International Conference for High Performance Computing, Networking, Storage and Analysis (was Supercomputing Conference)

CORE rank

CORE rank (raw)

Fields of research

Computer Systems Engineering · Distributed Computing and Systems Software

Papers indexed

6,069

1988–2025

Best Systems and Networking conferences Best Computer Systems Engineering conferences

Papers per year

1988458 peak2025

Most published authors

SC papers

6,069 records sourced from DBLP. Search titles, filter by year, sort by recency.

Year	Title	Authors
2020	Pangeo Benchmarking Analysis: Object Storage vs. POSIX File System.	Haiying Xu, Kevin Paul, Anderson Banihirwe
2020	Simulation-Based Performance Prediction of HPC Applications: A Case Study of HPL.	Gen Xu, Huda Ibeid, Xin Jiang, Vjekoslav Svilan, Zhaojuan Bian
2020	MPI Meets Cloud: Case Study with Amazon EC2 and Microsoft Azure.	Shulei Xu, Seyedeh Mahdieh Ghazimirsaeed, Jahanzeb Maqbool Hashmi, Hari Subramoni, Dhabaleswar K. Panda
2020	MoHA: a composable system for efficient in-situ analytics on heterogeneous HPC systems.	Haoyuan Xing, Gagan Agrawal, Rajiv Ramnath
2020	Kraken: memory-efficient continual learning for large-scale real-time recommendations.	Minhui Xie, Kai Ren, Youyou Lu, Guangxu Yang, Qingxing Xu, Bihai Wu, Jiazhen Lin, Hongbo Ao, Wanhong Xu, Jiwu Shu
2020	Exascale potholes for HPC: Execution performance and variability analysis of the flagship application code HemeLB.	Brian J. N. Wylie
2020	ROBIN (RuciO/BIgData Express/SENSE) A Next-Generation High-Performance Data Service Platform.	Wenji Wu, Liang Zhang, Qiming Lu, Phil DeMar, Robert Illingworth, Joe Mambretti, Se-Young Yu, Jim Hao Chen, Inder Monga, Xi Yang, Tom Lehman, Chin Guok, John MacAuley
2020	Deep Learning-based Low-dose Tomography Reconstruction with Hybrid-dose Measurements.	Ziling Wu, Tekin Bicer, Zhengchun Liu, Vincent De Andrade, Yunhui Zhu, Ian T. Foster
2020	High-bypass Learning: Automated Detection of Tumor Cells That Significantly Impact Drug Response.	Justin M. Wozniak, Hyun Seung Yoo, Jamaludin Mohd-Yusof, Bogdan Nicolae, Nicholson T. Collier, Jonathan Ozik, Thomas S. Brettin, Rick Stevens
2020	Refining Fortran Failed Images.	Nathan T. Weeks, Glenn R. Luecke, Gurpur M. Prabhu
2020	Time-Based Roofline for Deep Learning Performance Analysis.	Yunsong Wang, Charlene Yang, Steven Farrell, Yan Zhang, Thorsten Kurth, Samuel Williams
2020	Metis: learning to schedule long-running applications in shared container clusters at scale.	Luping Wang, Qizhen Weng, Wei Wang, Chen Chen, Bo Li
2020	Processing full-scale square kilometre array data on the summit supercomputer.	Ruonan Wang, Rodrigo Tobar, Markus Dolensky, Tao An, Andreas Wicenec, Chen Wu, Fred Dulwich, Norbert Podhorszki, Valentine Anantharaj, Eric Suchyta, Bao-qiang Lao, Scott Klasky
2020	An efficient and non-intrusive GPU scheduling framework for deep learning training systems.	Shaoqi Wang, Oscar J. Gonzalez, Xiaobo Zhou, Thomas Williams, Brian D. Friedman, Martin Havemann, Thomas Y. C. Woo
2020	Pencil: a pipelined algorithm for distributed stencils.	Hengjie Wang, Aparna Chandramowlishwaran
2020	Performance and Portability of a Linear Solver Across Emerging Architectures.	Aaron C. Walden, Mohammad Zubair, Eric J. Nielsen
2020	Scaling distributed deep learning workloads beyond the memory capacity with KARMA.	Mohamed Wahib, Haoyu Zhang, Truong Thao Nguyen, Aleksandr Drozd, Jens Domke, Lingqi Zhang, Ryousei Takano, Satoshi Matsuoka
2020	Toward an Automated HPC Pipeline for Processing Large Scale Electron Microscopy Data.	Rafael Vescovi, Hanyu Li, Jeffery Kinnison, Murat Keeli, Misha Salim, Narayanan Kasthuri, Thomas D. Uram, Nicola J. Ferrier
2020	Enhancing DataRaceBench for Evaluating Data Race Detection Tools.	Gaurav Verma, Yaying Shi, Chunhua Liao, Barbara M. Chapman, Yonghong Yan
2020	TopiQAL: Topic-aware Question Answering using Scalable Domain-specific Supercomputers.	Hamsa Shwetha Venkataram, Chris A. Mattmann, J. Scott Penberthy
2020	Applying Parallel and Distributed Computing Curriculum to Cyber Security Courses.	Radu Velea, Valentin Ilie, Ion Bica
2020	The NetSage Measurement Framework: Design, Development, and Discoveries.	Katrina Turner, Mahesh Khanal, Tyson Seto-Mook, Alberto Gonzalez, Jason Leigh, Andrew Lake, Sartaj Singh Baveha, Samir Faci, Brian Tierney, Daniel Doyle, Lisa Ensman, Jennifer M. Schopf, Douglas Southworth, Edward Balas
2020	Reducing communication in graph neural network training.	Alok Tripathy, Katherine A. Yelick, Aydin Bulu
2020	Iris: allocation banking and identity and access management for the exascale era.	Gabor Torok, Mark R. Day, Rebecca Hartman-Baker, Cory Snavely
2020	Reducing Queuing Impact in Irregular Data Streaming Applications.	Stephen W. Timcheck, Jeremy D. Buhler

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Comparable venues

Other A*/A conferences filed under the same field of research.