Relational algorithms for multi-bulk-synchronous processors

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

Volumn , Issue , 2013, Pages 301-302

  Diamos, Gregory ^a   Wu, Haicheng ^b   Wang, Jin ^b   Lele, Ashwin ^b   Yalamanchili, Sudhakar ^b  

^a NVIDIA   (United States)

^b GEORGIA INSTITUTE OF TECHNOLOGY   (United States)

Author keywords

gpgpu; relational algebra

Indexed keywords

GPGPU; MEMORY SYSTEMS; MULTI-THREADING; PROCESSOR ARCHITECTURES; RELATIONAL ALGEBRA; RELATIONAL DATABASE; SINGLE-INSTRUCTION MULTIPLE-DATA; THROUGHPUT-OPTIMIZED;

ALGEBRA; COMPUTER PROGRAMMING LANGUAGES; DATA WAREHOUSES; PARALLEL PROGRAMMING; PROGRAM PROCESSORS;

COMPUTER ARCHITECTURE;

EID: 84875193084     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2442516.2442555     Document Type: Conference Paper

References (2)

1. H. Wu, G. Diamos, S. Cadambi, and S. Yalamanchili. Kernel weaver: Automatically fusing database primitives for efficient gpu computation. In Proceedings of the 45th Annual IEEE/ACM International Symposium on Microarchitecture, MICRO-45 '12, pages 107-118, 2012.
2. G. Diamos, H. Wu, A. Lele, J. Wang, and S. Yalamanchili. Efficient relational algebra algorithms and data structures for gpu. Technical Report GIT-CERCS-12-01, CERCS, Georgia Institute of Technology, 2012.