A High-Performance Core Micro-Architecture Based on RISC-V ISA for Low Power Applications

被引:11
|
作者
Bora, Satyajit [1 ]
Paily, Roy [1 ]
机构
[1] Indian Inst Technol Guwahati, Dept Elect & Elect Engn, Gauhati 781039, India
关键词
Micro-architecture; RV32IM; RISC-V; functional unit; Baugh Wooley; Booth; veddic; Dadda; FPGA; ARM; PROCESSOR;
D O I
10.1109/TCSII.2020.3043204
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Design of high-performance processors with very low power requirement is the primary goal of many contemporary and futuristic applications. This brief presents a novel processor micro-architecture which is capable of achieving these requirements. The micro-architecture is based on RISC-V Instruction Set Architecture (ISA). The core is implemented and verified on Xilinx Virtex-7 FPGA board with a resource requirement of 7617 LUTs and 2319 FFs. This core could achieve a Dhrystone benchmark score of 1.71 DMIPS per MHz which is higher than ARM Cortex-M3 (1.50 DMIPS per MHz) and ARM Cortex-M4 (1.52 DMIPS per MHz). The Coremark benchmark is also tested on this core and it gives 4.13 Coremark per MHz. The physical design result of the core using commercial tools shows that it can achieve a maximum frequency of 198.02 MHz with 0.036 mm(2) area and 17.36 KW/MHz power requirement at UMC 40 nm technology node. The core consumes a dynamic power of 19.75 mu W/MHz at UMC 90nm which is 36% and 40% better than ARM Cortex-M3 and Cortex-M4 respectively and also lower than many others cores. The results show that this core can outperform many existing commercial and open-source cores.
引用
收藏
页码:2132 / 2136
页数:5
相关论文
共 50 条
  • [21] Design and Implementation of a Dynamic Information Flow Tracking Architecture to Secure a RISC-V Core for IoT Applications
    Palmiero, Christian
    Di Guglielmo, Giuseppe
    Lavagno, Luciano
    Carloni, Luca P.
    2018 IEEE HIGH PERFORMANCE EXTREME COMPUTING CONFERENCE (HPEC), 2018,
  • [22] Design and Performance Evaluation of an Adaptive Routing Algorithm for RISC-V Based NoC Architecture
    Reddy, B. Naresh Kumar
    Kumar, Aruru Sai
    Krishna, Y. Charan
    10TH INTERNATIONAL CONFERENCE ON ELECTRONICS, COMPUTING AND COMMUNICATION TECHNOLOGIES, CONECCT 2024, 2024,
  • [23] A High-Performance Domain-Specific Processor With Matrix Extension of RISC-V for Module-LWE Applications
    Zhao, Yifan
    Xie, Ruiqi
    Xin, Guozhu
    Han, Jun
    IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS I-REGULAR PAPERS, 2022, 69 (07) : 2871 - 2884
  • [24] Parallel DNN Inference Framework Leveraging a Compact RISC-V ISA-based Multi-core System
    Zhang, Yipeng
    Du, Bo
    Zhang, Lefei
    Wu, Jia
    KDD '20: PROCEEDINGS OF THE 26TH ACM SIGKDD INTERNATIONAL CONFERENCE ON KNOWLEDGE DISCOVERY & DATA MINING, 2020, : 627 - 635
  • [25] Monte Cimone: Paving the Road for the First Generation of RISC-V High-Performance Computers
    Bartolini, Andrea
    Ficarelli, Federico
    Parisi, Emanuele
    Beneventi, Francesco
    Barchi, Francesco
    Gregori, Daniele
    Magugliani, Fabrizio
    Cicala, Marco
    Gianfreda, Cosimo
    Cesarini, Daniele
    Acquaviva, Andrea
    Benini, Luca
    2022 IEEE 35TH INTERNATIONAL SYSTEM-ON-CHIP CONFERENCE (IEEE SOCC 2022), 2022, : 1 - 6
  • [26] WFAsic: A High-Performance ASIC Accelerator for DNA Sequence Alignment on a RISC-V SoC
    Haghi, Abbas
    Alvarez, Lluc
    Fornt, Jordi
    de Haro Ruiz, Juan Miguel
    Figueras, Roger
    Doblas, Max
    Marco-Sola, Santiago
    Moreto, Miguel
    PROCEEDINGS OF THE 52ND INTERNATIONAL CONFERENCE ON PARALLEL PROCESSING, ICPP 2023, 2023, : 392 - 401
  • [27] The Power Suppression Techniques for the DPA-resistant RISC-V CPU Core Based on WDDL
    Cui X.
    Li X.
    Li H.
    Zhang X.
    Dianzi Yu Xinxi Xuebao/Journal of Electronics and Information Technology, 2023, 45 (09): : 3244 - 3252
  • [28] Low-Power Magnetic Displacement Sensor Based on RISC-V Embedded System
    Sun, Tao
    Song, Yue
    Yang, Huiyun
    SENSORS, 2024, 24 (13)
  • [29] An Energy Consumption Benchmark for a Low-Power RISC-V Core Aimed at Implantable Medical Devices
    Molina-Robles, Roberto
    Arnaud, Alfredo
    Miguez, Matias
    Gak, Joel
    Chacon-Rodriguez, Alfonso
    Garcia-Ramirez, Ronny
    IEEE EMBEDDED SYSTEMS LETTERS, 2023, 15 (02) : 57 - 60
  • [30] AGILER: An Adaptive Heterogeneous Tile-Based Many-Core Architecture for RISC-V Processors
    Kamaleldin, Ahmed
    Goehringer, Diana
    IEEE ACCESS, 2022, 10 : 43895 - 43913