QuatIca was inspired by the pioneering work in quaternion linear algebra, particularly the QTFM (Quaternion Toolbox for MATLAB) developed by Stephen J. Sangwine and Nicolas Le Bihan. Their ...

Hardware engineers have long struggled with the gap between architectural intent and RTL implementation. The question: how do you validate that a design works before committing to Verilog? C models ...

We continue our journey into Artificial Neural Networks (ANNs) before moving on to Recurrent Neural Networks (RNNs), Long Short-Term Memory Networks (LSTMs), and Transformers in the following series ...

Faster training of neural networks is crucial for effective deep learning. Multi-GPU training significantly enhances the speed of neural network learning. Let's start by discussing how Multi-GPU ...

The spatiotemporal organization of chromatin influences many nuclear processes: from chromosome segregation to transcriptional regulation. To get a deeper understanding of these processes, it is ...

This repository implements the Householder transformation algorithm for calculating orthogonal matrices and orthonormal frames. The algorithm is implemented as a Python package with differentiable ...

We strongly encourage our users to refer to the latest copy of the libflame user's guide for installation instructions and API reference. FLAME is a methodology for developing dense linear algebra ...