Abstract: Sparse matrix multiplication is widely used in various practical applications. Different accelerators have been proposed to speed up sparse matrix-dense vector multiplication (SpMV), sparse ...

Community driven content discussing all aspects of software development from DevOps to design patterns. Here are the most important concepts developers must know when they size Java arrays and deal ...

Element-wise multiplication in Python is a fundamental operation, especially when working with numerical data using libraries like NumPy. Understanding how to perform this efficiently is crucial for ...

Abstract: Structured sparsity has been proposed as an efficient way to prune the complexity of Machine Learning (ML) applications and to simplify the handling of sparse data in hardware. Accelerating ...

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.

Converting images into vector graphics or creating vector graphics is particularly useful if you need graphics for logos, illustrations, or print templates. While conventional image formats such as ...

After several years spent honing its robotic cell therapy manufacturing system, Multiply Labs has snared its first collaboration with a major cell therapy developer. Multiply Labs and Legend ...

Artificial intelligence (AI) processing rests on the use of vectorised data. In other words, AI turns real-world information into data that can be used to gain insight, searched for and manipulated.