Work

PUMA-V: Optimizing Parallel Code Performance Through Interactive Visualization

Year: 2019

Type: article

Source: IEEE Computer Graphics and Applications

DOI: 10.1109/mcg.2018.2877113

Authors: Eric Papenhausen, M. Harper Langston, Benoit Meister, Richard Lethin, Klaus Mueller

Institutions: Stony Brook University, Reservoir Labs (United States)

Language: English

Topic: Parallel Computing and Optimization Techniques

Subfield: Hardware and Architecture

Field: Computer Science

Domain: Physical Sciences

Open Access status: closed

Funders: National Science Foundation, Ministry of Science, ICT and Future Planning

Awards: III: Small: Collaborative Research: ANTE - A Four-Tier Framework to Boost Visual Literacy for High Dimensional Data, G8062368548

OpenAlex ID: W2921052635

FWCI:

Cites: 23

Cited by: 1

Related to: 10