Software Development

Algorithms are the essence of digital signal processing; they are the mathematical "recipes" that transform signals in useful ways. Companies developing new algorithms, or considering purchasing or licensing algorithms, often need to assess whether an algorithm will fit within their
For decades, multiprocessor systems were rare and most developers never had to think about how to program them. This began to change roughly a decade ago. In the spring of 2005, both AMD (Athlon 64 X2) and Intel ("Smithfield") unveiled x86 CPUs with dual processor cores on a single die.
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,
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,
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
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