tag: AI

From Data Center To End Device: AI/ML Inferencing With GDDR6
By Rambus - 09 Sep, 2020 - Comments: 0

Created to support 3D gaming on consoles and PCs, GDDR packs performance that makes it an ideal solution for AI/ML inferencing. As inferencing migrates from the heart of the data center to the network edge, and ultimately to a broad range of AI-powered IoT devices, GDDR memory’s combination of high bandwidth, low latency, power efficiency and suitability for high-volume applications will be i... » read more

For AI Hardware, Power Optimization Starts With Software And Ends At Silicon
By Solaiman Rahim - 04 Sep, 2020 - Comments: 0

Artificial intelligence (AI) processing hardware has emerged as a critical piece of today’s tech innovation. AI hardware architecture is very symmetric with large arrays of up to thousands of processing elements (tiles), leading to billion+ gate designs and huge power consumption. For example, the Tesla auto-pilot software stack consumes 72W of power, while the neural network accelerator cons... » read more

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

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