| D. Nikolopoulos, E. Polychronopoulos and T. Papatheodorou. Enhancing the Performance of Autoscheduling on Distributed Shared Memory Multiprocessors. Proc. of the 4th International EuroPar Conference, pp. 491--501, Southampton (England), 1998. |
....stream parallel computations relative to the single input data task happen to be performed onto the same PE. This allows communication overheads to be minimized. Instructions deriving from data parallel map skeletons are scheduled to task pools by exploiting techniques derived from autoscheduling [11] in such a way that load balancing and communication optimization is achieved. Last but not least, in our system we do not store in the task pools the complete data ow graph relative to the computation of any input data task (i.e. we do not store graphs such as the one of Figure 1, with reable ....
D. S. Nikolopoulos, E. D. Polychronopoulos, and T. S. Papatheodorou. Enhancing the Performance of Autoscheduling in Distributed Shared Memory Multiprocessors. In D. Pritchard and J. Reeve, editors, Proceedings of Europar '98. Springer Verlag, 1998. LNCS No. 1470.
....hits against the memory latency wall. This observation motivated intensive research work on providing sophisticated runtime and operating system support for improving the memory performance of parallel applications on DSM systems. The reader is referred to related publications of the authors [9, 10, 11, 12, 13, 14, 15] for more elaborate discussions and analyses of the issues outlined in this paper. Sections 2 through 5 provide a brief overview of this work and Section 6 reports on lessons learned and some planned future work. 2. Memory Management for Lightweight Multithreading Multithreading a shared memory ....
D. Nikolopoulos, E. Polychronopoulos and T. Papatheodorou. Enhancing the Performance of Autoscheduling on Distributed Shared Memory Multiprocessors. Proc. of the 4th International EuroPar Conference, pp. 491--501, Southampton (England), 1998.
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