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» Challenges in Parallel Graph Processing
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ICDM
2006
IEEE
147views Data Mining» more  ICDM 2006»
13 years 11 months ago
Adaptive Parallel Graph Mining for CMP Architectures
Mining graph data is an increasingly popular challenge, which has practical applications in many areas, including molecular substructure discovery, web link analysis, fraud detect...
Gregory Buehrer, Srinivasan Parthasarathy, Yen-Kua...
VLDB
2007
ACM
134views Database» more  VLDB 2007»
13 years 11 months ago
Challenges and Experience in Prototyping a Multi-Modal Stream Analytic and Monitoring Application on System S
In this paper, we describe the challenges of prototyping a reference application on System S, a distributed stream processing middleware under development at IBM Research. With a ...
Kun-Lung Wu, Philip S. Yu, Bugra Gedik, Kirsten Hi...
ICS
1989
Tsinghua U.
13 years 9 months ago
Control flow optimization for supercomputer scalar processing
Control intensive scalar programs pose a very different challenge to highly pipelined supercomputers than vectorizable numeric applications. Function call/return and branch instru...
Pohua P. Chang, Wen-mei W. Hwu
HIPC
2007
Springer
13 years 11 months ago
Accelerating Large Graph Algorithms on the GPU Using CUDA
Abstract. Large graphs involving millions of vertices are common in many practical applications and are challenging to process. Practical-time implementations using high-end comput...
Pawan Harish, P. J. Narayanan
SPRINGSIM
2008
13 years 7 months ago
Data parallel execution challenges and runtime performance of agent simulations on GPUs
Programmable graphics processing units (GPUs) have emerged as excellent computational platforms for certain general-purpose applications. The data parallel execution capabilities ...
Kalyan S. Perumalla, Brandon G. Aaby