Abstract: Matrix computation is ubiquitous in modern scientific and engineering fields. Due to the high computational complexity in conventional digital computers, matrix computation represents a ...

Abstract: In-memory computing is an emerging computing paradigm that overcomes the limitations of exiting Von-Neumann computing architectures such as the memory-wall bottleneck. In such paradigm, the ...

OCEAN is a very powerful tool which can do everything you do using the GUI of virtuoso. It can create, simulate and process the netlist in a batch mode which can highly accelerate the simulation, ...

Engineering Research Center of Ministry of Education for Financial Computing and Digital Engineering, Renmin University of China, Beijing, China. LDPC code is a ...

Deep learning has become a widespread tool in both science and industry. However, continued progress is hampered by the rapid growth in energy costs of ever-larger deep neural networks. Optical neural ...

In recent years, multivariate pattern analysis (MVPA) has been hugely beneficial for cognitive neuroscience by making new experiment designs possible and by increasing the inferential power of ...

One specific goal of the open source basketball analytics machine learning project is to provide a mini-map of the players. Basically a top-down view of the court with the different players ...

This tutorial shows step-by-step how to create an R and Python package which performs a naive matrix multiplication which uses just three for-loops. However, at each step more and more efficient low ...