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	Accelerating large scale	Muaaz Gul Awan, Steven Hofmeyr, Rob Egan, Nan Ding, Aydin Bulu, Jack Deslippe, Leonid Oliker, Katherine A. Yelick
2021	Online optimization of file transfers in high-speed networks.	Md. Arifuzzaman, Engin Arslan
2021	Hybrid, scalable, trace-driven performance modeling of GPGPUs.	Yehia Arafa, Abdel-Hameed A. Badawy, Ammar ElWazir, Atanu Barai, Ali Eker, Gopinath Chennupati, Nandakishore Santhi, Stephan J. Eidenbenz
2021	Evaluating Multi-Level Checkpointing for Distributed Deep Neural Network Training.	Quentin Anthony, Donglai Dai
2021	In-depth analyses of unified virtual memory system for GPU accelerated computing.	Tyler N. Allen, Rong Ge
2021	The hidden cost of the edge: a performance comparison of edge and cloud latencies.	Ahmed Ali-Eldin, Bin Wang, Prashant J. Shenoy
2021	Multi-tenancy Management and Zero Downtime Upgrades using Cray-HPE Shasta Supercomputers.	Sadaf R. Alam, Miguel Gila, Mark Klein, Maxime Martinasso
2021	Discovering and balancing fundamental cycles in large signed graphs.	Ghadeer Alabandi, Jelena Tesic, Lucas Rusnak, Martin Burtscher
2021	LMFF: efficient and scalable layered materials force field on heterogeneous many-core processors.	Ping Gao, Xiaohui Duan, Jiaxu Guo, Jin Wang, Zhenya Song, Lizhen Cui, Xiangxu Meng, Xin Liu, Wusheng Zhang, Ming Ma, Guohui Li, Dexun Chen, Haohuan Fu, Wei Xue, Weiguo Liu, Guangwen Yang
2021	Pilgrim: scalable and (near) lossless MPI tracing.	Chen Wang, Pavan Balaji, Marc Snir
2021	LCCG: a locality-centric hardware accelerator for high throughput of concurrent graph processing.	Jin Zhao, Yu Zhang, Xiaofei Liao, Ligang He, Bingsheng He, Hai Jin, Haikun Liu
2021	Chimera: efficiently training large-scale neural networks with bidirectional pipelines.	Shigang Li, Torsten Hoefler
2021	A next-generation discontinuous galerkin fluid dynamics solver with application to high-resolution lung airflow simulations.	Martin Kronbichler, Niklas Fehn, Peter Munch, Maximilian Bergbauer, Karl-Robert Wichmann, Carolin Geitner, Momme Allalen, Martin Schulz, Wolfgang A. Wall
2021	Error-controlled, progressive, and adaptable retrieval of scientific data with multilevel decomposition.	Xin Liang, Qian Gong, Jieyang Chen, Ben Whitney, Lipeng Wan, Qing Liu, David Pugmire, Rick Archibald, Norbert Podhorszki, Scott Klasky
2020	GVProf: a value profiler for GPU-based clusters.	Keren Zhou, Yueming Hao, John M. Mellor-Crummey, Xiaozhu Meng, Xu Liu
2020	DistDGL: Distributed Graph Neural Network Training for Billion-Scale Graphs.	Da Zheng, Chao Ma, Minjie Wang, Jinjing Zhou, Qidong Su, Xiang Song, Quan Gan, Zheng Zhang, George Karypis
2020	DrCCTProf: a fine-grained call path profiler for ARM-based clusters.	Qidong Zhao, Xu Liu, Milind Chabbi
2020	BORA: a bag optimizer for robotic analysis.	Jian Zhang, Tao Xie, Yuzhuo Jing, Yanjie Song, Guanzhou Hu, Si Chen, Shu Yin
2020	RLScheduler: an automated HPC batch job scheduler using reinforcement learning.	Di Zhang, Dong Dai, Youbiao He, Forrest Sheng Bao, Bing Xie
2020	GPU Acceleration of the FINE/FR CFD Solver in a Heterogeneous Environment with OpenACC Directives.	X. M. Shine Zhai, David Gutzwiller, Kunal Puri, Charles Hirsch
2020	ZeroSpy: exploring software inefficiency with redundant zeros.	Xin You, Hailong Yang, Zhongzhi Luan, Depei Qian, Xu Liu
2020	Speeding up SpMV for power-law graph analytics by enhancing locality & vectorization.	Serif Yesil, Azin Heidarshenas, Adam Morrison, Josep Torrellas
2020	SEFEE: lightweight storage error forecasting in large-scale enterprise storage systems.	Amirhessam Yazdi, Xing Lin, Lei Yang, Feng Yan
2020	A 1024-member ensemble data assimilation with 3.5-km mesh global weather simulations.	Hisashi Yashiro, Koji Terasaki, Yuta Kawai, Shuhei Kudo, Takemasa Miyoshi, Toshiyuki Imamura, Kazuo Minami, Hikaru Inoue, Tatsuo Nishiki, Takayuki Saji, Masaki Satoh, Hirofumi Tomita
2020	How Good Is Your Scientific Data Generative Model?	Yuxin Yang, Ben Gremillion, Xitong Zhang, Youzuo Lin, Brendt Wohlberg, Qiang Guan

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Comparable venues

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