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Parallel garbage collection seeks to exploit the inherent parallelism of graph tracing by evenly distributing the set of objects in the heap among all available processing resources. Any straightforward implementation, however, suffers from prohibitive overheads since each access to the worklist of objects and to the objects themselves needs to be protected by synchronization, especially so in the...
Optimizing programs for Graphic Processing Unit (GPU) requires thorough knowledge about the values of architectural features for the new computing platform. However, this knowledge is frequently unavailable, e.g., due to insufficient documentation, which is probably a result of the infancy of general purpose computing on the GPU. What makes the modeling of program performance on GPU even more difficult...
This paper proposes a triangular solve algorithm with variable block size for graphics processing unit (GPU). By using diagonal blocks inversion with recursion, this algorithm works with tunable block size to achieve the best performance. Various methods are shown on how to make use of existing profiling tools to successfully measure and analyze performance of this algorithm. We use some of the most...
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