Using utilization profiles in allocation and partitioning for multiproscessor systems

Update Item Information
Publication Type technical report
School or College College of Engineering
Department Computing, School of
Program Advanced Research Projects Agency
Creator Evans, John; Kessler, Robert R.
Title Using utilization profiles in allocation and partitioning for multiproscessor systems
Date 1992
Description The problems of multiprocessor partitioning and program allocation are interdependent and critical to the performance of multiprocessor systems?? Minimizing resource partitions for parallel programs on partitionable multiprocessors facilitates greater processor utilization and throughput?? The pro cessing resource requirements of parallel programs vary during program execution and are allocation dependent?? Optimal resource utilization requires that resource requirements be modeled as variable over time?? This paper investigates the use of program pro les in allocating programs and parti tioning multiprocessor systems?? An allocation method is discussed?? The goals of this method are to minimize program execution time minimize the total number of processors used characterize variation in processor requirements over the lifetime of a program to accurately predict the impact on run time of the number of processors available at any point in time and to minimize uctuations in processor requirements to facilitate e cient sharing of processors between partitions on a partitionable multiprocessor?? An application to program partitioning is discussed that improves partition run times compared to other methods??
Type Text
Publisher University of Utah
Subject utilization profiles; multiprocessor partitioning; program allocation
Subject LCSH Multiprocessors
Language eng
Bibliographic Citation Evans, J., & Kessler, R. R. (1992). Using utilization profiles in allocation and partitioning for multiproscessor systems. UUCS-92-037.
Series University of Utah Computer Science Technical Report
Relation is Part of ARPANET
Rights Management ©University of Utah
Format Medium application/pdf
Format Extent 331,069 bytes
Source University of Utah School of Computing
ARK ark:/87278/s6qc0n6c
Setname ir_uspace
ID 707465
Reference URL https://collections.lib.utah.edu/ark:/87278/s6qc0n6c
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