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| Main Authors: | , , , , , , , , , , |
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| Format: | Recurso digital |
| Language: | |
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Zenodo
2026
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| Online Access: | https://doi.org/10.5281/zenodo.19444241 |
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Table of Contents:
- <div> <div dir="ltr"> <p>This repository provides the official implementation and artifacts for the ISCA 2026 paper "EVA: Recasting LLM Decoding into GEMM via an Efficient Vector Quantization Architecture."</p> <p>This release corresponds to the artifact-evaluated version of the codebase. It includes all scripts, configuration files, and Jupyter notebooks required to reproduce the hardware performance and algorithm accuracy results reported in the paper.</p> </div> </div>