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The proposed DistSpMM proposes DistSpMM, a co-design framework integrating data layout, pipelining, and communication strategies, which introduces HSDMA, a lightweight algorithm that reduces communication by optimizing the dense matrix allocation.
Vadar adopts a non-intrusive dynamic interception mechanism to monitor parallel applications with state transition detection to cope with workload change at runtime, and provides comprehensive monitoring for both regular and irregular computational workloads.
Irregular workloads challenge GPUs with small tasks, unpredictable branching, and uneven load distribution. Quantum perturbation theory and Density Functional Theory (DFT) represent a prominent example, where such irregular patterns arise in large-scale simulations of materials and molecules. Despite recent efforts to...
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