Paper Info
Title
On Virtualization of Reconfigurable Hardware in Distributed Systems
Abstract
In the design of next-generation distributed and high-performance computing systems, Reconfigurable Processing Elements (RPEs) such as FPGAs and multi-core heterogeneous computers will play an important role. FPGAs are well-known for their programmability, power efficiency, reasonably high performance, functional flexibility, and their scalability. However, proper virtualization schemes at higher software abstraction layers to utilize these RPEs are under research. In this paper, we propose a virtualization framework for distributed computing systems that supports RPEs. First, we present various scenarios in terms of use-cases to discuss the utilization of RPEs in distributed computing systems. Secondly, we propose a scheme to virtualize RPEs in distributed systems. Based on various virtualization levels, we provide a general model for a computing node which incorporates both General Purpose Processors (GPPs) and RPEs. Thirdly, we present a typical application task model. Finally, we present a case study of a large-scale application from the bioinformatics domain, which demands different types of processing elements in a distributed computing system.
Year
DOI
Venue
2012
10.1109/ICPPW.2012.51
ICPP Workshops
Keywords
Field
DocType
general model,general purpose processors,various virtualization level,reconfigurable hardware,typical application task model,high-performance computing system,large-scale application,various scenario,virtualization framework,proper virtualization scheme,computing node,bioinformatics,parallel processing,virtual machines,hardware,grid computing,use case scenarios,field programmable gate arrays,digital signal processing,virtualisation
Virtualization,Grid computing,Virtual machine,Use case,Computer science,Parallel computing,Field-programmable gate array,Software,Reconfigurable computing,Scalability,Distributed computing
Conference
Citations 
PageRank 
References 
0
0.34
12
Authors
3
Name
Order
Citations
PageRank
M. Faisal Nadeem1202.88
M. Nadeem241.17
Stephan Wong344334.14