Implementation and Extension of Bit Manipulation Instruction on RISC-V Architecture using FPGA

The inclusion of Bit Manipulation Instructions (BMIs) has become more and more important as embedded systems continue to demand optimum performance together with a good energy economy. Although BMIs have been adopted by x86 and ARMv8 architectures to improve runtime efficiency and reduce power consumption, the RISC-V platform-which is preferred for its adaptability in embedded applications-has not been as successful in this area. Ten improved BMIs designed specifically for the RISC-V Instruction Set Architecture (ISA) are proposed in this work to close this gap. We synthesized a superior RISC-V architecture for the Zynq Board FPGA and TSMC 3nm platforms implementing the TSMC 3nm cell library. Initial assessments of software also show conceivable enhancements, especially in power-hungry and time-consuming cryptographic applications. Our work draws attention to low cost and power consumption while the principles of high performance and security prerequisites therefore deal with the urgent need for energy-efficient computing solutions in consumer electronics with the introduction of these advanced BMIs. By adopting the built-in benefits of RISC-VISA in conjunction with customized BMI extensions, we offer a feasible plan for the development of effective embedded systems that provide more computing power.

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Published
2024-10-04
DOI
https://doi.org/10.1109/i4c62240.2024.10748510
Primary Topic
CCD and CMOS Imaging Sensors
Type
article
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article

Implementation and Extension of Bit Manipulation Instruction on RISC-V Architecture using FPGA

Rajendra Prasad P, Ravi Kumar M G, Rashmi Priyadarshini B K, Mrinal Sarvagya et al.
CCD and CMOS Imaging Sensors
article

Implementation and Extension of Bit Manipulation Instruction on RISC-V Architecture using FPGA

Rajendra Prasad P, Ravi Kumar M G, Rashmi Priyadarshini B K, Mrinal Sarvagya, B N Sumanasa
article en

Abstract

The inclusion of Bit Manipulation Instructions (BMIs) has become more and more important as embedded systems continue to demand optimum performance together with a good energy economy. Although BMIs have been adopted by x86 and ARMv8 architectures to improve runtime efficiency and reduce power consumption, the RISC-V platform-which is preferred for its adaptability in embedded applications-has not been as successful in this area. Ten improved BMIs designed specifically for the RISC-V Instruction Set Architecture (ISA) are proposed in this work to close this gap. We synthesized a superior RISC-V architecture for the Zynq Board FPGA and TSMC 3nm platforms implementing the TSMC 3nm cell library. Initial assessments of software also show conceivable enhancements, especially in power-hungry and time-consuming cryptographic applications. Our work draws attention to low cost and power consumption while the principles of high performance and security prerequisites therefore deal with the urgent need for energy-efficient computing solutions in consumer electronics with the introduction of these advanced BMIs. By adopting the built-in benefits of RISC-VISA in conjunction with customized BMI extensions, we offer a feasible plan for the development of effective embedded systems that provide more computing power.

Acharya Nagarjuna University (IN), REVA University (IN)
Openalex Percentile: Top 82%
CCD and CMOS Imaging Sensors
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