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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Kemper, P. |
| Copyright Year | 2002 |
| Description | Author affiliation: Informatik IV, Dortmund Univ., Germany (Kemper, P.) |
| Abstract | Multiprocessor architectures with few but powerful processors are gaining more and more popularity. We describe a parallel iterative algorithm to perform randomization for a continuous time Markov chain with a Kronecker representation on a shared memory architecture. The Kronecker representation is modified for a parallel matrix-vector multiplication with a fast multiplication scheme and no write conflicts on iteration vectors. The proposed technique is applied on a model of a workstation cluster for dependability analysis, corresponding computations are performed on two multiprocessor architectures, a Sun enterprise and a SGI Origin 2000 to measure its performance. |
| Sponsorship | IEEE Comput. Soc. Tech. Committee on Fault-Tolerant Comput. (TCFTC) IFIP Working Group 10.4 on Dependable Comput. & Fault Tolerence DARPA LAAS-CNRS Univ. Michigan |
| Starting Page | 657 |
| Ending Page | 666 |
| File Size | 397013 |
| Page Count | 10 |
| File Format | |
| ISBN | 0769511015 |
| DOI | 10.1109/DSN.2002.1029011 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2002-06-23 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Memory architecture Stochastic processes Numerical analysis State-space methods Sparse matrices Workstations Performance analysis Concurrent computing Steady-state Jacobian matrices |
| Content Type | Text |
| Resource Type | Article |
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