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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.  |
MLSys  |
2022 |
DBLP BibTeX RDF |
|
| 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. |
MLSys |
2022 |
DBLP BibTeX RDF |
|
| 1 | Saurabh Agarwal, Hongyi Wang 0001, Shivaram Venkataraman, Dimitris S. Papailiopoulos |
On the Utility of Gradient Compression in Distributed Training Systems. |
MLSys |
2022 |
DBLP BibTeX RDF |
|
| 1 | Oznur Alkan, Dennis Wei, Massimiliano Mattetti, Rahul Nair, Elizabeth Daly, Diptikalyan Saha |
FROTE: Feedback Rule-Driven Oversampling for Editing Models. |
MLSys |
2022 |
DBLP BibTeX RDF |
|
| 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. |
MLSys |
2022 |
DBLP BibTeX RDF |
|
| 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. |
MLSys |
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. |
MLSys |
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. |
MLSys |
2022 |
DBLP BibTeX RDF |
|
| 1 | Zhiming Hu, Angela Ning Ye, Iqbal Mohomed |
mmSampler: Efficient Frame Sampler for Multimodal Video Retrieval. |
MLSys |
2022 |
DBLP BibTeX RDF |
|
| 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. |
MLSys |
2022 |
DBLP BibTeX RDF |
|
| 1 | Jaeyeon Won, Jeyeon Si, Sam Son, Tae Jun Ham, Jae W. Lee |
ULPPACK: Fast Sub-8-bit Matrix Multiply on Commodity SIMD Hardware. |
MLSys |
2022 |
DBLP BibTeX RDF |
|
| 1 | Ankur Mallick, Kevin Hsieh, Behnaz Arzani, Gauri Joshi |
Matchmaker: Data Drift Mitigation in Machine Learning for Large-Scale Systems. |
MLSys |
2022 |
DBLP BibTeX RDF |
|
| 1 | Ningning Xie, Tamara Norman, Dominik Grewe, Dimitrios Vytiniotis |
Synthesizing Optimal Parallelism Placement and Reduction Strategies on Hierarchical Systems for Deep Learning. |
MLSys |
2022 |
DBLP BibTeX RDF |
|
| 1 | Pratik Fegade, Tianqi Chen, Phillip B. Gibbons, Todd C. Mowry |
The CoRa Tensor Compiler: Compilation for Ragged Tensors with Minimal Padding. |
MLSys |
2022 |
DBLP BibTeX RDF |
|
| 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. |
MLSys |
2022 |
DBLP BibTeX RDF |
|
| 1 | Donglin Zhuang, Xingyao Zhang, Shuaiwen Song, Sara Hooker |
Randomness in Neural Network Training: Characterizing the Impact of Tooling. |
MLSys |
2022 |
DBLP BibTeX RDF |
|
| 1 | Aditya Desai, Li Chou, Anshumali Shrivastava |
Random Offset Block Embedding (ROBE) for compressed embedding tables in deep learning recommendation systems. |
MLSys |
2022 |
DBLP BibTeX RDF |
|
| 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. |
MLSys |
2022 |
DBLP BibTeX RDF |
|
| 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. |
MLSys |
2022 |
DBLP BibTeX RDF |
|
| 1 | James K. Reed, Zachary DeVito, Horace He, Ansley Ussery, Jason Ansel |
torch.fx: Practical Program Capture and Transformation for Deep Learning in Python. |
MLSys |
2022 |
DBLP BibTeX RDF |
|
| 1 | Niketan Pansare, Jay Katukuri, Aditya Arora, Frank Cipollone, Riyaaz Shaik, Noyan Tokgozoglu, Chandru Venkataraman |
Learning Compressed Embeddings for On-Device Inference. |
MLSys |
2022 |
DBLP BibTeX RDF |
|
| 1 | Jiwon Seo |
Gyro Dropout: Maximizing Ensemble Effect in Neural Network Training. |
MLSys |
2022 |
DBLP BibTeX RDF |
|
| 1 | Hippolyt Ritter, Theofanis Karaletsos |
TyXe: Pyro-based Bayesian neural nets for Pytorch. |
MLSys |
2022 |
DBLP BibTeX RDF |
|
| 1 | Shurui Li, Puneet Gupta 0001 |
Bit-serial Weight Pools: Compression and Arbitrary Precision Execution of Neural Networks on Resource Constrained Processors. |
MLSys |
2022 |
DBLP BibTeX RDF |
|
| 1 | Corey J. Nolet, Divye Gala, Edward Raff, Joe Eaton, Brad Rees, Tim Oates 0001 |
GPU Semiring Primitives for Sparse Neighborhood Methods. |
MLSys |
2022 |
DBLP BibTeX RDF |
|
| 1 | Hesham Mostafa |
