- Microchip 32-bit Microcontrollers Gain High-Precision Floating Point Capabilities
- Freescale Buys CogniVue: The BDTI Interview
- Jeff Bier’s Impulse Response—Why Do Embedded Processor Software Development Tools Suck? It’s the Unknown Knowns
- Case Study: BDTI's Expert, Independent Analysis Enables Optimum Vision Processor Selection
- Texas Instruments Sitara SoCs Integrate Diverse Processing Resources
November 16, 2015 | 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
October 21, 2015 | Write the first comment.
As Jeff Bier has mentioned in several of his recent columns, deep learning algorithms have gained prominence in computer vision and other fields where there's a need to extract insights from ambiguous data. Convolutional neural networks (CNNs) – massively parallel algorithms made up of
Qualcomm has been evolving its in-house DSP core for many years. Originally developed for use in Qualcomm’s cellular modems, more recently it has also found use as an application co-processor, offloading multimedia tasks from the CPU in smart phones and tablets. Earlier InsideDSP articles
In May 2014 , Synopsys expanded its ARC EM licensable processor core product line, which BDTI described as historically being "vanilla" Harvard architecture CPUs with no DSP-optimized features, via the addition of the digital signal processing pipeline-equipped EM5D and EM7D
September 29, 2015 | Write the first comment.
Today's smartphones are technological marvels that deliver an extraordinary range of capabilities from GPS-based navigation to sophisticated photography. But sometimes we just want to make a phone call. And particularly when we're on the move, who hasn't struggled to hear the other
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.
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
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
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
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,