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Mapping Systolic Arrays for Matrix Multiplication onto Hardware Platforms

机译:将用于矩阵乘法的脉动阵列映射到硬件平台

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摘要

Systolic arrays speed up scientific computations with inherent parallelization, by exploiting massive data pipeline parallelism. In addition, they include short and problem-size independent signal paths, predictable performance, scalability, and simple design and test. In this paper, a hardware implementation of a linear systolic array for matrix multiplication is investigated. The selected platform is a FPGA (Field Programmable Gate Array) device and the description language used as an entry tool to model hardware architecture is the VHDL (Very High Speed Integrated Circuit Hardware Description Language).
机译:脉动阵列通过利用海量数据管道并行性来加速具有固有并行性的科学计算。此外,它们还包括短而有问题的独立信号路径,可预测的性能,可扩展性以及简单的设计和测试。本文研究了用于矩阵乘法的线性脉动阵列的硬件实现。所选平台是FPGA(现场可编程门阵列)设备,用作建模硬件体系结构的输入工具的描述语言是VHDL(超高速集成电路硬件描述语言)。

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