Telecommunication networks: protocols, modeling and analysis
Telecommunication networks: protocols, modeling and analysis
Guided self-scheduling: A practical scheduling scheme for parallel supercomputers
IEEE Transactions on Computers
Ray tracing on a connection machine
ICS '88 Proceedings of the 2nd international conference on Supercomputing
C3P Proceedings of the third conference on Hypercube concurrent computers and applications - Volume 2
An introduction to ray tracing
An introduction to ray tracing
Parallel processing for computer graphics
Parallel processing for computer graphics
Stochastic ray tracing using SIMD processor arrays
The Visual Computer: International Journal of Computer Graphics
Factoring: a practical and robust method for scheduling parallel loops
Proceedings of the 1991 ACM/IEEE conference on Supercomputing
Parallel image processing applications on a network of workstations
Parallel Computing
Parallel stereocorrelation on a reconfigurable multi-ring network
The Journal of Supercomputing - Special issue on parallel and distributed processing
Trapezoid Self-Scheduling: A Practical Scheduling Scheme for Parallel Compilers
IEEE Transactions on Parallel and Distributed Systems
The Scalability of FFT on Parallel Computers
IEEE Transactions on Parallel and Distributed Systems
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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. We were successful in illustrating the effect of major factors on the performance and scalability of a cluster of workstations connected by an Ethernet network. Moreover, our analytical model was accurate enough to agree closely with the experimental results. Thus, we feel that such an investigation would be helpful in understanding the strengths and weaknesses of an Ethernet cluster of workstation in the execution of parallel applications.