1 / 7

Domain Applications: Broader Community Perspective

Domain Applications: Broader Community Perspective. Mixture of apprehension and excitement about programming for emerging architectures. X10?. MPI+OpenACC ?. MPI+CUDA?. Charm++?. MPI+OpenMP ?. Domain Applications: Broader Community Perspective.

kreeli
Download Presentation

Domain Applications: Broader Community Perspective

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. Domain Applications: Broader Community Perspective • Mixture of apprehension and excitement about programming for emerging architectures

  2. X10? MPI+OpenACC? MPI+CUDA? Charm++? MPI+OpenMP?

  3. Domain Applications: Broader Community Perspective • Mixture of apprehension and excitement about programming for emerging architectures • Early adopters are the tip of the iceberg – how does this trickle down to the typical computational scientist? • What will be the analog(s) to MPI’s standardization of the communicating sequential process programming model? • “the MPI standard has been the most significant advancementin practical parallel programming in over a decade, and it is the foundation of the vast majority of modern parallel programs … MPI is evil … MPI’s success further stifled adoption of advanced parallel programming techniques” – Dunning, Harrison, and Nichols (2006).

  4. Domain Applications on Leadership-Class Platforms • There is a healthy mix of: • Evolutionary porting* of today’s codes and algorithms to new architectures, to stress limits of performance and scalability • Cross-platform comparison as proxies of future exascale systems, with various node (complexity/heterogeneity of cores, memory bandwidth/complexity) and network (topology and performance) characteristics (and programming models) • Revolutionary development of hybrid/hierarchical algorithms tailored to hybrid/hierarchical platforms (e.g. scale-bridging, process engineering examples) *Often including significant rewrites, e.g. Fortran+PETSc C+MPI+X={OpenMP,CUDA} for GTC-P.

  5. Domain Applications – Common Themes (1/2) • Importance of international collaborations • E.g., E8 exascale climate and fusion projects to tackle shared societal (climate, energy) and technical challenges • Continuing adoption of multiphysics* coupling in various domains *And multigrid, multiscale, multiprecision, etc. • Need for performance measurement, analysis/visualization, and optimization tools appropriate to complexity (hierarchical compute & memory) and scale (millions to billions of threads, variability) of emerging systems

  6. Domain Applications – Common Themes (2/2) • Increased computational power is needed to: • Improve physical fidelity, e.g. empirical force fields for biomolecular & materials MD • Increase resolution, e.g. Earth system and industrial modeling • Increase time scales, e.g. protein folding, PIC convergence • Increase ensemble size, e.g. UQ and parameter/design space exploration • Tackle non-traditional problems, e.g. computational systems biology, integration of modeling & experiment (“Computational Steering 2.0”) • Need to distinguish between “voracious” (more of same – just bigger & faster) vs. “transformational”.(achievement of major new levels of scientific understanding)

More Related