- NVIDIA Toolsets Target GPU Acceleration of Deep Learning, Other Algorithms for High-Performance Computing
- Jeff Bier’s Impulse Response—Neural Network Processors: Has Their Time Come?
- Case Study: Algorithm Optimizations Efficiently Utilize Processor Features
- Analog Devices' SHARC Doubles Up, Adds ARM Option
- CogniVue's "Opus" APEX Generation 3: Vision Processing With Implementation Flexibility
NVIDIA Toolsets Target GPU Acceleration of Deep Learning, Other Algorithms for High-Performance Computing
July 22, 2015 | Write the first comment.
"General-purpose GPU" (or "GPGPU") refers to the use of graphics processors for a variety of non-graphics tasks, and is a frequently discussed topic here at InsideDSP . GPUs are massively parallel processors, originally designed to only handle vertex and pixel operations.
With the MM3101 , launched at the January 2012 Consumer Electronics Show, silicon IP supplier CEVA for the first time provided a processor core with instructions and other features specifically tailored for computer vision algorithms. (The precursor MM2000 and MM3000 were focused
March 31, 2015 | Write the first comment.
Back in early 2010, Xilinx first began discussing its "Extensible Processing Platform" concept, followed by a formal introduction of the Zynq-7000 product family one year later (with initial sampling another year after that). Zynq-7000 wasn't the first processor-plus-programmable
The phrase "garbage in, garbage out" is usually associated with writing and using computer programs. In fact, the concept originated with Charles Babbage, inventor of the first computer. Amusingly, Babbage wrote: On two occasions I have been asked, 'Pray, Mr. Babbage, if you put
November 17, 2014 | Write the first comment.
The December 2012 edition of InsideDSP included the article " Texas Instruments' Latest KeyStone II SoCs: Is A Special-Purpose Server Strategy Feasible? ," which discussed TI's 66AK2Hx SoCs for specialized server applications. Based on the company's KeyStone II architecture,
Qualcomm recently opened up the QDSP6 (aka "Hexagon") DSP core in its Snapdragon SoCs to programming access by its customers and software developer partners. Multimedia applications, for example, can benefit from leveraging QDSP6 processing resources , boosting overall performance,
October 15, 2014 | Write the first comment.
A growing number of products are incorporating computer vision capabilities. This, in turn, has led to rapid growth in the number of processors being offered for vision applications. Selecting the best processor (whether a chip for use in a system design, or an IP core for use in an SoC) is
September 24, 2014 | Write the first comment.
ARM's Cortex-A series of high-performance CPU cores garner significant attention by virtue of their use in high-volume, high-visibility smartphones, tablets, and other consumer electronics devices. But company's Cortex-M and Cortex-R processor families, which target embedded applications,
As embedded processors and applications become increasingly complex, good benchmarks are more important than ever. System designers need good benchmarks to judge whether a processor will meet the needs of their applications, and to make accurate comparisons among processors. Processor developers
June 18, 2014 | Write the first comment.
The April 2012 edition of InsideDSP covered Analog Devices' BF60x family , which as the then-published product roadmap indicated, was the successor to the high end of the BF5xx product range ( Figure 1 ). Figure 1. Analog Devices' new BF70x products fill the "single core