Noncontiguous Processor Allocation Algorithms for Mesh-Connected Multicomputers
IEEE Transactions on Parallel and Distributed Systems
The impact of spatial layout of jobs on parallel I/O performance
Proceedings of the sixth workshop on I/O in parallel and distributed systems
An Efficient Recognition-Complete Processor Allocation Strategy for k-ary n-cube Multiprocessors
IEEE Transactions on Parallel and Distributed Systems
An efficient non-contiguous processor allocation strategy for 2D mesh connected multicomputers
Information Sciences: an International Journal
Comparative evaluation of contiguous allocation strategies on 3D mesh multicomputers
Journal of Systems and Software
Communication-aware processor allocation for supercomputers
WADS'05 Proceedings of the 9th international conference on Algorithms and Data Structures
A performance comparison of the contiguous allocation strategies in 3D mesh connected multicomputers
ISPA'07 Proceedings of the 5th international conference on Parallel and Distributed Processing and Applications
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ProcSimity is a software tool that supports research in processor allocation and scheduling for highly parallel systems. ProcSimity's multicomputer simulator supports experimentation with selected allocation and scheduling algorithms on architectures with a range of network topologies and for several current routing and flow control mechanisms. Message-passing can be simulated in detail at the flit level or at a higher level of modeling. Our tool supports both stochastic job streams as well as communication patterns from actual parallel applications, including several of the NAS parallel benchmarks. ProcSimity's visualisation and performance analysis tool allows the user to view a dynamic animation of the selected algorithms as well as a variety of system and job level performance metrics. ProcSimity has been successfully used in experiments investigating the feasibility of non-contiguous processor allocation in meshes and k-ary n-cubes.