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Found 173 publication records. Showing 173 according to the selection in the facets
Hits ?▲ |
Authors |
Title |
Venue |
Year |
Link |
Author keywords |
1 | Cheng Wan, Youjie Li, Ang Li, Nam Sung Kim, Yingyan Lin |
BNS-GCN: Efficient Full-Graph Training of Graph Convolutional Networks with Partition-Parallelism and Random Boundary Node Sampling. ![Search on Bibsonomy](Pics/bibsonomy.png) |
MLSys ![In: Proceedings of Machine Learning and Systems 2022, MLSys 2022, Santa Clara, CA, USA, August 29 - September 1, 2022, 2022, mlsys.org. The full citation details ...](Pics/full.jpeg) |
2022 |
DBLP BibTeX RDF |
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1 | Hanpeng Hu, Chenyu Jiang, Yuchen Zhong, Yanghua Peng, Chuan Wu 0001, Yibo Zhu, Haibin Lin, Chuanxiong Guo |
dPRO: A Generic Performance Diagnosis and Optimization Toolkit for Expediting Distributed DNN Training. ![Search on Bibsonomy](Pics/bibsonomy.png) |
MLSys ![In: Proceedings of Machine Learning and Systems 2022, MLSys 2022, Santa Clara, CA, USA, August 29 - September 1, 2022, 2022, mlsys.org. The full citation details ...](Pics/full.jpeg) |
2022 |
DBLP BibTeX RDF |
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1 | Saurabh Agarwal, Hongyi Wang 0001, Shivaram Venkataraman, Dimitris S. Papailiopoulos |
On the Utility of Gradient Compression in Distributed Training Systems. ![Search on Bibsonomy](Pics/bibsonomy.png) |
MLSys ![In: Proceedings of Machine Learning and Systems 2022, MLSys 2022, Santa Clara, CA, USA, August 29 - September 1, 2022, 2022, mlsys.org. The full citation details ...](Pics/full.jpeg) |
2022 |
DBLP BibTeX RDF |
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1 | Oznur Alkan, Dennis Wei, Massimiliano Mattetti, Rahul Nair, Elizabeth Daly, Diptikalyan Saha |
FROTE: Feedback Rule-Driven Oversampling for Editing Models. ![Search on Bibsonomy](Pics/bibsonomy.png) |
MLSys ![In: Proceedings of Machine Learning and Systems 2022, MLSys 2022, Santa Clara, CA, USA, August 29 - September 1, 2022, 2022, mlsys.org. The full citation details ...](Pics/full.jpeg) |
2022 |
DBLP BibTeX RDF |
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1 | Paul Barham 0001, Aakanksha Chowdhery, Jeff Dean, Sanjay Ghemawat, Steven Hand 0001, Dan Hurt, Michael Isard, Hyeontaek Lim, Ruoming Pang, Sudip Roy 0002, Brennan Saeta, Parker Schuh, Ryan Sepassi, Laurent El Shafey, Chandramohan A. Thekkath, Yonghui Wu |
Pathways: Asynchronous Distributed Dataflow for ML. ![Search on Bibsonomy](Pics/bibsonomy.png) |
MLSys ![In: Proceedings of Machine Learning and Systems 2022, MLSys 2022, Santa Clara, CA, USA, August 29 - September 1, 2022, 2022, mlsys.org. The full citation details ...](Pics/full.jpeg) |
2022 |
DBLP BibTeX RDF |
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1 | Jiarong Xing, Leyuan Wang, Shang Zhang, Jack Chen, Ang Chen 0001, Yibo Zhu |
Bolt: Bridging the Gap between Auto-tuners and Hardware-native Performance. ![Search on Bibsonomy](Pics/bibsonomy.png) |
MLSys ![In: Proceedings of Machine Learning and Systems 2022, MLSys 2022, Santa Clara, CA, USA, August 29 - September 1, 2022, 2022, mlsys.org. The full citation details ...](Pics/full.jpeg) |
2022 |
DBLP BibTeX RDF |
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1 | Pradeep Dogga, Karthik Narasimhan, Anirudh Sivaraman, Shiv Kumar Saini, George Varghese, Ravi Netravali |
Revelio: ML-Generated Debugging Queries for Finding Root Causes in Distributed Systems. ![Search on Bibsonomy](Pics/bibsonomy.png) |
MLSys ![In: Proceedings of Machine Learning and Systems 2022, MLSys 2022, Santa Clara, CA, USA, August 29 - September 1, 2022, 2022, mlsys.org. The full citation details ...](Pics/full.jpeg) |
2022 |
DBLP BibTeX RDF |
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1 | Kartikeya Bhardwaj, Milos Milosavljevic, Liam O'Neil, Dibakar Gope, Ramon Matas Navarro, Alex Chalfin, Naveen Suda, Lingchuan Meng, Danny Loh |
Collapsible Linear Blocks for Super-Efficient Super Resolution. ![Search on Bibsonomy](Pics/bibsonomy.png) |
MLSys ![In: Proceedings of Machine Learning and Systems 2022, MLSys 2022, Santa Clara, CA, USA, August 29 - September 1, 2022, 2022, mlsys.org. The full citation details ...](Pics/full.jpeg) |
2022 |
DBLP BibTeX RDF |
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1 | Zhiming Hu, Angela Ning Ye, Iqbal Mohomed |
mmSampler: Efficient Frame Sampler for Multimodal Video Retrieval. ![Search on Bibsonomy](Pics/bibsonomy.png) |
MLSys ![In: Proceedings of Machine Learning and Systems 2022, MLSys 2022, Santa Clara, CA, USA, August 29 - September 1, 2022, 2022, mlsys.org. The full citation details ...](Pics/full.jpeg) |
2022 |
DBLP BibTeX RDF |
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1 | Zichang Liu, Zhaozhuo Xu, Alan Baonan Ji, Junyan Zhang, Jonathan Li 0002, Beidi Chen, Anshumali Shrivastava |
HALOS: Hashing Large Output Space for Cheap Inference. ![Search on Bibsonomy](Pics/bibsonomy.png) |
MLSys ![In: Proceedings of Machine Learning and Systems 2022, MLSys 2022, Santa Clara, CA, USA, August 29 - September 1, 2022, 2022, mlsys.org. The full citation details ...](Pics/full.jpeg) |
2022 |
DBLP BibTeX RDF |
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1 | Jaeyeon Won, Jeyeon Si, Sam Son, Tae Jun Ham, Jae W. Lee |
