Scheduling precedence graphs in systems with interprocessor communication times
SIAM Journal on Computing
Towards an architecture-independent analysis of parallel algorithms
SIAM Journal on Computing
LogP: towards a realistic model of parallel computation
PPOPP '93 Proceedings of the fourth ACM SIGPLAN symposium on Principles and practice of parallel programming
IEEE Transactions on Parallel and Distributed Systems
Benchmarking and comparison of the task graph scheduling algorithms
Journal of Parallel and Distributed Computing
Static scheduling algorithms for allocating directed task graphs to multiprocessors
ACM Computing Surveys (CSUR)
List scheduling of general task graphs under LogP
Parallel Computing - Special issue on new trends on scheduling in parallel and distributed systems
Performance-Effective and Low-Complexity Task Scheduling for Heterogeneous Computing
IEEE Transactions on Parallel and Distributed Systems
Simgrid: A Toolkit for the Simulation of Application Scheduling
CCGRID '01 Proceedings of the 1st International Symposium on Cluster Computing and the Grid
A Dynamic Matching and Scheduling Algorithm for Heterogeneous Computing Systems
HCW '98 Proceedings of the Seventh Heterogeneous Computing Workshop
LDBS: A Duplication Based Scheduling Algorithm for Heterogeneous Computing Systems
ICPP '02 Proceedings of the 2002 International Conference on Parallel Processing
Hybrid Task Scheduling: Integrating Static and Dynamic Heuristics
SBAC-PAD '03 Proceedings of the 15th Symposium on Computer Architecture and High Performance Computing
Concurrency and Computation: Practice & Experience - Middleware for Grid Computing
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One of the objectives of computational grids is to offer applications the collective computational power of distributed but typically shared heterogeneous resources. Unfortunately, efficiently harnessing the performance potential of such systems (i.e. how and where applications should execute on the grid) is a challenging endeavor due principally to the distributed, shared and heterogeneous nature of the resources involved. This paper presents a tool to aid the design and evaluation of scheduling policies suitable for efficient execution of parallel applications on computational grids.