ACM International Symposium on High Performance Distributed Computing
HPDC
A
CORE rank
CORE rank (raw)
A
Fields of research
Distributed Computing and Systems Software · Computer Systems Engineering
Papers indexed
1,864
1992–2026
Papers per year
1992106 peak2026
Most published authors
HPDC papers
1,864 records sourced from DBLP. Search titles, filter by year, sort by recency.
| Year | Title | Authors |
|---|---|---|
| 2023 | Real-time Monitoring and Analysis of Edge and Cloud Resources. | Ioannis Korontanis, Antonios Makris, Theodoros Theodoropoulos, Konstantinos Tserpes |
| 2023 | Rapidgzip: Parallel Decompression and Seeking in Gzip Files Using Cache Prefetching. | Maximilian Knespel, Holger Brunst |
| 2023 | Accelerating MPI Collectives with Process-in-Process-based Multi-object Techniques. | Jiajun Huang, Kaiming Ouyang, Yujia Zhai, Jinyang Liu, Min Si, Ken Raffenetti, Hui Zhou, Atsushi Hori, Zizhong Chen, Yanfei Guo, Rajeev Thakur |
| 2023 | Distributed Multi-agent Reinforcement Learning for Directional UAV Network Control. | Linsheng He, Jiamiao Zhao, Fei Hu |
| 2023 | FlexLog: A Shared Log for Stateful Serverless Computing. | Dimitra Giantsidi, Emmanouil Giortamis, Nathaniel Tornow, Florin Dinu, Pramod Bhatotia |
| 2023 | Ilvatar: A Fast Control Plane for Serverless Computing. | Alexander Fuerst, Abdul Rehman, Prateek Sharma |
| 2023 | Efficient Execution of SpGEMM on Long Vector Architectures. | Valentin Le Fvre, Marc Casas |
| 2023 | Early Exploration of Using ChatGPT for Log-based Anomaly Detection on Parallel File Systems Logs. | Chris Egersdoerfer, Di Zhang, Dong Dai |
| 2023 | Performance Optimization using Multimodal Modeling and Heterogeneous GNN. | Akash Dutta, Jordi Alcaraz, Ali TehraniJamsaz, Eduardo Csar, Anna Sikora, Ali Jannesari |
| 2023 | Auto-HPCnet: An Automatic Framework to Build Neural Network-based Surrogate for High-Performance Computing Applications. | Wenqian Dong, Gokcen Kestor, Dong Li |
| 2023 | Analyzing Transatlantic Network Traffic over Scientific Data Caches. | Ziyue Deng, Alex Sim, Kesheng Wu, Chin Guok, Damian Hazen, Inder Monga, Fabio Andrijauskas, Frank Wrthwein, Derek Weitzel |
| 2023 | An Intelligent Continuum for Intelligent Applications. | Patrizio Dazzi |
| 2023 | Contention-aware Performance Modeling for Heterogeneous Edge and Cloud Systems. | Ismet Dagli, Andrew Depke, Andrew Mueller, Md Sahil Hassan, Ali Akoglu, Mehmet Esat Belviranli |
| 2023 | EDGELESS Project: On the Road to Serverless Edge AI. | Claudio Cicconetti, Emanuele Carlini, Antonio Paradell |
| 2023 | Efficient Algorithm Design of Optimizing SpMV on GPU. | Genshen Chu, Yuanjie He, Lingyu Dong, Zhezhao Ding, Dandan Chen, He Bai, Xuesong Wang, Changjun Hu |
| 2023 | Towards Securing UAV Flying Base Station: Misplacement Impact Analyses on Battery and Power. | Sang-Yoon Chang, Kyungmin Park, Jonghyun Kim, Jinoh Kim |
| 2023 | Innovation Potential of the ACCORDION Platform. | Emanuele Carlini, Patrizio Dazzi, Konstantinos Tserpes, Lorenzo Blasi, Marco Di Girolamo, Dariusz Dober |
| 2023 | DATA7: A Dataset for Assessing Resource and Application Management Solutions at the Edge. | Emanuele Carlini, Massimo Coppola, Patrizio Dazzi, Luca Ferrucci, Hanna Kavalionak, Matteo Mordacchini |
| 2023 | Thicket: Seeing the Performance Experiment Forest for the Individual Run Trees. | Stephanie Brink, Michael McKinsey, David Bhme, Connor Scully-Allison, Ian Lumsden, W. Daryl Hawkins, Treece Burgess, Vanessa Lama, Jakob Lttgau, Katherine E. Isaacs, Michela Taufer, Olga Pearce |
| 2023 | TEACHING: A Computing Toolkit for Building Efficient Autonomous appliCations Leveraging Humanistic INtelliGence. | Davide Bacciu, Konstantinos Tserpes, Massimo Coppola, Georg Macher, Claudio Gallicchio, Omar Veledar, Anna Maria Anaxagorou, Patrizio Dazzi |
| 2023 | AIIO: Using Artificial Intelligence for Job-Level and Automatic I/O Performance Bottleneck Diagnosis. | Bin Dong, Jean Luca Bez, Suren Byna |
| 2022 | SchedInspector: A Batch Job Scheduling Inspector Using Reinforcement Learning. | Di Zhang, Dong Dai, Bing Xie |
| 2022 | Ultrafast Error-bounded Lossy Compression for Scientific Datasets. | Xiaodong Yu, Sheng Di, Kai Zhao, Jiannan Tian, Dingwen Tao, Xin Liang, Franck Cappello |
| 2022 | TAC: Optimizing Error-Bounded Lossy Compression for Three-Dimensional Adaptive Mesh Refinement Simulations. | Daoce Wang, Jesus Pulido, Pascal Grosset, Sian Jin, Jiannan Tian, James P. Ahrens, Dingwen Tao |
| 2022 | One Big Happy Family: Sharing the S3 Layer between Ceph, CORTX, and DAOS. | Andriy Tkachuk, Zuhair AlSader |
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Comparable venues
Other A*/A conferences filed under the same field of research.
- A*INFOCOMIEEE International Conference on Computer Communications
- A*WWWInternational World Wide Web Conference
- AICDCSInternational Conference on Distributed Computing Systems
- A*SIGCOMMACM Conference on Applications, Technologies, Architectures, and Protocols for Computer Communication
- A*MOBICOMACM International Conference on Mobile Computing and Networking
- ADSNIEEE/IFIP International Conference on Dependable Systems and Networks
- AICWSIEEE International Conference on Web Services
- A*PODCACM Symposium on Principles of Distributed Computing