International European Conference on Parallel and Distributed Computing (was International Conference on Parallel Processing)
EuroPar
B
CORE rank
CORE rank (raw)
B
Fields of research
Distributed Computing and Systems Software
Papers indexed
4,465
1995–2026
Papers per year
1995226 peak2026
Most published authors
EuroPar papers
4,465 records sourced from DBLP. Search titles, filter by year, sort by recency.
| Year | Title | Authors |
|---|---|---|
| 2025 | Efficient Task Graph Scheduling for Parallel QR Factorization in SLSQP. | Soumyajit Chatterjee, Rahul Utkoor, Uppu Eshwar, Sathya Peri, V. Krishna Nandivada |
| 2025 | Green Scheduling on the Edge. | Joachim Cendrier, Rajini Wijayawardana, Anne Benoit, Yves Robert, Frdric Vivien, Andrew A. Chien |
| 2025 | Approximation Bounds for SLACK on Identical Parallel Machines. | Louis-Claude Canon, Anthony Dugois, Pierre-Cyrille Ham, Ismal Jecker |
| 2025 | Tutoring LLM into a Better CUDA Optimizer. | Matys Brabec, Jir Klepl, Michal Tpfer, Martin Krulis |
| 2025 | Polymorphic Higher-Order GPU Kernels. | Andr Rauber Du Bois, Gerson G. H. Cavalheiro |
| 2025 | Enabling Elasticity in Scientific Workflows for High-Performance Computing Systems. | Rajat Bhattarai, Howard Pritchard, Sheikh K. Ghafoor |
| 2025 | Partial Detectors Versus Replication to Cope with Silent Errors. | Anne Benoit, Thomas Hrault, Yves Robert, Alix Tremodeux |
| 2025 | Scalable Compression of Massive Data Collections on HPC Systems. | Loris Belcastro, Paolo Ferragina, Giovanni Manzini, Fabrizio Marozzo, Domenico Talia, Paolo Trunfio |
| 2025 | THAPI: Tracing Heterogeneous APIs. | Solomon Bekele, Aurelio Vivas, Thomas Applencourt, Servesh Muralidharan, Bryce Allen, Kazutomo Yoshii, Swann Perarnau, Brice Videau |
| 2025 | Leveraging Expert Usage to Speed up LLM Inference with Expert Parallelism. | Olivier Beaumont, Raphal Bourgouin, Maxime Darrin, Loris Marchal, Pablo Piantanida |
| 2025 | Federated Learning Within Global Energy Budget over Heterogeneous Edge Accelerators. | Roopkatha Banerjee, Tejus Chandrashekar, Ananth Eswar, Yogesh Simmhan |
| 2025 | Supervised Distributed Computing. | John Augustine, Christian Scheideler, Julian Werthmann |
| 2025 | ReSpike: A Co-Design Framework for Evaluating SNNs on ReRAM-Based Neuromorphic Processors. | Kazi Asifuzzaman, Aaron R. Young, Prasanna Date, Shruti R. Kulkarni, Narasinga Rao Miniskar, Matthew J. Marinella, Jeffrey S. Vetter |
| 2025 | Cache Management for Mixture-of-Experts LLMs. | Spyros Angelopoulos, Loris Marchal, Adrien Obrecht, Bertrand Simon |
| 2025 | On-Device Federated Learning for Remote Alpine Livestock Monitoring. | Sabtain Ahmad, Thomas Schneidergruber, Ivona Brandic, Johannes Scholz |
| 2024 | ESIMD GPU Implementations of Deep Learning Sparse Matrix Kernels. | Mohammad Zubair, Christoph Bauinger |
| 2024 | GPU-Accelerated BFS for Dynamic Networks. | Filippo Ziche, Nicola Bombieri, Federico Busato, Rosalba Giugno |
| 2024 | FLUK: Protecting Federated Learning Against Malicious Clients for Internet of Vehicles. | Mengde Zhu, Wanyi Ning, Qi Qi, Jingyu Wang, Zirui Zhuang, Haifeng Sun, Jun Huang, Jianxin Liao |
| 2024 | DProbe: Profiling and Predicting Multi-tenant Deep Learning Workloads for GPU Resource Scaling. | Zechun Zhou, Jingwei Sun, Hengquan Mei, Peng Sun, Guangzhong Sun |
| 2024 | CSIMD: Cross-Search Algorithm with Improved Multi-dimensional Dichotomy for Micro-Batch-Based Pipeline Parallel Training in DNN. | Guangyao Zhou, Haocheng Lan, Yuanlun Xie, Wenhong Tian, Jiahong Qian, Teng Su |
| 2024 | Accelerating Stencil Computation with Fully Homomorphic Encryption Using GPU. | Xianlong Zhou, Pei Li, Jiageng Chen, Shixiong Yao |
| 2024 | Quartet: A Holistic Hybrid Parallel Framework for Training Large Language Models. | Weigang Zhang, Biyu Zhou, Xing Wu, Chaochen Gao, Zhibing Liu, Xuehai Tang, Ruixuan Li, Jizhong Han, Songlin Hu |
| 2024 | Watt: A Write-Optimized RRAM-Based Accelerator for Attention. | Xuan Zhang, Zhuoran Song, Xing Li, Zhezhi He, Naifeng Jing, Li Jiang, Xiaoyao Liang |
| 2024 | Disttack: Graph Adversarial Attacks Toward Distributed GNN Training. | Yuxiang Zhang, Xin Liu, Meng Wu, Wei Yan, Mingyu Yan, Xiaochun Ye, Dongrui Fan |
| 2024 | An Asynchronous Matrix Multiplication Accelerator. | Lingzhuang Zhang, Rongqing Hu, Hongrui Zhang, Anping He |
151–175 of 4,465← PreviousNext →
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