Imperial College London > Talks@ee.imperial > CAS Talks > Greener Search: FPGA Acceleration of Real-time Unstructured Search

Greener Search: FPGA Acceleration of Real-time Unstructured Search

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Emerging data-centric workloads that manage and harvest useful insights from large amounts of unstructured data require corresponding new data-centric system architecture optimizations. In particular, with the growing importance of power and cooling costs, a key challenge for such future designs is to achieve increased performance at high energy efficiency. At the same time, recent trends towards better support for reconfigurable logic enable the use of energy-efficient accelerators. Combining these trends, in this paper, we examine the applicability of acceleration in future data-centric system architectures. We focus on an important class of data-centric workloads, real-time unstructured search, where large collections of documents are scored against specific topic profiles, and present an FPGA -based implementation to accelerate such workloads. Our implementation, based on the GiDEL PROC Star IV board using Altera Stratix IV FPG As, demonstrates excellent performance and energy efficiency, significantly better than baseline server systems. Our results also highlight interesting insights for the design of accelerators in future data-centric systems.

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