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 |