The Community for Technology Leaders
RSS Icon
Subscribe
Issue No.09 - September (1993 vol.4)
pp: 1041-1059
ABSTRACT
<p>The tension between software development costs and efficiency is especially high when considering parallel programs intended to run on a variety of architectures. In the domain of shared memory architectures and explicitly parallel programs, the authors have addressed this problem by defining a programming structure that eases the development of effectively portable programs. On each target multiprocessor, an effectively portable program runs almost as efficiently as a program fine-tuned for that machine. Additionally, its software development cost is close to that of a single program that is portable across the targets. Using this model, programs are defined in terms of data structure and partitioning-scheduling abstractions. Low software development cost is attained by writing source programs in terms of abstract interfaces and thereby requiring minimal modification to port; high performance is attained by matching (often dynamically) the interfaces to implementations that are most appropriate to the execution environment. The authors include results of a prototype used to evaluate the benefits and costs of this approach.</p>
INDEX TERMS
Index Termsparallel portability; software development; costs; efficiency; shared memory architectures; parallel programs; target multiprocessor; data structure; partitioning-scheduling; parallel languages; run-time systems; parallel programming; portability; parallel programming; shared memory systems; software portability; structured programming
CITATION
G.A. Alverson, D. Notkin, "Program Structuring for Effective Parallel Portability", IEEE Transactions on Parallel & Distributed Systems, vol.4, no. 9, pp. 1041-1059, September 1993, doi:10.1109/71.243530
5 ms
(Ver 2.0)

Marketing Automation Platform Marketing Automation Tool