Name
Abstract | ||
|---|---|---|
Parallel computing on clusters of workstations is receiving much attention from the research community. Unfortunately, many aspects of parallel computing over this parallel computing engine is not very well understood. Some of these issues include the workstation architectures, the network protocols, the communication-to-computation ratio, the load balancing strategies, and the data partitioning schemes. The aim of this paper is to assess the strengths and limitations of a cluster of workstations by capturing the effects of the above issues. This has been achieved by evaluating the performance of this computing environment in the execution of a parallel ray tracing application through analytical modeling and extensive experimentation. |
Year | DOI | Venue |
|---|---|---|
1997 | 10.1109/ICPADS.1997.652601 | ICPADS |
Keywords | Field | DocType |
research community,workstation architecture,parallel ray,computing environment,network protocol,analytical modeling,parallel computing,communication-to-computation ratio,extensive experimentation,parallel computing engine,computer architecture,performance,network protocols,parallel processing,ray tracing,concurrent computing,engines,load balance,resource allocation,workstations,protocols,parallel computer | Data-intensive computing,Computer science,Load balancing (computing),Massively parallel,Ray tracing (graphics),Parallel computing,Embarrassingly parallel,Workstation,Resource allocation,Distributed computing,Communications protocol | Conference |
ISBN | Citations | PageRank |
0-8186-8227-2 | 0 | 0.34 |
References | Authors | |
3 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Mounir Hamdi | 1 | 847 | 94.24 |
| Yi Pan | 2 | 2507 | 203.23 |
| Hamidzadeh Babak | 3 | 184 | 24.99 |
| F. M. Lim | 4 | 1 | 0.72 |