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ISTC-CC Abstract
Relational Algorithms for Multi-Bulk-Synchronous
Processors
18th Symposium on Principles and Practice of Parallel Programming (PPoPP'13), February 2013.
G. Diamos*, H. Wu, J. Wang, A. Lele, S. Yalamanchili
*NVIDIA Research
Georgia Institute of Technology
Relational databases remain an important application infrastructure for organizing and analyzing massive volumes of data. At the same time, processor architectures are increasingly gravitating towards Multi-Bulk-Synchronous processor (Multi-BSP) architectures employing throughput-optimized memory systems, lightweight multithreading, and Single-Instruction Multiple-Data (SIMD) core organizations. This paper explores the mapping of primitive relational algebra operations onto such architectures to improve the throughput of data warehousing applications built on relational databases.
KEYWORDS: Relational Algebra, GPGPU
FULL PAPER: pdf