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ISPASS
2009
IEEE
14 years 4 months ago
Machine learning based online performance prediction for runtime parallelization and task scheduling
—With the emerging many-core paradigm, parallel programming must extend beyond its traditional realm of scientific applications. Converting existing sequential applications as w...
Jiangtian Li, Xiaosong Ma, Karan Singh, Martin Sch...
IPPS
1997
IEEE
14 years 1 months ago
DPF: A Data Parallel Fortran Benchmark Suite
We present the Data Parallel Fortran (DPF) benchmark suite, a set of data parallel Fortran codes forevaluatingdata parallel compilers appropriatefor any target parallel architectu...
Y. Charlie Hu, S. Lennart Johnsson, Dimitris Kehag...
IPPS
2006
IEEE
14 years 3 months ago
Parallelization of module network structure learning and performance tuning on SMP
As an extension of Bayesian network, module network is an appropriate model for inferring causal network of a mass of variables from insufficient evidences. However learning such ...
Hongshan Jiang, Chunrong Lai, Wenguang Chen, Yuron...
ICDCS
1995
IEEE
14 years 23 days ago
Parallel Processing on Networks of Workstations: A Fault-Tolerant, High Performance Approach
One of the mostsoughtaftersoftware innovation of thisdecade is the construction of systems using off-the-shelf workstations that actually deliver, and even surpass, the power and ...
Partha Dasgupta, Zvi M. Kedem, Michael O. Rabin
ICPP
1995
IEEE
14 years 23 days ago
Progress: A Toolkit for Interactive Program Steering
Interactive program steering permits researchers to monitor and guide their applications during runtime. Interactive steering can help make end users more effective in addressing ...
Jeffrey S. Vetter, Karsten Schwan