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Many multiprocessor systems are based on distributed shared memory. It is often important to statically bind threads to processors in order to avoid remote memory access, due to performance. Finding a good allocation takes long time and it is hard to know when to stop searching for a better one. It is sometimes impossible to run the application on the target machine. The developer needs a tool that...
. Most cluster systems used in high performance computing do not allow process relocation at run-time. Finding an allocation that results in minimal completion time is NP-hard and (non-optimal) heuristic algorithms have to be used. One major drawback with heuristics is that we do not know if the result is close to optimal or not. Here, we present a method for finding an upper bound on the minimal...
Efficient performance tuning of parallel programs is often hard. Optimization is often done when the program is written as a last effort to increase the performance. With sequential programs each (executed) code segment will affect the completion time. In the case of a parallel program executed on a multiprocessor this is not always true, due to dependencies between the different threads. Thus, certain...
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