JOURNAL ARTICLE

CloudCL: Single-Paradigm Distributed Heterogeneous Computing for Cloud Infrastructures

Max PlauthFlorian RöslerAndreas Polze

Year: 2018 Journal:   International Journal of Networking and Computing Vol: 8 (2)Pages: 282-301

Abstract

The ever-growing demand for compute resources has reached a wide range of application domains, and with that has created a larger audience for compute-intensive tasks. In this paper, we present the CloudCL framework, which empowers users to run compute-intensive tasks without having to face the total cost of ownership of operating an extensive high-performance compute infrastructure. CloudCL enables developers to tap the ubiquitous availability of cloud-based heterogeneous resources using a single-paradigm compute framework, without having to consider dynamic resource management and inter-node communication. In an extensive performance evaluation, we demonstrate the feasibility of the framework, yielding close-to-linear scale-out capabilities for certain workloads.

Keywords:
Computer science Cloud computing Distributed computing Node (physics) Resource (disambiguation) Range (aeronautics) Computer network Operating system

Metrics

2
Cited By
0.89
FWCI (Field Weighted Citation Impact)
10
Refs
0.80
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Cloud Computing and Resource Management
Physical Sciences →  Computer Science →  Information Systems
Distributed and Parallel Computing Systems
Physical Sciences →  Computer Science →  Computer Networks and Communications
Scientific Computing and Data Management
Social Sciences →  Decision Sciences →  Information Systems and Management

Related Documents

© 2026 ScienceGate Book Chapters — All rights reserved.