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	Fine-grained accelerator partitioning for Machine Learning and Scientific Computing in Function as a Service Platform.	Aditya Dhakal, Philipp Raith, Logan T. Ward, Rolando P. Hong Enriquez, Gourav Rattihalli, Kyle Chard, Ian T. Foster, Dejan S. Milojicic
2023	Infrastructure for Writing Fork-Join Tests.	Prasun Dewan
2023	An Efficient Distributed Graph Engine for Deep Learning on Graphs.	Gangda Deng, mer Faruk Akgl, Hongkuan Zhou, Hanqing Zeng, Yinglong Xia, Jianbo Li, Viktor K. Prasanna
2023	High-level GPU code: a case study examining JAX and OpenMP.	Nestor Demeure, Theodore Kisner, Reijo Keskitalo, Rollin C. Thomas, Julian Borrill, Wahid Bhimji
2023	Large-Scale Materials Modeling at Quantum Accuracy: Ab Initio Simulations of Quasicrystals and Interacting Extended Defects in Metallic Alloys.	Sambit Das, Bikash Kanungo, Vishal Subramanian, Gourab Panigrahi, Phani Motamarri, David M. Rogers, Paul M. Zimmerman, Vikram Gavini
2023	Using Azure Quantum Resource Estimator for Assessing Performance of Fault Tolerant Quantum Computation.	Wim van Dam, Mariia Mykhailova, Mathias Soeken
2023	Analysis and Characterization of Performance Variability for OpenMP Runtime.	Minyu Cui, Nikela Papadopoulou, Miquel Perics
2023	ICE 2.0: Restructuring and Growing an Instructional HPC Cluster.	J. Eric Coulter, Michael D. Weiner, Aaron Jezghani, Matthew Guidry, Rubn Lara, Fang (Cherry) Liu, Allan Metts, Ronald Rahaman, Kenneth J. Suda, Peter Wan, Gregory Willcox, Deirdre Womack, Dan Zhou
2023	Optimizing Irregular Communication with Neighborhood Collectives and Locality-Aware Parallelism.	Gerald Collom, Ruipeng Li, Amanda Bienz
2023	Vertical Scaling of Variational Multiscale Modeling for Fluid Dynamics: Successes, Challenges, and Opportunities.	Christopher J. Coley
2023	Enabling Communication with FPGA-based Network-attached Accelerators for HPC Workloads.	Steffen Christgau, Dylan Everingham, Florian Mikolajczak, Niklas Schelten, Bettina Schnor, Max Schrtter, Benno Stabernack, Fritjof Steinert
2023	HEAR: Homomorphically Encrypted Allreduce.	Marcin Chrapek, Mikhail Khalilov, Torsten Hoefler
2023	DDStore: Distributed Data Store for Scalable Training of Graph Neural Networks on Large Atomistic Modeling Datasets.	Jong Youl Choi, Massimiliano Lupo Pasini, Pei Zhang, Kshitij Mehta, Frank Liu, Jonghyun Bae, Khaled Ibrahim
2023	Runtime Composition of Iterations for Fusing Loop-carried Sparse Dependence.	Kazem Cheshmi, Michelle Strout, Maryam Mehri Dehnavi
2023	CuPBoP-AMD: Extending CUDA to AMD Platforms.	Jun Chen, Xule Zhou, Hyesoon Kim
2023	TANGO: re-thinking quantization for graph neural network training on GPUs.	Shiyang Chen, Da Zheng, Caiwen Ding, Chengying Huan, Yuede Ji, Hang Liu
2023	Dynamic Selective Protection of Sparse Iterative Solvers via ML Prediction of Soft Error Impacts.	Zizhao Chen, Thomas Verrecchia, Hongyang Sun, Joshua Dennis Booth, Padma Raghavan
2023	Interference-aware Multiplexing for Deep Learning in GPU Clusters: A Middleware Approach.	Wenyan Chen, Zizhao Mo, Huanle Xu, Kejiang Ye, Chengzhong Xu
2023	VSCuda: LLM based CUDA extension for Visual Studio Code.	Brian Chen, Nafis Mustakin, Alvin Hoang, Sakib Fuad, Daniel Wong
2023	MPI-xCCL: A Portable MPI Library over Collective Communication Libraries for Various Accelerators.	Chen-Chun Chen, Kawthar Shafie Khorassani, Pouya Kousha, Qinghua Zhou, Jinghan Yao, Hari Subramoni, Dhabaleswar K. Panda
2023	Data Race Detection Using Large Language Models.	Le Chen, Xianzhong Ding, Murali Emani, Tristan Vanderbruggen, Pei-Hung Lin, Chunhua Liao
2023	Optimizing High-Performance Linpack for Exascale Accelerated Architectures.	Noel Chalmers, Jakub Kurzak, Damon McDougall, Paul T. Bauman
2023	Specialized Kernels for Optimizing GPU Offload in OpenMP.	Dhruva R. Chakrabarti, Gregory Rodgers, Carlo Bertolli, Gheorghe-Teodor Bercea, Jan-Patrick Lehr, Lynd Stringer, Jan Leyonberg, Dan Palermo, Ron Lieberman
2023	Sustainability in HPC: Vision and Opportunities.	Mohak Chadha, Eishi Arima, Amir Raoofy, Michael Gerndt, Martin Schulz
2023	Sunfish: An Open Centralized Composable HPC Management Framework.	Phil Cayton, Michael Aguilar, Christian Pinto

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Comparable venues

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