TY - GEN
T1 - MPPM, Viewed as a co-design effort
AU - Woodward, Paul R.
AU - Jayaraj, Jagan
AU - Barrett, Richard
N1 - Publisher Copyright:
© 2014 IEEE.
Copyright:
Copyright 2015 Elsevier B.V., All rights reserved.
PY - 2014/1/21
Y1 - 2014/1/21
N2 - The Piecewise Parabolic Method (PPM) was designed as a means of exploring compressible gas dynam-ics problems of interest in astrophysics, including super-sonic jets, compressible turbulence, stellar convection, and turbulent mixing and burning of gases in stellar interiors. Over time, the capabilities encapsulated in PPM have co-evolved with the availability of a series of high performance computing platforms. Implementation of the algorithm has adapted to and advanced with the architectural capabilities and characteristics of these machines. This adaptability of our PPM codes has enabled targeted astrophysical applica-tions of PPM to exploit these scarce resources to explore complex physical phenomena. Here we describe the means by which this was accomplished, and set a path forward, with a new miniapp, mPPM, for continuing this process in a diverse and dynamic architecture design environment. Adaptations in mPPM for the latest high performance machines are discussed that address the important issue of limited bandwidth from locally attached main memory to the microprocessor chip.
AB - The Piecewise Parabolic Method (PPM) was designed as a means of exploring compressible gas dynam-ics problems of interest in astrophysics, including super-sonic jets, compressible turbulence, stellar convection, and turbulent mixing and burning of gases in stellar interiors. Over time, the capabilities encapsulated in PPM have co-evolved with the availability of a series of high performance computing platforms. Implementation of the algorithm has adapted to and advanced with the architectural capabilities and characteristics of these machines. This adaptability of our PPM codes has enabled targeted astrophysical applica-tions of PPM to exploit these scarce resources to explore complex physical phenomena. Here we describe the means by which this was accomplished, and set a path forward, with a new miniapp, mPPM, for continuing this process in a diverse and dynamic architecture design environment. Adaptations in mPPM for the latest high performance machines are discussed that address the important issue of limited bandwidth from locally attached main memory to the microprocessor chip.
KW - Co-design
KW - memory bandwidth
KW - miniapp
UR - http://www.scopus.com/inward/record.url?scp=84946687237&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84946687237&partnerID=8YFLogxK
U2 - 10.1109/Co-HPC.2014.13
DO - 10.1109/Co-HPC.2014.13
M3 - Conference contribution
AN - SCOPUS:84946687237
T3 - Proceedings of Co-HPC 2014: 1st International Workshop on Hardware-Software Co-Design for High Performance Computing - Held in Conjunction with SC 2014: The International Conference for High Performance Computing, Networking, Storage and Analysis
SP - 33
EP - 40
BT - Proceedings of Co-HPC 2014
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 1st International Workshop on Hardware-Software Co-Design for High Performance Computing, Co-HPC 2014 - Held in Conjunction with the International Conference for High Performance Computing, Networking, Storage and Analysis, SC 2014
Y2 - 17 November 2014
ER -