Paper Info
Title
A Capabilities-Aware Programming Model for Asymmetric High-End Systems
Abstract
In this research, we investigate and address the challenges of asymmetry in High-End Computing (HEC) systems comprising heterogeneous architectures with varying I/O and computation capacities. We focus on developing a flexible, scalable and easy-to-use programming model that automatically adapts to the capabilities of the system resources on largescale asymmetric clusters. Furthermore, we aim to develop innovative and efficient workload distribution techniques that bridge the asymmetry between system components. In particular, we intent to design tools and technologies that enable quick and efficient utilization of high-end asymmetric clusters in large-scale settings for modern scientific and enterprise computing.
Year
DOI
Venue
2010
10.1109/CCGRID.2010.131
Cluster, Cloud and Grid Computing
Keywords
Field
DocType
efficient utilization,asymmetric high-end systems,easy-to-use programming model,high-end computing,system resource,computation capacity,efficient workload distribution technique,capabilities-aware programming,system component,high-end asymmetric cluster,enterprise computing,largescale asymmetric cluster,computational modeling,cloud computing,distributed computing,multicore processing,high performance computing,scientific computing,grid computing,computer architecture,parallel programming,programming model,programming,acceleration,software architecture
Grid computing,Programming paradigm,Supercomputer,Computer science,Workload,Real-time computing,Software architecture,Multi-core processor,Cloud computing,Scalability,Distributed computing
Conference
ISBN
Citations 
PageRank 
978-1-4244-6987-1
0
0.34
References 
Authors
17
1
Name
Order
Citations
PageRank
M. Mustafa Rafique115715.49