Decoupled Execution Paradigm for Data-Intensive High-End Computing

I/O on High-End Computing (HEC) machines is increasingly becoming the killing performance bottleneck. However, conventional execution paradigms for HEC are computing-centric and have inherent limitations in addressing critical I/O issues of data-intensive applications. There is a great need for developing unconventional execution paradigms to meet the growing I/O demand of high-end computing.

Four institutions, Texas Tech University, Illinois Institute of Technology, Argonne National Laboratory, and University of Illinois at Urbana-Champaign, are collaborating in this project and propose a decoupled execution paradigm (DEP) to address I/O bottleneck issues. DEP is the first paradigm enabling users to identify and handle data-intensive operations separately. The objective of this project is three-fold: 1) understanding the execution paradigm requirement from the data-centric point of view, 2) studying the feasibility of the proposed decoupled execution paradigm, and 3) providing a partially implemented prototyping of DEP and its associated system design to support the first two objectives. This project is funded by the National Science Foundation Computer Systems Research (CSR) program under grants CNS-1162488, CNS-1162540, and CNS-1161507.

ACKNOWLEDGMENT: We are grateful to the National Science Foundation for the sponsorship of this project.

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