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Influence based bit-quantization for machine learning: Cost Quality Tradeoffs
Due to the significant computational cost associated with machine learning architectures such as neural networks or network for short, there has been significant interest in quantizing or reducing the number of bits used. ...
Automatic Matrix Format Exploration for Large Scale Linear Algebra
The input of a linear algebra (LA) operation, such as matrices and vectors, could be stored in multiple ways: rows/columns, strips, blocks, etc. Usually, it is very difficult for a programmer to figure out the proper format ...
Simultaneous SNV calling and Phylogenetic Inference for Single-cell Sequencing Data
Single-cell sequencing provides a powerful approach for elucidating intratumor heterogeneity by resolving cell-to-cell variability. However, it also poses additional challenges including elevated error rates, allelic ...