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High-Performance Gemmini-Based Matrix Multiplication Accelerator for Deep Learning Workloads

Year: 2025

Type: article

Source: IEEE Transactions on Very Large Scale Integration (VLSI) Systems

DOI: 10.1109/tvlsi.2025.3605207

Authors: Anurag Sharma, L. Hemanth Krishna, B. Srinivasu

Institution: Indian Institute of Technology Mandi

Language: English

Topic: Parallel Computing and Optimization Techniques

Subfield: Hardware and Architecture

Field: Computer Science

Domain: Physical Sciences

SDG: Industry, innovation and infrastructure

Open Access status: closed

Funder: Indian Institute of Technology Mandi

OpenAlex ID: W4414165765

FWCI: 1.413

Cites: 50

Cited by: 2

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