ULPPACK: Fast Sub-8-bit Matrix Multiply on Commodity SIMD Hardware. ![Search on Bibsonomy](Pics/bibsonomy.png) |
MLSys ![In: Proceedings of Machine Learning and Systems 2022, MLSys 2022, Santa Clara, CA, USA, August 29 - September 1, 2022, 2022, mlsys.org. The full citation details ...](Pics/full.jpeg) |
2022 |
DBLP BibTeX RDF |
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1 | Ankur Mallick, Kevin Hsieh, Behnaz Arzani, Gauri Joshi |
Matchmaker: Data Drift Mitigation in Machine Learning for Large-Scale Systems. ![Search on Bibsonomy](Pics/bibsonomy.png) |
MLSys ![In: Proceedings of Machine Learning and Systems 2022, MLSys 2022, Santa Clara, CA, USA, August 29 - September 1, 2022, 2022, mlsys.org. The full citation details ...](Pics/full.jpeg) |
2022 |
DBLP BibTeX RDF |
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1 | Ningning Xie, Tamara Norman, Dominik Grewe, Dimitrios Vytiniotis |
Synthesizing Optimal Parallelism Placement and Reduction Strategies on Hierarchical Systems for Deep Learning. ![Search on Bibsonomy](Pics/bibsonomy.png) |
MLSys ![In: Proceedings of Machine Learning and Systems 2022, MLSys 2022, Santa Clara, CA, USA, August 29 - September 1, 2022, 2022, mlsys.org. The full citation details ...](Pics/full.jpeg) |
2022 |
DBLP BibTeX RDF |
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1 | Pratik Fegade, Tianqi Chen, Phillip B. Gibbons, Todd C. Mowry |
The CoRa Tensor Compiler: Compilation for Ragged Tensors with Minimal Padding. ![Search on Bibsonomy](Pics/bibsonomy.png) |
MLSys ![In: Proceedings of Machine Learning and Systems 2022, MLSys 2022, Santa Clara, CA, USA, August 29 - September 1, 2022, 2022, mlsys.org. The full citation details ...](Pics/full.jpeg) |
2022 |
DBLP BibTeX RDF |
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1 | Hengrui Zhang, Zhongming Yu, Guohao Dai, Guyue Huang, Yufei Ding, Yuan Xie 0001, Yu Wang 0002 |
Understanding GNN Computational Graph: A Coordinated Computation, IO, and Memory Perspective. ![Search on Bibsonomy](Pics/bibsonomy.png) |
MLSys ![In: Proceedings of Machine Learning and Systems 2022, MLSys 2022, Santa Clara, CA, USA, August 29 - September 1, 2022, 2022, mlsys.org. The full citation details ...](Pics/full.jpeg) |
2022 |
DBLP BibTeX RDF |
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1 | Donglin Zhuang, Xingyao Zhang, Shuaiwen Song, Sara Hooker |
Randomness in Neural Network Training: Characterizing the Impact of Tooling. ![Search on Bibsonomy](Pics/bibsonomy.png) |
MLSys ![In: Proceedings of Machine Learning and Systems 2022, MLSys 2022, Santa Clara, CA, USA, August 29 - September 1, 2022, 2022, mlsys.org. The full citation details ...](Pics/full.jpeg) |
2022 |
DBLP BibTeX RDF |
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1 | Aditya Desai, Li Chou, Anshumali Shrivastava |
Random Offset Block Embedding (ROBE) for compressed embedding tables in deep learning recommendation systems. ![Search on Bibsonomy](Pics/bibsonomy.png) |
MLSys ![In: Proceedings of Machine Learning and Systems 2022, MLSys 2022, Santa Clara, CA, USA, August 29 - September 1, 2022, 2022, mlsys.org. The full citation details ...](Pics/full.jpeg) |
2022 |
DBLP BibTeX RDF |
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1 | Jinhyun So, Corey J. Nolet, Chien-Sheng Yang, Songze Li, Qian Yu 0001, Ramy E. Ali, Basak Guler, Salman Avestimehr |
LightSecAgg: a Lightweight and Versatile Design for Secure Aggregation in Federated Learning. ![Search on Bibsonomy](Pics/bibsonomy.png) |
MLSys ![In: Proceedings of Machine Learning and Systems 2022, MLSys 2022, Santa Clara, CA, USA, August 29 - September 1, 2022, 2022, mlsys.org. The full citation details ...](Pics/full.jpeg) |
2022 |
DBLP BibTeX RDF |
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1 | Wei Hao, Aahil Awatramani, Jiayang Hu, Chengzhi Mao, Pin-Chun Chen, Eyal Cidon, Asaf Cidon, Junfeng Yang |
A Tale of Two Models: Constructing Evasive Attacks on Edge Models. ![Search on Bibsonomy](Pics/bibsonomy.png) |
MLSys ![In: Proceedings of Machine Learning and Systems 2022, MLSys 2022, Santa Clara, CA, USA, August 29 - September 1, 2022, 2022, mlsys.org. The full citation details ...](Pics/full.jpeg) |
2022 |
DBLP BibTeX RDF |
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1 | James K. Reed, Zachary DeVito, Horace He, Ansley Ussery, Jason Ansel |
torch.fx: Practical Program Capture and Transformation for Deep Learning in Python. ![Search on Bibsonomy](Pics/bibsonomy.png) |
MLSys ![In: Proceedings of Machine Learning and Systems 2022, MLSys 2022, Santa Clara, CA, USA, August 29 - September 1, 2022, 2022, mlsys.org. The full citation details ...](Pics/full.jpeg) |
2022 |
DBLP BibTeX RDF |
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1 | Niketan Pansare, Jay Katukuri, Aditya Arora, Frank Cipollone, Riyaaz Shaik, Noyan Tokgozoglu, Chandru Venkataraman |
Learning Compressed Embeddings for On-Device Inference. ![Search on Bibsonomy](Pics/bibsonomy.png) |
MLSys ![In: Proceedings of Machine Learning and Systems 2022, MLSys 2022, Santa Clara, CA, USA, August 29 - September 1, 2022, 2022, mlsys.org. The full citation details ...](Pics/full.jpeg) |
2022 |
DBLP BibTeX RDF |
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1 | Jiwon Seo |
