NDLI: Performance measurement of parallel Ada: an applications based approach

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On the assessment of Ada performance

A rationale for the design and implementation of Ada benchmark programs

Taxonomy of benchmarks

The time problem

The space problem

Parallel and distributed issues

Performance measurement of parallel Ada: an applications based approach

Issues in optimizing Ada code

PIWG measurement methodology

Clock resolution and the PIWG benchmark suite

Recommendations and future trends

Ada Compiler Evaluation Capability (ACEC) data analysis: an overview

Hartstone: synthetic benchmark requirements for hard real-time applications

Results introduction

Ada versus FORTRAN performance analysis using the ACPS

PIWG test results

Reporting test results

PIWG analysis methodology

Performance measurement of parallel Ada: an applications based approach

Content Provider	ACM Digital Library
Author	Goforth, Andre Marquardt, Matthew Collard, Philippe
Abstract	This paper reports on the development of benchmarks and performance measures for parallel Ada tasking. The focus is on the macroscopic behavior of the benchmarks across a set of load parameters because parallel processing of Ada tasks involves complex run-time behavior and side effects. An Ada program of an application with parallel processes was implemented and its tasks' execution on a multiprocessor system was studied.The chosen application was the NASREM model developed by National Bureau of Standards (NBS). The purpose of the model is to serve as a standard reference control architecture for intelligent, autonomous telerobotic systems. The control architectures of these systems have significant communication requirements as well as computational requirements. A preliminary load model of communication and computation characteristics has been made.Experiments were run on a Sequent Balance 8000 which has a tightly coupled, shared memory multiprocessor architecture and hosts a proprietary version of UNIX. The number of processors varied from 1 to 16. The software environment was a Verdix Ada compiler. A proprietary Ada run-time environment automatically scheduled Ada tasks for parallel execution on available processors.Most results show lowered communication response time as more processors were made available. However, in some cases communication response time increased as more processors were added. This appears because of system overhead.
Starting Page	38
Ending Page	58
Page Count	21
File Format	PDF
ISBN	089791354X
DOI	10.1145/322807.322844
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	1990-01-01
Publisher Place	New York
Access Restriction	Subscribed
Content Type	Text
Resource Type	Article

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