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Assaf Eisenman
Assaf Eisenman
Verifierad e-postadress på cs.stanford.edu - Startsida
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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
1832018
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 (NSDI …, 2016
1492016
Software-hardware co-design for fast and scalable training of deep learning recommendation models
D Mudigere, Y Hao, J Huang, Z Jia, A Tulloch, S Sridharan, X Liu, ...
Proceedings of the 49th Annual International Symposium on Computer …, 2022
126*2022
Dynacache: Dynamic cloud caching
A Cidon, A Eisenman, M Alizadeh, S Katti
7th USENIX Workshop on Hot Topics in Cloud Computing (HotCloud 15), 2015
912015
Bandana: Using Non-Volatile Memory for Storing Deep Learning Models
A Eisenman, M Naumov, D Gardner, M Smelyanskiy, S Pupyrev, ...
Proceedings of the 2nd MLSys Conference, 2019
872019
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 (NSDI …, 2019
68*2019
Check-n-run: A checkpointing system for training deep learning recommendation models
A Eisenman, KK Matam, S Ingram, D Mudigere, R Krishnamoorthi, K Nair, ...
19th USENIX Symposium on Networked Systems Design and Implementation (NSDI 22), 2022
40*2022
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
262016
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
162016
Reducing DRAM Footprint to Scale Data Store Systems
A Eisenman
Stanford University, 2019
2019
QuickUpdate: a Real-Time Personalization System for Large-Scale Recommendation Models
KK Matam, H Ramezani, F Wang, Z Chen, Y Dong, M Ding, Z Zhao, ...
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Artiklar 1–11