The tiling algorithm for matrix multiplication is a technique that illustrates how to leverage the memory hierarchy to speed up memory-bound operations. At a high level the idea is simple: move blocks ...

About a year ago, an AI startup known as Recogni announced a patented number system for AI math, known as Pareto. Pareto is a logarithmic system, meaning that it stores numbers using their logarithmic ...

nvmath-python brings the power of the NVIDIA math libraries to the Python ecosystem. The package aims to provide intuitive pythonic APIs giving users full access to all features offered by NVIDIA's ...

A handy open source tool for packaging up LLMs into single universal chatbot executables that are easy to distribute and run has apparently had a 30 to 500 percent CPU performance boost on x86 and Arm ...

They had to throw away most of what it produced but there was gold among the garbage. Google DeepMind has used a large language model to crack a famous unsolved problem in pure mathematics. In a paper ...

In this article I will try to present an example of how to calculate Delta Capital Charge(Standardized Approach) for equity class using Python. Under banking book, we will have different different ...

The newly unveiled Mojo language is being promoted as the best of multiple worlds: the ease of use and clear syntax of Python, with the speed and memory safety of Rust. Those are bold claims, and ...

This repository includes a pure Vitis HLS implementation of matrix-matrix multiplication (A*B=C) for Xilinx FPGAs, using Xilinx Vitis to instantiate memory and PCIe controllers and interface with the ...

Improving the efficiency of algorithms for fundamental computations can have a widespread impact, as it can affect the overall speed of a large amount of computations. Matrix multiplication is one ...

Matrix-vector multiplications form the core of a plethora of scientific computing and machine learning applications that include solving partial differential equations, forward and back propagation in ...