Auto source code generation and run-time infrastructure and environment for high performance, distributed computing systems

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Abstract

With the emergence of inexpensive commercial off-the-shelf (COTS) parts, heterogeneous multi-processor HPC platforms have now become more affordable. However, the effort required in developing real-time applications that require high-performance and high input/output bandwidth for the HPC systems is still difficult. Honeywell Inc. has released a suite of tools called the Systems and Applications Genesis Environment (SAGE) which allows an engineer to develop and field applications efficiently on the HPCs. This paper briefly describes the SAGE tool suite, which is followed by a detailed description of the SAGE automatic code generation and run-time components used for COTS based heterogeneous HPC platform. Experiments were conducted and demonstrated to show that the SAGE generated glue (source) code with run-time executes comparably or within 75% efficiency to hand coded version of the Parallel 2D FFT and Distributed Corner Turn benchmarks that were executed on CSPI, Mercury and SKY compute platforms. © 2000 Springer-Verlag Berlin Heidelberg.

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APA

Patel, M. I., Jordan, K., Clark, M., & Bhatt, D. (2000). Auto source code generation and run-time infrastructure and environment for high performance, distributed computing systems. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 1800 LNCS, pp. 816–822). Springer Verlag. https://doi.org/10.1007/3-540-45591-4_112

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