Abstract: To improve the performance of sparse Cholesky factorization, existing research divides the adjacent columns of the sparse matrix with the same nonzero patterns into supernodes for ...

Accurate and reliable detection of speech state transitions is a prerequisite for practical speech brain–computer interfaces (BCIs). While cortical language areas have been extensively studied, it ...

This is the official PyTorch implementation of RepLKNet, from the following CVPR-2022 paper: Scaling Up Your Kernels to 31x31: Revisiting Large Kernel Design in CNNs ...

Proteins play diverse roles in all domains of life and are extensively harnessed as biomolecules in biotechnology, with applications spanning from fundamental research to biomedicine. Therefore, there ...

Please follow the tutorial about installing Owl. You can also start by trying the docker images. Our mission is to push the frontier of high-performance scientific ...

Sugarcane is a crucial crop for sugar and bioenergy production. Saccharose content and total weight are the two main key commercial traits that compose sugarcane’s yield. These traits are under ...

Microbes—the most abundant organisms on Earth—form complex communities with a profound influence on many problems, from human health to ecosystem management. Understanding species interactions is of ...

Discovering nonlinear differential equations that describe system dynamics from empirical data is a fundamental challenge in contemporary science. While current methods can identify such equations, ...

The structure–activity relationship (SAR) matrix (SARM) methodology was originally developed to systematically extract structurally related compound series from data sets of any composition, visualize ...

A map can turn a flat table of coordinates into something you can read in seconds, and that is the real value of geospatial data visualization tools. They help you convert geographic data and ...

We present sparse identification of nonlinear dynamics with shallow recurrent decoders (SINDy-SHRED), which jointly solves the sensing, model reduction and model identification problem with simple ...

Abstract: This paper introduces a 3D-stacked logic-in-memory (LiM) system to accelerate the processing of sparse matrix data that is held in a 3D DRAM system. We build a customized content addressable ...