial intelligence and quantum information science (QIS) research institutes in the U.S. Under the plan, the U.S. is launching seven new... » read more

Getting Particular About Partitioning
By Ed Sperling - 31 Aug, 2020 - Comments: 0

Partitioning could well be one of the most important and pervasive trends since the invention of computers. It has been around for almost as long, too. The idea dates back at least as far back as the Manhattan Project during World War II, when computations were wrapped within computations. It continued from there with what we know as time-sharing, which rather crudely partitioned access by p... » read more

Challenges In Using AI In Verification
By Ann Mutschler - 27 Aug, 2020 - Comments: 0

Pressure to use AI/ML techniques in design and verification is growing as the amount of data generated from complex chips continues to explode, but how to begin building those capabilities into tools, flows and methodologies isn't always obvious. For starters, there is debate about whether the data needs to be better understood before those techniques are used, or whether it's best to figure... » read more

The Evolution Of High-Level Synthesis
By Brian Bailey - 27 Aug, 2020 - Comments: 3

High-level synthesis is getting yet another chance to shine, this time from new markets and new technology nodes. But it's still unclear how fully this technology will be used. Despite gains, it remains unlikely to replace the incumbent RTL design methodology for most of the chip, as originally expected. Seen as the foundational technology for the next generation of EDA companies around the ... » read more

RISC-V’s Expanding Footprint
By Ed Sperling - 27 Aug, 2020 - Comments: 0

Zdenek Prikryl, CTO of Codasip, sat down with Semiconductor Engineering to talk about the RISC-V market, where this open instruction set architecture (ISA) is gaining ground, and what are the biggest challenges in working with this technology. SE: Where do you see the value in RISC-V? Is it for off-the-shelf processors or more customized components? Prikryl: A few years ago, RISC-V was us... » read more

Artificial Intelligence And Machine Learning Add New Capabilities to Traditional RF EDA Tools
By Cadence - 26 Aug, 2020 - Comments: 0

This article features contributions from RF EDA vendors on their various capabilities for artificial intelligence and machine learning. AWR Design Environment software is featured and highlights the network synthesis wizard. Click here to continue reading. » read more

Power/Performance Bits: Aug. 25
By Jesse Allen - 25 Aug, 2020 - Comments: 0

AI architecture optimization Researchers at Rice University, Stanford University, University of California Santa Barbara, and Texas A&M University proposed two complementary methods for optimizing data-centric processing. The first, called TIMELY, is an architecture developed for “processing-in-memory” (PIM). A promising PIM platform is resistive random access memory, or ReRAM. Whil... » read more

What’s Next For Semis?
By Mark LaPedus - 20 Aug, 2020 - Comments: 0

It’s been a turbulent year in the semiconductor industry. 2020 was supposed to be a strong year. Then, the coronavirus outbreak hit. Suddenly, a large percentage of countries implemented various measures to mitigate the outbreak, such as stay-at-home orders as well as business and store closures. Economic turmoil and job losses soon followed, not to mention the human tragedy involved. M... » read more

← Older posts Newer posts →

  • Sponsors

About

Navigation

Connect With Us

Copyright ©2013-2025 SMG   |  Terms of Service  |  Privacy Policy