Sciweavers

APSEC
1995
IEEE
13 years 8 months ago
An Efficient Debugging Method for Message-based Parallel Programs using Static Analysis Information
Guaranteeiq reproducibility and minimizing probe effects are major issues in the parallel program debugging. This paper suggests a new debugging method, named Detect and Reproduce...
Hyun Seop Bae, Yong Rae Kwon, Hyeon Soo Kim
ISHPC
2000
Springer
13 years 8 months ago
Automatic Generation of OpenMP Directives and Its Application to Computational Fluid Dynamics Codes
The shared-memory programming model is a very effective way to achieve parallelism on shared memory parallel computers. As great progress was made in hardware and software technolo...
Haoqiang Jin, Michael A. Frumkin, Jerry C. Yan
AOSD
2007
ACM
13 years 8 months ago
Generating parallel applications for distributed memory systems using aspects, components, and patterns
Developing and debugging parallel programs particularly for distributed memory architectures is still a difficult task. The most popular approach to developing parallel programs f...
Purushotham V. Bangalore
ISCA
1993
IEEE
125views Hardware» more  ISCA 1993»
13 years 8 months ago
Evaluation of Mechanisms for Fine-Grained Parallel Programs in the J-Machine and the CM-5
er uses an abstract machine approach to compare the mechanisms of two parallel machines: the J-Machine and the CM-5. High-level parallel programs are translated by a single optimi...
Ellen Spertus, Seth Copen Goldstein, Klaus E. Scha...
HPCN
1997
Springer
13 years 8 months ago
Performance Evaluation of HPCN Applications
The performance attained by parallel programs executed on multiprocessor systems is largely in uenced both by the characteristics of the code and by those of the system architectu...
Alessandro P. Merlo
IPPS
1998
IEEE
13 years 8 months ago
Predicting the Running Times of Parallel Programs by Simulation
Predicting the running time of a parallel program is useful for determining the optimal values for the parameters of the implementation and the optimal mapping of data on processo...
Radu Rugina, Klaus E. Schauser
IPPS
1998
IEEE
13 years 8 months ago
DEEP: A Development Environment for Parallel Programs
The use of the DEEP development environment to analyze parallel program performance is described. The full integrated environment contains tools for the creation, analysis and deb...
Brian Q. Brode, Chris R. Warber
ICPP
1998
IEEE
13 years 8 months ago
Concurrent SSA Form in the Presence of Mutual Exclusion
Most current compiler analysis techniques are unable to cope with the semantics introduced by explicit parallel and synchronization constructs in parallel programs. In this paper ...
Diego Novillo, Ronald C. Unrau, Jonathan Schaeffer
IPPS
1999
IEEE
13 years 8 months ago
Visualization and Performance Prediction of Multithreaded Solaris Programs by Tracing Kernel Threads
Efficient performance tuning of parallel programs is often hard. We present a performance prediction and visualization tool called VPPB. Based on a monitored uni-processor executi...
Magnus Broberg, Lars Lundberg, Håkan Grahn
PARELEC
2002
IEEE
13 years 9 months ago
Parallel Program Development and Execution in the Grid
Integration of P-GRADE with Condor and parallel check-pointing results in an environment under which both interactive parallel program development and batch mode execution is poss...
Péter Kacsuk