Assaf Eisenman
Assaf Eisenman
Verified email at cs.stanford.edu - Homepage
Title
Cited by
Cited by
Year
Reducing DRAM footprint with NVM in Facebook
A Eisenman, D Gardner, I AbdelRahman, J Axboe, S Dong, K Hazelwood, ...
Proceedings of the Thirteenth EuroSys Conference, 42, 2018
962018
Cliffhanger: Scaling performance cliffs in web memory caches
A Cidon, A Eisenman, M Alizadeh, S Katti
13th {USENIX} Symposium on Networked Systems Design and Implementation …, 2016
892016
Dynacache: Dynamic cloud caching
A Cidon, A Eisenman, M Alizadeh, S Katti
7th {USENIX} Workshop on Hot Topics in Cloud Computing (HotCloud 15), 2015
592015
Bandana: Using Non-Volatile Memory for Storing Deep Learning Models
A Eisenman, M Naumov, D Gardner, M Smelyanskiy, S Pupyrev, ...
Proceedings of the 2nd SysML Conference, 2019
312019
Flashield: a hybrid key-value cache that controls flash write amplification
A Eisenman, A Cidon, E Pergament, O Haimovich, R Stutsman, ...
16th {USENIX} Symposium on Networked Systems Design and Implementation …, 2019
25*2019
Parallel graph processing: Prejudice and state of the art
A Eisenman, L Cherkasova, G Magalhaes, Q Cai, P Faraboschi, S Katti
Proceedings of the 7th ACM/SPEC on International Conference on Performance …, 2016
152016
Parallel graph processing on modern multi-core servers: New findings and remaining challenges
A Eisenman, L Cherkasova, G Magalhaes, Q Cai, S Katti
2016 IEEE 24th International Symposium on Modeling, Analysis and Simulation …, 2016
102016
Check-N-Run: A Checkpointing System for Training Recommendation Models
A Eisenman, KK Matam, S Ingram, D Mudigere, R Krishnamoorthi, ...
arXiv preprint arXiv:2010.08679, 2020
22020
High-performance, Distributed Training of Large-scale Deep Learning Recommendation Models
D Mudigere, Y Hao, J Huang, A Tulloch, S Sridharan, X Liu, M Ozdal, ...
arXiv preprint arXiv:2104.05158, 2021
2021
Reducing DRAM Footprint to Scale Data Store Systems
A Eisenman
Stanford University, 2019
2019
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