Enabling the Efficient Use of SMP Clusters The GAMESS/DDI Model

• Published in: ACM/IEEE SC 2003 Conference (SC'03) p. 41
• Main Authors: Olson, Ryan M., Schmidt, Michael W., Gordon, Mark S., Rendell, Alistair P.
• Format: Conference Proceeding
• Language: English
• Published: New York, NY, USA ACM 15.11.2003; IEEE
• Series: ACM Conferences
• Subjects: Application software; Chemistry; Computer applications; Computer systems organization; Computer systems organization > Architectures; Computer systems organization > Architectures > Distributed architectures; Computer systems organization > Architectures > Parallel architectures; Computing methodologies; Electronics packaging; Games; Hardware; Materials science and technology; Molecular electronics; Programming; Software and its engineering; Software and its engineering > Software organization and properties; Software and its engineering > Software organization and properties > Contextual software domains; Software and its engineering > Software organization and properties > Software system structures; Software and its engineering > Software organization and properties > Software system structures > Distributed systems organizing principles; Timing
• ISBN: 9781581136951; 1581136951
• DOI: 10.1145/1048935.1050191

An important advance in cluster computing is the evolution from single processor clusters to multi-processor SMP clusters. Due to the increased complexity in the memory model on SMP clusters, new approaches are needed for applications that make use of distributed-memory paradigms. This paper presents new communications software developments that are designed to take advantage of SMP cluster hardware. Although the specific focus is on the central field of computational chemistry and materials science, as embodied in the popular electronic structure package GAMESS (General Atomic and Molecular Electronic Structure System), the impact of these new developments will be far broader in scope. Following a summary of the essential features of the distributed data interface (DDI) in the current implementation of GAMESS, the new developments for SMP clusters are described. The advantages of these new features are illustrated using timing benchmarks on several hardware platforms, using a typical computational chemistry application.