| Video generation models as world simulators. 2024 T Brooks, B Peebles, C Holmes, W DePue, Y Guo, L Jing, D Schnurr, ... URL https://openai. com/research/video-generation-models-as-world-simulators 3, 2024 | 227 | 2024 |
| Video generation models as world simulators T Brooks, B Peebles, C Holmes, W DePue, Y Guo, L Jing, D Schnurr, ... 2024-03-03]. https://openai. com/research/video-generation-modelsas-world …, 2024 | 204 | 2024 |
| Grnn: Low-latency and scalable rnn inference on gpus C Holmes, D Mawhirter, Y He, F Yan, B Wu Proceedings of the Fourteenth EuroSys Conference 2019, 1-16, 2019 | 65 | 2019 |
| Deepspeed-chat: Easy, fast and affordable rlhf training of chatgpt-like models at all scales Z Yao, RY Aminabadi, O Ruwase, S Rajbhandari, X Wu, AA Awan, ... arXiv preprint arXiv:2308.01320, 2023 | 55 | 2023 |
| Deepspeed-fastgen: High-throughput text generation for llms via mii and deepspeed-inference C Holmes, M Tanaka, M Wyatt, AA Awan, J Rasley, S Rajbhandari, ... arXiv preprint arXiv:2401.08671, 2024 | 42 | 2024 |
| Graphzero: A high-performance subgraph matching system D Mawhirter, S Reinehr, C Holmes, T Liu, B Wu ACM SIGOPS Operating Systems Review 55 (1), 21-37, 2021 | 41 | 2021 |
| Zero++: Extremely efficient collective communication for giant model training G Wang, H Qin, SA Jacobs, C Holmes, S Rajbhandari, O Ruwase, F Yan, ... arXiv preprint arXiv:2306.10209, 2023 | 40 | 2023 |
| Graphzero: Breaking symmetry for efficient graph mining D Mawhirter, S Reinehr, C Holmes, T Liu, B Wu arXiv preprint arXiv:1911.12877, 2019 | 34 | 2019 |
| Dryadic: Flexible and fast graph pattern matching at scale D Mawhirter, S Reinehr, W Han, N Fields, M Claver, C Holmes, J McClurg, ... 2021 30th International Conference on Parallel Architectures and Compilation …, 2021 | 22 | 2021 |
| Renaissance: A survey into ai text-to-image generation in the era of large model F Bie, Y Yang, Z Zhou, A Ghanem, M Zhang, Z Yao, X Wu, C Holmes, ... IEEE Transactions on Pattern Analysis and Machine Intelligence, 2024 | 21 | 2024 |
| Deepspeed data efficiency: Improving deep learning model quality and training efficiency via efficient data sampling and routing C Li, Z Yao, X Wu, M Zhang, C Holmes, C Li, Y He Proceedings of the AAAI Conference on Artificial Intelligence 38 (16), 18490 …, 2024 | 21 | 2024 |
| Towards open world nerf-based slam D Lisus, C Holmes, S Waslander 2023 20th Conference on Robots and Vision (CRV), 37-44, 2023 | 21 | 2023 |
| NxMTransformer: semi-structured sparsification for natural language understanding via ADMM C Holmes, M Zhang, Y He, B Wu Advances in neural information processing systems 34, 1818-1830, 2021 | 20 | 2021 |
| Random-ltd: Random and layerwise token dropping brings efficient training for large-scale transformers Z Yao, X Wu, C Li, C Holmes, M Zhang, C Li, Y He arXiv preprint arXiv:2211.11586, 2022 | 15 | 2022 |
| DeepSpeed4Science Initiative: Enabling Large-Scale Scientific Discovery through Sophisticated AI System Technologies SL Song, B Kruft, M Zhang, C Li, S Chen, C Zhang, M Tanaka, X Wu, ... arXiv preprint arXiv:2310.04610, 2023 | 12 | 2023 |
| ZeRO++: Extremely Efficient Collective Communication for Large Model Training G Wang, H Qin, SA Jacobs, X Wu, C Holmes, Z Yao, S Rajbhandari, ... The Twelfth International Conference on Learning Representations, 2024 | 6 | 2024 |
| Deepspeed-fastgen: High-throughput text generation for llms via mii and deepspeed-inference, 2024 C Holmes, M Tanaka, M Wyatt, AA Awan, J Rasley, S Rajbhandari, ... URL https://arxiv. org/abs/2401.08671, 0 | 5 | |
| Leveraging machine learning for taxonomic classification of emerging astroviruses F Alipour, C Holmes, YY Lu, KA Hill, L Kari Frontiers in Molecular Biosciences 10, 1305506, 2024 | 3 | 2024 |
| Compressing pre-trained transformers via low-bit nxm sparsity for natural language understanding C Holmes, M Zhang, Y He, B Wu arXiv preprint arXiv:2206.15014, 2022 | 1 | 2022 |
| ELIχR: Eliminating Computation Redundancy in CNN-Based Video Processing J Schmerge, D Mawhirter, C Holmes, J McClurg, B Wu 2021 IEEE/ACM Redefining Scalability for Diversely Heterogeneous …, 2021 | 1 | 2021 |
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