Skip to main content
OSTI.GOVU.S. Department of Energy Office of Scientific and Technical Information
U.S. Department of Energy
Office of Scientific and Technical Information
 

Optimization with the OpenACC-to-FPGA framework on the Arria 10 and Stratix 10 FPGAs

Journal Article · · Parallel Computing
 [1];  [2];  [2];  [1]
  1. Univ. of Oregon, Eugene, OR (United States)
  2. Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
+ Show Author Affiliations
The reconfigurable computing paradigm with field programmable gate arrays (FPGAs) has received renewed interest in the high-performance computing field due to FPGAs’ unique combination of performance and energy efficiency. However, difficulties in programming and optimizing FPGAs have prevented them from being widely accepted as general-purpose computing devices. In accelerator-based heterogeneous computing, portability across diverse heterogeneous devices is also an important issue, but the unique architectural features in FPGAs make this difficult to achieve. To address these issues, a directive-based, high-level FPGA programming and optimization framework was previously developed. In this work, developed optimizations were combined holistically using the directive-based approach to show that each individual benchmark requires a unique set of optimizations to maximize performance. We perform this exploration on Intel Arria 10 and Stratix 10 FPGAs. We also explored the relationships between performance, resource usages, and compilation times, and investigated implications for performance portability. Finally, we present an initial evaluation of a real-world proxy application, LULESH.
Research Organization:
Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)
Sponsoring Organization:
USDOE Office of Science (SC), Advanced Scientific Computing Research (ASCR)
Grant/Contract Number:
AC05-00OR22725
OSTI ID:
1807204
Alternate ID(s):
OSTI ID: 1894388
Journal Information:
Parallel Computing, Journal Name: Parallel Computing Journal Issue: 0 Vol. 104-105; ISSN 0167-8191
Publisher:
ElsevierCopyright Statement
Country of Publication:
United States
Language:
English

References (5)

Rodinia: A benchmark suite for heterogeneous computing conference October 2009
Aspen: A domain specific language for performance modeling
  • Spafford, Kyle L.; Vetter, Jeffrey S.
  • 2012 SC - International Conference for High Performance Computing, Networking, Storage and Analysis, 2012 International Conference for High Performance Computing, Networking, Storage and Analysis https://doi.org/10.1109/SC.2012.20
conference November 2012
OmpSs: A PROPOSAL FOR PROGRAMMING HETEROGENEOUS MULTI-CORE ARCHITECTURES journal June 2011
Stateful dataflow multigraphs: a data-centric model for performance portability on heterogeneous architectures
  • Ben-Nun, Tal; de Fine Licht, Johannes; Ziogas, Alexandros N.
  • SC '19: The International Conference for High Performance Computing, Networking, Storage, and Analysis, Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis https://doi.org/10.1145/3295500.3356173
conference November 2019
Design and Preliminary Evaluation of OpenACC Compiler for FPGA with OpenCL and Stream Processing DSL
  • Watanabe, Yutaka; Lee, Jinpil; Sano, Kentaro
  • HPCAsia2020: Workshops of HPCAsia, Proceedings of the International Conference on High Performance Computing in Asia-Pacific Region Workshops https://doi.org/10.1145/3373271.3373274
conference January 2020

Similar Records

In-Depth Optimization with the OpenACC-to-FPGA Framework on an Arria 10 FPGA
Conference · Fri May 01 00:00:00 EDT 2020 · OSTI ID:1671395
Evaluation of CHO Benchmarks on the Arria 10 FPGA using Intel FPGA SDK for OpenCL
Technical Report · Tue May 23 00:00:00 EDT 2017 · OSTI ID:1372106
OpenACC to FPGA: A Framework for Directive-based High-Performance Reconfigurable Computing
Conference · Sun May 01 00:00:00 EDT 2016 · OSTI ID:1261388

Related Subjects

97 MATHEMATICS AND COMPUTING
Compiler optimization
Directive-based programming
FPGA
OpenACC
OpenARC