Jack Kosaian

According to our database, Jack Kosaian authored at least 13 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Rethinking Erasure-Coding Libraries in the Age of Optimized Machine Learning.

Jiyu Hu, Jack Kosaian, K. V. Rashmi

Proceedings of the 16th ACM Workshop on Hot Topics in Storage and File Systems, 2024

EVT: Accelerating Deep Learning Training with Epilogue Visitor Tree.

Zhaodong Chen, Andrew Kerr, Richard Cai, Jack Kosaian, Haicheng Wu, Yufei Ding, Yuan Xie

Proceedings of the 29th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, 2024

2023

Efficient Fault Tolerance for Recommendation Model Training via Erasure Coding.

Tianyu Zhang, Kaige Liu, Jack Kosaian, Juncheng Yang, Rashmi Vinayak

Proc. VLDB Endow., 2023

2022

A Study on the Intersection of GPU Utilization and CNN Inference.

Jack Kosaian, Amar Phanishayee

CoRR, 2022

2021

ECRM: Efficient Fault Tolerance for Recommendation Model Training via Erasure Coding.

Kaige Liu, Jack Kosaian, K. V. Rashmi

CoRR, 2021

Arithmetic-intensity-guided fault tolerance for neural network inference on GPUs.

Jack Kosaian, K. V. Rashmi

Proceedings of the International Conference for High Performance Computing, 2021

Boosting the Throughput and Accelerator Utilization of Specialized CNN Inference Beyond Increasing Batch Size.

Jack Kosaian, Amar Phanishayee, Matthai Philipose, Debadeepta Dey, Rashmi Vinayak

Proceedings of the 38th International Conference on Machine Learning, 2021

2020

Learning-Based Coded Computation.

Jack Kosaian, K. V. Rashmi, Shivaram Venkataraman

IEEE J. Sel. Areas Inf. Theory, 2020

2019

Parity Models: A General Framework for Coding-Based Resilience in ML Inference.

Jack Kosaian, K. V. Rashmi, Shivaram Venkataraman

CoRR, 2019

Parity models: erasure-coded resilience for prediction serving systems.

Jack Kosaian, K. V. Rashmi, Shivaram Venkataraman

Proceedings of the 27th ACM Symposium on Operating Systems Principles, 2019

Vantage: optimizing video upload for time-shifted viewing of social live streams.

Devdeep Ray, Jack Kosaian, K. V. Rashmi, Srinivasan Seshan

Proceedings of the ACM Special Interest Group on Data Communication, 2019

2018

Learning a Code: Machine Learning for Approximate Non-Linear Coded Computation.

Jack Kosaian, K. V. Rashmi, Shivaram Venkataraman

CoRR, 2018

2016

EC-Cache: Load-Balanced, Low-Latency Cluster Caching with Online Erasure Coding.

K. V. Rashmi, Mosharaf Chowdhury, Jack Kosaian, Ion Stoica, Kannan Ramchandran

Proceedings of the 12th USENIX Symposium on Operating Systems Design and Implementation, 2016