You can stop looking for glitches in the Matrix—it’s finally been proven that our universe is not merely a simulation running on some powerful alien civilization’s supercomputer. An international team ...

This paper came across my feed that implements sparse matrix-vector multiplication. Sparse matrix-vector multiplication (SpMV) is a fundamental operation in scientific computing, data analysis, and ...

eSpeaks’ Corey Noles talks with Rob Israch, President of Tipalti, about what it means to lead with Global-First Finance and how companies can build scalable, compliant operations in an increasingly ...

A monthly overview of things you need to know as an architect or aspiring architect. Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with ...

Theoretical computer scientists are always probing the relationship of space (memory) and time. For 50 years, experts knew that a calculation of X steps required X/log X memory slots, but a new study ...

ZTEM (Z-Axis Tipper Electromagnetic System) is a frequency-domain airborne electromagnetic exploration method that utilizes natural field sources. This method is highly efficient and capable of ...

The world of scientific computing and machine learning heavily relies on tensor computations. Many tensors encountered in physics, chemistry, linear algebra, and graph theory exhibit symmetry and ...

Abstract: Sparse Matrix-Matrix Multiplication (SpMM) and Generalized Sparse Matrix-Matrix Multiplication (SpGEMM) are essential computational kernels in domains such as graph analytics and scientific ...