Array programming provides a powerful, compact and expressive syntax for accessing,
manipulating and operating on data in vectors, matrices and higher-dimensional arrays …

Abstract The Chronus Quantum (ChronusQ) software package is an open source (under the
GNU General Public License v2) software infrastructure which targets the solution of …

Geostatistical data—spatially referenced observations related to some continuous spatial
phenomenon—are ubiquitous in ecology and can reveal ecological processes and inform …

A common goal of microbiome studies is the elucidation of community composition and
member interactions using counts of taxonomic units extracted from sequence data …

Basic Liner algebra subprograms (BLAS) is a fundamental library in scientific computing. In
this paper, we present a template-based optimization framework, AUGEM, which can …

A growing number of commercial and enterprise systems increasingly rely on compute-
intensive Machine Learning (ML) algorithms. While the demand for these compute-intensive …

Important workloads, such as machine learning and graph analytics applications, heavily
involve sparse linear algebra operations. These operations use sparse matrix compression …

Changes in gene expression can help reveal the mechanisms of disease processes and the
mode of action for toxicities and adverse effects on cellular responses induced by exposures …

Convolutional Neural Networks (CNNs) have gained significant traction in the field of
machine learning, particularly due to their high accuracy in visual recognition. Recent works …

BLIS is a new framework for rapid instantiation of the BLAS. We describe how BLIS extends
the" GotoBLAS approach" to implementing matrix multiplication (GEMM). While GEMM was …