- Analog Devices' SHARC Doubles Up, Adds ARM Option
- CogniVue's "Opus" APEX Generation 3: Vision Processing With Implementation Flexibility
- Jeff Bier’s Impulse Response—What Does Semiconductor Industry Consolidation Mean for Embedded Systems Designers?
- Case Study: Independent Evaluation Enables a Development Kit to Hit a Home Run
- Cadence's Tensilica Fusion: DSP for the IoT
February 04, 2014 | Write the first comment.
Those of you familiar with Analog Devices' longstanding presence in the DSP market, via the company's Blackfin, SHARC and TigerSHARC product lines, can be forgiven for assuming that SigmaDSP is yet another family of general-purpose DSPs ( Figure 1 ). Figure 1. SigmaDSP is an
Smartphone application processor chips incorporate numerous processor cores, typically including multiple CPU cores, GPUs, DSPs, video processors, and image signal processors. Considering all the processing power available in these chips, why does Motorola's recently introduced Moto X
Tensilica's (Now Cadence's) Xtensa 10: Process Capabilities, Application Needs Drive Core Evolution Trends
Instruction set flexibility can go a long way toward extending the usable life of a processor architecture. Sooner or later, however, instruction set enhancements to an existing architecture foundation run out of steam, and a more fundamental evolution is necessary. This explains why Cadence Fellow
The title of the press release for CEVA's latest XC-4500 communications DSP core , introduced in mid-October, claims that it's the "World's First Vector Floating-Point DSP for Wireless Infrastructure Solutions." Those of you with good memories might be confused at this
October 22, 2013 | Write the first comment.
Embedded vision, the use of computer vision techniques to extract meaning from visual inputs in embedded systems, mobile devices, PCs and the cloud, is rapidly becoming a significant adopter of digital signal processing technology and techniques. This fact is likely already well known to those of
Imperfect Processing: A Functionally Feasible (and Fiscally Attractive) Option, Says Singular Computing
Conventional wisdom dictates that an arithmetic circuit that generates inexact results is faulty. But Joe Bates, founder and president of Singular Computing, thinks that conventional wisdom may be mistaken, at least for certain classes of applications. Bates, in his own words, has spent roughly
Altera's Next-Generation FPGAs: Advanced Process Lithographies Lead to Performance, Power Consumption Efficiencies
Intel is widely regarded as being not only the world's largest semiconductor supplier, but also a leading-edge manufacturing process developer and implementer. While foundries such as TSMC are still finalizing their 20 nm processes, for example, Intel has been shipping 22 nm-based production
It will likely be news to none of you that the smartphone and tablet market has been on a steep ramp in recent years, and is expected to continue its aggressive growth for the foreseeable future (Figure 1): Figure 1. ARM forecasts continued vigorous growth for smartphones and tablets over
Smartphones have become the most important application for high-performance, energy-efficient processors (see " ARM's 2015 Mid-Range Platform Prep: A 32-Bit Next-Step " in this month's edition of InsideDSP ). That's because smartphones are a huge and growing business, and
Toward the end of an article published in the February 2013 edition of InsideDSP , analyzing BDTI's published benchmark results of Qualcomm's QDSP6 (aka "Hexagon") v4 DSP core, you'll find the following prescient quote: Qualcomm is, of course, not done innovating with