?CFD Builder: A Library Builder for Computational Fluid Dynamics
Abstract not provided.
Publications
CFD Builder: A Library Builder for Computational Fluid Dynamics
Abstract not provided.
CFD Builder: A Library Builder for Computational Fluid Dynamics
Abstract not provided.
CFD Builder: A Library Builder for Computational Fluid Dynamics
Abstract not provided.
Evaluating transformations for data locality and short SIMD vectorization in Computational Fluid Dynamics
Abstract not provided.
Exploring Workloads of Adaptive Mesh Refinement
Abstract not provided.
MPPM, Viewed as a co-design effort
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
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.
The potential and perils of multi-level memory
ACM International Conference Proceeding Series
The future of memory systems isMulti-LevelMemory (MLM). In a MLM system the main memory is comprised of two or more types of memory instead of a conventional DDR- DRAM-only main memory. By combining different memory technologies, an MLM system can potentially offer more us- Able bandwidth and more capacity for a similar cost as a conventional memory system. However, substantial software and hardware design challenges must be overcome to make this potential real. It is our position that the diversity of application access pat- Terns precludes any simple "one size fits all" approach and that better tools and design processes will be needed to ful- fill the potential of MLM. Effcient implementations of MLM will require a high degree of co-design and coordination be- Tween hardware and software. The simulation framework we have built for this study can aid tool building to solve the programming challenges.
The Potentials and Perils of Multi-Level Memory
Abstract not provided.
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