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
2021	PPIR: Parallel Pattern Intermediate Representation.	Adrian Schmitz, Julian Miller, Lukas Trmper, Matthias S. Mller
2021	ELIχR: Eliminating Computation Redundancy in CNN-Based Video Processing.	Jordan Schmerge, Daniel Mawhirter, Connor Holmes, Jedidiah McClurg, Bo Wu
2021	Scalable adaptive PDE solvers in arbitrary domains.	Kumar Saurabh, Masado Ishii, Milinda Fernando, Boshun Gao, Kendrick Tan, Ming-Chen Hsu, Adarsh Krishnamurthy, Hari Sundar, Baskar Ganapathysubramanian
2021	Case study of SARS-CoV-2 transmission risk assessment in indoor environments using cloud computing resources.	Kumar Saurabh, Santi Adavani, Kendrick Tan, Masado Ishii, Boshun Gao, Adarsh Krishnamurthy, Hari Sundar, Baskar Ganapathysubramanian
2021	PAGANI: a parallel adaptive GPU algorithm for numerical integration.	Ioannis Sakiotis, Kamesh Arumugam, Marc F. Paterno, Desh Ranjan, Balsa Terzic, Mohammad Zubair
2021	Towards High Productivity and Performance for Irregular Applications in Chapel.	Thomas B. Rolinger, Joseph Craft, Christopher D. Krieger, Alan Sussman
2021	MAPA: multi-accelerator pattern allocation policy for multi-tenant GPU servers.	Kiran Ranganath, Joshua D. Suetterlein, Joseph B. Manzano, Shuaiwen Leon Song, Daniel Wong
2021	ZeRO-infinity: breaking the GPU memory wall for extreme scale deep learning.	Samyam Rajbhandari, Olatunji Ruwase, Jeff Rasley, Shaden Smith, Yuxiong He
2021	PEPPA-X: finding program test inputs to bound silent data corruption vulnerability in HPC applications.	Md Hasanur Rahman, Aabid Shamji, Shengjian Guo, Guanpeng Li
2021	Minimizing privilege for building HPC containers.	Reid Priedhorsky, Shane Richard Canon, Timothy Randles, Andrew J. Younge
2021	Distributing Higher-Dimensional Simulations Across Compute Systems: A Widely Distributed Combination Technique.	Theresa Pollinger, Marcel Hurler, Michael Obersteiner, Dirk Pflger
2021	KAISA: an adaptive second-order optimizer framework for deep neural networks.	J. Gregory Pauloski, Qi Huang, Lei Huang, Shivaram Venkataraman, Kyle Chard, Ian T. Foster, Zhao Zhang
2021	HPAC: evaluating approximate computing techniques on HPC OpenMP applications.	Konstantinos Parasyris, Giorgis Georgakoudis, Harshitha Menon, James Diffenderfer, Ignacio Laguna, Daniel Osei-Kuffuor, Markus Schordan
2021	SEEC: stochastic escape express channel.	Mayank Parasar, Natalie D. Enright Jerger, Paul V. Gratz, Joshua San Miguel, Tushar Krishna
2021	Billion atom molecular dynamics simulations of carbon at extreme conditions and experimental time and length scales.	Kien Nguyen-Cong, Jonathan T. Willman, Stan G. Moore, Anatoly B. Belonoshko, Rahulkumar Gayatri, Evan Weinberg, Mitchell A. Wood, Aidan P. Thompson, Ivan I. Oleynik
2021	Efficient large-scale language model training on GPU clusters using megatron-LM.	Deepak Narayanan, Mohammad Shoeybi, Jared Casper, Patrick LeGresley, Mostofa Patwary, Vijay Korthikanti, Dmitri Vainbrand, Prethvi Kashinkunti, Julie Bernauer, Bryan Catanzaro, Amar Phanishayee, Matei Zaharia
2021	Preparing an incompressible-flow fluid dynamics code for exascale-class wind energy simulations.	Paul Mullowney, Ruipeng Li, Stephen J. Thomas, Shreyas Ananthan, Ashesh Sharma, Jon S. Rood, Alan B. Williams, Michael A. Sprague
2021	Simurgh: a fully decentralized and secure NVMM user space file system.	Nafiseh Moti, Frederic Schimmelpfennig, Reza Salkhordeh, David Klopp, Toni Cortes, Ulrich Rckert, Andr Brinkmann
2021	Reverse-mode automatic differentiation and optimization of GPU kernels via enzyme.	William S. Moses, Valentin Churavy, Ludger Paehler, Jan Hckelheim, Sri Hari Krishna Narayanan, Michel Schanen, Johannes Doerfert
2021	Hardware acceleration of tensor-structured multilevel ewald summation method on MDGRAPE-4A, a special-purpose computer system for molecular dynamics simulations.	Gentaro Morimoto, Yohei M. Koyama, Hao Zhang, Teruhisa S. Komatsu, Yousuke Ohno, Keigo Nishida, Itta Ohmura, Hiroshi Koyama, Makoto Taiji
2021	Comparing LLC-Memory Traffic between CPU and GPU Architectures.	Mohammad Alaul Haque Monil, Seyong Lee, Jeffrey S. Vetter, Allen D. Malony
2021	DistGNN: scalable distributed training for large-scale graph neural networks.	Md. Vasimuddin, Sanchit Misra, Guixiang Ma, Ramanarayan Mohanty, Evangelos Georganas, Alexander Heinecke, Dhiraj D. Kalamkar, Nesreen K. Ahmed, Sasikanth Avancha
2021	Paths to OpenMP in the kernel.	Jiacheng Ma, Wenyi Wang, Aaron Nelson, Michael Cuevas, Brian Homerding, Conghao Liu, Zhen Huang, Simone Campanoni, Kyle C. Hale, Peter A. Dinda
2021	PyParSVD: A streaming, distributed and randomized singular-value-decomposition library.	Romit Maulik, Gianmarco Mengaldo
2021	BAASH: lightweight, efficient, and reliable blockchain-as-a-service for HPC systems.	Abdullah Al-Mamun, Feng Yan, Dongfang Zhao

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