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Title: Prometheus: Coherent Exploration of Hardware and Software Optimizations using Aspen

Abstract

With the dramatic increase in scale expected for Exascale computing, there is a dire need for tuning of hardware configurations and software optimizations such that they are in unison. However, the expected increase in tunable hardware parameters makes searching through the design space for optimal hardware-and-software configurations much more challenging. Towards this end, we propose a composable hardware-software optimization framework called Prometheus. Prometheus uses a combination of analytical and machine-learning techniques to capture application characteristics and subsequently determine the hardware-software configuration for near-optimal performance. We evaluate Prometheus for its efficacy using four widely used proxy applications: LULESH, CoMD, CG and CoEVP. We demonstrate that Prometheus identifies near-optimal hardwaresoftware configurations and verify the results via brute-force search of the design space.

Authors:
 [1]; ORCiD logo [2]; ORCiD logo [2];  [1]
  1. Virginia Tech, Blacksburg, VA
  2. ORNL
Publication Date:
Research Org.:
Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
Sponsoring Org.:
USDOE Office of Science (SC)
OSTI Identifier:
1476412
DOE Contract Number:  
AC05-00OR22725
Resource Type:
Conference
Resource Relation:
Conference: 26th IEEE International Symposium on the Modeling, Analysis, and Simulation of Computer and Telecommunication Systems - Milwaukee, Wisconsin, United States of America - 9/25/2018 8:00:00 AM-9/28/2018 8:00:00 AM
Country of Publication:
United States
Language:
English

Citation Formats

Umar, Mariam, Moore, Shirley V., Vetter, Jeffrey S., and Cameron, Kirk W. Prometheus: Coherent Exploration of Hardware and Software Optimizations using Aspen. United States: N. p., 2018. Web.
Umar, Mariam, Moore, Shirley V., Vetter, Jeffrey S., & Cameron, Kirk W. Prometheus: Coherent Exploration of Hardware and Software Optimizations using Aspen. United States.
Umar, Mariam, Moore, Shirley V., Vetter, Jeffrey S., and Cameron, Kirk W. Sat . "Prometheus: Coherent Exploration of Hardware and Software Optimizations using Aspen". United States. https://www.osti.gov/servlets/purl/1476412.
@article{osti_1476412,
title = {Prometheus: Coherent Exploration of Hardware and Software Optimizations using Aspen},
author = {Umar, Mariam and Moore, Shirley V. and Vetter, Jeffrey S. and Cameron, Kirk W.},
abstractNote = {With the dramatic increase in scale expected for Exascale computing, there is a dire need for tuning of hardware configurations and software optimizations such that they are in unison. However, the expected increase in tunable hardware parameters makes searching through the design space for optimal hardware-and-software configurations much more challenging. Towards this end, we propose a composable hardware-software optimization framework called Prometheus. Prometheus uses a combination of analytical and machine-learning techniques to capture application characteristics and subsequently determine the hardware-software configuration for near-optimal performance. We evaluate Prometheus for its efficacy using four widely used proxy applications: LULESH, CoMD, CG and CoEVP. We demonstrate that Prometheus identifies near-optimal hardwaresoftware configurations and verify the results via brute-force search of the design space.},
doi = {},
url = {https://www.osti.gov/biblio/1476412}, journal = {},
number = ,
volume = ,
place = {United States},
year = {2018},
month = {9}
}

Conference:
Other availability
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