Database analytics acceleration using FPGAs
Bharat Sukhwani, Hong Min, Mathew Thoennes, Parijat Dube, Balakrishna R. Iyer, Bernard Brezzo, Donna Eng Dillenberger, Sameh Asaad · 2012
Business growth and technology advancements have resulted in growing amounts of enterprise data. To gain valuable business insight and competitive advantage, businesses demand the capability of performing real-time analytics on such data. This, however, involves expensive query operations that are very time consuming on traditional CPUs. Additionally, in traditional database management systems (DBMS), the CPU resources are dedicated to mission-critical transactional workloads. Offloading expensive analytics query operations to a co-processor can allow efficient execution of analytics workloads in parallel with transactional workloads.