GitHub

Variable Block Compressed Sparse Row (VBCSR) Matrix library with MPI support.

VBCSR is a high-performance distributed sparse matrix library designed for efficiency and ease of use. It combines the speed of optimized C++ kernels with the flexibility of Python.
EDN

Power Tips #149: Boosting EV charger efficiency and density with single-stage matrix converters

Understanding the benefits of matrix converters for EV chargers and a comparison of different matrix converter topologies.
IEEE

A Hardware-Efficient Sparse-Matrix Multiplier for Deep Learning Models Using CSR/CSC

Abstract: Deep learning models rely heavily on matrix multiplication, which is computationally expensive and memory-intensive. Sparse matrices, which contain a high proportion of zero elements, offer ...
IEEE

DenSparSA: A Balanced Systolic Array Approach for Dense and Sparse Matrix Multiplication

Abstract: Numerous studies have proposed hardware architectures to accelerate sparse matrix multiplication, but these approaches often incur substantial area and power overhead, significantly ...
GitHub

Predicting cellular responses to perturbation across diverse contexts with State

Train State transition models or pretrain State embedding models. See the State paper. See the Google Colab to train STATE for the Virtual Cell Challenge. To start an experiment, write a TOML file ...