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arXiv · 2508.14899

Accelerating GenAI Workloads by Enabling RISC-V Microkernel Support in IREE

Adeel Ahmad·Ahmad Tameem Kamal·Nouman Amir·Bilal Zafar·Saad Bin Nasir
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Abstract

This project enables RISC-V microkernel support in IREE, an MLIR-based machine learning compiler and runtime. The approach begins by enabling the lowering of MLIR linalg dialect contraction ops to linalg.mmt4d op for the RISC-V64 target within the IREE pass pipeline, followed by the development of optimized microkernels for RISC-V. The performance gains are compared with upstream IREE and Llama.cpp for the Llama-3.2-1B-Instruct model.

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Adeel Ahmad, Ahmad Tameem Kamal, Nouman Amir, Bilal Zafar, Saad Bin Nasir. 2025-07-07. Accelerating GenAI Workloads by Enabling RISC-V Microkernel Support in IREE. https://arxiv.org/abs/2508.14899

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