---
title: "2012 International Conference for High Performance"
description: "2012 International Conference for High Performance Computing, Networking, Storage and Analysis 2020 — accepted papers: 1 paper in the…"
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# 2012 International Conference for High Performance Computing, Networking, Storage and Analysis 2020 — accepted papers

2012 International Conference for High Performance Computing, Networking, Storage and Analysis 2020 is the 2020 edition of the 2012 International Conference for High Performance Computing, Networking, Storage and Analysis. OpenAlex lists 104 papers of it; our library holds 1 with our summaries. Below: the most cited papers, every accepted paper, and ours with their topics, authors and institutions.

[**104** papers in the proceedings](#all) · [**1** work in our library](https://md.research.elamur.ai/free/en/venues/2012-international-conference-for-high-performance-computing-networking-storage/2020/#works) · [**259** citations of these works](https://md.research.elamur.ai/free/en/venues/2012-international-conference-for-high-performance-computing-networking-storage/2020/#works)

## Most cited papers

By their OpenAlex citations; a paper with our summary links to its page here, the others to the original.

1. **[ZeRO: Memory optimizations Toward Training Trillion Parameter Models ↗](https://doi.org/10.1109/sc41405.2020.00024)**Samyam Rajbhandari, Jeff Rasley, Olatunji Ruwase et al.*892 citations*
2. **[Pushing the Limit of Molecular Dynamics with Ab Initio Accuracy to 100 Million Atoms with Machine Learning ↗](https://doi.org/10.1109/sc41405.2020.00009)**Weile Jia, Han Wang, Mohan Chen et al.*247 citations*
3. **[BATCH: Machine Learning Inference Serving on Serverless Platforms with Adaptive Batching ↗](https://doi.org/10.1109/sc41405.2020.00073)**Ahsan Zil E. Ali, Riccardo Pinciroli, Feng Yan et al.*186 citations*
4. **[Sparse GPU Kernels for Deep Learning](https://md.research.elamur.ai/free/en/papers/gale-2020-sparse-gpu-kernels-deep-learning/)**Trevor Gale, Matei Zaharia, Cliff Young et al.*169 citations · our summary*
5. **[GE-SpMM: General-Purpose Sparse Matrix-Matrix Multiplication on GPUs for Graph Neural Networks ↗](https://doi.org/10.1109/sc41405.2020.00076)**Guyue Huang, Guohao Dai, Yu Wang et al.*134 citations*
6. **[An In-Depth Analysis of the Slingshot Interconnect ↗](https://doi.org/10.1109/sc41405.2020.00039)**Daniele De Sensi, Salvatore Di Girolamo, Kim H. McMahon et al.*122 citations*
7. **[Co-Design for A64FX Manycore Processor and ”Fugaku” ↗](https://doi.org/10.1109/sc41405.2020.00051)**Mitsuhisa Sato, Yutaka Ishikawa, Hirofumi Tomita et al.*110 citations*
8. **[MESHFREEFLOWNET: A Physics-Constrained Deep Continuous Space-Time Super-Resolution Framework ↗](https://doi.org/10.1109/sc41405.2020.00013)**Chiyu lMaxr Jiang, Soheil Esmaeilzadeh, Kamyar Azizzadenesheli et al.*105 citations*
9. **[RLScheduler: An Automated HPC Batch Job Scheduler Using Reinforcement Learning ↗](https://doi.org/10.1109/sc41405.2020.00035)**Di Zhang, Dong Dai, Youbiao He et al.*98 citations*
10. **[GraphPi: High Performance Graph Pattern Matching through Effective Redundancy Elimination ↗](https://doi.org/10.1109/sc41405.2020.00104)**Tianhui Shi, Mingshu Zhai, Yi Xu et al.*73 citations*

## All accepted papers (104)

The most cited first; 1 with our summary link to their page here, the others to the original.

