Work

Effects of source-code optimizations on GPU performance and energy consumption

Year: 2015

Type: conference-paper

DOI: 10.1145/2716282.2716292

Authors: Jared Coplin, Martin Burtscher

Institution: Texas State University

Language: English

Topic: Parallel Computing and Optimization Techniques

Subfield: Hardware and Architecture

Field: Computer Science

Domain: Physical Sciences

SDG: Affordable and clean energy

Open Access status: closed

Funders: National Science Foundation, Nvidia, Texas State University, International Max Planck Research School for Advanced Methods in Process and Systems Engineering

Award: Preparing Computer Science Students for the Multicore Era: Teaching Parallel Computing in the Undergraduate Curriculum Early and Often

OpenAlex ID: W2106938618

FWCI: 1.763

Cites: 19

Cited by: 17

Related to: 10