Improving the programmability of STHORM-based heterogeneous systems with offload-enabled OpenMP

A. Marongiu, Alessandro Capotondi, Giuseppe Tagliavini, L. Benini
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引用次数: 21

Abstract

Heterogeneous architectures based on one fast-clocked, moderately multicore "host" processor plus a many-core accelerator represent one promising way to satisfy the ever-increasing GOps/W requirements of embedded systems-on-chip. However, heterogeneous computing comes at the cost of increased programming complexity, requiring major rewrite of the applications with low-level programming style (e.g, OpenCL). In this paper we present a programming model, compiler and runtime system for a prototype board from STMicroelectronics featuring a ARM9 host and a STHORM many-core accelerator. The programming model is based on OpenMP, with additional directives to efficiently program the accelerator from a single host program. The proposed multi-ISA compilation toolchain hides all the process of outlining an accelerator program, compiling and loading it to the STHORM platform and implementing data sharing between the host and the accelerator. Our experimental results show that we achieve very close performance to hand-optimized OpenCL codes, at a significantly lower programming complexity.
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使用支持卸载的OpenMP改进基于sthorm的异构系统的可编程性
基于一个快时钟、适度多核“主机”处理器和一个多核加速器的异构体系结构是满足嵌入式片上系统不断增长的GOps/W需求的一种有希望的方式。然而,异构计算是以增加编程复杂性为代价的,需要用低级编程风格(例如,OpenCL)对应用程序进行大量重写。本文提出了一种基于意法半导体公司ARM9主机和STHORM多核加速器的原型板的编程模型、编译器和运行时系统。编程模型是基于OpenMP的,带有额外的指令,可以从单个主机程序有效地对加速器进行编程。提出的多isa编译工具链隐藏了概述加速器程序、编译并加载到STHORM平台以及实现主机和加速器之间数据共享的所有过程。我们的实验结果表明,我们获得了非常接近手动优化的OpenCL代码的性能,而编程复杂性却大大降低。
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