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Sundance DSP Suports Texas Instruments' ARM Based DSPs
2012-07-06

Sundance DSP, a worldwide supplier and manufacturer of advanced digital signal processing and reconfigurable computing platforms, advanced IP cores, libraries and tools, has confirmed the availability of its software libraries for multicore and single core digital signal processors (DSPs) from Texas Instruments Incorporated (TI).

This family of products provides software developers with a comprehensive set of optimized functions that speed development and reduce costs. It eliminates the need to recreate standard functions over and over again and streamline quality control. This software is Commercial-Off-The-Shelf (COTS) and plays well into the Department of Defense's (DoD) policy of procuring COTS components.

The current version of the software supports TI portfolio including Sitara ARM Cortex-A8 with floating-point coprocessor (AM389x, AM387x, AM35x), OMAP-L13x DSP + ARM9 processors and the DaVinci TMS320DM816x and DM814x generation of video processors.

The assembler optimized software libraries for digital signal and image processing and advanced mathematics can be linked and run on any of TI's C66x/C67x+ DSP cores or on the ARM Cortex-A8 CPU with floating-point co-processor. These hand-tuned libraries provide the highest possible performance on the C674x DSP generation taking full advantage of its powerful, integer and floating-point processing capabilities. Each function has been optimized at the algorithm level to run in the shortest number of cycles for the best possible performance, the company said.

The libraries are targeted at digital signal processing and mathematical programming tasks in the industrial, military, intelligence and commercial markets. They are ideal for software designers who work with advanced mathematical problems such as solutions to linear equations. The libraries provide ready-to-use modules to solve more than 300 different mathematical tasks and problems, including transforms and convolutions, statistics, numerical analysis, matrix and vector operations.

 

 
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