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This paper presents a novel relaxed synchronization strategy for generic numerical algorithms executed in distributed and parallel computing systems. Large problems are efficiently solved if they can be parallelized. However, as the number of processing elements increases, the communication, necessary to synchronize intermediate computation across processing elements, increases and soon becomes a...
In the near future, massively parallel computing systems will be necessary to solve computation intensive applications. The key bottleneck in massively parallel implementation of numerical algorithms is the synchronization of data across processing elements (PEs) after each iteration, which results in significant idle time. Thus, there is a trend towards relaxing the synchronization and adopting an...
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