Add to ORKGRecently we proposed algorithms for concurrent execution on multiple clusters [11]. In this case, data partitioning is done at two levels; first, the data is distributed to a collection of heterogeneous parallel systems with different resources and startup time, then, on each system the data is evenly partitioned to the available nodes. In this paper, we report on a simulation study of the algorithms. © 2007 IEEE
In systems consisting of multiple clusters of processors interconnected by relatively slow network c...
The current state and foreseeable future of high performance scientific computing (HPC) can be descr...
none4noParallel and distributed simulations enable the analysis of complex systems by concurrently e...
Recently we proposed algorithms for concurrent execution on multiple clusters [11]. In this case, da...
In multiprocessor systems, data parallelism is the execution of the same task on data distributed ac...
6th International Symposium on Parallel and Distributed Computing, 2007 (ISPDC 2007), Hagenberg, Aus...
Existing partitioning algorithms provide limited support for load balancing simulations that are per...
Existing partitioning algorithms provide limited support for load balancing simulations that are per...
International audienceThe aim of the paper is to introduce general techniques in order to optimize t...
Abstract Existing partitioning algorithms provide limited support for load balancing simulations tha...
Dynamically allocating computing nodes to parallel applications is a promising technique for improvi...
Abstract. The paper presents a new data partitioning algorithm for parallel computing on heterogeneo...
One approach to accelerate a simulation of digital circuits described in VHDL is a distributed simul...
AbstractDynamically allocating computing nodes to parallel applications is a promising technique for...
Parallel computing hardware is affordable and accessible, yet parallel programming is not as widespr...
In systems consisting of multiple clusters of processors interconnected by relatively slow network c...
The current state and foreseeable future of high performance scientific computing (HPC) can be descr...
none4noParallel and distributed simulations enable the analysis of complex systems by concurrently e...
Recently we proposed algorithms for concurrent execution on multiple clusters [11]. In this case, da...
In multiprocessor systems, data parallelism is the execution of the same task on data distributed ac...
6th International Symposium on Parallel and Distributed Computing, 2007 (ISPDC 2007), Hagenberg, Aus...
Existing partitioning algorithms provide limited support for load balancing simulations that are per...
Existing partitioning algorithms provide limited support for load balancing simulations that are per...
International audienceThe aim of the paper is to introduce general techniques in order to optimize t...
Abstract Existing partitioning algorithms provide limited support for load balancing simulations tha...
Dynamically allocating computing nodes to parallel applications is a promising technique for improvi...
Abstract. The paper presents a new data partitioning algorithm for parallel computing on heterogeneo...
One approach to accelerate a simulation of digital circuits described in VHDL is a distributed simul...
AbstractDynamically allocating computing nodes to parallel applications is a promising technique for...
Parallel computing hardware is affordable and accessible, yet parallel programming is not as widespr...
In systems consisting of multiple clusters of processors interconnected by relatively slow network c...
The current state and foreseeable future of high performance scientific computing (HPC) can be descr...
none4noParallel and distributed simulations enable the analysis of complex systems by concurrently e...