FPGA Acceleration in HPC: A Case Study in Financial Analytics

Applications that push the limits of computer technology come from a variety of fields, including financial analytics, data mining, medical imaging, and scientific computation, each with widely diverse program requirements. What these high-performance computing applications all have in common, however, is a critical need for the fastest possible speeds of program execution.

The last few years have seen a move towards cluster computing as an answer to rising performance demands. Now, however, cluster systems based solely on conventional processors are running out of room to grow. Adding field-programmable gate array (FPGA) coprocessors to these systems can boost application performance while simultaneously reducing power consumption and the total cost of ownership.

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