Abstract: Text parallelization is a crucial aspect of natural language processing, aiming to enhance the efficiency of information retrieval and analysis. This project focuses on leveraging the Term ...

Abstract: Throughout the last decade, the importance of parallel computing has risen greatly to match the ever-increasing computational demand. Frameworks such as OpenMP and OpenCL allow easy ...

The new major version with a new JIT compiler, a revised parallelization API, and a maturing type system paves the way for ...

redun aims to be a more expressive and efficient workflow framework, built on top of the popular Python programming language. It takes the somewhat contrarian view that writing dataflows directly is ...

With the growing model size of deep neural networks (DNN), deep learning training is increasingly relying on handcrafted search spaces to find efficient parallelization execution plans. However, our ...

Pillow is the friendly PIL fork by Jeffrey A. Clark and contributors. PIL is the Python Imaging Library by Fredrik Lundh and contributors. As of 2019, Pillow development is supported by Tidelift. The ...