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Investigate strategies to accelerate software development using RISC-V Vector Extension and cloud-based FPGAs.

April 17, 2026Open Access

Accelerating software development for emerging ISA extensions with cloud-based FPGAs: RVV case study

Key Points

Investigate strategies to accelerate software development using RISC-V Vector Extension and cloud-based FPGAs.
Analyze performance differences among various algorithmic approaches.
Utilize FireSim for software and hardware simulation.
Implement RVV instructions into the pixman project through vectorization.
Demonstrated faster iteration cycles in the development process.
Highlighted the efficacy of cloud-based FPGA for optimizing RISC-V extensions.

Abstract

The RISC-V Vector Extension (RVV) promises an enhanced performance and power efficiency across various complex computational tasks. However, the efficient utilization of RVV demands careful consideration of the optimization approach. This article examines strategies for accelerating this process. Key challenges include assessing performance differences among algorithmic approaches and overcoming initial hardware constraints. FireSim provides a comprehensive solution by offering advanced software and hardware simulation capabilities. Utilizing FireSim, we started the process of enhancing source code with RVV instructions (called vectorization) for the pixman project. Our experience outlines the efficacy of a cloud-based FPGA simulation in expediting software development for emerging ISA extensions. Overall, FireSim facilitates faster iteration cycles and informed design decisions, benefiting individual developers and fostering collaboration in remote teams. Presentation recording: https: //youtu. be/04YZcZ8Eⱼg

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Cite This Study

Pikuła et al. (Sat,) studied this question.

synapsesocial.com/papers/69e1cfcb5cdc762e9d858d32 https://doi.org/https://doi.org/10.5281/zenodo.19599350

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