Abstract: This paper investigates the impact of loop unrolling on CUDA matrix multiplication operations’ performance across NVIDIA GPUs. We benchmarked both basic and unrolled kernels with varying ...

Abstract: Deep neural networks (DNNs) have been widely applied in our society, yet reducing power consumption due to large-scale matrix computations remains a critical challenge. MADDNESS is a known ...

This interesting study adapts machine learning tools to analyze movements of a chromatin locus in living cells in response to serum starvation. The machine learning approach developed is useful, the ...

Found a bug, or would like to suggest a new feature? The best way is to let us know by raising an issue. Alternatively, please email Analysis Standards at Pipelines at the ONS (ASAP@ons.gov.uk), and ...

This framework provides fast keyboard layout evaluation using precomputed scoring tables across multiple metrics. It uses a two-phase approach: first generate comprehensive scoring tables for all ...