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Proceedings and Papers
The research papers from Conference Proceedings and workshops listed below are available free of charge, thanks to our commitment to Open Access.
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For proceedings prior to 1993, check our online index in traditional refer format and place your order via the Offprints Order Form.
Papers
| Conference | Title | Author(s) |
|---|---|---|
| HotStorage '19 | Mismatched Memory Management of Android Smartphones | Yu Liang, Qiao Li, Chun Jason Xue |
| HotStorage '19 | Linearizable Quorum Reads in Paxos | Aleksey Charapko, Ailidani Ailijiang, Murat Demirbas |
| HotStorage '19 | Jungle: Towards Dynamically Adjustable Key-Value Store by Combining LSM-Tree and Copy-On-Write B+-Tree | Jung-Sang Ahn, Mohiuddin Abdul Qader, Woon-Hak Kang, Hieu Nguyen, Guogen Zhang, Sami Ben-Romdhane |
| HotStorage '19 | Respecting the block interface – computational storage using virtual objects | Ian F. Adams, John Keys, Michael P. Mesnier |
| HotStorage '19 | A Tale of Two Abstractions: The Case for Object Space | Daniel Bittman, Peter Alvaro, Darrell D. E. Long, Ethan L. Miller |
| HotStorage '19 | An Ounce of Prevention is Worth a Pound of Cure: Ahead-of-time Preparation for Safe High-level Container Interfaces | Ricardo Koller, Dan Williams |
| HotStorage '19 | The Case for Dual-access File Systems over Object Storage | Kunal Lillaney, Vasily Tarasov, David Pease, Randal Burns |
| HotStorage '19 | File Systems as Processes | Jing Liu, Andrea C. Arpaci-Dusseau, Remzi H. Arpaci-Dusseau, Sudarsun Kannan |
| HotStorage '19 | Filesystem Aging: It’s more Usage than Fullness | Alex Conway, Eric Knorr, Yizheng Jiao, Michael A. Bender, William Jannen, Rob Johnson, Donald Porter, Martin Farach-Colton |
| HotStorage '19 | EvFS: User-level, Event-Driven File System for Non-Volatile Memory | Takeshi Yoshimura, Tatsuhiro Chiba, Hiroshi Horii |
| HotStorage '19 | Specialize in Moderation—Building Application-aware Storage Services using FPGAs in the Datacenter | Lucas Kuhring, Eva Garcia, Zsolt István |
| HotStorage '19 | Automating Context-Based Access Pattern Hint Injection for System Performance and Swap Storage Durability | SeongJae Park, Yunjae Lee, Moonsub Kim, Heon Y. Yeom |
| HotStorage '19 | Caching in the Multiverse | Mania Abdi, Amin Mosayyebzadeh, Mohammad Hossein Hajkazemi, Ata Turk, Orran Krieger, Peter Desnoyers |
| HotStorage '19 | Reducing Garbage Collection Overhead in SSD Based on Workload Prediction | Pan Yang, Ni Xue, Yuqi Zhang, Yangxu Zhou, Li Sun, Wenwen Chen, Zhonggang Chen, Wei Xia, Junke Li, Kihyoun Kwon |
| HotStorage '19 | Sentinel Cells Enabled Fast Read for NAND Flash | Qiao Li, Min Ye, Yufei Cui, Liang Shi, Xiaoqiang Li, Chun Jason Xue |
| HotStorage '19 | Fair Resource Allocation in Consolidated Flash Systems | Wonil Choi, Bhuvan Urgaonkar, Mahmut Kandemir, Myoungsoo Jung |
| OpML '19 | tensorflow-tracing: A Performance Tuning Framework for Production | Sayed Hadi Hashemi, Paul Rausch, Benjamin Rabe, Kuan-Yen Chou, Simeng Liu, Volodymyr Kindratenko, Roy H Campbell |
| OpML '19 | Continuous Training for Production ML in the TensorFlow Extended (TFX) Platform | Denis Baylor, Kevin Haas, Konstantinos Katsiapis, Sammy Leong, Rose Liu, Clemens Menwald, Hui Miao, Neoklis Polyzotis, Mitchell Trott, Martin Zinkevich |
| OpML '19 | Shooting the moving target: machine learning in cybersecurity | Ankit Arun, Ignacio Arnaldo |
| OpML '19 | Deep Learning Inference Service at Microsoft | Jonathan Soifer, Jason Li, Mingqin Li, Jeffrey Zhu, Yingnan Li, Yuxiong He, Elton Zheng, Adi Oltean, Maya Mosyak, Chris Barnes, Thomas Liu, Junhua Wang |
| OpML '19 | Accelerating Large Scale Deep Learning Inference through DeepCPU at Microsoft | Minjia Zhang, Samyam Rajbandari, Wenhan Wang, Elton Zheng, Olatunji Ruwase, Jeff Rasley, Jason Li, Junhua Wang, Yuxiong He |
| OpML '19 | Towards Taming the Resource and Data Heterogeneity in Federated Learning | Zheng Chai, Hannan Fayyaz, Zeshan Fayyaz, Ali Anwar, Yi Zhou, Nathalie Baracaldo, Heiko Ludwig, Yue Cheng |
| OpML '19 | Opportunities and Challenges Of Machine Learning Accelerators In Production | Rajagopal Ananthanarayanan, Peter Brandt, Manasi Joshi, Maheswaran Sathiamoorthy |
| OpML '19 | Stratum: A Serverless Framework for the Lifecycle Management of Machine Learning-based Data Analytics Tasks | Anirban Bhattacharjee, Yogesh Barve, Shweta Khare, Shunxing Bao, Aniruddha Gokhale, Thomas Damiano |
| OpML '19 | KnowledgeNet: Disaggregated and Distributed Training and Serving of Deep Neural Networks | Saman Biookaghazadeh, Yitao Chen, Kaiqi Zhao, Ming Zhao |