Prati
Yue Zhu
Yue Zhu
IBM Research
Potvrđena adresa e-pošte na ibm.com
Naslov
Citirano
Citirano
Godina
I/o characterization and performance evaluation of beegfs for deep learning
F Chowdhury, Y Zhu, T Heer, S Paredes, A Moody, R Goldstone, ...
Proceedings of the 48th International Conference on Parallel Processing, 1-10, 2019
852019
Entropy-aware I/O pipelining for large-scale deep learning on HPC systems
Y Zhu, F Chowdhury, H Fu, A Moody, K Mohror, K Sato, W Yu
2018 IEEE 26th International Symposium on Modeling, Analysis, and Simulation …, 2018
822018
Efficient user-level storage disaggregation for deep learning
Y Zhu, W Yu, B Jiao, K Mohror, A Moody, F Chowdhury
2019 IEEE International Conference on Cluster Computing (CLUSTER), 1-12, 2019
472019
Oaws: Memory occlusion aware warp scheduling
B Wang, Y Zhu, W Yu
Proceedings of the 2016 International Conference on Parallel Architectures …, 2016
342016
Direct-fuse: Removing the middleman for high-performance fuse file system support
Y Zhu, T Wang, K Mohror, A Moody, K Sato, M Khan, W Yu
Proceedings of the 8th International Workshop on Runtime and Operating …, 2018
272018
Metakv: A key-value store for metadata management of distributed burst buffers
T Wang, A Moody, Y Zhu, K Mohror, K Sato, T Islam, W Yu
2017 IEEE International Parallel and Distributed Processing Symposium (IPDPS …, 2017
262017
FARMS: Efficient mapreduce speculation for failure recovery in short jobs
H Fu, H Chen, Y Zhu, W Yu
Parallel computing 61, 68-82, 2017
192017
Emulating I/O behavior in scientific workflows on high performance computing systems
F Chowdhury, Y Zhu, F Di Natale, A Moody, E Gonsiorowski, K Mohror, ...
2020 IEEE/ACM Fifth International Parallel Data Systems Workshop (PDSW), 34-39, 2020
112020
SHMemCache: enabling memcached on the OpenSHMEM global address model
H Fu, K SinghaRoy, MG Venkata, Y Zhu, W Yu
OpenSHMEM and Related Technologies. Enhancing OpenSHMEM for Hybrid …, 2016
82016
A case study of mapreduce speculation for failure recovery
H Fu, Y Zhu, W Yu
Proceedings of the 2015 International Workshop on Data-Intensive Scalable …, 2015
82015
Multi-client DeepIO for large-scale deep learning on HPC systems
Y Zhu, F Chowdhury, H Fu, A Moody, K Mohror, K Sato, W Yu
Proceedings of the International Conference on High Performance Computing …, 2018
62018
Characterizing training performance and energy for foundation models and image classifiers on multi-instance GPUs
C Espenshade, R Peng, E Hong, M Calman, Y Zhu, P Parida, EK Lee, ...
Proceedings of the 4th Workshop on Machine Learning and Systems, 47-55, 2024
52024
Towards Pareto optimal throughput in small language model serving
PG Recasens, Y Zhu, C Wang, EK Lee, O Tardieu, A Youssef, J Torres, ...
Proceedings of the 4th Workshop on Machine Learning and Systems, 144-152, 2024
32024
Enhancing MapReduce Fault Recovery Through Binocular Speculation
H Fu, Y Zhu, AK Nath, MM Khan, W Yu
arXiv preprint arXiv:1901.07715, 2019
12019
Optimizing GPU Multiplexing for Efficient and Cost-Effective Access to Diverse Large Language Models in GPU Clusters
Y Zhu, C Wang, M Calman, R Nakazawa, EK Lee
2024 32nd International Conference on Modeling, Analysis and Simulation of …, 2024
2024
User-Level I/O Accelerations for High-Performance Deep Learning Applications
Y Zhu
The Florida State University, 2021
2021
Direct-FUSE
K SATO, KM MOHROR, AT MOODY, Y Zhu, M Khan, T Wang, W Yu
Lawrence Livermore National Laboratory (LLNL), Livermore, CA (United States), 2019
2019
Characterization and Tuning of BeeGFS for Deep Neural Networks
F Chowdhury, Y Zhu, T Heer, A Moody, K Mohror, W Yu
Lawrence Livermore National Lab.(LLNL), Livermore, CA (United States), 2018
2018
MetaKV: A Specialized Key-Value Store for Distrbuted Burst Buffer Systems
T Wang, A Moody, Y Zhu, K Sato, K Mohror, T Islam, W Yu
Lawrence Livermore National Lab.(LLNL), Livermore, CA (United States), 2016
2016
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