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» Co-Scheduling of Computation and Data on Computer Clusters
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CLOUD
2010
ACM
13 years 11 months ago
Comet: batched stream processing for data intensive distributed computing
Batched stream processing is a new distributed data processing paradigm that models recurring batch computations on incrementally bulk-appended data streams. The model is inspired...
Bingsheng He, Mao Yang, Zhenyu Guo, Rishan Chen, B...
CLUSTER
2000
IEEE
13 years 6 months ago
Data management for large-scale scientific computations in high performance distributed systems
With the increasing number of scientific applications manipulating huge amounts of data, effective high-level data management is an increasingly important problem. Unfortunately, ...
Alok N. Choudhary, Mahmut T. Kandemir, Jaechun No,...
VLUDS
2010
212views Visualization» more  VLUDS 2010»
13 years 1 months ago
Open Problems in Computational Steering of Massive Parallel Unstructured Grid Based CFD Simulations
Traditionally, analysis of flow fields resulting from computational fluid dynamics (CFD) calculations is a sequential process. The flow area defined by surrounding geometry is tes...
Christian Wagner
CAP
2010
13 years 1 months ago
Parallel disk-based computation for large, monolithic binary decision diagrams
Binary Decision Diagrams (BDDs) are widely used in formal verification. They are also widely known for consuming large amounts of memory. For larger problems, a BDD computation wi...
Daniel Kunkle, Vlad Slavici, Gene Cooperman
CLUSTER
2006
IEEE
14 years 24 days ago
Heterogeneous Parallel Computing in Remote Sensing Applications: Current Trends and Future Perspectives
Heterogeneous networks of computers have rapidly become a very promising commodity computing solution, expected to play a major role in the design of high performance computing sy...
Antonio J. Plaza