Work

Quantitative Overhead Analysis for Python

Year: 2018

Type: conference-paper

Source: IEEE International Symposium on Workload Characterization

DOI: 10.1109/iiswc.2018.8573512

Authors: Mohamed Ismail, G. Edward Suh

Institution: Cornell University

Language: English

Topic: Parallel Computing and Optimization Techniques

Subfield: Hardware and Architecture

Field: Computer Science

Domain: Physical Sciences

Open Access status: closed

Funder: Office of Naval Research

OpenAlex ID: W2905157839

FWCI: 1.653

Cites: 40

Cited by: 28

Related to: 10