Gyro Dropout: Maximizing Ensemble Effect in Neural Network Training. ![Search on Bibsonomy](Pics/bibsonomy.png) |
MLSys ![In: Proceedings of Machine Learning and Systems 2022, MLSys 2022, Santa Clara, CA, USA, August 29 - September 1, 2022, 2022, mlsys.org. The full citation details ...](Pics/full.jpeg) |
2022 |
DBLP BibTeX RDF |
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1 | Hippolyt Ritter, Theofanis Karaletsos |
TyXe: Pyro-based Bayesian neural nets for Pytorch. ![Search on Bibsonomy](Pics/bibsonomy.png) |
MLSys ![In: Proceedings of Machine Learning and Systems 2022, MLSys 2022, Santa Clara, CA, USA, August 29 - September 1, 2022, 2022, mlsys.org. The full citation details ...](Pics/full.jpeg) |
2022 |
DBLP BibTeX RDF |
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1 | Shurui Li, Puneet Gupta 0001 |
Bit-serial Weight Pools: Compression and Arbitrary Precision Execution of Neural Networks on Resource Constrained Processors. ![Search on Bibsonomy](Pics/bibsonomy.png) |
MLSys ![In: Proceedings of Machine Learning and Systems 2022, MLSys 2022, Santa Clara, CA, USA, August 29 - September 1, 2022, 2022, mlsys.org. The full citation details ...](Pics/full.jpeg) |
2022 |
DBLP BibTeX RDF |
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1 | Corey J. Nolet, Divye Gala, Edward Raff, Joe Eaton, Brad Rees, Tim Oates 0001 |
GPU Semiring Primitives for Sparse Neighborhood Methods. ![Search on Bibsonomy](Pics/bibsonomy.png) |
MLSys ![In: Proceedings of Machine Learning and Systems 2022, MLSys 2022, Santa Clara, CA, USA, August 29 - September 1, 2022, 2022, mlsys.org. The full citation details ...](Pics/full.jpeg) |
2022 |
DBLP BibTeX RDF |
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1 | Hesham Mostafa |
Sequential Aggregation and Rematerialization: Distributed Full-batch Training of Graph Neural Networks on Large Graphs. ![Search on Bibsonomy](Pics/bibsonomy.png) |
MLSys ![In: Proceedings of Machine Learning and Systems 2022, MLSys 2022, Santa Clara, CA, USA, August 29 - September 1, 2022, 2022, mlsys.org. The full citation details ...](Pics/full.jpeg) |
2022 |
DBLP BibTeX RDF |
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1 | Dzmitry Huba, John Nguyen, Kshitiz Malik, Ruiyu Zhu, Mike Rabbat, Ashkan Yousefpour, Carole-Jean Wu, Hongyuan Zhan, Pavel Ustinov, Harish Srinivas, Kaikai Wang, Anthony Shoumikhin, Jesik Min, Mani Malek 0001 |
PAPAYA: Practical, Private, and Scalable Federated Learning. ![Search on Bibsonomy](Pics/bibsonomy.png) |
MLSys ![In: Proceedings of Machine Learning and Systems 2022, MLSys 2022, Santa Clara, CA, USA, August 29 - September 1, 2022, 2022, mlsys.org. The full citation details ...](Pics/full.jpeg) |
2022 |
DBLP BibTeX RDF |
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1 | Tim Kaler, Nickolas Stathas, Anne Ouyang, Alexandros-Stavros Iliopoulos, Tao B. Schardl, Charles E. Leiserson, Jie Chen 0007 |
Accelerating Training and Inference of Graph Neural Networks with Fast Sampling and Pipelining. ![Search on Bibsonomy](Pics/bibsonomy.png) |
MLSys ![In: Proceedings of Machine Learning and Systems 2022, MLSys 2022, Santa Clara, CA, USA, August 29 - September 1, 2022, 2022, mlsys.org. The full citation details ...](Pics/full.jpeg) |
2022 |
DBLP BibTeX RDF |
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1 | Hang Qiu 0001, Ioanna Vavelidou, Jian Li, Evgenya Pergament, Pete Warden, Sandeep Chinchali, Zain Asgar, Sachin Katti |
ML-EXray: Visibility into ML Deployment on the Edge. ![Search on Bibsonomy](Pics/bibsonomy.png) |
MLSys ![In: Proceedings of Machine Learning and Systems 2022, MLSys 2022, Santa Clara, CA, USA, August 29 - September 1, 2022, 2022, mlsys.org. The full citation details ...](Pics/full.jpeg) |
2022 |
DBLP BibTeX RDF |
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1 | Runsheng Guo 0003, Victor Guo, Antonio Kim, Josh Hildred, Khuzaima Daudjee |
Hydrozoa: Dynamic Hybrid-Parallel DNN Training on Serverless Containers. ![Search on Bibsonomy](Pics/bibsonomy.png) |
MLSys ![In: Proceedings of Machine Learning and Systems 2022, MLSys 2022, Santa Clara, CA, USA, August 29 - September 1, 2022, 2022, mlsys.org. The full citation details ...](Pics/full.jpeg) |
2022 |
DBLP BibTeX RDF |
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1 | Samuel Alexander Stein, Betis Baheri, Daniel Chen, Ying Mao, Qiang Guan, Ang Li 0006, Shuai Xu, Caiwen Ding |
QuClassi: A Hybrid Deep Neural Network Architecture based on Quantum State Fidelity. ![Search on Bibsonomy](Pics/bibsonomy.png) |
MLSys ![In: Proceedings of Machine Learning and Systems 2022, MLSys 2022, Santa Clara, CA, USA, August 29 - September 1, 2022, 2022, mlsys.org. The full citation details ...](Pics/full.jpeg) |
2022 |
DBLP BibTeX RDF |
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1 | Jie Zhao 0002, Xiong Gao, Ruijie Xia, Zhaochuang Zhang, Deshi Chen, Lei Chen, Renwei Zhang, Zhen Geng, Bin Cheng, Xuefeng Jin |
Apollo: Automatic Partition-based Operator Fusion through Layer by Layer Optimization. ![Search on Bibsonomy](Pics/bibsonomy.png) |
MLSys ![In: Proceedings of Machine Learning and Systems 2022, MLSys 2022, Santa Clara, CA, USA, August 29 - September 1, 2022, 2022, mlsys.org. The full citation details ...](Pics/full.jpeg) |