1. **[ZeRO: Memory optimizations Toward Training Trillion Parameter Models ↗](https://doi.org/10.1109/sc41405.2020.00024)**Samyam Rajbhandari, Jeff Rasley, Olatunji Ruwase et al.*892 citations*
2. **[Pushing the Limit of Molecular Dynamics with Ab Initio Accuracy to 100 Million Atoms with Machine Learning ↗](https://doi.org/10.1109/sc41405.2020.00009)**Weile Jia, Han Wang, Mohan Chen et al.*247 citations*
3. **[BATCH: Machine Learning Inference Serving on Serverless Platforms with Adaptive Batching ↗](https://doi.org/10.1109/sc41405.2020.00073)**Ahsan Zil E. Ali, Riccardo Pinciroli, Feng Yan et al.*186 citations*
4. **[Sparse GPU Kernels for Deep Learning](https://md.research.elamur.ai/free/en/papers/gale-2020-sparse-gpu-kernels-deep-learning/)**Trevor Gale, Matei Zaharia, Cliff Young et al.*169 citations · our summary*
5. **[GE-SpMM: General-Purpose Sparse Matrix-Matrix Multiplication on GPUs for Graph Neural Networks ↗](https://doi.org/10.1109/sc41405.2020.00076)**Guyue Huang, Guohao Dai, Yu Wang et al.*134 citations*
6. **[An In-Depth Analysis of the Slingshot Interconnect ↗](https://doi.org/10.1109/sc41405.2020.00039)**Daniele De Sensi, Salvatore Di Girolamo, Kim H. McMahon et al.*122 citations*
7. **[Co-Design for A64FX Manycore Processor and ”Fugaku” ↗](https://doi.org/10.1109/sc41405.2020.00051)**Mitsuhisa Sato, Yutaka Ishikawa, Hirofumi Tomita et al.*110 citations*
8. **[MESHFREEFLOWNET: A Physics-Constrained Deep Continuous Space-Time Super-Resolution Framework ↗](https://doi.org/10.1109/sc41405.2020.00013)**Chiyu lMaxr Jiang, Soheil Esmaeilzadeh, Kamyar Azizzadenesheli et al.*105 citations*
9. **[RLScheduler: An Automated HPC Batch Job Scheduler Using Reinforcement Learning ↗](https://doi.org/10.1109/sc41405.2020.00035)**Di Zhang, Dong Dai, Youbiao He et al.*98 citations*
10. **[GraphPi: High Performance Graph Pattern Matching through Effective Redundancy Elimination ↗](https://doi.org/10.1109/sc41405.2020.00104)**Tianhui Shi, Mingshu Zhai, Yi Xu et al.*73 citations*
11. **[Accelerating Sparse DNN Models without Hardware-Support via Tile-Wise Sparsity ↗](https://doi.org/10.1109/sc41405.2020.00020)**Cong Guo, Bo Yang Hsueh, Jingwen Leng et al.*69 citations*
12. **[Fast Stencil-Code Computation on a Wafer-Scale Processor ↗](https://doi.org/10.1109/sc41405.2020.00062)**Kamil Rocki, Dirk T. Van Essendelft, Ilya Sharapov et al.*69 citations*
13. **[FeatGraph: A Flexible and Efficient Backend for Graph Neural Network Systems ↗](https://doi.org/10.1109/sc41405.2020.00075)**Yuwei Hu, Zihao Ye, Minjie Wang et al.*66 citations*
14. **[Reducing Communication in Graph Neural Network Training ↗](https://doi.org/10.1109/sc41405.2020.00074)**Alok Tripathy, Katherine Yelick, Aydın Buluç*66 citations*
15. **[Task Bench: A Parameterized Benchmark for Evaluating Parallel Runtime Performance ↗](https://doi.org/10.1109/sc41405.2020.00066)**Elliott Slaughter, Wei Wu, Yuankun Fu et al.*53 citations*
16. **[C-SAW: A Framework for Graph Sampling and Random Walk on GPUs ↗](https://doi.org/10.1109/sc41405.2020.00060)**Santosh Pandey, Lingda Li, Adolfy Hoisie et al.*51 citations*
17. **[GEMS: GPU-Enabled Memory-Aware Model-Parallelism System for Distributed DNN Training ↗](https://doi.org/10.1109/sc41405.2020.00049)**Arpan Jain, Ammar Ahmad Awan, Asmaa Aljuhani et al.*48 citations*
18. **[Job Characteristics on Large-Scale Systems: Long-Term Analysis, Quantification, and Implications ↗](https://doi.org/10.1109/sc41405.2020.00088)**Tirthak Patel, Zhengchun Liu, Raj Kettimuthu et al.*48 citations*
19. **[Recurrent Neural Network Architecture Search for Geophysical Emulation ↗](https://doi.org/10.1109/sc41405.2020.00012)**Romit Maulik, Romain Égelé, Bethany Lusch et al.*48 citations*
20. **[Smart-PGSim: Using Neural Network to Accelerate AC-OPF Power Grid Simulation ↗](https://doi.org/10.1109/sc41405.2020.00067)**Wenqian Dong, Zhen Xie, Gökçen Kestor et al.*47 citations*
21. **[Metis: Learning to Schedule Long-Running Applications in Shared Container Clusters at Scale ↗](https://doi.org/10.1109/sc41405.2020.00072)**Luping Wang, Qizhen Weng, Wei Wang et al.*46 citations*
22. **[Optimizing Deep Learning Recommender Systems Training on CPU Cluster Architectures ↗](https://doi.org/10.1109/sc41405.2020.00047)**Dhiraj D. Kalamkar, Evangelos Georganas, Sudarshan Srinivasan et al.*41 citations*
23. **[Accelerating Large-Scale Excited-State GW Calculations on Leadership HPC Systems ↗](https://doi.org/10.1109/sc41405.2020.00008)**Mauro Del Ben, Charlene Yang, Zhenglu Li et al.*39 citations*
24. **[Density Matrix Quantum Circuit Simulation via the BSP Machine on Modern GPU Clusters ↗](https://doi.org/10.1109/sc41405.2020.00017)**Ang Li, Omer Subasi, Xiu Yang et al.*38 citations*
25. **[GPU Lifetimes on Titan Supercomputer: Survival Analysis and Reliability ↗](https://doi.org/10.1109/sc41405.2020.00045)**George Ostrouchov A, Don Maxwell, Rizwan A. Ashraf et al.*38 citations*

