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Scaling distributed deep learning workloads beyond the memory capacity with KARMA.

M. Wahib, H. Zhang, T. Nguyen, A. Drozd, J. Domke, L. Zhang, R. Takano, and S. Matsuoka. SC, page 19. IEEE/ACM, (2020)

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Lingqi Meng

Zhang Zhang

Meng Zhang

Methods and implementations of road-network matchingM. Zhang. TU München, (2009)

Shuying Zhang

Chengdian Zhang

Other publications of authors with the same name

Hybrid Recommender System Based on Personal Behavior Mining.Z. Fang, L. Zhang, and K. Chen. CoRR, (2016)PERKS: a Locality-Optimized Execution Model for Iterative Memory-bound GPU Applications.L. Zhang, M. Wahib, P. Chen, J. Meng, X. Wang, T. Endo, and S. Matsuoka. ICS, page 167-179. ACM, (2023)CloudGT: A High Performance Genome Analysis Toolkit Leveraging Pipeline Optimization on Spark.A. Xiao, S. Dong, C. Liu, L. Zhang, and Z. Wu. BIBM, page 1343-1350. IEEE Computer Society, (2018)Matrix Engines for High Performance Computing: A Paragon of Performance or Grasping at Straws?J. Domke, E. Vatai, A. Drozd, P. Chen, Y. Oyama, L. Zhang, S. Salaria, D. Mukunoki, A. Podobas, M. Wahib and 1 other author(s). CoRR, (2020)Persistent Kernels for Iterative Memory-bound GPU Applications.L. Zhang, M. Wahib, P. Chen, J. Meng, X. Wang, and S. Matsuoka. CoRR, (2022)Revisiting Temporal Blocking Stencil Optimizations.L. Zhang, M. Wahib, P. Chen, J. Meng, X. Wang, T. Endo, and S. Matsuoka. ICS, page 251-263. ACM, (2023)A Study of Single and Multi-device Synchronization Methods in Nvidia GPUs.L. Zhang, M. Wahib, H. Zhang, and S. Matsuoka. IPDPS, page 483-493. IEEE, (2020)Matrix Engines for High Performance Computing: A Paragon of Performance or Grasping at Straws?J. Domke, E. Vatai, A. Drozd, P. Chen, Y. Oyama, L. Zhang, S. Salaria, D. Mukunoki, A. Podobas, M. Wahib and 1 other author(s). IPDPS, page 1056-1065. IEEE, (2021)Inferring Restricted Regular Expressions with Interleaving from Positive and Negative Samples.Y. Li, H. Chen, L. Zhang, B. Huang, and J. Zhang. PAKDD (2), volume 12085 of Lecture Notes in Computer Science, page 769-781. Springer, (2020)An effective algorithm for learning single occurrence regular expressions with interleaving.Y. Li, H. Chen, X. Zhang, and L. Zhang. IDEAS, page 24:1-24:10. ACM, (2019)

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Disambiguation of "Zhang, Lingqi"

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Scaling distributed deep learning workloads beyond the memory capacity with KARMA.

Please choose a person to relate this publication to

Lingqi Meng

Zhang Zhang

Meng Zhang

Shuying Zhang

Chengdian Zhang

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Zhang, Lingqi"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Scaling distributed deep learning workloads beyond the memory capacity with KARMA.

Please choose a person to relate this publication to

Lingqi Meng

Zhang Zhang

Meng Zhang

Shuying Zhang

Chengdian Zhang

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
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history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
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Scaling distributed deep learning workloads beyond the memory capacity with KARMA.