By Dror G. Feitelson
This ebook constitutes the strictly refereed post-workshop lawsuits of the 1997 IPPS Workshop on activity Scheduling ideas for Parallel Processing held in Geneva, Switzerland, in April 1997, as a satelite assembly of the IEEE/CS overseas Parallel Processing Symposium.
The 12 revised complete papers awarded have been rigorously reviewed and revised for inclusion within the e-book. additionally incorporated is a close creation surveying the cutting-edge within the quarter. one of the issues coated are processor allocation, parallel scheduling, vastly parallel processing, shared-memory architectures, gang scheduling, etc.
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Extra info for Job Scheduling Strategies for Parallel Processing: IPPS '97 Processing Workshop Geneva, Switzerland, April 5, 1997 Proceedings
The other is incorporation of memory requirements into workload models used to drive simulations or as inputs to analytical evaluations. For example, a model of how memory requirements change with the degree of parallelism facilitates the evaluation of scheduling policies for different machine configurations. 1 T i m e Slicing a n d M e m o r y P r e s s u r e Previous work about incorporating memory considerations into scheduling algorithms has been quite limited, and included ideas such as the following: - In systems that use space slicing, place a lower bound on partition size so that enough memory will be available [16,17,13].
Measurement ~4 Modeling of Comput. , pp. 5-18, May 1994. 17. S. K. Setia, "The interaction between memory allocation and adaptive partitioning in message-passing multicomputers". In Job Scheduling Strategies for Parallel Processing, D. G. Feitelson and L. ), pp. 146-165, Springer-Verlag, 1995. Lecture Notes in Computer Science Vol. 949. 18. 3. P. Singh, J. L. Hennessy, and A. Gupta, "Sealing parallel programs for multiprocessors: methodology and examples". Computer 26(7), pp. 42-50, Jul 1993. 19.
It also means that when users actually need to provide low memory estimates in order to run (as is the case 88 on shared nodes) they sometimes make very accurate estimates, and sometimes they lie... 5 C o r r e l a t i o n of M e m o r y Usage a n d R u n t i m e Finally, we investigate the possible correlation between memory usage and runtime. The scatter plot on the left of Fig. 8 shows all pairs of runtime and total memory usage. The most striking features of this plot are the well-defined band of memory usage values, the horizontal stripes that indicate preferred memory usage values, and the sharp limits on runtime at the right-end side (probably due to NQS queue limits).