Enhancing Performance with Floating-Point Instruction Integration in RISC-V Architectures

Karthik Wali

doi:10.71097/IJAIDR.v14.i2.1468

Enhancing Performance with Floating-Point Instruction Integration in RISC-V Architectures

Author(s)	Karthik Wali
Country	United States
Abstract	The RISC-V instruction set architecture, an open-source instruction set architecture (ISA), has received widespread attention due to its extensibility and flexibility, allowing numerous customizations to be made for meeting particular hardware and application needs. Although it has numerous benefits, the RISC-V base instruction set does not provide the optimization required for floating-point arithmetic, a function critical for computationally demanding applications in fields like scientific computing, machine learning, and digital signal processing. This paper presents the issue of improving floating-point performance for RISC-V processors by embedding dedicated floating-point instructions and balancing hardware and software elements. In this paper, we introduce a methodology to enhance the efficiency of floating-point computations in RISC-V processors through the inclusion of custom floating-point units (FPUs), the use of vector extensions for parallel computing, and the application of advanced compiler methods for instruction scheduling and optimization. The study is based on the effect of these improvements on the performance of the processor, as evaluated through a variety of floating-point-heavy benchmarks such as matrix multiplication, Fast Fourier Transform (FFT), and scientific simulations. Our strategy is to enhance the core RISC-V architecture with a high-performance FPU that can efficiently support both single-precision and double-precision floating-point operations. We also investigate the inclusion of vector processing units to take advantage of data-level parallelism present in floating-point operations, which is especially useful in computationally intensive applications like machine learning and scientific computations. Compiler-level software optimizations are also included to enhance instruction scheduling and reduce idle cycles in the pipeline. The findings of this research exhibit a dramatic boost in floating-point operation performance with as much as a 40% decrease in execution time for important benchmarks. These improvements came without sacrificing power efficiency, an important consideration in embedded and mobile computing applications. The results indicate that by combining support for advanced floating-point instructions and hardware and software optimization, RISC-V processors can be rendered competitive in high-performance and embedded computing domains where floating-point computation is dominant. This paper offers a thorough assessment of these performance gains and presents useful insights into the viability of adding support for advanced floating-point in RISC-V processors. We present the trade-offs in power consumption, design complexity, and silicon area, presenting a balanced perspective of the potential advantages and difficulties involved with these optimizations. The research concludes that with the appropriate mix of hardware and software methods, RISC-V can be efficiently optimized for floating-point operations and is a good candidate for future high-performance computing systems.
Field	Engineering
Published In	Volume 14, Issue 2, July-December 2023
Published On	2023-07-07
Cite This	Enhancing Performance with Floating-Point Instruction Integration in RISC-V Architectures - Karthik Wali - IJAIDR Volume 14, Issue 2, July-December 2023. DOI 10.71097/IJAIDR.v14.i2.1468
DOI	https://doi.org/10.71097/IJAIDR.v14.i2.1468
Short DOI	https://doi.org/g9q34z

View / Download PDF File

doi

CrossRef DOI is assigned to each research paper published in our journal.

IJAIDR DOI prefix is
10.71097/IJAIDR

Downloads

Research Paper Format Copyright Permission Form and Undertaking Form Cover Page Vol 15 Isu 2 Cover Page Vol 15 Isu 1 Cover Page Vol 14 Isu 2

All research papers published on this website are licensed under Creative Commons Attribution-ShareAlike 4.0 International License, and all rights belong to their respective authors/researchers.

CC-BY-SA

About IJAIDR Fees & Payment Current Issue Publication Archive	Submit Research Paper Track Submission Status Publication Guidelines Publication Ethics Peer Review & Plagiarism	Join as a Reviewer Editors & Reviewers Reviewer Referral Program Get Reviewer Membership Certi.	Website/Journal Policies Usage Policy Content Policies Privacy Policy

Contact Us	Message on WhatsApp	+91-9687-182-185	editor@ijaidr.com

Journal of Advances in Developmental Research

A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal

Enhancing Performance with Floating-Point Instruction Integration in RISC-V Architectures

Share this