Evaluating and Optimizing Kernels on OpenCL FPGA Platform for Energy-efficient High-performance Computing

Event Sponsor: 
Argonne Leadership Computing Facility Seminar
Start Date: 
May 18 2018 - 11:00am
Building/Room: 
Building 240/Room 4301
Location: 
Argonne National Laboratory
Speaker(s): 
Zheming Jin
Speaker(s) Title: 
Postdoctoral Associate, LCF
Host: 
Scott Parker

Compared to central processing units (CPUs) and graphics processing units (GPUs) which have fixed architectures, field-programmable gate arrays (FPGAs) offer reconfigurability and promising performance and energy efficiency. With these FPGA-based heterogeneous computing systems, programming standards have emerged to facilitate transformation of algorithms from standard systems to heterogeneous systems. Open Computing Language (OpenCL) is a standard framework for writing programs that execute across various heterogeneous computing platforms. Investigating the characteristics of kernel applications with emerging OpenCL-to-FPGA development flows is important for researchers, who have little hardware development experience, to evaluate and adopt the FPGA-based heterogeneous programming model in a laboratory. In this seminar, I will briefly introduce FPGAs, OpenCL, and OpenCL-to-FPGA development flows. Then I will show the evaluations and optimizations of OpenCL kernels on an Arria10-based OpenCL FPGA platform. The kernels are derived from the streaming, integer and floating-point intensive, and proxy applications. The experimental results show that FPGAs are promising heterogeneous computing components for energy-efficient high-performance computing.

Miscellaneous Information: 

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