Scientific American

Mathematicians still don’t know the fastest way to multiply numbers

This requires an algorithm: students are taught to stack one number atop another and multiply each digit of the bottom number ...
Microsoft

Compiling Strassen-like Matrix Multiplication Algorithms to Fast CUDA Kernels

Matrix multiplication is a key operation in scientific computing and machine learning, with GPU libraries like NVIDIA Cutlass and cuBLAS providing optimized implementations of the three nested loop ...
marktechpost

NVIDIA cuTile Python Tutorial: Building Tiled GPU Kernels for Vector Addition, Matrix Addition, and Matrix Multiplication in Colab

In this tutorial, we implement an advanced hands-on workflow for NVIDIA cuTile Python, a tile-based GPU programming interface for writing efficient CUDA-style kernels directly in Python. We start by ...
InfoWorld

The best new features in Python 3.15

Highlights of Python 3.15, now available in beta, include lazy imports, faster JITs, better error messages, and smarter profiling. The first full beta of Python 3.15 ...
Hosted on MSN

How to add, subtract, multiply and divide fractions, 2/3 + 3/5

👉 Learn how to add and subtract fractions whose denominators are not the same. Recall that when we want to add or subtract fractions having the same denominator, we add the numerators and retain the ...
The Next Web

Google’s new compression algorithm cut memory stocks within hours of publication

Google published a research blog post on Tuesday about a new compression algorithm for AI models. Within hours, memory stocks were falling. Micron dropped 3 per cent, Western Digital lost 4.7 per cent ...
GitHub

Code Description for Matrix Sparsity-Based Pauli Decomposition (Python Version)

This document is designed to help users quickly understand, use, and maintain the Python implementation of the Matrix-Sparsity-Based Pauli Decomposition (MSPD) algorithm. It specifies the function, ...
CNBC

Meta launches AI algorithm personalization feature for Threads

Meta on Wednesday debuted an AI feature called "Dear Algo" that lets Threads users personalize their content-recommendation algorithms. Threads users will be able to tell the Dear Algo tool what kinds ...
blockchain

NVIDIA cuTile Python Guide Shows 90% cuBLAS Performance for Matrix Ops

NVIDIA releases detailed cuTile Python tutorial for Blackwell GPUs, demonstrating matrix multiplication achieving over 90% of cuBLAS performance with simplified code. NVIDIA has published a ...
note

How to Solve Systems of Linear Equations with Python NumPy: Efficient Calculation Methods Using Matrices

In the fields of data analysis and scientific computing, situations where one must solve equations with multiple variables (systems of linear equations) occur frequently. By using NumPy, Python's ...
note

[Python] No for-loop needed for list initialization: Efficient array generation using the multiplication operator

In programming, initializing arrays (lists) is a frequently occurring task. Situations such as "I want to fill a list of length N with zeros" or "I want to create a dataset that repeats a specific ...