Abstract

This paper describes a new project that systematically addresses the enormous complexity of mapping applications to current and future parallel platforms. By integrating the system layers - domain-specific environment, application program, compiler, run-time environment, performance models and simulation, and workflow manager - and through a systematic strategy for application mapping, our approach exploit the vast machine resources available in such parallel platforms to dramatically increase the productivity of application programmers. This project brings together computer scientists in the areas represented by the system layers (i.e., language extensions, compilers, run-time systems, workflows) together with expertise in knowledge representation and machine learning. With expert domain scientists in molecular dynamics (MD) simulation, we are developing our approach in the context of a specific …

Date

March 26, 2007

Authors

Bhupesh Bansal, Umit Catalyurek, Jacqueline Chame, Chun Chen, Ewa Deelman, Yolanda Gil, Mary Hall, Vijay Kumar, Tahsin Kurc, Kristina Lerman, Aiichiro Nakano, Yoon-ju Lee Nelson, Joel Saltz, Ashish Sharma, Priya Vashishta

Conference

2007 IEEE International Parallel and Distributed Processing Symposium

Pages

1-6

Publisher

IEEE