SHF: Medium: Compute on Data Path: Combating Data Movement in High Performance Computing

高性能计算支持的仿真已被广泛认为是科学沿着于理论和实验的第三大支柱，并且是科学发现和创新的许多方面的战略工具。然而，高性能计算模拟近年来已经变得高度数据密集型，这是由于数据获取和生成变得便宜得多，更新的高分辨率多模型科学发现产生并需要更多数据，并且可以从大量数据中挖掘出有用数据的洞察力大大增加。该项目旨在应对高性能计算中日益严峻的数据移动挑战。该项目研究了一种新的数据路径计算方法的可行性，该方法有望提高高性能计算的性能和能源效率。这种新方法将计算和数据建模为对象，并使用数据模型封装和绑定它们。它融合了数据运动和计算，利用编程模型和编译器。它开发了一个基于对象的存储和运行时，使计算沿着数据路径管道。近年来，已经观察到包括多核和众核系统、协处理器和加速器以及异构计算平台的高级高性能计算架构的激增。然而，解决关键数据移动挑战的软件解决方案却远远落后。该项目有可能推进理解和软件解决方案，并进一步释放高性能计算支持的模拟的力量。

High performance computing enabled simulation has been widely considered a third pillar of science along with theory and experimentation, and is a strategic tool in many aspects of scientific discovery and innovation. High performance computing simulations, however, have become highly data intensive in recent years due to data acquisition and generation becoming much cheaper, newer high-resolution multi-model scientific discovery producing and requiring more data, and the insight that useful data can be mined out of large amounts of data being substantially increased. This project combats the increasingly critical data movement challenge in high performance computing. This project studies the feasibility of a new Compute on Data Path methodology that expects to improve the performance and energy efficiency for high performance computing. This new methodology models both computations and data as objects with a data model that encapsulates and binds them. It fuses data motion and computation leveraging programming model and compiler. It develops an object-based store and runtime to enable computations along data path pipeline. In recent years, a proliferation of advanced high performance computing architectures including multi- and many-core systems, co-processors and accelerators, and heterogeneous computing platforms have been observed. The software solution that addresses the critical data movement challenge, however, has significantly lagged behind. This project has the potential of advancing the understandings and the software solution and further unleashing the power of high performance computing enabled simulation.