Build & maintain complex distributed systems
October 1–2, 2017: Training
October 2–4, 2017: Tutorials & Conference
New York, NY

FPGA-accelerated data analytics (sponsored by Intel)

Mike Strickland (Intel Corporation)
2:25pm3:05pm Tuesday, October 3, 2017
Location: Murray Hill East B

Prerequisite knowledge

  • A high-level understanding of data store approaches (SQL/relational/structured, NoSQL/semistructured, Hadoop/Spark/unstructured), networking, data access, compression, data streaming, machine learning, key value stores, and benchmarking


Microsoft has widely deployed field-programmable gate arrays (FPGAs) for accelerating search, networking, and machine learning—with a little help from the company’s software expertise and its FPGA programmers. Mike Strickland explains how a single FPGA can deliver significant acceleration for multiple workloads. This new approach of integrating data analytics frameworks and existing databases enables enterprise customers to run unmodified applications without requiring any FPGA expertise and can be used with unstructured, NoSQL, and traditional relational databases, such as Swarm64’s approach.

This session is sponsored by Intel.

Photo of Mike Strickland

Mike Strickland

Intel Corporation

Mike Strickland leads the FPGA high-performance computing vision within Intel’s Programmable Solutions Group. Mike has more than 20 years of computer, networking, and storage experience with companies such as Hewlett-Packard, Silverback Systems, and Altera (acquired by Intel). Previously, Mike led the development and launch of products in the networking, storage management, TCP/IP offload, and iSCSI spaces. He holds a BS in electrical engineering from Brown University and an MS in management from the Sloan School of Management at MIT.