Sequential Aggregation and Rematerialization: Distributed Full-batch Training of Graph Neural Networks on Large Graphs. |
MLSys |
2022 |
DBLP BibTeX RDF |
|
| 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. |
MLSys |
2022 |
DBLP BibTeX RDF |
|
| 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. |
MLSys |
2022 |
DBLP BibTeX RDF |
|
| 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. |
MLSys |
2022 |
DBLP BibTeX RDF |
|
| 1 | Runsheng Guo 0003, Victor Guo, Antonio Kim, Josh Hildred, Khuzaima Daudjee |
Hydrozoa: Dynamic Hybrid-Parallel DNN Training on Serverless Containers. |
MLSys |
2022 |
DBLP BibTeX RDF |
|
| 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. |
MLSys |
2022 |
DBLP BibTeX RDF |
|
| 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. |
MLSys |
2022 |
DBLP BibTeX RDF |
|
| 1 | Michael Kuchnik, Ana Klimovic, Jiri Simsa, Virginia Smith, George Amvrosiadis |
Plumber: Diagnosing and Removing Performance Bottlenecks in Machine Learning Data Pipelines. |
MLSys |
2022 |
DBLP BibTeX RDF |
|
| 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. |
MLSys |
2022 |
DBLP BibTeX RDF |
|
| 1 | Kuntai Du, Qizheng Zhang, Anton Arapin, Haodong Wang, Zhengxu Xia, Junchen Jiang |
AccMPEG: Optimizing Video Encoding for Accurate Video Analytics. |
MLSys |
2022 |
DBLP BibTeX RDF |
|
| 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. |
MLSys |
2022 |
DBLP BibTeX RDF |
|
| 1 | Junguk Cho, Diman Zad Tootaghaj, Lianjie Cao, Puneet Sharma |
SLA-Driven ML Inference Framework for Clouds with Hetergeneous Accelerators. |
MLSys |
2022 |
DBLP BibTeX RDF |
|
| 1 | Seo Jin Park, Joshua Fried, Sunghyun Kim, Mohammad Alizadeh, Adam Belay |
Efficient Strong Scaling Through Burst Parallel Training. |
MLSys |
2022 |
DBLP BibTeX RDF |
|
| 1 | Haotian Tang, Zhijian Liu, Xiuyu Li, Yujun Lin 0001, Song Han 0003 |
TorchSparse: Efficient Point Cloud Inference Engine. |
MLSys |
2022 |
DBLP BibTeX RDF |
|
| 1 | Liang Luo, Peter West, Pratyush Patel, Arvind Krishnamurthy, Luis Ceze |
SRIFTY: Swift and Thrifty Distributed Neural Network Training on the Cloud. |
MLSys |
2022 |
DBLP BibTeX RDF |
|
| 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 |
MLSys |
2022 |
DBLP BibTeX RDF |
|
| 1 | Zirui Xu, Fuxun Yu, Jinjun Xiong, Xiang Chen 0010 |
QuadraLib: A Performant Quadratic Neural Network Library for Architecture Optimization and Design Exploration. |
MLSys |
2022 |
DBLP BibTeX RDF |
|
| 1 | John Chen 0002, Cameron R. Wolfe, Tasos Kyrillidis |
REX: Revisiting Budgeted Training with an Improved Schedule. |
MLSys |
2022 |
DBLP BibTeX RDF |
|
| 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. |
MLSys |
2022 |
DBLP BibTeX RDF |
|
| 1 | Yi Ding 0006, Avinash Rao, Hyebin Song, Rebecca Willett, Henry Hoffmann |
NURD: Negative-Unlabeled Learning for Online Datacenter Straggler Prediction. |
MLSys |
2022 |
DBLP BibTeX RDF |
|
| 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. |
MLSys |
2022 |
DBLP BibTeX RDF |
|
| 1 | Andrew Or, Haoyu Zhang, Michael None Freedman |
VirtualFlow: Decoupling Deep Learning Models from the Underlying Hardware. |
MLSys |
2022 |
DBLP BibTeX RDF |
|
| 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. |
MLSys |
2022 |
DBLP BibTeX RDF |
|
| 1 | Yimin Huang, Yujun Li, Hanrong Ye, Zhenguo Li, Zhihua Zhang |
Improving Model Training with Multi-fidelity Hyperparameter Evaluation. |
MLSys |
2022 |
DBLP BibTeX RDF |
|
| 1 | Zhiqiang Xie, Minjie Wang, Zihao Ye 0001, Zheng Zhang 0001, Rui Fan |
Graphiler: Optimizing Graph Neural Networks with Message Passing Data Flow Graph. |
MLSys |
2022 |
DBLP BibTeX RDF |
|
| 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. |
MLSys |
2022 |
DBLP BibTeX RDF |
|
| 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. |
