Software Development

Substantial industry investment in a particular application, both in terms of silicon devices and the software running on and interacting with them, is often a barometer of that application's transition toward mainstream adoption. This has definitely been the case recently for the practical
Sensory has built its business and made its name over the past 20 years in voice detection and speech recognition, as InsideDSP's April 2013 coverage of the company's TrulyHandsFree always-on voice activation algorithm showcased. However, as Gordon Haupt, the company's director of
As computer vision is deployed into a variety of new applications, driven by the emergence of powerful, low-cost, and energy-efficient processors, companies need to find ways to squeeze demanding vision processing algorithms into size-, weight-, power, and cost-constrained systems. Fortunately,
If you're a regular reader of this column, you know that I'm enthusiastic about the potential of "embedded vision" – the widespread, practical use of computer vision in embedded systems, mobile devices, PCs, and the cloud. Processors and sensors with sufficient performance
At NVIDIA's GTC (the yearly GPU Technology Conference) in March, the company trumpeted its intentions to broadly supply the embedded market with Tegra SoCs and associated hardware and software development tools. As a specific example of this overarching strategy, NVIDIA unveiled a small form
Back in October 2011 , InsideDSP covered both recently introduced and pending CPU-plus-GPU products from AMD, along with the cores that they were based on. At the time, AMD referred to CPU-plus-GPU integration as "Fusion"; the company has subsequently renamed such products as APUs
By now, most people who work with processors—whether in data centers, PCs, mobile devices, or embedded systems—understand that parallel processing is the way to get both high compute performance and good energy efficiency for most applications. And most of these people also realize that
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
As applications become more complex, and processors become more powerful, system developers increasingly rely on off-the-shelf software components to enable rapid and efficient application development. This is particularly true in digital signal processing, where application developers expect to
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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