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VTK-m mirror which runs in OLCF CI

Seer is an intelligent system for extreme heterogeneous architectures

Strategies to distribute simplex-shaped workload across thousands of GPUs through mathematical mapping and dynamic scheduling

PyTorch-based large-scale ptychography for determining atom trajectories

Ongoing research training transformer language models at scale, including: BERT & GPT-2

ELM Kernel Library

Simple tester for multi-architecture domain decomposed particle transport

Simple test of a HIP implementation's ability of kernels to accept an unused object reference.

DeepSpeed is a deep learning optimization library that makes distributed training easy, efficient, and effective.

Miniapp version of ray-trace code used to simulate X-Ray lasers.

Repository of GPU performance optimization

Mirror of https://github.com/celeritas-project/celeritas