Work

Runtime Code Generation and Data Management for Heterogeneous Computing in Java

Year: 2015

Type: conference-paper

Abstract: GPUs (Graphics Processing Unit) and other accelerators are nowadays commonly found in desktop machines, mobile devices and even data centres. While these highly parallel processors offer high raw performance, they also dramatically increase program complexity, requiring extra effort from programmers. This results in difficult-to-maintain and non-portable code due to the low-level nature of the languages used to program these devices.

DOI: 10.1145/2807426.2807428

Authors: Juan José Fumero, Toomas Remmelg, Michel Steuwer, Christophe Dubach

Institution: University of Edinburgh

Language: English

Topic: Parallel Computing and Optimization Techniques

Subfield: Hardware and Architecture

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

OpenAlex ID: W2192204489

FWCI: 1.677

Cites: 30

Cited by: 22

Related to: 10