GPU Parallel Computing: the Next Paradigm

Highly parallel processors such as the modern GPUs are providing the same general-purpose computation capabilities to run business-critical applications at only 1/20th the power and 1/10th the cost.

In addition, development environments for the GPUs (CUDA and OpenCL) are based on the C/C++ development environment.  This allows GPUs’ computational capabilities to be easily accessed by those seeking acceleration solutions for compute-intensive applications.

The increased capabilities, flexibility, and accessibility of GPUs are causing a shift in the fundamental building blocks of computing, and fueling new opportunities for organizations to:

      • Meet or exceed SLAs
      • Reduce operational costs and postpone capital expenses
      • Open doors for new revenue-generating offers

Parasians is embracing technological advances in the GPUs while working to optimize application performance on both manycore GPUs and multicore CPUs.
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