Work

A Rigorous Benchmarking and Performance Analysis Methodology for Python Workloads

Year: 2020

Type: conference-paper

Source: IEEE International Symposium on Workload Characterization

DOI: 10.1109/iiswc50251.2020.00017

Authors: Arthur Crape, Lieven Eeckhout

Institution: Ghent University

Language: English

Topic: Parallel Computing and Optimization Techniques

Subfield: Hardware and Architecture

Field: Computer Science

Domain: Physical Sciences

Open Access status: closed

Funders: Fonds Wetenschappelijk Onderzoek, H2020 European Research Council

Awards: Load Slice Core: A Power and Cost-Efficient Microarchitecture for the Future, Just-in-Time Data Structures, G7900900813

OpenAlex ID: W3108349989

FWCI: 0.653

Cites: 27

Cited by: 15

Related to: 10