[See all 104 papers in 2012 International Conference for High Performance Computing, Networking, Storage and Analysis 2020 — accepted papers →](https://md.research.elamur.ai/free/en/venues/2012-international-conference-for-high-performance-computing-networking-storage/2020/papers/)

## Papers with our summary in our library (1)

The most cited first (OpenAlex citations plus our library's).

1. **[Sparse GPU Kernels for Deep Learning](https://md.research.elamur.ai/free/en/papers/gale-2020-sparse-gpu-kernels-deep-learning/) [2012 International Conference for High Performance Computing, Networking, Storage and Analysis](https://md.research.elamur.ai/free/en/venues/2012-international-conference-for-high-performance-computing-networking-storage/)**Trevor Gale, Matei Zaharia, Cliff Young, et al.*2020 · 259 citations*

## Top topics

Topics of its works in our library, with the number of works on each.

[GPU & parallel computing (1)](https://md.research.elamur.ai/free/en/topics/gpu-parallel-computing/)

## Fields

[Computer Science (1)](https://md.research.elamur.ai/free/en/shelves/computer-science/)

## Top authors

Authors with a page who published here most often: their works here, and the citations of those works.

[🧑‍🔬**Cliff Young**1 work here · 259 citations](https://md.research.elamur.ai/free/en/authors/cliff-young/) · [🧑‍🔬**Erich Elsen**1 work here · 259 citations](https://md.research.elamur.ai/free/en/authors/erich-elsen/) · [🧑‍🔬**Matei Zaharia**1 work here · 259 citations](https://md.research.elamur.ai/free/en/authors/matei-zaharia/)

## Top institutions

Institutions on the bylines of its works here, by the number of works.

[🏢**Google** Mountain View · United States 1 work here](https://md.research.elamur.ai/free/en/companies/google/) · [🏢**Google DeepMind** London · United Kingdom 1 work here](https://md.research.elamur.ai/free/en/companies/google-deepmind/) · [🎓**Stanford University** Stanford · United States 1 work here](https://md.research.elamur.ai/free/en/universities/stanford-university/)

works and citations from OpenAlex and our library.

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