返回
Enabling particle applications for exascale computing platforms
DOI:10.1177/10943420211022829.png)
摘要
En 中文
The Exascale Computing Project (ECP) is invested in co-design to assure that key applications are ready for exascale computing. Within ECP, the Co-design Center for Particle Applications (CoPA) is addressing challenges faced by particle-based applications across four sub-motifs: short-range particle-particle interactions (e.g., those which often dominate molecular dynamics (MD) and smoothed particle hydrodynamics (SPH) methods), long-range particle-particle interactions (e.g., electrostatic MD and gravitational N-body), particle-in-cell (PIC) methods, and linear-scaling electronic structure and quantum molecular dynamics (QMD) algorithms. Our crosscutting co-designed technologies fall into two categories: proxy applications (or apps) and libraries. Proxy apps are vehicles used to evaluate the viability of incorporating various types of algorithms, data structures, and architecture-specific optimizations and the associated trade-offs; examples include ExaMiniMD, CabanaMD, CabanaPIC, and ExaSP2. Libraries are modular instantiations that multiple applications can utilize or be built upon; CoPA has developed the Cabana particle library, PROGRESS/BML libraries for QMD, and the SWFFT and fftMPI parallel FFT libraries. Success is measured by identifiable lessons learned that are translated either directly into parent production application codes or into libraries, with demonstrated performance and/or productivity improvement. The libraries and their use in CoPA's ECP application partner codes are also addressed.
Keyword:
Cabana particle toolkit
Co-design for exascale
particle applications
performance portability across architectures
PROGRESS
BML for electronic structure
期刊
IF:
2.5
论文数:
1.1K
被引数:
1.3K
机构
引用论文
Job tenure and quality of work life of people with psychiatric disabilities working in social enterprises在社会企业工作的精神病患者的工作任期和工作生活质量
A Review of No Free Lunch Theorems, and Their Implications for Metaheuristic Optimisation无免费午餐定理及其对元启发式优化的影响
Fast time-resolved electrostatic force microscopy: Achieving sub-cycle time resolution快速时间分辨静电力显微镜: 实现亚周期时间分辨率