2022 |
DBLP BibTeX RDF |
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1 | Michael Kuchnik, Ana Klimovic, Jiri Simsa, Virginia Smith, George Amvrosiadis |
Plumber: Diagnosing and Removing Performance Bottlenecks in Machine Learning Data Pipelines. ![Search on Bibsonomy](Pics/bibsonomy.png) |
MLSys ![In: Proceedings of Machine Learning and Systems 2022, MLSys 2022, Santa Clara, CA, USA, August 29 - September 1, 2022, 2022, mlsys.org. The full citation details ...](Pics/full.jpeg) |
2022 |
DBLP BibTeX RDF |
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1 | Yanqi Zhou, Xuanyi Dong, Tianjian Meng, Mingxing Tan, Berkin Akin, Daiyi Peng, Amir Yazdanbakhsh, Da Huang, Ravi Narayanaswami, James Laudon |
Towards the Co-design of Neural Networks and Accelerators. ![Search on Bibsonomy](Pics/bibsonomy.png) |
MLSys ![In: Proceedings of Machine Learning and Systems 2022, MLSys 2022, Santa Clara, CA, USA, August 29 - September 1, 2022, 2022, mlsys.org. The full citation details ...](Pics/full.jpeg) |
2022 |
DBLP BibTeX RDF |
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1 | Kuntai Du, Qizheng Zhang, Anton Arapin, Haodong Wang, Zhengxu Xia, Junchen Jiang |
AccMPEG: Optimizing Video Encoding for Accurate Video Analytics. ![Search on Bibsonomy](Pics/bibsonomy.png) |
MLSys ![In: Proceedings of Machine Learning and Systems 2022, MLSys 2022, Santa Clara, CA, USA, August 29 - September 1, 2022, 2022, mlsys.org. The full citation details ...](Pics/full.jpeg) |
2022 |
DBLP BibTeX RDF |
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1 | Meet P. Vadera, Jinyang Li 0004, Adam D. Cobb, Brian Jalaian, Tarek F. Abdelzaher, Benjamin M. Marlin |
URSABench: A System for Comprehensive Benchmarking of Bayesian Deep Neural Network Models and Inference methods. ![Search on Bibsonomy](Pics/bibsonomy.png) |
MLSys ![In: Proceedings of Machine Learning and Systems 2022, MLSys 2022, Santa Clara, CA, USA, August 29 - September 1, 2022, 2022, mlsys.org. The full citation details ...](Pics/full.jpeg) |
2022 |
DBLP BibTeX RDF |
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1 | Junguk Cho, Diman Zad Tootaghaj, Lianjie Cao, Puneet Sharma |
SLA-Driven ML Inference Framework for Clouds with Hetergeneous Accelerators. ![Search on Bibsonomy](Pics/bibsonomy.png) |
MLSys ![In: Proceedings of Machine Learning and Systems 2022, MLSys 2022, Santa Clara, CA, USA, August 29 - September 1, 2022, 2022, mlsys.org. The full citation details ...](Pics/full.jpeg) |
2022 |
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1 | Seo Jin Park, Joshua Fried, Sunghyun Kim, Mohammad Alizadeh, Adam Belay |
Efficient Strong Scaling Through Burst Parallel Training. ![Search on Bibsonomy](Pics/bibsonomy.png) |
MLSys ![In: Proceedings of Machine Learning and Systems 2022, MLSys 2022, Santa Clara, CA, USA, August 29 - September 1, 2022, 2022, mlsys.org. The full citation details ...](Pics/full.jpeg) |
2022 |
DBLP BibTeX RDF |
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1 | Haotian Tang, Zhijian Liu, Xiuyu Li, Yujun Lin 0001, Song Han 0003 |
TorchSparse: Efficient Point Cloud Inference Engine. ![Search on Bibsonomy](Pics/bibsonomy.png) |
MLSys ![In: Proceedings of Machine Learning and Systems 2022, MLSys 2022, Santa Clara, CA, USA, August 29 - September 1, 2022, 2022, mlsys.org. The full citation details ...](Pics/full.jpeg) |
2022 |
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1 | Liang Luo, Peter West, Pratyush Patel, Arvind Krishnamurthy, Luis Ceze |
SRIFTY: Swift and Thrifty Distributed Neural Network Training on the Cloud. ![Search on Bibsonomy](Pics/bibsonomy.png) |
MLSys ![In: Proceedings of Machine Learning and Systems 2022, MLSys 2022, Santa Clara, CA, USA, August 29 - September 1, 2022, 2022, mlsys.org. The full citation details ...](Pics/full.jpeg) |
2022 |
DBLP BibTeX RDF |
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1 | Diana Marculescu, Yuejie Chi, Carole-Jean Wu (eds.) |
Proceedings of Machine Learning and Systems 2022, MLSys 2022, Santa Clara, CA, USA, August 29 - September 1, 2022 ![Search on Bibsonomy](Pics/bibsonomy.png) |
MLSys ![mlsys.org The full citation details ...](Pics/full.jpeg) |
2022 |
DBLP BibTeX RDF |
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1 | Zirui Xu, Fuxun Yu, Jinjun Xiong, Xiang Chen 0010 |
QuadraLib: A Performant Quadratic Neural Network Library for Architecture Optimization and Design Exploration. ![Search on Bibsonomy](Pics/bibsonomy.png) |
MLSys ![In: Proceedings of Machine Learning and Systems 2022, MLSys 2022, Santa Clara, CA, USA, August 29 - September 1, 2022, 2022, mlsys.org. The full citation details ...](Pics/full.jpeg) |
2022 |
DBLP BibTeX RDF |
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1 | John Chen 0002, Cameron R. Wolfe, Tasos Kyrillidis |
REX: Revisiting Budgeted Training with an Improved Schedule. ![Search on Bibsonomy](Pics/bibsonomy.png) |
MLSys ![In: Proceedings of Machine Learning and Systems 2022, MLSys 2022, Santa Clara, CA, USA, August 29 - September 1, 2022, 2022, mlsys.org. The full citation details ...](Pics/full.jpeg) |
2022 |
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1 | Wasu Piriyakulkij, Cristina Menghini, Ross Briden, Nihal V. Nayak, Jeffrey Zhu, Elaheh Raisi, Stephen H. Bach |
