This interim report reflects the first of a two-phase effort in support of the Defense Modeling and Simulation Office (DMSO) project to review the state of the art in human behavior representation as ...
Abstract: Amidst the rapid development of smart grids and distributed energy systems, the volume and complexity of data within power systems have significantly increased, posing substantial challenges ...
* Pre-train a GPT-2 (~124M-parameter) language model using PyTorch and Hugging Face Transformers. * Distribute training across multiple GPUs with Ray Train with minimal code changes. * Stream training ...
Abstract: Large volumes of data generated by scientific simulations, genome sequencing, and other applications need to be moved among clusters for data collection/analysis. Data compression techniques ...
In MoE, the `E` experts are distributed across `N` devices (EP ranks). For simplicity, we assume that `N` divides `E` evenly, so experts are distributed uniformly. For example, when `E = 128` and `N = ...
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