In the field of data science and engineering, tensors have become an essential tool for representing and analyzing ...

What if a century-old computing concept suddenly leapfrogged the most advanced GPUs on the planet? That’s exactly what researchers at Peking University have demonstrated with a new analog processor ...

Analog computers are systems that perform computations by manipulating physical quantities such as electrical current, that ...

PyGinkgo is a Python binding for the Ginkgo framework, providing access to Ginkgo's powerful linear algebra capabilities from Python.

These simple operations and others are why NumPy is a building block for statistical analysis with Python. NumPy also makes ...

Abstract: Algorithmic dispatch is essential for performance in linear-algebra–intensive systems. A persistent challenge lies in the treatment of structured matrices. Although such matrices are often ...

Ask the publishers to restore access to 500,000+ books. Can You Chip In? We’re celebrating our 1 trillionth archived web page. If you find our library useful, learn how you can help us fundraise! Can ...

Suite of tools for deploying and training deep learning models using the JVM. Highlights include model import for keras, tensorflow, and onnx/pytorch, a modular and tiny c++ library for running math ...

Abstract: Iterative linear solvers are a crucial kernel in many numerical analysis problems. The performance and energy efficiency of iterative solvers based on traditional architectures are severely ...

The syllabus of the GATE 2026 Chemical Engineering (CH) exam consists of nine sections: Engineering Mathematics, Process Calculations and Thermodynamics, Fluid Mechanics and Mechanical Operations, ...