TAGLETS: A System for Automatic Semi-Supervised Learning with Auxiliary Data. ![Search on Bibsonomy](Pics/bibsonomy.png) |
MLSys ![In: Proceedings of Machine Learning and Systems 2022, MLSys 2022, Santa Clara, CA, USA, August 29 - September 1, 2022, 2022, mlsys.org. The full citation details ...](Pics/full.jpeg) |
2022 |
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1 | Yi Ding 0006, Avinash Rao, Hyebin Song, Rebecca Willett, Henry Hoffmann |
NURD: Negative-Unlabeled Learning for Online Datacenter Straggler Prediction. ![Search on Bibsonomy](Pics/bibsonomy.png) |
MLSys ![In: Proceedings of Machine Learning and Systems 2022, MLSys 2022, Santa Clara, CA, USA, August 29 - September 1, 2022, 2022, mlsys.org. The full citation details ...](Pics/full.jpeg) |
2022 |
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1 | Bojian Zheng, Ziheng Jiang, Cody Hao Yu, Haichen Shen, Joshua Fromm, Yizhi Liu, Yida Wang 0003, Luis Ceze, Tianqi Chen 0001, Gennady Pekhimenko |
DietCode: Automatic Optimization for Dynamic Tensor Programs. ![Search on Bibsonomy](Pics/bibsonomy.png) |
MLSys ![In: Proceedings of Machine Learning and Systems 2022, MLSys 2022, Santa Clara, CA, USA, August 29 - September 1, 2022, 2022, mlsys.org. The full citation details ...](Pics/full.jpeg) |
2022 |
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1 | Andrew Or, Haoyu Zhang, Michael None Freedman |
VirtualFlow: Decoupling Deep Learning Models from the Underlying Hardware. ![Search on Bibsonomy](Pics/bibsonomy.png) |
MLSys ![In: Proceedings of Machine Learning and Systems 2022, MLSys 2022, Santa Clara, CA, USA, August 29 - September 1, 2022, 2022, mlsys.org. The full citation details ...](Pics/full.jpeg) |
2022 |
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1 | Vijay Janapa Reddi, David Kanter, Peter Mattson, Jared Duke, Thai Nguyen, Ramesh Chukka, Kenneth Shiring, Koan-Sin Tan, Mark Charlebois, William Chou, Mostafa El-Khamy, Jungwook Hong, Tom St. John, Cindy Trinh, Michael Buch, Mark Mazumder, Relja Markovic, Thomas Atta-fosu, Fatih Çakir, Masoud Charkhabi, Xiaodong Chen, Cheng-Ming Chiang, Dave Dexter, Terry Heo, Guenther Schmuelling, Maryam Shabani, Dylan Zika |
MLPerf Mobile Inference Benchmark: An Industry-Standard Open-Source Machine Learning Benchmark for On-Device AI. ![Search on Bibsonomy](Pics/bibsonomy.png) |
MLSys ![In: Proceedings of Machine Learning and Systems 2022, MLSys 2022, Santa Clara, CA, USA, August 29 - September 1, 2022, 2022, mlsys.org. The full citation details ...](Pics/full.jpeg) |
2022 |
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1 | Yimin Huang, Yujun Li, Hanrong Ye, Zhenguo Li, Zhihua Zhang |
Improving Model Training with Multi-fidelity Hyperparameter Evaluation. ![Search on Bibsonomy](Pics/bibsonomy.png) |
MLSys ![In: Proceedings of Machine Learning and Systems 2022, MLSys 2022, Santa Clara, CA, USA, August 29 - September 1, 2022, 2022, mlsys.org. The full citation details ...](Pics/full.jpeg) |
2022 |
DBLP BibTeX RDF |
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1 | Zhiqiang Xie, Minjie Wang, Zihao Ye 0001, Zheng Zhang 0001, Rui Fan |
Graphiler: Optimizing Graph Neural Networks with Message Passing Data Flow Graph. ![Search on Bibsonomy](Pics/bibsonomy.png) |
MLSys ![In: Proceedings of Machine Learning and Systems 2022, MLSys 2022, Santa Clara, CA, USA, August 29 - September 1, 2022, 2022, mlsys.org. The full citation details ...](Pics/full.jpeg) |
2022 |
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1 | Carole-Jean Wu, Ramya Raghavendra, Udit Gupta, Bilge Acun, Newsha Ardalani, Kiwan Maeng, Gloria Chang, Fiona Aga Behram, Jinshi Huang, Charles Bai, Michael Gschwind, Anurag Gupta, Myle Ott, Anastasia Melnikov, Salvatore Candido, David Brooks 0001, Geeta Chauhan, Benjamin Lee, Hsien-Hsin S. Lee, Bugra Akyildiz, Maximilian Balandat, Joe Spisak, Ravi Jain, Mike Rabbat, Kim M. Hazelwood |
Sustainable AI: Environmental Implications, Challenges and Opportunities. ![Search on Bibsonomy](Pics/bibsonomy.png) |
MLSys ![In: Proceedings of Machine Learning and Systems 2022, MLSys 2022, Santa Clara, CA, USA, August 29 - September 1, 2022, 2022, mlsys.org. The full citation details ...](Pics/full.jpeg) |
2022 |
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1 | Xinfeng Xie, Prakash Prabhu, Ulysse Beaugnon, Phitchaya Mangpo Phothilimthana, Sudip Roy 0002, Azalia Mirhoseini, Eugene Brevdo, James Laudon, Yanqi Zhou |
A Transferable Approach for Partitioning Machine Learning Models on Multi-Chip-Modules. ![Search on Bibsonomy](Pics/bibsonomy.png) |
MLSys ![In: Proceedings of Machine Learning and Systems 2022, MLSys 2022, Santa Clara, CA, USA, August 29 - September 1, 2022, 2022, mlsys.org. The full citation details ...](Pics/full.jpeg) |
2022 |
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1 | Yunfeng Lin, Guilin Li, Xing Zhang, Weinan Zhang 0001, Bo Chen 0023, Ruiming Tang, Zhenguo Li, Jiashi Feng, Yong Yu 0001 |
ModularNAS: Towards Modularized and Reusable Neural Architecture Search. ![Search on Bibsonomy](Pics/bibsonomy.png) |
MLSys ![In: Proceedings of Machine Learning and Systems 2021, MLSys 2021, virtual, April 5-9, 2021, 2021, mlsys.org. The full citation details ...](Pics/full.jpeg) |
2021 |
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1 | Chunxing Yin, Bilge Acun, Carole-Jean Wu, Xing Liu |
