从编译器的角度与GPGPU相比具有可重构芯片的优势

K. Wakabayashi
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引用次数: 2

摘要

本文从C编译器的角度讨论了FPGA或粗粒度可重构处理器如何优于CPU/GPGPU。首先介绍了CPU、GPGPU的体系结构特点,以及基于FSM+Datapath模型的细粒度和粗粒度可重构进程。然后,根据编译器技术(编译器并行化的自由度),解释了“FPGA和基于c语言的高级合成工具”比GPGPU更能加速哪些应用。
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Reconfigurable chip advantage compared with GPGPU from the compiler perspective
This presentation discusses how FPGA or coarse grained reconfigurable processor is superior to CPU/GPGPU from the view point of C compiler. Initially, we introduce the architectural characteristic of CPU, GPGPU and fine grained and coarse grained reconfigurable process with FSM+Datapath model. Then, we explain what kind of applications can be accelerated with "FPGA and C-based High Level Synthesis Tool" better than GPGPU according to the compiler techniques (freedom of compiler parallelization).
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Message from the General Chair and Program Co-Chairs Accelerator-in-Switch: A Novel Cooperation Framework for FPGAs and GPUs FPGA Accelerated HPC and Data Analytics Novel Neural Network Applications on New Python Enabled Platforms High-level synthesis - the right side of history
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