Collaborative Research: SI2-SSI:Task-Based Environment for Scientific Simulation at Extreme Scale (TESSE)

合作研究：SI2-SSI：基于任务的超大规模科学模拟环境 (TESSE)

• 批准号: 1450300
• 负责人: George Bosilca
• 金额: $ 117.81万
• 依托单位: University of Tennessee Knoxville
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2015
• 资助国家: 美国
• 起止时间: 2015-05-15 至 2019-04-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1450300&HistoricalAwards=false
• 关键词: Collaborative; Research; SI2; SSI; Task

This project, TESSE, is developing a new-generation programming environment that uniquely address the needs of emerging computational models in chemistry and other fields, and allowing these models to reap the benefits of the computer hardware of tomorrow. The project thus is bringing closer the ability to predict properties of matter and design matter transformations of importance to the technological leadership and energy security of the US. TESSE's impact has scientific, cyberinfrastructure, and interdisciplinary educational aspects. TESSE helps carry widely used scientific applications (NWChem, MADNESS, MPQC, etc.) into a whole new generation of many-core and accelerated architectures, while at the same time dramatically improving programmer productivity. In terms of cyberinfrastructure, TESSE's PaRSEC runtime system delivers capabilities that many libraries and advanced applications will require for high performance on large scale and hybridized systems.The goals of this project, Task-based Environment for Scientific Simulation at Extreme Scale (TESSE), are to design and demonstrate via substantial scientific simulations within chemistry and other disciplines a prototype software framework that provides a groundbreaking response to the twin problems of portable performance and programmer productivity for advanced scientific applications on emerging massively-parallel, hybrid, many-core systems. TESSE will create a viable foundation for a new generation of science codes, one which enables even more rapid exploration of new physical models, provides greatly enhanced performance portability through directed acyclic graph (DAG) scheduling and auto-tuned kernels, and works towards full interoperability between major chemistry packages through compatible runtimes and data structures. TESSE will mature to become a standard, widely available, community-based and broadly-applicable parallel programming environment complementing and rivaling MPI/OpenMP. This is needed due to the widely appreciated shortfalls of existing mainstream programming models and the already huge successes of the existing DAG-based runtimes that are the foundation of the next generation of NSF- and DOE-supported (Sca)LAPACK high-performance linear algebra libraries.

这个名为 TESSE 的项目正在开发新一代编程环境，该环境能够独特地满足化学和其他领域新兴计算模型的需求，并使这些模型能够从未来计算机硬件中获益。因此，该项目使预测物质属性和设计物质转变的能力更加接近，这对美国的技术领先和能源安全至关重要。 TESSE 的影响涉及科学、网络基础设施和跨学科教育方面。 TESSE 有助于将广泛使用的科学应用程序（NWChem、MADNESS、MPQC 等）引入全新一代多核加速架构，同时显着提高程序员的工作效率。在网络基础设施方面，TESSE 的 PaRSEC 运行时系统提供了许多库和高级应用程序在大规模和混合系统上实现高性能所需的功能。该项目“基于任务的超大规模科学模拟环境”(TESSE) 的目标是通过化学和其他学科中的大量科学模拟来设计和演示原型软件框架，该框架为新兴的大规模并行、混合、多核高级科学应用的便携式性能和程序员生产力的双重问题提供了突破性的解决方案系统。 TESSE 将为新一代科学代码创建一个可行的基础，该代码能够更快地探索新的物理模型，通过有向无环图 (DAG) 调度和自动调整内核提供大大增强的性能可移植性，并致力于实现完全的互操作性通过兼容的运行时和数据结构在主要化学包之间进行连接。 TESSE 将成熟成为一个标准的、广泛可用的、基于社区的、广泛适用的并行编程环境，作为 MPI/OpenMP 的补充和竞争。这是必要的，因为现有主流编程模型存在广泛的缺陷，并且现有基于 DAG 的运行时已经取得了巨大成功，这些运行时是下一代 NSF 和 DOE 支持的 (Sca)LAPACK 高性能线性代数的基础图书馆。