XPS: CLCCA (XPS: DSD) Future Extreme Scale Frameworks using DSL and ERTS

该项目将为在下一个十年的艾级计算机上使用新的计算框架解决大型多尺度多物理场工程问题奠定基础。这些框架将通过自适应、异步、容错和能量感知来预测所提出的未来计算机硬件的趋势，并且将通过经由域特定语言（DSL）生成有效的特定代码以及通过经由Exascale运行时系统有效地调度该代码来解决Exascale系统的可能的十亿路并行性。Erts。该项目的原型计算框架将使用有向非循环图（DAG）来生成专用于多核节点和/或加速器的DSL中的代码，并且它还将在Erts中的运行时系统级使用DAGS。在节点多核或加速器级别，DSL将是用于多尺度、多物理场模拟的声明性、高级、类型安全的域特定语言，其将通过自动化编写由Erts执行的优化代码来提高生产率。为了确保这些活动为具有高影响力的重要工程应用提供相关解决方案，例如新电池和燃料电池或清洁煤锅炉的设计，该项目将采用多学科方法，将计算机科学的进步与这些有意义的工程问题的解决方案结合起来。

This project will lay the foundations for solving large multi-scale multi-physics engineering problems using new computational frameworks on the next decade's exascale computers. These frameworks will anticipate trends in proposed future computer hardware by being adaptive, asynchronous, fault-tolerant, and energy-aware and will address the possible billion-way parallelism of exascale systems by both generating efficient specific code through a domain specific language (DSL) and by efficiently scheduling that code through an Exascale Run Time System, ERTS.The project's prototype computational framework will use Directed Acyclic Graphs (DAGs) to generate code in the DSL that is specialized for multicore nodes and/or accelerators and it will also use DAGS at the runtime system level in the ERTS. At a nodal multicore or accelerator level the DSL will be a declarative, high-level, type-safe domain-specific language for multi-scale, multi-physics simulations that will improve productivity by automating the writing of optimized code that is executed by the ERTS. In order to ensure that these activities produce relevant solutions for important engineering applications with high impact such as, for example, the design of new batteries and fuel cells or clean coal boilers, the project will employ a multi-disciplinary approach that couples computer science advances to the solution of such meaningful engineering problems.