Title :
mPPM, Viewed as a Co-Design Effort
Author :
Woodward, Paul R. ; Jayaraj, Jagan ; Barrett, Richard
Author_Institution :
Lab. for Comput. Sci. & Eng., Univ. of Minnesota, Minneapolis, MN, USA
Abstract :
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.
Keywords :
astronomy computing; parallel processing; astrophysics; co-design; high performance computing platforms; locally attached main memory; mPPM; microprocessor chip; miniapp code; piecewise parabolic method; Algorithm design and analysis; Bandwidth; Fluids; Hardware; Memory management; Slabs; Vectors; co-design; miniapp; memory bandwidth;
Conference_Titel :
Hardware-Software Co-Design for High Performance Computing (Co-HPC), 2014
Conference_Location :
New Orleans, LA
DOI :
10.1109/Co-HPC.2014.13