FPGA:ACM/SIGDA International Symposium on Field-Programmable Gate Arrays。 Explanation:ACM/SIGDA现场可编程门阵列国际研讨会。 Publisher:ACM。 SIT: http://dblp.uni-trier.de/db/conf/fpga/

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近年来,现场可编程逻辑门阵列(FPGA)在异构计算领域因其优异的可定制性和可重配置特点吸引了工业界和学术界广泛的关注.基于FPGA的硬件加速系统设计涉及到深度的软硬件协同开发,利用软硬件各自开发工具分别开发再集成的传统开发方式具有学习门槛高,集成、测试、部署耗时长等缺陷,开发人员难以利用FPGA可快速重配置的特点来实现系统开发过程中的快速原型和快速迭代.如何让硬件加速系统的开发利用到现代软件工程和程序语言领域的成果,研究者们已经经过了长期的探索,本文首先根据相关研究总结了硬件及硬件加速系统开发工具设计的历史教训和成功经验,然后介绍我们的设计实践,最后进行总结并提出对未来的展望.

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The importance of open-source hardware and software has been increasing. However, despite GPUs being one of the more popular accelerators across various applications, there is very little open-source GPU infrastructure in the public domain. We argue that one of the reasons for the lack of open-source infrastructure for GPUs is rooted in the complexity of their ISA and software stacks.In this work, we first propose an ISA extension to RISC-V that supports GPGPUs and graphics. The main goal of the ISA extension proposal is to minimize the ISA changes so that the corresponding changes to the open-source ecosystem are also minimal, which makes for a sustainable development ecosystem. To demonstrate the feasibility of the minimally extended RISC-V ISA, we implemented the complete software and hardware stacks of Vortex on FPGA. Vortex is a PCIe-based soft GPU that supports OpenCL and OpenGL.Vortex can be used in a variety of applications, including machine learning, graph analytics, and graphics rendering. Vortex can scale up to 32 cores on an Altera Stratix 10 FPGA, delivering a peak performance of 25.6 GFlops at 200 Mhz.

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