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Audi S3 sedan feels sportier and more fun now

This video reviews the 2025 Audi S3 Sedan facelift, tested on the German Autobahn. With 333 horsepower and torque splitter ...
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 ...
IEEE

FastFlow-Python: Parallel Building Blocks in Python Through FastFlow Integration

Abstract: We present FastFlow-Python, a framework that brings parallelism to Python for stream-processing applications. FastFlow-Python enables developers to build high-throughput, low-latency ...
Bleeping Computer

PyPI now blocks domain resurrection attacks used for hijacking accounts

The Python Package Index (PyPI) has introduced new protections against domain resurrection attacks that enable hijacking accounts through password resets. PyPI is the official repository for ...
GitHub

block-diagonalization

Symbolic Perturbation Theory (SymPT) is a Python package for symbolic perturbative transformations on quantum systems. SymPT helps compute effective Hamiltonians for both time-independent and ...
来自MSN

Solving a System of Linear Equations with a Matrix and Python

Physics and Python stuff. Most of the videos here are either adapted from class lectures or solving physics problems. I really like to use numerical calculations without all the fancy programming ...
IEEE

An Abstraction-Preserving Block Matrix Implementation in Maple

Abstract: A Maple implementation of partitioned matrices is described. A recursive block data structure is used, with all operations preserving the block abstraction. These include constructor ...
blockchain

通过 nvmath-python 的矩阵乘法和后记融合增强深度学习

探索 nvmath-python 如何利用 NVIDIA CUDA-X 数学库进行高性能矩阵运算，通过后记融合优化深度学习任务，详细信息由 Szymon Karpiński 提供。 nvmath-python 是一个目前处于测试阶段的开源 Python 库，通过 NVIDIA 的 CUDA-X 数学库提供高性能数学运算，正在深度学习社区引起关注。