مقالات بحثية تمّ التفويض بإتاحتها للجميع - Shivaram Venkataramanمزيد من المعلومات
عدد المقالات البحثية غير المتاحة للجميع في أي موقع: 2
Estimating Battery State-of-Charge using Machine Learning and Physics-Based Models
HD Sapra, O Elfimova, S Upadhya, L Desorcy, M Wagner, ...
SAE Technical Paper, 2023
التفويضات: US Department of Defense
The Roaming Edge and its Applications
S Banerjee, R Arpaci-Dusseau, S Dai, K Fawaz, M Gupta, K Lee, ...
GetMobile: Mobile Computing and Communications 25 (4), 5-11, 2022
التفويضات: US National Science Foundation
عدد المقالات البحثية المتاحة للجميع في موقع ما: 33
Apache spark: a unified engine for big data processing
M Zaharia, RS Xin, P Wendell, T Das, M Armbrust, A Dave, X Meng, ...
Communications of the ACM 59 (11), 56-65, 2016
التفويضات: US National Science Foundation, US Department of Energy
Mllib: Machine learning in apache spark
X Meng, J Bradley, B Yavuz, E Sparks, S Venkataraman, D Liu, ...
Journal of Machine Learning Research 17 (34), 1-7, 2016
التفويضات: National Natural Science Foundation of China
Occupy the cloud: Distributed computing for the 99%
E Jonas, Q Pu, S Venkataraman, I Stoica, B Recht
Proceedings of the 2017 symposium on cloud computing, 445-451, 2017
التفويضات: US National Science Foundation, US Department of Defense
Ernest: Efficient performance prediction for {Large-Scale} advanced analytics
S Venkataraman, Z Yang, M Franklin, B Recht, I Stoica
13th USENIX symposium on networked systems design and implementation (NSDI …, 2016
التفويضات: US National Science Foundation, US Department of Energy
Focus: Querying large video datasets with low latency and low cost
K Hsieh, G Ananthanarayanan, P Bodik, S Venkataraman, P Bahl, ...
13th USENIX Symposium on Operating Systems Design and Implementation (OSDI …, 2018
التفويضات: US National Science Foundation
Shuffling, fast and slow: Scalable analytics on serverless infrastructure
Q Pu, S Venkataraman, I Stoica
16th USENIX symposium on networked systems design and implementation (NSDI …, 2019
التفويضات: US National Science Foundation
Themis: Fair and efficient {GPU} cluster scheduling
K Mahajan, A Balasubramanian, A Singhvi, S Venkataraman, A Akella, ...
17th USENIX Symposium on Networked Systems Design and Implementation (NSDI …, 2020
التفويضات: US National Science Foundation
Drizzle: Fast and adaptable stream processing at scale
S Venkataraman, A Panda, K Ousterhout, M Armbrust, A Ghodsi, ...
Proceedings of the 26th Symposium on Operating Systems Principles, 374-389, 2017
التفويضات: US National Science Foundation, US Department of Defense
Keystoneml: Optimizing pipelines for large-scale advanced analytics
ER Sparks, S Venkataraman, T Kaftan, MJ Franklin, B Recht
2017 IEEE 33rd international conference on data engineering (ICDE), 535-546, 2017
التفويضات: US National Science Foundation, US Department of Energy, US Department of …
Blink: Fast and generic collectives for distributed ml
G Wang, S Venkataraman, A Phanishayee, N Devanur, J Thelin, I Stoica
Proceedings of Machine Learning and Systems 2, 172-186, 2020
التفويضات: US National Science Foundation
{ASAP}: Fast, approximate graph pattern mining at scale
AP Iyer, Z Liu, X Jin, S Venkataraman, V Braverman, I Stoica
13th USENIX Symposium on Operating Systems Design and Implementation (OSDI …, 2018
التفويضات: US National Science Foundation, US Department of Defense
Sparkr: Scaling r programs with spark
S Venkataraman, Z Yang, D Liu, E Liang, H Falaki, X Meng, R Xin, ...
Proceedings of the 2016 international conference on management of data, 1099 …, 2016
التفويضات: US National Science Foundation, US Department of Energy
Atoll: A scalable low-latency serverless platform
A Singhvi, A Balasubramanian, K Houck, MD Shaikh, S Venkataraman, ...
Proceedings of the ACM Symposium on Cloud Computing, 138-152, 2021
التفويضات: US National Science Foundation
Cracking open the dnn black-box: Video analytics with dnns across the camera-cloud boundary
J Emmons, S Fouladi, G Ananthanarayanan, S Venkataraman, ...
Proceedings of the 2019 workshop on hot topics in video analytics and …, 2019
التفويضات: US National Science Foundation
Marius: Learning massive graph embeddings on a single machine
J Mohoney, R Waleffe, H Xu, T Rekatsinas, S Venkataraman
15th {USENIX} Symposium on Operating Systems Design and Implementation …, 2021
التفويضات: US National Science Foundation, US Department of Defense
Too many knobs to tune? towards faster database tuning by pre-selecting important knobs
K Kanellis, R Alagappan, S Venkataraman
12th USENIX Workshop on Hot Topics in Storage and File Systems (HotStorage 20), 2020
التفويضات: US National Science Foundation
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
التفويضات: US National Science Foundation
On the utility of gradient compression in distributed training systems
S Agarwal, H Wang, S Venkataraman, D Papailiopoulos
Proceedings of Machine Learning and Systems 4, 652-672, 2022
التفويضات: US National Science Foundation, US Department of Defense
يتم تحديد معلومات التمويل والنشر من خلال برنامج كمبيوتر تلقائيًا.