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Volumn 45, Issue 6, 2010, Pages 86-97

A GPGPU compiler for memory optimization and parallelism management

Author keywords

Compiler; GPGPU

Indexed keywords

ALGORITHM REFINEMENT; COMPILER; DATA REUSE; GENERAL PURPOSE; GPGPU; GRAPHICS PROCESSING UNIT; KERNEL FUNCTION; MEDIA-PROCESSING ALGORITHMS; MEMORY ACCESS PATTERNS; MEMORY BANDWIDTHS; MEMORY HIERARCHY; MEMORY OPTIMIZATION; OPTIMIZATION PROCESS; OPTIMIZING COMPILERS; PERFORMANCE ANALYSIS; PERFORMANCE OPTIMIZATIONS; REMAPPING; UNDERSTANDABILITY; VECTORIZATION;

EID: 77957600490     PISSN: 15232867     EISSN: None     Source Type: Journal    
DOI: 10.1145/1809028.1806606     Document Type: Conference Paper
Times cited : (54)

References (20)
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    • Cooley, J.1    Tukey, J.W.2
  • 7
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    • An analytical model for GPU architecture with memory-level and thread-level parallelism awareness
    • S. Hong and H. Kim. An analytical model for GPU architecture with memory-level and thread-level parallelism awareness. In Proc. International Symposium on Computer Architecture, 2009.
    • (2009) Proc. International Symposium on Computer Architecture
    • Hong, S.1    Kim, H.2
  • 12
  • 18
    • 67349149521 scopus 로고    scopus 로고
    • Benchmarking GPUs to tune dense linear algebra
    • V. Volkov and J.W. Demmel. Benchmarking GPUs to tune dense linear algebra. In Proc. Supercomputing, 2008.
    • (2008) Proc. Supercomputing
    • Volkov, V.1    Demmel, J.W.2
  • 19
    • 77957557473 scopus 로고    scopus 로고
    • NVIDIA CUDA Programming Guide, Version 2.1
    • NVIDIA CUDA Programming Guide, Version 2.1, 2008
    • (2008)
  • 20
    • 77957551580 scopus 로고    scopus 로고
    • http://code.google.com/p/gpgpucompiler/


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.