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
2023	Machine Learning Applied to Single-Molecule Activity Prediction.	Kendric Hood, Qiang Guan
2023	Many Cores, Many Models: GPU Programming Model vs. Vendor Compatibility Overview.	Andreas Herten
2023	Demystifying and Mitigating Cross-Layer Deficiencies of Soft Error Protection in Instruction Duplication.	Zhengyang He, Yafan Huang, Hui Xu, Dingwen Tao, Guanpeng Li
2023	Accelerating In Situ Analysis using Non-volatile Memory.	Deepak B. Hegde, Preeti Malakar
2023	Reducing HPC energy footprint for large scale GPU accelerated workloads.	Gabriel Hautreux, Etienne Malaboeuf
2023	An NSF REU Site Based on Trust and Reproducibility of Intelligent Computation: Experience Report.	Mary W. Hall, Ganesh Gopalakrishnan, Eric Eide, Johanna Cohoon, Jeff M. Phillips, Mu Zhang, Shireen Y. Elhabian, Aditya Bhaskara, Harvey Dam, Artem Yadrov, Tushar Kataria, Amir Mohammad Tavakkoli, Sameeran Joshi, Mokshagna Sai Teja Karanam
2023	Experiences Detecting Defective Hardware in Exascale Supercomputers.	Nick Hagerty, Jordan Webb, Vernica G. Melesse Vergara, Matthew Ezell
2023	Challenges and Opportunities in the Co-design of Convolutions and RISC-V Vector Processors.	Sonia Rani Gupta, Nikela Papadopoulou, Miquel Perics
2023	Self-service Monitoring of HPC and Openstack Jobs for Users.	Simon Guilbault
2023	Understanding the Effects of Permanent Faults in GPU's Parallelism Management and Control Units.	Juan-David Guerrero-Balaguera, Josie Esteban Rodriguez Condia, Fernando Fernandes dos Santos, Matteo Sonza Reorda, Paolo Rech
2023	Dask-Extended External Tasks for HPC/ML In transit Workflows.	Amal Gueroudji, Julien Bigot, Bruno Raffin, Robert B. Ross
2023	Recovering Detectable Uncorrectable Errors via Spatial Data Prediction.	Kristen Guernsey, Sarah Placke, Alexandra Poulos, Jon Calhoun
2023	Comparing Power Signatures of HPC Workloads: Machine Learning vs Simulation.	Anish Govind, Sridutt Bhalachandra, Zhengji Zhao, Ermal Rrapaj, Brian Austin, Hai Ah Nam
2023	JuliQAOA: Fast, Flexible QAOA Simulation.	John Golden, Andreas Brtschi, Dan O'Malley, Elijah Pelofske, Stephan J. Eidenbenz
2023	Julia as a unifying end-to-end workflow language on the Frontier exascale system.	William F. Godoy, Pedro Valero-Lara, Caira Anderson, Katrina W. Lee, Ana Gainaru, Rafael Ferreira da Silva, Jeffrey S. Vetter
2023	RDARuntime: An OS for AI Accelerators.	Benjamin Glick, Arjun Sabnis, Renate Kempf, Arnav Goel, Aarti Lalwani, Guoyao Feng, Kiran Ranganath
2023	Exploring Benchmarks for Self-Driving Labs using Color Matching.	Tobias Ginsburg, Kyle Hippe, Ryan Lewis, Aileen Cleary, Doga Ozgulbas, Rory Butler, Casey Stone, Abraham Stroka, Rafael Vescovi, Ian T. Foster
2023	Disk Failure Trends in Alpine Storage System.	Anjus George, Jesse Hanley, Sarp Oral
2023	PoliMOR: A Policy Engine "Made-to-Order" for Automated and Scalable Data Management in Lustre.	Anjus George, Christopher Brumgard, Rick Mohr, Ketan Maheshwari, James Simmons, Sarp Oral, Jesse Hanley
2023	Value-Based Resource Management at SoC Scale.	Serhan Gener, Md Sahil Hassan, Ali Akoglu
2023	PanguLU: A Scalable Regular Two-Dimensional Block-Cyclic Sparse Direct Solver on Distributed Heterogeneous Systems.	Xu Fu, Bingbin Zhang, Tengcheng Wang, Wenhao Li, Yuechen Lu, Enxin Yi, Jianqi Zhao, Xiaohan Geng, Fangying Li, Jingwen Zhang, Zhou Jin, Weifeng Liu
2023	Toward Exascale Computation for Turbomachinery Flows.	Yuhang Fu, Weiqi Shen, Jiahuan Cui, Yao Zheng, Guangwen Yang, Zhao Liu, Jifa Zhang, Tingwei Ji, Fangfang Xie, Xiaojing Lv, Hanyue Liu, Xu Liu, Xiyang Liu, Xiaoyu Song, Guocheng Tao, Yan Yan, Paul Tucker, Steven A. E. Miller, Shirui Luo, Seid Koric, Weimin Zheng
2023	CHARM-SYCL: New Unified Programming Environment for Multiple Accelerator Types.	Norihisa Fujita, Beau Johnston, Ryohei Kobayashi, Keita Teranishi, Seyong Lee, Taisuke Boku, Jeffrey S. Vetter
2023	BLAD: Adaptive Load Balanced Scheduling and Operator Overlap Pipeline For Accelerating The Dynamic GNN Training.	Kaihua Fu, Quan Chen, Yuzhuo Yang, Jiuchen Shi, Chao Li, Minyi Guo
2023	CXL Memory as Persistent Memory for Disaggregated HPC: A Practical Approach.	Yehonatan Fridman, Suprasad Mutalik Desai, Navneet Singh, Thomas Willhalm, Gal Oren

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Comparable venues

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