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 ...

Abstract: Even though the task of multiplying matrices appears to be rather straightforward, it can be quite challenging in practice. Many researchers have focused on how to effectively multiply two 2 ...

The John M. Chu-directed musical fantasy sequel Wicked: For Good is nearing the end of its fourth week in theaters. So far, the film has collected $468.3 million worldwide, ranking as the 13th highest ...

Cybercriminals have a new, user-friendly tool for turning your browser alerts into a vector for phishing attacks. "Matrix Push" is slick, it's pretty, and it's about as easy to use as any commercial ...

Multiplication in Python may seem simple at first—just use the * operator—but it actually covers far more than just numbers. You can use * to multiply integers and floats, repeat strings and lists, or ...

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 ...

What is most striking about Python’s latest wave of third-party tooling is that they aren’t written in Python. Instead, many of the newer tools for project management, code formatting, and now type ...

Ian Bartoszek didn’t need the beeping radio receiver to know there were pythons nearby. As his team of four walked single-file into the dense oak woods of South Florida, they couldn’t help but notice ...

The M.2 slot is usually used for solid-state storage devices. However, [bitluni] had another fun idea for how to use the interface. He built an M.2 compatible LED matrix that adds a little light to ...

An international criminal communications network, known as the Matrix, containing more than 2 million encrypted messages in 33 languages and spanning 40 servers, has been broken apart by a ...

Discover how nvmath-python leverages NVIDIA CUDA-X math libraries for high-performance matrix operations, optimizing deep learning tasks with epilog fusion, as detailed by Szymon Karpiński.