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AVERAGE-CASE ANALYSIS OF ISOSPEED SCALABILITY OF PARALLEL COMPUTATIONS ON MULTIPROCESSORS
2000
International journal of high speed computing
We investigate the average-case speed and scalability of parallel algorithms executing on multiprocessors. Our performance metrics are average-speed and isospeed scalability. ...
By modeling parallel algorithms on multiprocessors using task precedence graphs, we are mainly interested in the effects of synchronization overhead and load imbalance on the performance of parallel computations ...
The framework of our analysis of the average-case performance of parallel computations is as follows. ...
doi:10.1142/s0129053300000072
fatcat:6xvzsrsw7fdarktyykidsobhey
Average-case analysis of isospeed scalability of parallel computations on multiprocessors
Proceedings 13th International Parallel Processing Symposium and 10th Symposium on Parallel and Distributed Processing. IPPS/SPDP 1999
We investigate the average-case speed and scalability of parallel algorithms executing on multiprocessors. Our performance metrics are average-speed and isospeed scalability. ...
By modeling parallel algorithms on multiprocessors using task precedence graphs, we are mainly interested in the effects of synchronization overhead and load imbalance on the performance of parallel computations ...
The framework of our analysis of the average-case performance of parallel computations is as follows. ...
doi:10.1109/ipps.1999.760444
dblp:conf/ipps/LiS99
fatcat:yrat6nn2ufaw3eek72lxfvxk44
Software support for multiprocessor latency measurement and evaluation
1997
IEEE Transactions on Software Engineering
Parallel computing scalability evaluates the extent to which parallel programs and architectures can effectively utilize increasing numbers of processors. ...
In this paper, we compare a group of existing scalability metrics and evaluation models with an experimental metric which uses network latency to measure and evaluate the scalability of parallel programs ...
Part of the experiments were conducted on the KSR-1 machines at Cornell University and at the University of Washington. ...
doi:10.1109/32.581326
fatcat:s7ix6hur45gutjhnz276oof3wm
Integrated range comparison for data-parallel compilation systems
1999
IEEE Transactions on Parallel and Distributed Systems
problem sizes via scalability and performance crossing point analysis. ...
AbstractÐA major difficulty in restructuring compilation, and in parallel programming in general, is how to compare parallel performance over a range of system and problem sizes. ...
His research focuses on software tools for parallel programs and multiprocessor architectures, in particular, parallelizing compilers, symbolic program, and performance analysis. ...
doi:10.1109/71.770134
fatcat:bsn66o3jfbaavntbxcrpumsz3a
Application and accuracy of the parallel diagonal dominant algorithm
1995
Parallel Computing
The Parallel Diagonal Dominant (PDD) algorithm is a highly efficient, ideally scalable tridiagonal solver. In this paper, a detailed study of the PDD algorithm is given. ...
Implementation results show that the analysis gives a good bound on the relative error, and the algorithm is a good candidate for the emerging massively parallel machines. ...
The emerging parallel computers build on such microprocessors are noted for their scalable architecture and massively parallel processing. ...
doi:10.1016/0167-8191(95)00018-j
fatcat:uetdelwk4vcsphibgwmupyfxly
Workload modeling for parallel processing systems
MASCOTS '95. Proceedings of the Third International Workshop on Modeling, Analysis, and Simulation of Computer and Telecommunication Systems
The analysis itself can either focus on the evaluation of the whole SUT, or can be oriented towards the evaluation of a certain part or component of the system, which is then called component under study ...
For example, in modeling the execution time of a parallel program to be executed on a parallel system, the SUT would be both, the workload and the processing system, with the workload (i.e. the single ...
of input data (best case scenario) or trying to nd typical combinations (average case scenario). ...
doi:10.1109/mascot.1995.378717
dblp:conf/mascots/HaringK95
fatcat:sdv4ribsn5gu3iokz35ltyrrhy
Minimizing communication overhead for matrix inversion algorithms on hypercubes
Proceedings of 9th International Parallel Processing Symposium
Parallel Gauss-Jordan matrix inversion algorithms on the hypercube multiprocessors have been extensively studied in the literature. ...
Rigorous ana1yt:ical and numerical performance analysis of our parallel algorithms are presented as well. ...
Theorem. 10
The Isospeed Metric of Scalability In [30] the scalabilty of a parallel algorithm-machine combination is defined based on the isospeed metric. ...
doi:10.1109/ipps.1995.395969
dblp:conf/ipps/WangR95
fatcat:v3de6vaiejefrmoqvhhypd6foq