Connor Holmes
Connor Holmes
Computer Science PhD Candidate, Colorado School of Mines
Verified email at
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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
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
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
Graphzero: Breaking symmetry for efficient graph mining
D Mawhirter, S Reinehr, C Holmes, T Liu, B Wu
arXiv preprint arXiv:1911.12877, 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
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
Towards open world nerf-based slam
D Lisus, C Holmes, S Waslander
2023 20th Conference on Robots and Vision (CRV), 37-44, 2023
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
An efficient global optimality certificate for landmark-based SLAM
C Holmes, TD Barfoot
IEEE Robotics and Automation Letters 8 (3), 1539-1546, 2023
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
Safe and smooth: Certified continuous-time range-only localization
F Dümbgen, C Holmes, TD Barfoot
IEEE Robotics and Automation Letters 8 (2), 1117-1124, 2022
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, ...
arXiv preprint arXiv:2309.00810, 2023
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
Toward globally optimal state estimation using automatically tightened semidefinite relaxations
F Dümbgen, C Holmes, B Agro, TD Barfoot
arXiv preprint arXiv:2308.05783, 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
A fine line: Total least-squares line fitting as QCQP optimization
TD Barfoot, C Holmes, F Dumbgen
arXiv preprint arXiv:2206.05082, 2022
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, 2023
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
STAR-loc: Dataset for STereo And Range-based localization
F Dümbgen, MA Shalaby, C Holmes, CC Cossette, JR Forbes, JL Ny, ...
arXiv preprint arXiv:2309.05518, 2023
Certifiably Optimal Rotation and Pose Estimation Based on the Cayley Map
TD Barfoot, C Holmes, F Dümbgen
arXiv preprint arXiv:2308.12418, 2023
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