CMSSL: a scalable scientific software library

Author

Johnsson, S. Lennart

Author_Institution

Thinking Machines Corp., Cambridge, MA, USA

fYear

1993

fDate

6-8 Oct 1993

Firstpage

57

Lastpage

66

Abstract

Massively parallel processors introduce new demands on software systems with respect to performance, scalability, robustness and portability. The increased complexity of the memory systems and the increased range of problem sizes for which a given piece of software is used poses serious challenges for software developers. The Connection Machine Scientific Software Library, CMSSL, uses several novel techniques to meet these challenges. The CMSSL contains routines for managing the data distribution and provides data distribution independent functionality. High performance is achieved through careful scheduling of operations and data motion, and through the automatic selection of algorithms at run-time. We discuss some of the techniques used, and provide evidence that CMSSL has reached the goals of performance and scalability for an important set of applications

Keywords

natural sciences; natural sciences computing; parallel programming; software portability; subroutines; CMSSL; Connection Machine Scientific Software Library; data distribution; performance; portability; robustness; scalability; scalable scientific software library; Application software; Computer architecture; Large-scale systems; Parallel processing; Robustness; Runtime; Scalability; Scheduling algorithm; Software libraries; Software systems;

fLanguage

English

Publisher

ieee

Conference_Titel

Scalable Parallel Libraries Conference, 1993., Proceedings of the

Conference_Location

Mississippi State, MS

Print_ISBN

0-8186-4980-1

Type

conf

DOI

10.1109/SPLC.1993.365582

Filename

365582