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CCGRID
2009
IEEE
13 years 11 months ago
Performance Issues in Parallelizing Data-Intensive Applications on a Multi-core Cluster
The deluge of available data for analysis demands the need to scale the performance of data mining implementations. With the current architectural trends, one of the major challen...
Vignesh T. Ravi, Gagan Agrawal
CCGRID
2010
IEEE
13 years 2 months ago
File-Access Characteristics of Data-Intensive Workflow Applications
This paper studies five real-world data intensive workflow applications in the fields of natural language processing, astronomy image analysis, and web data analysis. Data intensiv...
Takeshi Shibata, SungJun Choi, Kenjiro Taura
ICCAD
2003
IEEE
136views Hardware» more  ICCAD 2003»
14 years 1 months ago
Synthesis of Heterogeneous Distributed Architectures for Memory-Intensive Applications
— Memory-intensive applications present unique challenges to an ASIC designer in terms of the choice of memory organization, memory size requirements, bandwidth and access latenc...
Chao Huang, Srivaths Ravi, Anand Raghunathan, Nira...
ICPPW
2003
IEEE
13 years 10 months ago
A Dynamic Load Balancing Scheme for I/O-Intensive Applications in Distributed Systems
In this paper, a new I/O-aware load-balancing scheme is presented to improve overall performance of a distributed system with a general and practical workload including I/O activi...
Xiao Qin, Hong Jiang, Yifeng Zhu, David R. Swanson
IPPS
2005
IEEE
13 years 10 months ago
Reducing Power with Performance Constraints for Parallel Sparse Applications
Sparse and irregular computations constitute a large fraction of applications in the data-intensive scientific domain. While every effort is made to balance the computational wor...
Guangyu Chen, Konrad Malkowski, Mahmut T. Kandemir...