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» Optimizing for parallelism and data locality
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MIDDLEWARE
2007
Springer
15 years 11 months ago
New Worker-Centric Scheduling Strategies for Data-Intensive Grid Applications
Distributed computations, dealing with large amounts of data, are scheduled in Grid clusters today using either a task-centric mechanism, or a worker-centric mechanism. Because of ...
Steven Y. Ko, Ramsés Morales, Indranil Gupt...
PPOPP
2011
ACM
14 years 8 months ago
Compact data structure and scalable algorithms for the sparse grid technique
The sparse grid discretization technique enables a compressed representation of higher-dimensional functions. In its original form, it relies heavily on recursion and complex data...
Alin Florindor Murarasu, Josef Weidendorfer, Gerri...
ISHPC
2003
Springer
15 years 10 months ago
Code and Data Transformations for Improving Shared Cache Performance on SMT Processors
Simultaneous multithreaded processors use shared on-chip caches, which yield better cost-performance ratios. Sharing a cache between simultaneously executing threads causes excessi...
Dimitrios S. Nikolopoulos
ICDCS
2000
IEEE
15 years 9 months ago
Static and Adaptive Data Replication Algorithms for Fast Information Access in Large Distributed Systems
Creating replicas of frequently accessed objects across a read-intensive network can result in large bandwidth savings which, in turn, can lead to reduction in user response time....
Thanasis Loukopoulos, Ishfaq Ahmad
LCN
2005
IEEE
15 years 10 months ago
AntiWorm NPU-based Parallel Bloom Filters for TCP/IP Content Processing in Giga-Ethernet LAN
—TCP/IP protocol suite carries most application data in Internet. TCP flow retrieval has more security meanings than the IP packet payload. Hence, monitoring the TCP flow has mor...
Zhen Chen, Chuang Lin, Jia Ni, Dong-Hua Ruan, Bo Z...