Performance Modeling of Multiprocessor Systems With Paging

The rapid advancement in semiconductor technology continues to change the environment in which computers are designed. As hardware costs decline, systems with multiple processors become an interesting alternative to conventional single processor systems. An analytic model has been developed to describe the performance of a wide range of multiprocessor system configurations and workloads. This model deals specifically with P tightly-coupled, identical processors with shared primary and secondary memory. Secondary memory consists of a paging drum with S sectors. The workload consists of J independent, identically-distributed jobs whose faulting or I/O behavior is described by both a mean ((lamda) faults/sector-time) and a squared coefficient of variation (K). In addition, the processing overhead for each I/O request is added to a job's execution time at a processor (C sector-times/fault).

Name thesis:degree_name

Ph.D.

Level thesis:degree_level

Dissertation

Discipline thesis:degree_discipline

Electrical Engineering

Grantor

University of Illinois at Urbana-Champaign

Year dc:date

2014

Author dc:creator

• Gant, Alan Dale

• Computer Science
• Engineering, Electronics and Electrical

Language dc:language

eng

Identifier

(UMI)AAI8108511

OAI identifier oai:identifier

oai:www.ideals.illinois.edu:2142/66238