Abstract: Modern central processing units (CPUs) feature single-instruction, multiple-data pipelines to accelerate compute-intensive floating-point and fixed-point workloads. Traditionally, these ...
Abstract: Structured sparsity has been proposed as an efficient way to prune the complexity of Machine Learning (ML) applications and to simplify the handling of sparse data in hardware. Accelerating ...
general m,n modified Rutherford equation analysis w. cross-field transport stabilisation rotational shear decorrelation timescales multiple-code 𝚫’ values for robustness multi-CPU parallelization ...
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