Guided self-scheduling: A practical scheduling scheme for parallel supercomputers
IEEE Transactions on Computers
Factoring: a method for scheduling parallel loops
Communications of the ACM
Trapezoid Self-Scheduling: A Practical Scheduling Scheme for Parallel Compilers
IEEE Transactions on Parallel and Distributed Systems
A Class of Loop Self-Scheduling for Heterogeneous Clusters
CLUSTER '01 Proceedings of the 3rd IEEE International Conference on Cluster Computing
Locality and Loop Scheduling on NUMA Multiprocessors
ICPP '93 Proceedings of the 1993 International Conference on Parallel Processing - Volume 02
Frugal linear network-based test decompression for drastic test cost reductions
Proceedings of the 2004 IEEE/ACM International conference on Computer-aided design
Scalable loop self-scheduling schemes for heterogeneous clusters
International Journal of Computational Science and Engineering
Loosely-coupled loop scheduling in computational grids
IPDPS'06 Proceedings of the 20th international conference on Parallel and distributed processing
Dynamic multi phase scheduling for heterogeneous cluste
IPDPS'06 Proceedings of the 20th international conference on Parallel and distributed processing
Using analytical models to load balancing in a heterogeneous network of computers
PaCT'07 Proceedings of the 9th international conference on Parallel Computing Technologies
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Cluster system is viable and less expensive alternative to SMP. However, the approaches to deal with scheduling and load balancing on heterogeneous cluster computer system are not mature. Self-scheduling schemes which are suitable for parallel loops with independent iterations on heterogeneous cluster computer system have been designed in the past. However, these schemes, such as FSS, GSS and TSS, can not achieve load balancing in extremely heterogeneous environment. In this paper, we propose a heuristic approach to solve parallel regular loop scheduling problem on extremely heterogeneous PC cluster environment.