Paper Title: Adding FPGA-based Acceleration to Flash Memory for Real-Time Analytics

Paper Abstract: Ever larger datasets (big data) is leading to tremendous performance requirements for real-time analytics. Even PCI-connected flash memory simply isn't fast enough. One solution is to add an integrated FPGA-based accelerator between the host and the storage. It can move data and perform many basic operations in hardware, and offload much of the overhead from the PCIe connection. Experiments show that this approach increases overall performance by up to 10-25X for many database applications.

Paper Author: HK Verma, Principal Engineer, Xilinx

Author Bio: HK Verma is a Principal Engineer at Xilinx, where he is developing FPGA-based data center accelerator solutions. He has been working with leading hyperscale customers to integrate optimized FPGA acceleration into their database and storage solutions. He has pioneered successful accelerator adoption on existing RDBMS and NoSQL databases by working closely with partners to define future work. He was previously co-founder/VP at Velogix, a startup offering programmable compute silicon and software. He holds 35 issued US patents and has presented tutorials and papers at leading conferences. He holds an MSEE from University of California at Santa Barbara and a Bachelor of Technology in electrical engineering from IIT Madras.