Work

MAETA: Identifying and Mitigating the Memory Bottleneck in Scientific ML Models through Execution Trace Analysis

Year: 2025

Type: conference-paper

Abstract: Just for SC25 AD/AE

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.15238363

Author: Gao, Shouwei

Language: English

Topic: Parallel Computing and Optimization Techniques

Subfield: Hardware and Architecture

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

OpenAlex ID: W6930465406

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