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CCGRID
2010
IEEE
13 years 1 months ago
Dynamic Load-Balanced Multicast for Data-Intensive Applications on Clouds
Data-intensive parallel applications on clouds need to deploy large data sets from the cloud's storage facility to all compute nodes as fast as possible. Many multicast algori...
Tatsuhiro Chiba, Mathijs den Burger, Thilo Kielman...
HCW
2000
IEEE
13 years 8 months ago
Design of a Framework for Data-Intensive Wide-Area Applications
Applications that use collections of very large, distributed datasets have become an increasingly important part of science and engineering. With high performance wide-area networ...
Michael D. Beynon, Tahsin M. Kurç, Alan Sus...
CLUSTER
2011
IEEE
12 years 4 months ago
A Framework for Data-Intensive Computing with Cloud Bursting
—For many organizations, one attractive use of cloud resources can be through what is referred to as cloud bursting or the hybrid cloud. These refer to scenarios where an organiz...
Tekin Bicer, David Chiu, Gagan Agrawal
SAINT
2007
IEEE
13 years 10 months ago
Data Management on Grid Filesystem for Data-Intensive Computing
In parallel computing environments such as HPC clusters and the Grid, data-intensive applications involve large overhead costs due to a concentration of access to the files on co...
Hitoshi Sato, Satoshi Matsuoka
CLUSTER
2007
IEEE
13 years 8 months ago
Efficient asynchronous memory copy operations on multi-core systems and I/OAT
Bulk memory copies incur large overheads such as CPU stalling (i.e., no overlap of computation with memory copy operation), small register-size data movement, cache pollution, etc...
Karthikeyan Vaidyanathan, Lei Chai, Wei Huang, Dha...