MLSys |
2022 |
DBLP BibTeX RDF |
|
| 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. |
MLSys |
2021 |
DBLP BibTeX RDF |
|
| 1 | Chunxing Yin, Bilge Acun, Carole-Jean Wu, Xing Liu |
TT-Rec: Tensor Train Compression for Deep Learning Recommendation Models. |
MLSys |
2021 |
DBLP BibTeX RDF |
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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. |
MLSys |
2021 |
DBLP BibTeX RDF |
|
| 1 | Benoit Steiner, Chris Cummins, Horace He, Hugh Leather |
Value Learning for Throughput Optimization of Deep Learning Workloads. |
MLSys |
2021 |
DBLP BibTeX RDF |
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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. |
MLSys |
2021 |
DBLP BibTeX RDF |
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| 1 | Nadeen Gebara, Manya Ghobadi, Paolo Costa |
In-network Aggregation for Shared Machine Learning Clusters. |
MLSys |
2021 |
DBLP BibTeX RDF |
|
| 1 | Omid Aramoon, Pin-Yu Chen, Gang Qu 0001 |
Don't Forget to Sign the Gradients! |
MLSys |
2021 |
DBLP BibTeX RDF |
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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. |
MLSys |
2021 |
DBLP BibTeX RDF |
|
| 1 | Christoph Müller, François Serre, Gagandeep Singh 0001, Markus Püschel, Martin T. Vechev |
Scaling Polyhedral Neural Network Verification on GPUs. |
MLSys |
2021 |
DBLP BibTeX RDF |
|
| 1 | Bharathan Balaji, Christopher Kakovitch, Balakrishnan Narayanaswamy |
FirePlace: Placing Firecraker Virtual Machines with Hindsight Imitation. |
MLSys |
2021 |
DBLP BibTeX RDF |
|
| 1 | Chi Wang 0001, Qingyun Wu, Markus Weimer, Erkang Zhu |
FLAML: A Fast and Lightweight AutoML Library. |
MLSys |
2021 |
DBLP BibTeX RDF |
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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. |
MLSys |
2021 |
DBLP BibTeX RDF |
|
| 1 | Konstantinos Konstantinidis, Aditya Ramamoorthy |
ByzShield: An Efficient and Robust System for Distributed Training. |
MLSys |
2021 |
DBLP BibTeX RDF |
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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. |
MLSys |
2021 |
DBLP BibTeX RDF |
|
| 1 | Peifeng Yu, Jiachen Liu, Mosharaf Chowdhury |
Fluid: Resource-aware Hyperparameter Tuning Engine. |
MLSys |
2021 |
DBLP BibTeX RDF |
|
| 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. |
MLSys |
2021 |
DBLP BibTeX RDF |
|
| 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. |
MLSys |
2021 |
DBLP BibTeX RDF |
|
| 1 | Hongyi Wang 0001, Saurabh Agarwal, Dimitris S. Papailiopoulos |
Pufferfish: Communication-efficient Models At No Extra Cost. |
MLSys |
2021 |
DBLP BibTeX RDF |
|
| 1 | Bowen Yang, Jian Zhang 0049, Jonathan Li 0002, Christopher Ré, Christopher R. Aberger, Christopher De Sa |
PipeMare: Asynchronous Pipeline Parallel DNN Training. |
MLSys |
2021 |
DBLP BibTeX RDF |
|
| 1 | Saurabh Agarwal, Hongyi Wang 0001, Kangwook Lee 0001, Shivaram Venkataraman, Dimitris S. Papailiopoulos |
Adaptive Gradient Communication via Critical Learning Regime Identification. |
MLSys |
2021 |
DBLP BibTeX RDF |
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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. |
MLSys |
2021 |
DBLP BibTeX RDF |
|
| 1 | Giulio Zhou, Martin Maas 0001 |
Learning on Distributed Traces for Data Center Storage Systems. |
MLSys |
2021 |
DBLP BibTeX RDF |
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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. |
MLSys |
2021 |
DBLP BibTeX RDF |
|
| 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. |
MLSys |
2021 |
DBLP BibTeX RDF |
|
| 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. |
MLSys |
2021 |
