As language models (LMs) improve at tasks like image generation, trivia questions, and simple math, you might think that ...

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 ...

This code provides a minimalist python+gurobi based implementation for computing tight bounds on AC-OPF test cases in the matpower format. Formally, the algorithm computes the "minimal continuous ...

Abstract: Three-dimensional finite-difference time-domain (FDTD) models of the global Earth-ionosphere waveguide were first introduced in the early 2000s. These models have been applied to a wide ...

Parallelization of legacy programs is on huge demand as multi-core platforms are pervasively adopted in many sectors of industry. In order to parallelize a legacy program, two steps must be done: ...

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 ...