A Unified Programming Model for Heterogeneous Computing with CPU and Accelerator Technologies

EasyChair Preprint 7755

Abstract

This paper consists of three parts. The first part provides a unified programming model for heterogeneous computing with CPU and accelerator (like GPU, FPGA, Google TPU, and more) technologies. To some extent, this new programming model makes programming across CPUs and accelerators turn into usual programming tasks with common programming languages, and relieves complexity of programming across CPUs and accelerators. It can be achieved by extending file managements in common programming languages, such as C/C++, Fortran, Python, MPI, etc., to cover accelerators as I/O devices. In the second part, we show that all types of computer systems can be reduced to the simplest type of computer system, a single-core CPU computer system with I/O devices, by the unified programming model. Thereby, the unified programming model can truly build the programming of various computer systems on one API (i.e. file managements of common programming languages), and can make programming for various computer systems easier. In third part, we present a new approach to coupled applications (like multidisciplinary simulations) computing by the unified programming model. The unified programming model makes coupled applications computing more natural and easier since it only relies on its own power to couple multiple applications through MPI.

Keyphrases: Accelerator, CPU, Unified programming model, coupled applications, general printer, one API

@booklet{EasyChair:7755,
  author    = {Yuqing Xiong},
  title     = {A Unified Programming Model for Heterogeneous Computing with CPU and Accelerator Technologies},
  howpublished = {EasyChair Preprint 7755},
  year      = {EasyChair, 2022}}