International Conference for High Performance Computing, Networking, Storage and Analysis (was Supercomputing Conference)
SC
A
CORE rank
CORE rank (raw)
A
Fields of research
Computer Systems Engineering · Distributed Computing and Systems Software
Papers indexed
6,069
1988–2025
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 | Benchmarking and Extending SYCL Hierarchical Parallelism. | Tom Deakin, Simon McIntosh-Smith, Aksel Alpay, Vincent Heuveline |
| 2021 | Mitigating Catastrophic Forgetting in Deep Learning in a Streaming Setting Using Historical Summary. | Sajal Dash, Junqi Yin, Mallikarjun Shankar, Feiyi Wang, Wu-chun Feng |
| 2021 | Non-recurring engineering (NRE) best practices: a case study with the NERSC/NVIDIA OpenMP contract. | Christopher S. Daley, Annemarie Southwell, Rahulkumar Gayatri, Scott Biersdorfff, Craig Toepfer, Gray zen, Nicholas J. Wright |
| 2021 | Multi-accelerator Neural Network Inference in Diversely Heterogeneous Embedded Systems. | Ismet Dagli, Mehmet E. Belviranli |
| 2021 | Enable simultaneous DNN services based on deterministic operator overlap and precise latency prediction. | Weihao Cui, Han Zhao, Quan Chen, Ningxin Zheng, Jingwen Leng, Jieru Zhao, Zhuo Song, Tao Ma, Yong Yang, Chao Li, Minyi Guo |
| 2021 | Systematically inferring I/O performance variability by examining repetitive job behavior. | Emily Costa, Tirthak Patel, Benjamin Schwaller, Jim M. Brandt, Devesh Tiwari |
| 2021 | Energy Efficient Task Graph Execution Using Compute Unit Masking in GPUs. | Marcus Chow, Kiran Ranganath, Robert Lerias, Mika Shanela Carodan, Daniel Wong |
| 2021 | Accelerating bandwidth-bound deep learning inference with main-memory accelerators. | Benjamin Y. Cho, Jeageun Jung, Mattan Erez |
| 2021 | Measurement and Analysis of GPU-Accelerated OpenCL Computations on Intel GPUs. | Aaron Cherian, Keren Zhou, Dejan Grubisic, Xiaozhu Meng, John M. Mellor-Crummey |
| 2021 | Scalable FBP decomposition for cone-beam CT reconstruction. | Peng Chen, Mohamed Wahib, Xiao Wang, Takahiro Hirofuchi, Hirotaka Ogawa, Ander Biguri, Richard P. Boardman, Thomas Blumensath, Satoshi Matsuoka |
| 2021 | Krill: a compiler and runtime system for concurrent graph processing. | Hongzheng Chen, Minghua Shen, Nong Xiao, Yutong Lu |
| 2021 | Efficient tensor core-based GPU kernels for structured sparsity under reduced precision. | Zhaodong Chen, Zheng Qu, Liu Liu, Yufei Ding, Yuan Xie |
| 2021 | E.T.: re-thinking self-attention for transformer models on GPUs. | Shiyang Chen, Shaoyi Huang, Santosh Pandey, Bingbing Li, Guang R. Gao, Long Zheng, Caiwen Ding, Hang Liu |
| 2021 | LogECMem: coupling erasure-coded in-memory key-value stores with parity logging. | Liangfeng Cheng, Yuchong Hu, Zhaokang Ke, Jia Xu, Qiaori Yao, Dan Feng, Weichun Wang, Wei Chen |
| 2021 | Real-Time COVID-19 Infection Risk Assessment and Mitigation based on Public-Domain Data. | Albert M. K. Cheng |
| 2021 | Efficient scaling of dynamic graph neural networks. | Venkatesan T. Chakaravarthy, Shivmaran S. Pandian, Saurabh Raje, Yogish Sabharwal, Toyotaro Suzumura, Shashanka Ubaru |
| 2021 | FedAT: a high-performance and communication-efficient federated learning system with asynchronous tiers. | Zheng Chai, Yujing Chen, Ali Anwar, Liang Zhao, Yue Cheng, Huzefa Rangwala |
| 2021 | Utilising urgent computing to tackle the spread of mosquito-borne diseases. | Nick Brown, Rupert Nash, Piero Poletti, Giorgio Guzzetta, Mattia Manica, Agnese Zardini, Markus Flatken, Jules Vidal, Charles Gueunet, Evgenij Belikov, Julien Tierny, Artur Podobas, Wei Der Chien, Stefano Markidis, Andreas Gerndt |
| 2021 | Online evolutionary batch size orchestration for scheduling deep learning workloads in GPU clusters. | Zhengda Bian, Shenggui Li, Wei Wang, Yang You |
| 2021 | Generalizable coordination of large multiscale workflows: challenges and learnings at scale. | Harsh Bhatia, Francesco Di Natale, Joseph Y. Moon, Xiaohua Zhang, Joseph R. Chavez, Fikret Aydin, Christopher B. Stanley, Tomas Oppelstrup, Chris Neale, Sara Kokkila Schumacher, Dong H. Ahn, Stephen Herbein, Timothy S. Carpenter, Sandrasegaram Gnanakaran, Peer-Timo Bremer, James N. Glosli, Felice C. Lightstone, Helgi I. Inglfsson |
| 2021 | Enabling large-scale correlated electronic structure calculations: scaling the RI-MP2 method on summit. | Giuseppe M. J. Barca, Jorge L. Galvez Vallejo, David L. Poole, Melisa Alkan, Ryan Stocks, Alistair P. Rendell, Mark S. Gordon |
| 2021 | LOOM: Interweaving tightly coupled visualization and numeric simulation framework. | Joo Barbosa, Paul A. Navrtil, Lus Paulo Santos, Donald S. Fussell |
| 2021 | Distributed multigrid neural solvers on megavoxel domains. | Aditya Balu, Sergio Botelho, Biswajit Khara, Vinay Rao, Soumik Sarkar, Chinmay Hegde, Adarsh Krishnamurthy, Santi Adavani, Baskar Ganapathysubramanian |
| 2021 | Evaluating policy-driven adaptation on the Edge-to-Cloud Continuum. | Daniel Balouek-Thomert, Ivan Rodero, Manish Parashar |
| 2021 | In Situ Data-Driven Analysis and Learning of Turbulence Closures at Scale. | Riccardo Balin |
1,351–1,375 of 6,069← PreviousNext →
Comparable venues
Other A*/A conferences filed under the same field of research.
- ADATEDesign, Automation and Test in Europe Conference
- A*DACDesign Automation Conf
- AICCADIEEE/ACM International Conference on Computer-Aided Design
- AITCIEEE International Test Conference
- A*ISCAACM International Symposium on Computer Architecture
- A*MICROInternational Symposium on Microarchitecture
- AISLPEDIEEE/ACM International Symposium on Low Power Electronics and Design
- AICSACM International Conference on Supercomputing