Sayed Hadi Hashemi
Title
Cited by
Cited by
Year
World of Empowered IoT Users
SH Hashemi, F Faghri, P Rausch, RH Campbell
The1st IEEE International Congerence on Internet-of-Things Design and …, 2016
982016
TicTac: Improving Distributed Deep Learning with Communication Scheduling
SH Hashemi, SA Jyothi, RH Campbell
SysML Conference 2019, 2019
90*2019
Performance Modeling of Distributed Deep Neural Networks
SH Hashemi, SA Noghabi, W Gropp, RH Campbell
arXiv preprint arXiv:1612.00521, 2016
432016
Decentralized user-centric access control using pubsub over blockchain
SH Hashemi, F Faghri, RH Campbell
arXiv preprint arXiv:1710.00110, 2017
182017
Genome-wide CRISPRi/a screens in human neurons link lysosomal failure to ferroptosis
R Tian, A Abarientos, J Hong, SH Hashemi, R Yan, N Dräger, K Leng, ...
Nature Neuroscience, 1-15, 2021
172021
Predicting onset, progression, and clinical subtypes of Parkinson disease using machine learning
F Faghri, SH Hashemi, H Leonard, SW Scholz, RH Campbell, MA Nalls, ...
bioRxiv, 338913, 2018
162018
HAL: Computer system for scalable deep learning
V Kindratenko, D Mu, Y Zhan, J Maloney, SH Hashemi, B Rabe, K Xu, ...
Practice and Experience in Advanced Research Computing, 41-48, 2020
112020
Toward scalable machine learning and data mining: the bioinformatics case
F Faghri, SH Hashemi, M Babaeizadeh, MA Nalls, S Sinha, RH Campbell
arXiv preprint arXiv:1710.00112, 2017
92017
A Comprehensive Classification of Incident Handling Information
M Nowruzi, HH Jazi, M Dehghan, M Shahmoradi, SH Hashemi, ...
6th International symposium on telecommunications (IST), 1071-1075, 2012
72012
Predicting onset, progression, and clinical subtypes of parkinson disease using machine learning. bioRxiv
F Faghri, SH Hashemi, H Leonard, SW Scholz, RH Campbell, MA Nalls, ...
32018
tensorflow-tracing: A performance tuning framework for production
SH Hashemi, P Rausch, B Rabe, KY Chou, S Liu, V Kindratenko, ...
2019 {USENIX} Conference on Operational Machine Learning (OpML 19), 31-33, 2019
22019
Towards An Intent-Aware Network Interface for Cloud Applications
SA Jyothi, SH Hashemi, R Campbell, B Godfrey
Network 100, f1, 2019
22019
TensorFlow Runtime Tracing Metadata Visualization
SH Hashemi
https://github.com/xldrx/tensorflow-runtime-metadata-visualization, 2018
22018
Toward fabric: A middleware implementing high-level description languages on a fabric-like network
SH Hashemi, SA Noghabi, J Bellessa, RH Campbell
Proceedings of the 2016 Symposium on Architectures for Networking and …, 2016
22016
A Comprehensive Semi-Automated Incident Handling Workflow
SH Hashemi, M Babaeizadeh, M Nowruzi, HH Jazi, M Shahmoradi, ...
6th International Symposium on Telecommunications (IST), 1065-1070, 2012
22012
A CRISPRi/a platform in iPSC-derived microglia uncovers regulators of disease states
NM Draeger, SM Sattler, CTL Huang, OM Teter, K Leng, SH Hashemi, ...
bioRxiv, 2021
12021
Multi-Modality Machine Learning Predicting Parkinson’s Disease
MB Makarious, HL Leonard, D Vitale, H Iwaki, L Sargent, A Dadu, I Violich, ...
bioRxiv, 2021
12021
Towards An Application Objective-Aware Network Interface
SA Jyothi, SH Hashemi, R Campbell, B Godfrey
12th {USENIX} Workshop on Hot Topics in Cloud Computing (HotCloud 20), 2020
12020
On The Importance of Execution Ordering in Graph-Based Distributed Machine Learning Systems
SH Hashemi, S Abdu Jyothi, RH Campbell
SysML Conference 2018, 2018
12018
GenoML: Automated Machine Learning for Genomics
MB Makarious, HL Leonard, D Vitale, H Iwaki, D Saffo, L Sargent, A Dadu, ...
arXiv preprint arXiv:2103.03221, 2021
2021
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