• case-insensitive prefix search: default
  e.g., sig matches "SIGIR" as well as "signal"
• exact word search: append dollar sign ($) to word
  e.g., graph$ matches "graph", but not "graphics"
• boolean and: separate words by space
  e.g., codd model
• boolean or: connect words by pipe symbol (|)
  e.g., graph|network

Update May 7, 2017: Please note that we had to disable the phrase search operator (.) and the boolean not operator (-) due to technical problems. For the time being, phrase search queries will yield regular prefix search result, and search terms preceded by a minus will be interpreted as regular (positive) search terms.

found 22 matches

• 2024
• 
  Tailing Yuan, Yuliang Liu, Xucheng Ye, Shenglong Zhang, Jianchao Tan, Bin Chen, Chengru Song, Di Zhang:
  Accelerating the Training of Large Language Models using Efficient Activation Rematerialization and Optimal Hybrid Parallelism. USENIX ATC 2024: 545-561
• 2023
• 
  Manuela Schuler, Richard Membarth, Philipp Slusallek:
  XEngine: Optimal Tensor Rematerialization for Neural Networks in Heterogeneous Environments. ACM Trans. Archit. Code Optim. 20(1): 17:1-17:25 (2023)
• 
  Burak Bartan, Haoming Li, Harris Teague, Christopher Lott, Bistra Dilkina:
  Moccasin: Efficient Tensor Rematerialization for Neural Networks. ICML 2023: 1826-1837
• 
  Burak Bartan, Haoming Li, Harris Teague, Christopher Lott, Bistra Dilkina:
  Moccasin: Efficient Tensor Rematerialization for Neural Networks. CoRR abs/2304.14463 (2023)
• 2022
• 
  Shishir G. Patil, Paras Jain, Prabal Dutta, Ion Stoica, Joseph Gonzalez:
  POET: Training Neural Networks on Tiny Devices with Integrated Rematerialization and Paging. ICML 2022: 17573-17583
• 
  Hesham Mostafa:
  Sequential Aggregation and Rematerialization: Distributed Full-batch Training of Graph Neural Networks on Large Graphs. MLSys 2022
• 
  Shishir G. Patil, Paras Jain, Prabal Dutta, Ion Stoica, Joseph E. Gonzalez:
  POET: Training Neural Networks on Tiny Devices with Integrated Rematerialization and Paging. CoRR abs/2207.07697 (2022)
• 
  Manuela Schuler, Richard Membarth, Philipp Slusallek:
  XEngine: Optimal Tensor Rematerialization for Neural Networks in Heterogeneous Environments. CoRR abs/2212.09290 (2022)
• 2021
• 
  Selma Pereira, Adérito Fernandes Marcos:
  Inside the embroidery. The rematerialization of traditional embroidery in a post-digital approach: No interior do bordado. A rematerialização do bordado numa vertente pós-digital. ARTECH 2021: 115:1-115:3
• 
  Marisa Kirisame, Steven Lyubomirsky, Altan Haan, Jennifer Brennan, Mike He, Jared Roesch, Tianqi Chen, Zachary Tatlock:
  Dynamic Tensor Rematerialization. ICLR 2021
• 
  Olivier Beaumont, Lionel Eyraud-Dubois, Alena Shilova:
  Efficient Combination of Rematerialization and Offloading for Training DNNs. NeurIPS 2021: 23844-23857
• 
  Hesham Mostafa:
  Sequential Aggregation and Rematerialization: Distributed Full-batch Training of Graph Neural Networks on Large Graphs. CoRR abs/2111.06483 (2021)
• 2020
• 
  Paras Jain, Ajay Jain, Aniruddha Nrusimha, Amir Gholami, Pieter Abbeel, Kurt Keutzer, Ion Stoica, Joseph Gonzalez:
  Checkmate: Breaking the Memory Wall with Optimal Tensor Rematerialization. MLSys 2020
• 
  Marisa Kirisame, Steven Lyubomirsky, Altan Haan, Jennifer Brennan, Mike He, Jared Roesch, Tianqi Chen, Zachary Tatlock:
  Dynamic Tensor Rematerialization. CoRR abs/2006.09616 (2020)
• 2019
• 
  Manuel Schmuck, Luca Benini, Abbas Rahimi:
  Hardware Optimizations of Dense Binary Hyperdimensional Computing: Rematerialization of Hypervectors, Binarized Bundling, and Combinational Associative Memory. ACM J. Emerg. Technol. Comput. Syst. 15(4): 32:1-32:25 (2019)
• 
  Ravi Kumar, Manish Purohit, Zoya Svitkina, Erik Vee, Joshua R. Wang:
  Efficient Rematerialization for Deep Networks. NeurIPS 2019: 15146-15155
• 
  Paras Jain, Ajay Jain, Aniruddha Nrusimha, Amir Gholami, Pieter Abbeel, Kurt Keutzer, Ion Stoica, Joseph E. Gonzalez:
  Checkmate: Breaking the Memory Wall with Optimal Tensor Rematerialization. CoRR abs/1910.02653 (2019)
• 2018
• 
  Manuel Schmuck, Luca Benini, Abbas Rahimi:
  Hardware Optimizations of Dense Binary Hyperdimensional Computing: Rematerialization of Hypervectors, Binarized Bundling, and Combinational Associative Memory. CoRR abs/1807.08583 (2018)
• 2011
• 
  Mouad Bahi, Christine Eisenbeis:
  Rematerialization-based register allocation through reverse computing. Conf. Computing Frontiers 2011: 24
• 2005
• 
  Naohiro Ishii, Hiroaki Ogi, Tsubasa Mochizuki, Kazunori Iwata:
  Parallelism Improvements of Software Pipelining by Combining Spilling with Rematerialization. KES (1) 2005: 820-826
• 1992
• 
  Preston Briggs, Keith D. Cooper, Linda Torczon:
  Rematerialization. PLDI 1992: 311-321
• 1983
• 
  Eugene Wong:
  Dynamic Rematerialization: Processing Distributed Queries Using Redundant Data. IEEE Trans. Software Eng. 9(3): 228-232 (1983)