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Journal Articles
- 2023
[j2]Tianyu Zhang, Kaige Liu, Jack Kosaian, Juncheng Yang, Rashmi Vinayak:
Efficient Fault Tolerance for Recommendation Model Training via Erasure Coding. Proc. VLDB Endow. 16(11): 3137-3150 (2023)- 2020
- [j1]Jack Kosaian
, K. V. Rashmi, Shivaram Venkataraman:
Learning-Based Coded Computation. IEEE J. Sel. Areas Inf. Theory 1(1): 227-236 (2020)
Conference and Workshop Papers
- 2024
- [c7]Zhaodong Chen, Andrew Kerr, Richard Cai, Jack Kosaian, Haicheng Wu, Yufei Ding, Yuan Xie:
EVT: Accelerating Deep Learning Training with Epilogue Visitor Tree. ASPLOS (3) 2024: 301-316 - [c6]Jiyu Hu, Jack Kosaian, K. V. Rashmi:
Rethinking Erasure-Coding Libraries in the Age of Optimized Machine Learning. HotStorage 2024 - 2021
- [c5]Jack Kosaian, Amar Phanishayee, Matthai Philipose, Debadeepta Dey, Rashmi Vinayak:
Boosting the Throughput and Accelerator Utilization of Specialized CNN Inference Beyond Increasing Batch Size. ICML 2021: 5731-5741 - [c4]Jack Kosaian, K. V. Rashmi:
Arithmetic-intensity-guided fault tolerance for neural network inference on GPUs. SC 2021: 79 - 2019
- [c3]Devdeep Ray, Jack Kosaian, K. V. Rashmi, Srinivasan Seshan:
Vantage: optimizing video upload for time-shifted viewing of social live streams. SIGCOMM 2019: 380-393 - [c2]Jack Kosaian, K. V. Rashmi, Shivaram Venkataraman:
Parity models: erasure-coded resilience for prediction serving systems. SOSP 2019: 30-46 - 2016
- [c1]K. V. Rashmi, Mosharaf Chowdhury, Jack Kosaian, Ion Stoica, Kannan Ramchandran:
EC-Cache: Load-Balanced, Low-Latency Cluster Caching with Online Erasure Coding. OSDI 2016: 401-417
Informal and Other Publications
- 2022
- [i5]Jack Kosaian, Amar Phanishayee:
A Study on the Intersection of GPU Utilization and CNN Inference. CoRR abs/2212.07936 (2022) - 2021
- [i4]Kaige Liu, Jack Kosaian, K. V. Rashmi:
ECRM: Efficient Fault Tolerance for Recommendation Model Training via Erasure Coding. CoRR abs/2104.01981 (2021) - [i3]Jack Kosaian, K. V. Rashmi:
Arithmetic-Intensity-Guided Fault Tolerance for Neural Network Inference on GPUs. CoRR abs/2104.09455 (2021) - 2019
- [i2]Jack Kosaian, K. V. Rashmi, Shivaram Venkataraman:
Parity Models: A General Framework for Coding-Based Resilience in ML Inference. CoRR abs/1905.00863 (2019) - 2018
- [i1]Jack Kosaian, K. V. Rashmi, Shivaram Venkataraman:
Learning a Code: Machine Learning for Approximate Non-Linear Coded Computation. CoRR abs/1806.01259 (2018)
Coauthor Index
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