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CLUSTER
2003
IEEE
14 years 25 days ago
Run-Time Prediction of Parallel Applications on Shared Environments
Application run-time information is a fundamental component in application and job scheduling. However, accurate predictions of run times are difficult to achieve for parallel app...
Byoung-Dai Lee, Jennifer M. Schopf
HPDC
2010
IEEE
13 years 8 months ago
Data parallelism in bioinformatics workflows using Hydra
Large scale bioinformatics experiments are usually composed by a set of data flows generated by a chain of activities (programs or services) that may be modeled as scientific work...
Fábio Coutinho, Eduardo S. Ogasawara, Danie...
IPPS
2008
IEEE
14 years 1 months ago
Model-based fault localization in large-scale computing systems
We propose a new fault localization technique for software bugs in large-scale computing systems. Our technique always collects per-process function call traces of a target system...
Naoya Maruyama, Satoshi Matsuoka
PODC
2006
ACM
14 years 1 months ago
Grouped distributed queues: distributed queue, proportional share multiprocessor scheduling
We present Grouped Distributed Queues (GDQ), the first proportional share scheduler for multiprocessor systems that scales well with a large number of processors and processes. G...
Bogdan Caprita, Jason Nieh, Clifford Stein
ICPADS
1998
IEEE
13 years 11 months ago
Symbolic Partitioning and Scheduling of Parameterized Task Graphs
The DAG-based task graph model has been found effective in scheduling for performance prediction and optimization of parallel applications. However the scheduling complexity and s...
Michel Cosnard, Emmanuel Jeannot, Tao Yang