Ling Liu's SC13 paper "Large Graph Processing Without the Overhead" featured by HPCwire.
Another list highlighting Open Source Software Releases.
Second GraphLab workshop should be even bigger than the first! GraphLab is a new programming framework for graph-style data analytics.
Relational Algorithms for Multi-Bulk-Synchronous
18th Symposium on Principles and Practice of Parallel Programming (PPoPP'13), February 2013.
G. Diamos*, H. Wu, J. Wang, A. Lele, S. Yalamanchili
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