A collection-oriented programming model for performance portability

Proceedings of the ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, PPOPP

Volumn 2015-January, Issue , 2015, Pages 263-264

  Muralidharan, Saurav ^a   Garland, Michael ^b   Catanzaro, Bryan ^c   Sidelnik, Albert ^b   Hall, Mary ^a  

^a UNIVERSITY OF UTAH   (United States)

^b NVIDIA   (United States)

^c BAIDU INC   (China)

Author keywords

Nested data parallelism; Performance portability

Indexed keywords

APPLICATION PROGRAMMING INTERFACES (API); ARCHITECTURE; ARTIFICIAL INTELLIGENCE; BENCHMARKING; CODES (SYMBOLS); LEARNING SYSTEMS; LINEAR ALGEBRA; PARALLEL ARCHITECTURES; PARALLEL PROGRAMMING; PROGRAM PROCESSORS;

CODE GENERATION; COLLECTION-ORIENTED PROGRAMMING; CORE COMPUTATION; DATA COLLECTION; MULTI-CORE CPUS; NESTED DATA PARALLELISMS; PARALLEL COMPUTATION; PERFORMANCE PORTABILITY;

C++ (PROGRAMMING LANGUAGE);

EID: 84939147992     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2688500.2688537     Document Type: Conference Paper

References (3)

1. N. Bell and M. Garland. Implementing sparse matrix-vector multiplication on throughput-oriented processors. In SC '09: Proc. Conference on High Performance Computing Networking, Storage and Analysis, Nov. 2009.
2. G. Blelloch. Nesl: A nested data-parallel language. Technical report, Carnegie Mellon University, 1992.
3. B. Catanzaro, M. Garland, and K. Keutzer. Copperhead: Compiling an embedded data parallel language. In Proceedings of the 16th ACM Symposium on Principles and Practice of Parallel Programming, PPoPP '11, pages 47-56. ACM, 2011.