Sargantana:在22nm FD-SOI中具有SIMD矢量扩展的1 GHz+顺序RISC-V处理器

Víctor Soria Pardos, Max Doblas, Guillem López-Paradís, Gerard Candón, Narcís Rodas, Xavier Carril, Pau Fontova-Musté, Neiel Leyva, Santiago Marco-Sola, Miquel Moretó
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引用次数: 3

摘要

RISC-V开放指令集架构(ISA)已被证明是授权ISA的可靠替代方案。在过去的5年中,已经开发了大量的工业和学术核心和加速器来实现这个开放的ISA。在本文中,我们介绍了Sargantana,一个基于RISC-V的64位处理器,它实现了RV64G ISA,矢量指令扩展(RVV 0.7.1)的一个子集,以及自定义的特定应用指令。Sargantana具有高度优化的7级管道,实现了乱序回写、寄存器重命名和非阻塞内存管道。此外,Sar-gantana具有单指令多数据(SIMD)单元,可加速特定领域的应用程序。Sargantana采用22nm FD-SOI商用技术,在典型角落实现1.26 GHz频率,在快速角落实现1.69 GHz频率。因此,Sargantana提供的每周期指令(IPC)比我们以前的5级顺序DVINO核心高1.77倍,达到2.44 CoreMark/MHz。我们的核心设计提供了与Autobench EEMBC基准套件下其他最先进的学术核心性能相当甚至更高的性能。通过这种方式,Sargantana为未来基于RISC-V的核心设计奠定了基础,能够满足科学,实时和高性能计算应用的工业级性能要求。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Sargantana: A 1 GHz+ In-Order RISC-V Processor with SIMD Vector Extensions in 22nm FD-SOI
The RISC-V open Instruction Set Architecture (ISA) has proven to be a solid alternative to licensed ISAs. In the past 5 years, a plethora of industrial and academic cores and accelerators have been developed implementing this open ISA. In this paper, we present Sargantana, a 64-bit processor based on RISC-V that implements the RV64G ISA, a subset of the vector instructions extension (RVV 0.7.1), and custom application-specific instructions. Sargantana features a highly optimized 7-stage pipeline implementing out-of-order write-back, register renaming, and a non-blocking memory pipeline. Moreover, Sar-gantana features a Single Instruction Multiple Data (SIMD) unit that accelerates domain-specific applications. Sargantana achieves a 1.26 GHz frequency in the typical corner, and up to 1.69 GHz in the fast corner using 22nm FD-SOI commercial technology. As a result, Sargantana delivers a 1.77× higher Instructions Per Cycle (IPC) than our previous 5-stage in-order DVINO core, reaching 2.44 CoreMark/MHz. Our core design delivers comparable or even higher performance than other state-of-the-art academic cores performance under Autobench EEMBC benchmark suite. This way, Sargantana lays the foundations for future RISC-V based core designs able to meet industrial-class performance requirements for scientific, real-time, and high-performance computing applications.
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