TT-Rec: Tensor Train Compression for Deep Learning Recommendation Models. ![Search on Bibsonomy](Pics/bibsonomy.png) |
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2021 |
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1 | Colby R. Banbury, Chuteng Zhou, Igor Fedorov, Ramon Matas Navarro, Urmish Thakker, Dibakar Gope, Vijay Janapa Reddi, Matthew Mattina, Paul N. Whatmough |
MicroNets: Neural Network Architectures for Deploying TinyML Applications on Commodity Microcontrollers. ![Search on Bibsonomy](Pics/bibsonomy.png) |
MLSys ![In: Proceedings of Machine Learning and Systems 2021, MLSys 2021, virtual, April 5-9, 2021, 2021, mlsys.org. The full citation details ...](Pics/full.jpeg) |
2021 |
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1 | Benoit Steiner, Chris Cummins, Horace He, Hugh Leather |
Value Learning for Throughput Optimization of Deep Learning Workloads. ![Search on Bibsonomy](Pics/bibsonomy.png) |
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2021 |
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1 | Shang Wang 0002, Peiming Yang, Yuxuan Zheng, Xin Li, Gennady Pekhimenko |
Horizontally Fused Training Array: An Effective Hardware Utilization Squeezer for Training Novel Deep Learning Models. ![Search on Bibsonomy](Pics/bibsonomy.png) |
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2021 |
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1 | Nadeen Gebara, Manya Ghobadi, Paolo Costa |
In-network Aggregation for Shared Machine Learning Clusters. ![Search on Bibsonomy](Pics/bibsonomy.png) |
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2021 |
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1 | Omid Aramoon, Pin-Yu Chen, Gang Qu 0001 |
Don't Forget to Sign the Gradients! ![Search on Bibsonomy](Pics/bibsonomy.png) |
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2021 |
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1 | Nathalie Rauschmayr, Vikas Kumar, Rahul Huilgol, Andrea Olgiati, Satadal Bhattacharjee, Nihal Harish, Vandana Kannan, Amol Lele, Anirudh Acharya, Jared Nielsen, Lakshmi Ramakrishnan, Ishan Bhatt, Kohen Chia, Neelesh Dodda, Zhihan Li, Jiacheng Gu, Miyoung Choi, Balajee Nagarajan, Jeffrey Geevarghese, Denis Davydenko, Sifei Li, Lu Huang, Edward Kim, Tyler Hill, Krishnaram Kenthapadi |
Amazon SageMaker Debugger: A System for Real-Time Insights into Machine Learning Model Training. ![Search on Bibsonomy](Pics/bibsonomy.png) |
MLSys ![In: Proceedings of Machine Learning and Systems 2021, MLSys 2021, virtual, April 5-9, 2021, 2021, mlsys.org. The full citation details ...](Pics/full.jpeg) |
2021 |
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1 | Christoph Müller, François Serre, Gagandeep Singh 0001, Markus Püschel, Martin T. Vechev |
Scaling Polyhedral Neural Network Verification on GPUs. ![Search on Bibsonomy](Pics/bibsonomy.png) |
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2021 |
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1 | Bharathan Balaji, Christopher Kakovitch, Balakrishnan Narayanaswamy |
FirePlace: Placing Firecraker Virtual Machines with Hindsight Imitation. ![Search on Bibsonomy](Pics/bibsonomy.png) |
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2021 |
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1 | Chi Wang 0001, Qingyun Wu, Markus Weimer, Erkang Zhu |
FLAML: A Fast and Lightweight AutoML Library. ![Search on Bibsonomy](Pics/bibsonomy.png) |
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2021 |
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1 | Shabnam Daghaghi, Nicholas Meisburger, Mengnan Zhao, Anshumali Shrivastava |
Accelerating SLIDE Deep Learning on Modern CPUs: Vectorization, Quantizations, Memory Optimizations, and More. ![Search on Bibsonomy](Pics/bibsonomy.png) |
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2021 |
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1 | Konstantinos Konstantinidis, Aditya Ramamoorthy |
ByzShield: An Efficient and Robust System for Distributed Training. ![Search on Bibsonomy](Pics/bibsonomy.png) |
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2021 |
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1 | Kiwan Maeng, Shivam Bharuka, Isabel Gao, Mark C. Jeffrey, Vikram Saraph, Bor-Yiing Su, Caroline Trippel, Jiyan Yang, Mike Rabbat, Brandon Lucia, Carole-Jean Wu |
Understanding and Improving Failure Tolerant Training for Deep Learning Recommendation with Partial Recovery. ![Search on Bibsonomy](Pics/bibsonomy.png) |
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2021 |
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1 | Peifeng Yu, Jiachen Liu, Mosharaf Chowdhury |
Fluid: Resource-aware Hyperparameter Tuning Engine. ![Search on Bibsonomy](Pics/bibsonomy.png) |
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1 | Yue Zhao 0016, Xiyang Hu, Cheng Cheng 0001, Cong Wang, Changlin Wan, Wen Wang, Jianing Yang, Haoping Bai, Zheng Li, Cao Xiao, Yunlong Wang, Zhi Qiao 0007, Jimeng Sun 0001, Leman Akoglu |
SUOD: Accelerating Large-Scale Unsupervised Heterogeneous Outlier Detection. ![Search on Bibsonomy](Pics/bibsonomy.png) |
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1 | Lucas Liebenwein, Cenk Baykal, Brandon Carter 0001, David Gifford 0001, Daniela Rus |
