Jack Kosaian

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 14

Top Topics

Replicated Databases

Fault Tolerance

Historical Stream Data

Top Venues

IEEE J. Sel. Areas Inf. Theory

Publications

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)
Jiyu Hu, Jack Kosaian, K. V. Rashmi
Rethinking Erasure-Coding Libraries in the Age of Optimized Machine Learning. HotStorage (2024)
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) (2023)
Jack Kosaian, Amar Phanishayee
A Study on the Intersection of GPU Utilization and CNN Inference. CoRR (2022)
Jack Kosaian, K. V. Rashmi
Arithmetic-intensity-guided fault tolerance for neural network inference on GPUs. SC (2021)
Kaige Liu, Jack Kosaian, K. V. Rashmi
ECRM: Efficient Fault Tolerance for Recommendation Model Training via Erasure Coding. CoRR (2021)
Jack Kosaian, K. V. Rashmi
Arithmetic-Intensity-Guided Fault Tolerance for Neural Network Inference on GPUs. CoRR (2021)
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)
Jack Kosaian, K. V. Rashmi, Shivaram Venkataraman
Learning-Based Coded Computation. IEEE J. Sel. Areas Inf. Theory 1 (1) (2020)
Jack Kosaian, K. V. Rashmi, Shivaram Venkataraman
Parity Models: A General Framework for Coding-Based Resilience in ML Inference. CoRR (2019)
Jack Kosaian, K. V. Rashmi, Shivaram Venkataraman
Parity models: erasure-coded resilience for prediction serving systems. SOSP (2019)
Devdeep Ray, Jack Kosaian, K. V. Rashmi, Srinivasan Seshan
Vantage: optimizing video upload for time-shifted viewing of social live streams. SIGCOMM (2019)
Jack Kosaian, K. V. Rashmi, Shivaram Venkataraman
Learning a Code: Machine Learning for Approximate Non-Linear Coded Computation. CoRR (2018)
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)