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Jack Kosaian
Jack Kosaian
Verified email at andrew.cmu.edu - Homepage
Title
Cited by
Cited by
Year
{EC-Cache}:{Load-Balanced},{Low-Latency} Cluster Caching with Online Erasure Coding
KV Rashmi, M Chowdhury, J Kosaian, I Stoica, K Ramchandran
12th USENIX Symposium on Operating Systems Design and Implementation (OSDI …, 2016
1792016
Learning a code: Machine learning for approximate non-linear coded computation
J Kosaian, KV Rashmi, S Venkataraman
arXiv preprint arXiv:1806.01259, 2018
512018
Parity models: erasure-coded resilience for prediction serving systems
J Kosaian, KV Rashmi, S Venkataraman
Proceedings of the 27th ACM Symposium on Operating Systems Principles, 30-46, 2019
502019
Vantage: optimizing video upload for time-shifted viewing of social live streams
D Ray, J Kosaian, KV Rashmi, S Seshan
Proceedings of the ACM Special Interest Group on Data Communication, 380-393, 2019
442019
Learning-based coded computation
J Kosaian, KV Rashmi, S Venkataraman
IEEE Journal on Selected Areas in Information Theory 1 (1), 227-236, 2020
242020
Arithmetic-intensity-guided fault tolerance for neural network inference on gpus
J Kosaian, KV Rashmi
Proceedings of the International Conference for High Performance Computing …, 2021
202021
Boosting the throughput and accelerator utilization of specialized cnn inference beyond increasing batch size
J Kosaian, A Phanishayee, M Philipose, D Dey, R Vinayak
International Conference on Machine Learning, 5731-5741, 2021
202021
Parity models: A general framework for coding-based resilience in ML inference
J Kosaian, KV Rashmi, S Venkataraman
arXiv preprint arXiv:1905.00863, 2019
132019
ECRM: Efficient Fault Tolerance for Recommendation Model Training via Erasure Coding
K Liu, J Kosaian, KV Rashmi
arXiv preprint arXiv:2104.01981, 2021
22021
Efficient Fault Tolerance for Recommendation Model Training via Erasure Coding
T Zhang, K Liu, J Kosaian, J Yang, R Vinayak
Proceedings of the VLDB Endowment 16 (11), 3137-3150, 2023
12023
A Study on the Intersection of GPU Utilization and CNN Inference
J Kosaian, A Phanishayee
arXiv preprint arXiv:2212.07936, 2022
12022
Practical Coding-Theoretic Tools for Machine Learning Systems and by Machine Learning Systems
J Kosaian
Carnegie Mellon University, 2023
2023
AGARWAL, Anup CMU-CS-23-100 BEVERIDGE, Daniel CMU-CS-23-101 BLAKLEY, James CMU-CS-23-101 BROWN, Ellis L., II CMU-CS-23-107
Y DAI, Q DONG, T EISZLER, G FARINA, V FIROIU, SA GEORGE, S HAAS, ...
2023 Theses by Author
EL BROWN, II CMU-CS, Y DAI, G FARINA, SA GEORGE, R IYENGAR, ...
AGARWAL, Anup CMU-CS-23-100 BEVERIDGE, Daniel CMU-CS-23-101 BLAKLEY, James CMU-CS-23-101 BROWN, Ellis L., II CMU-CS-23-107 DONG, Qifei CMU-CS-23-102
T EISZLER, V FIROIU, SA GEORGE, S HAAS, J HARKES, R IYENGAR, ...
AGARWAL, Anup CMU-CS-23-100 BEVERIDGE, Daniel CMU-CS-23-101 BLAKLEY, James CMU-CS-23-101 DONG, Qifei CMU-CS-23-102
T EISZLER, V FIROIU, SA GEORGE, S HAAS, J HARKES, R IYENGAR, ...
2023 Theses by Author
SA GEORGE, R IYENGAR, J KOSAIAN, G MANEK, L RICE, ...
Parity Models
J Kosaian, R Vinayak, S Venkataraman
EC-Cache: Load-balanced, Low-latency Cluster Caching with Online Erasure Coding
M Chowdhury, J Kosaian, I Stoica, K Ramchandran
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Articles 1–19