Stream Processors, Inc. (SPI) recently unveiled its data-parallel processor architecture and announced two chips based on the architecture. According to SPI, its architecture is optimized for ...

BURLINGAME, Calif.--(BUSINESS WIRE)--Quadric (quadric.io), an innovator in high-performance edge processing, has introduced a unified silicon and software platform that unlocks the power of on-device ...

In the last few years a number of start-up companies have announced massively parallel processors for embedded DSP applications. With their arrays of processing elements, these processors target ...

Programming parallel processors isn't easy, especially when the number of processing elements is large. No single technique applies to all situations. But in its Storm-1 architecture, Stream ...

You can't swing a dead cat six inches these days without hitting a a new Kickstarter project. When it works, Kickstarter is a great way to tie niche ideas or new concepts directly to people interested ...

To a certain extent, the “Knights” family of parallel processors, sold under the brand name Xeon Phi, by Intel were exactly what they were supposed to be: A non-mainstream product that tried out a ...

There are two supercomputers named “Aurora” that are affiliated with Argonne National Laboratory – the one that was supposed to be built this year and the one that for a short time last year was known ...

The processor's SIMD portion enables one instruction to be simultaneously executed by a number (two, four, eight, or 16) of DSP processors called parallel datapath units. The CW4011 implementation ...

Processor vendors are starting to emphasize microarchitectural improvements and data movement over process node scaling, setting the stage for much bigger performance gains in devices that narrowly ...

A new technical paper titled “Massively parallel and universal approximation of nonlinear functions using diffractive processors” was published by researchers at UCLA. “Nonlinear computation is ...

This course focuses on developing and optimizing applications software on massively parallel graphics processing units (GPUs). Such processing units routinely come with hundreds to thousands of cores ...