Abstract: Accurate programming of non-volatile memory (NVM) devices in analog in-memory computing (AIMC) cores is critical to achieve high matrix-vector ...

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 ...

One way to speed up your Python programs is to write modules in the Zig language and use them in your Python code. Here's how to get started. Python might not be the fastest of languages, but it has ...

Abstract: While the Karatsuba algorithm reduces the complexity of large integer multiplication, the extra additions required minimize its benefits for smaller integers of more commonly-used bitwidths.

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.

Mojo is a high-performance programming language initially designed to unify and simplify the development of applications across all layers of the AI stack. It combines the usability and syntax of the ...

The Purdue Office of Undergraduate Research (OUR) is launching an undergraduate research program matrix that captures the scale of research programming at West Lafayette and Indianapolis. The Purdue ...

Provide Purdue faculty, staff, and students with a single source summary of URE programs. Give UR programs, administrators, and mentors broader and inclusive marketing to prospective student ...

In the crowded market of male enhancement solutions, finding a program that genuinely delivers on its promises can be a daunting task. Enter the Growth Matrix Program, a revolutionary approach setting ...

Matrix multiplication (MatMul) is a fundamental operation in most neural networks, primarily because GPUs are highly optimized for these computations. Despite its critical role in deep learning, ...