Lost in Pruning: The Effects of Pruning Neural Networks beyond Test Accuracy. ![Search on Bibsonomy](Pics/bibsonomy.png) |
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2021 |
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1 | Hongyi Wang 0001, Saurabh Agarwal, Dimitris S. Papailiopoulos |
Pufferfish: Communication-efficient Models At No Extra Cost. ![Search on Bibsonomy](Pics/bibsonomy.png) |
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2021 |
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1 | Bowen Yang, Jian Zhang 0049, Jonathan Li 0002, Christopher Ré, Christopher R. Aberger, Christopher De Sa |
PipeMare: Asynchronous Pipeline Parallel DNN Training. ![Search on Bibsonomy](Pics/bibsonomy.png) |
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2021 |
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1 | Saurabh Agarwal, Hongyi Wang 0001, Kangwook Lee 0001, Shivaram Venkataraman, Dimitris S. Papailiopoulos |
Adaptive Gradient Communication via Critical Learning Regime Identification. ![Search on Bibsonomy](Pics/bibsonomy.png) |
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2021 |
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1 | Ahmed M. Abdelmoniem, Ahmed Elzanaty, Mohamed-Slim Alouini, Marco Canini |
An Efficient Statistical-based Gradient Compression Technique for Distributed Training Systems. ![Search on Bibsonomy](Pics/bibsonomy.png) |
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2021 |
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1 | Giulio Zhou, Martin Maas 0001 |
Learning on Distributed Traces for Data Center Storage Systems. ![Search on Bibsonomy](Pics/bibsonomy.png) |
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2021 |
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1 | Guixiang Ma, Yao Xiao, Theodore L. Willke, Nesreen K. Ahmed, Shahin Nazarian, Paul Bogdan |
A Distributed Graph-Theoretic Framework for Automatic Parallelization in Multi-core Systems. ![Search on Bibsonomy](Pics/bibsonomy.png) |
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2021 |
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1 | Guanhua Wang, Zhuang Liu 0003, Brandon Hsieh, Siyuan Zhuang, Joseph Gonzalez 0001, Trevor Darrell, Ion Stoica |
sensAI: ConvNets Decomposition via Class Parallelism for Fast Inference on Live Data. ![Search on Bibsonomy](Pics/bibsonomy.png) |
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2021 |
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1 | Xiaohu Tang, Shihao Han, Li Lyna Zhang, Ting Cao, Yunxin Liu |
To Bridge Neural Network Design and Real-World Performance: A Behaviour Study for Neural Networks. ![Search on Bibsonomy](Pics/bibsonomy.png) |
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2021 |
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1 | Steve Dai, Rangharajan Venkatesan, Mark Ren, Brian Zimmer, William J. Dally, Brucek Khailany |
VS-Quant: Per-vector Scaled Quantization for Accurate Low-Precision Neural Network Inference. ![Search on Bibsonomy](Pics/bibsonomy.png) |
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2021 |
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1 | Guanhua Wang, Kehan Wang, Kenan Jiang, Xiangjun Li, Ion Stoica |
Wavelet: Efficient DNN Training with Tick-Tock Scheduling. ![Search on Bibsonomy](Pics/bibsonomy.png) |
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2021 |
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1 | Shantanu Mandal, Todd A. Anderson 0001, Javier Turek, Justin Gottschlich, Shengtian Zhou, Abdullah Muzahid |
Learning Fitness Functions for Machine Programming. ![Search on Bibsonomy](Pics/bibsonomy.png) |
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2021 |
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1 | Brennan Saeta, Denys Shabalin |
Swift for TensorFlow: A portable, flexible platform for deep learning. ![Search on Bibsonomy](Pics/bibsonomy.png) |
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2021 |
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1 | Isak Edo Vivancos, Sayeh Sharify, Daniel Ly-Ma, Ameer Abdelhadi, Ciaran Bannon, Milos Nikolic 0002, Mostafa Mahmoud, Alberto Delmas Lascorz, Gennady Pekhimenko, Andreas Moshovos |
Boveda: Building an On-Chip Deep Learning Memory Hierarchy Brick by Brick. ![Search on Bibsonomy](Pics/bibsonomy.png) |
MLSys ![In: Proceedings of Machine Learning and Systems 2021, MLSys 2021, virtual, April 5-9, 2021, 2021, mlsys.org. The full citation details ...](Pics/full.jpeg) |
2021 |
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1 | Riyadh Baghdadi, Massinissa Merouani, Mohamed-Hicham Leghettas, Kamel Abdous, Taha Arbaoui, Karima Benatchba, Saman P. Amarasinghe |
A Deep Learning Based Cost Model for Automatic Code Optimization. ![Search on Bibsonomy](Pics/bibsonomy.png) |
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2021 |
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1 | Andrei Ivanov, Nikoli Dryden, Tal Ben-Nun, Shigang Li 0002, Torsten Hoefler |
Data Movement Is All You Need: A Case Study on Optimizing Transformers. ![Search on Bibsonomy](Pics/bibsonomy.png) |
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2021 |
