An experimental approach to performance measurement of heterogeneous parallel applications using CUDA

Proceedings of the International Conference on Supercomputing

Volumn , Issue , 2010, Pages 127-136

  Malony, Allen D ^a   Biersdorff, Scott ^a   Spear, Wyatt ^a   Mayanglambam, Shangkar ^b  

^a UNIVERSITY OF OREGON   (United States)

^b QUALCOMM INC   (United States)

Author keywords

GPGPU; performance tools; profiling; tracing

Indexed keywords

APPLICATION DEVELOPERS; EXECUTABLE CODES; EXPERIMENTAL APPROACHES; GPU COMPUTING; HETEROGENEOUS PARALLEL SYSTEMS; LINPACK BENCHMARK; PARALLEL APPLICATION; PARALLEL EXECUTIONS; PARALLEL PERFORMANCE; PARALLEL PROGRAM; PERFORMANCE MEASUREMENTS; PERFORMANCE TOOLS; RUNTIMES;

EMBEDDED SYSTEMS; INTELLIGENT CONTROL; MOLECULAR DYNAMICS; PROGRAM PROCESSORS;

BENCHMARKING;

EID: 77954752412     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1810085.1810105     Document Type: Conference Paper

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