DBLP BibTeX RDF |
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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. |
MLSys |
2021 |
DBLP BibTeX RDF |
|
| 1 | Guanhua Wang, Kehan Wang, Kenan Jiang, Xiangjun Li, Ion Stoica |
Wavelet: Efficient DNN Training with Tick-Tock Scheduling. |
MLSys |
2021 |
DBLP BibTeX RDF |
|
| 1 | Shantanu Mandal, Todd A. Anderson 0001, Javier Turek, Justin Gottschlich, Shengtian Zhou, Abdullah Muzahid |
Learning Fitness Functions for Machine Programming. |
MLSys |
2021 |
DBLP BibTeX RDF |
|
| 1 | Brennan Saeta, Denys Shabalin |
Swift for TensorFlow: A portable, flexible platform for deep learning. |
MLSys |
2021 |
DBLP BibTeX RDF |
|
| 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. |
MLSys |
2021 |
DBLP BibTeX RDF |
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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. |
MLSys |
2021 |
DBLP BibTeX RDF |
|
| 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. |
MLSys |
2021 |
DBLP BibTeX RDF |
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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. |
MLSys |
2021 |
DBLP BibTeX RDF |
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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. |
MLSys |
2021 |
DBLP BibTeX RDF |
|
| 1 | Alex Smola, Alex Dimakis, Ion Stoica (eds.) |
Proceedings of Machine Learning and Systems 2021, MLSys 2021, virtual, April 5-9, 2021 |
MLSys |
2021 |
DBLP BibTeX RDF |
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| 1 | Atli Kosson, Vitaliy Chiley, Abhinav Venigalla, Joel Hestness, Urs Köster |
Pipelined Backpropagation at Scale: Training Large Models without Batches. |
MLSys |
2021 |
DBLP BibTeX RDF |
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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. |
MLSys |
2021 |
DBLP BibTeX RDF |
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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. |
MLSys |
2021 |
DBLP BibTeX RDF |
|
| 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. |
MLSys |
2021 |
DBLP BibTeX RDF |
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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. |
MLSys |
2021 |
DBLP BibTeX RDF |
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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. |
MLSys |
2021 |
DBLP BibTeX RDF |
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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. |
MLSys |
2021 |
DBLP BibTeX RDF |
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| 1 | David Stutz, Nandhini Chandramoorthy, Matthias Hein 0001, Bernt Schiele |
Bit Error Robustness for Energy-Efficient DNN Accelerators. |
MLSys |
2021 |
DBLP BibTeX RDF |
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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. |
MLSys |
2021 |
DBLP BibTeX RDF |
|
| 1 | Pratik Fegade, Tianqi Chen, Phillip B. Gibbons, Todd C. Mowry |
Cortex: A Compiler for Recursive Deep Learning Models. |
MLSys |
2021 |
DBLP BibTeX RDF |
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| 1 | Yaoyao Ding, Ligeng Zhu, Zhihao Jia, Gennady Pekhimenko, Song Han 0003 |
IOS: Inter-Operator Scheduler for CNN Acceleration. |
MLSys |
2021 |
DBLP BibTeX RDF |
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| 1 | Toshiaki Wakatsuki, Sekitoshi Kanai, Yasuhiro Fujiwara |
Accelerate Inference of CNNs for Video Analysis While Preserving Exactness Exploiting Activation Sparsity. |
MLSys |
2021 |
DBLP BibTeX RDF |
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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. |
MLSys |
2021 |
DBLP BibTeX RDF |
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