tag: GPUs

The Future Of AI Is In Materials
By Sundeep Bajikar - 09 Jan, 2018 - Comments: 0

I had the pleasure of hosting an eye-opening presentation and Q&A with Dr. Jeff Welser of IBM at a recent Applied Materials technical event in San Francisco. Dr. Welser is Vice President and Director of IBM Research's Almaden lab in San Jose. He made the case that the future of hardware is AI. At Applied Materials we believe that advanced materials engineering holds the keys to unlocking... » read more

Blockchain: Hype, Reality, Opportunities
By Susan Breidenbach - 04 Jan, 2018 - Comments: 4

Blockchain buzz has reached deafening levels, and its proponents say we haven’t heard anything yet. The blockchain-enabled transformations they describe make the Internet revolution look almost trivial. Critics argue that too many people drank the blockchain Kool-Aid. Outside the cryptocurrency arena, they say that blockchain amounts to little more than some really slick slideware. The ... » read more

CAE Turns To HPC
By Ansys - 13 Dec, 2017 - Comments: 0

How ANSYS is addressing the value of HPC technology within the CAE market, the main challenges to the use or uptake of HPC resources, and the future for HPC in CAE. The paper also briefly describes ANSYS Discovery Live — a new design tool that takes advantage of thousands of cores available in a GPU to produce instantaneous simulation results with every interactive change to the model. Discov... » read more

Targeting And Tailoring eFPGAs
By Ed Sperling - 17 Oct, 2017 - Comments: 0

Robert Blake, president and CEO of Achronix, sat down with Semiconductor Engineering to discuss what's changing in the embedded FPGA world, why new levels of customization are so important, and difficulty levels for implementing embedded programmability. What follows are excerpts of that discussion. SE: There are numerous ways you can go about creating a chip these days, but many of the prot... » read more

Verifying AI, Machine Learning
By Ed Sperling - 28 Sep, 2017 - Comments: 0

[getperson id="11306" comment="Raik Brinkmann"], president and CEO of [getentity id="22395" e_name="OneSpin Solutions"], sat down to talk about artificial intelligence, machine learning, and neuromorphic chips. What follows are excerpts of that conversation. SE: What's changing in [getkc id="305" kc_name="machine learning"]? Brinkmann: There’s a real push toward computing at the edge. ... » read more

The Limits Of IP Reuse
By Ed Sperling - 07 Sep, 2017 - Comments: 0

The basic business proposition for third-party IP is that it's cheaper, faster, and less problematic to buy rather than build. But things haven't exactly worked out according to plan, either for companies that license IP or those that develop it. For [getkc id="43" kc_name="IP"] licensees, just keeping track of an endless series of updates is becoming unwieldy. Complex designs often include ... » read more

What Does An AI Chip Look Like?
By Ed Sperling - 01 Mar, 2017 - Comments: 5

Depending upon your point of reference, artificial intelligence will be the next big thing or it will play a major role in all of the next big things. This explains the frenzy of activity in this sector over the past 18 months. Big companies are paying billions of dollars to acquire startup companies, and even more for R&D. In addition, governments around the globe are pouring additional... » read more

What’s Next For Transistors
By Mark LaPedus - 23 Jan, 2017 - Comments: 1

The IC industry is moving in several different directions at once. The largest chipmakers continue to march down process nodes with chip scaling, while others are moving towards various advanced packaging schemes. On top of that, post-CMOS devices, neuromorphic chips and quantum computing are all in the works. Semiconductor Engineering sat down to discuss these technologies with Marie Semeri... » read more

Homogeneous And Heterogeneous Computing Collide
By Brian Bailey - 22 Nov, 2016 - Comments: 0

Eleven years ago processors stopped scaling due to diminishing returns and the breakdown of [getkc id="213" kc_name="Dennard's Law"]. That set in motion a chain of events from which the industry has still not fully recovered. The transition to homogeneous multi-core processing presented the software side with a problem that they did not know how to solve, namely how to optimize the usage of ... » read more

System Bits: Nov. 8
By Ann Mutschler - 08 Nov, 2016 - Comments: 0

Optimizing multiprocessor programs for non-experts While ‘dynamic programming’ is a technique that yields efficient solutions to computational problems in economics, genomic analysis, and other fields, adapting it to multicore chips requires a level of programming expertise that few economists and biologists have. But researchers from MIT’s Computer Science and Artificial Intelligence La... » read more

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