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1 | Xavier Bouthillier, Pierre Delaunay, Mirko Bronzi, Assya Trofimov, Brennan Nichyporuk, Justin Szeto, Nazanin Mohammadi Sepahvand, Edward Raff, Kanika Madan, Vikram Voleti, Samira Ebrahimi Kahou, Vincent Michalski, Tal Arbel, Chris Pal, Gaël Varoquaux, Pascal Vincent |
Accounting for Variance in Machine Learning Benchmarks. ![Search on Bibsonomy](Pics/bibsonomy.png) |
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2021 |
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1 | Yichen Yang 0008, Phitchaya Mangpo Phothilimthana, Yisu Remy Wang, Max Willsey, Sudip Roy 0002, Jacques Pienaar |
Equality Saturation for Tensor Graph Superoptimization. ![Search on Bibsonomy](Pics/bibsonomy.png) |
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2021 |
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1 | Alex Smola, Alex Dimakis, Ion Stoica (eds.) |
Proceedings of Machine Learning and Systems 2021, MLSys 2021, virtual, April 5-9, 2021 ![Search on Bibsonomy](Pics/bibsonomy.png) |
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2021 |
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1 | Atli Kosson, Vitaliy Chiley, Abhinav Venigalla, Joel Hestness, Urs Köster |
Pipelined Backpropagation at Scale: Training Large Models without Batches. ![Search on Bibsonomy](Pics/bibsonomy.png) |
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2021 |
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1 | Hamzah Abdel-Aziz, Ali Shafiee, Jong Hoon Shin, Ardavan Pedram, Joseph Hassoun |
Rethinking Floating Point Overheads for Mixed Precision DNN Accelerators. ![Search on Bibsonomy](Pics/bibsonomy.png) |
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2021 |
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1 | Urmish Thakker, Paul N. Whatmough, Zhi Gang Liu, Matthew Mattina, Jesse G. Beu |
Doping: A technique for Extreme Compression of LSTM Models using Sparse Structured Additive Matrices. ![Search on Bibsonomy](Pics/bibsonomy.png) |
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2021 |
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1 | Sameer Kumar, Yu Emma Wang, Cliff Young, James Bradbury, Naveen Kumar, Dehao Chen, Andy Swing |
Exploring the Limits of Concurrency in ML Training on Google TPUS. ![Search on Bibsonomy](Pics/bibsonomy.png) |
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2021 |
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1 | Haichen Shen, Jared Roesch, Zhi Chen 0030, Wei Chen, Yong Wu, Mu Li 0003, Vin Sharma, Zachary Tatlock, Yida Wang 0003 |
Nimble: Efficiently Compiling Dynamic Neural Networks for Model Inference. ![Search on Bibsonomy](Pics/bibsonomy.png) |
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2021 |
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1 | Shaohuai Shi, Xianhao Zhou, Shutao Song, Xingyao Wang 0002, Zilin Zhu, Xue Huang, Xinan Jiang, Feihu Zhou, Zhenyu Guo, Liqiang Xie, Rui Lan, Xianbin Ouyang, Yan Zhang, Jieqian Wei, Jing Gong, Weiliang Lin, Ping Gao, Peng Meng, Xiaomin Xu, Chenyang Guo, Bo Yang, Zhibo Chen 0006, Yongjian Wu, Xiaowen Chu 0001 |
Towards Scalable Distributed Training of Deep Learning on Public Cloud Clusters. ![Search on Bibsonomy](Pics/bibsonomy.png) |
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2021 |
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1 | James Gleeson 0001, Moshe Gabel, Gennady Pekhimenko, Eyal de Lara, Srivatsan Krishnan, Vijay Janapa Reddi |
RL-Scope: Cross-stack Profiling for Deep Reinforcement Learning Workloads. ![Search on Bibsonomy](Pics/bibsonomy.png) |
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2021 |
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1 | David Stutz, Nandhini Chandramoorthy, Matthias Hein 0001, Bernt Schiele |
Bit Error Robustness for Energy-Efficient DNN Accelerators. ![Search on Bibsonomy](Pics/bibsonomy.png) |
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1 | Tom Bannink, Adam Hillier, Lukas Geiger, Tim de Bruin, Leon Overweel, Jelmer Neeven, Koen Helwegen |
Larq Compute Engine: Design, Benchmark and Deploy State-of-the-Art Binarized Neural Networks. ![Search on Bibsonomy](Pics/bibsonomy.png) |
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1 | Pratik Fegade, Tianqi Chen, Phillip B. Gibbons, Todd C. Mowry |
Cortex: A Compiler for Recursive Deep Learning Models. ![Search on Bibsonomy](Pics/bibsonomy.png) |
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1 | Yaoyao Ding, Ligeng Zhu, Zhihao Jia, Gennady Pekhimenko, Song Han 0003 |
IOS: Inter-Operator Scheduler for CNN Acceleration. ![Search on Bibsonomy](Pics/bibsonomy.png) |
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1 | Toshiaki Wakatsuki, Sekitoshi Kanai, Yasuhiro Fujiwara |
Accelerate Inference of CNNs for Video Analysis While Preserving Exactness Exploiting Activation Sparsity. ![Search on Bibsonomy](Pics/bibsonomy.png) |
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1 | Wenqi Jiang, Zhenhao He, Shuai Zhang, Thomas B. Preußer, Kai Zeng 0002, Liang Feng, Jiansong Zhang, Tongxuan Liu, Yong Li, Jingren Zhou, Ce Zhang 0001, Gustavo Alonso |
MicroRec: Efficient Recommendation Inference by Hardware and Data Structure Solutions. ![Search on Bibsonomy](Pics/bibsonomy.png) |
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