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ORCID30th Euro-Par 2024: Madrid, Spain - Part I
- Jesús Carretero
, Sameer Shende, Javier García-Blas, Ivona Brandic, Katzalin Olcoz, Martin Schreiber:
Euro-Par 2024: Parallel Processing - 30th European Conference on Parallel and Distributed Processing, Madrid, Spain, August 26-30, 2024, Proceedings, Part I. Lecture Notes in Computer Science 14801, Springer 2024, ISBN 978-3-031-69576-6
Programming, Compilers and Performance
- Anju Mongandampulath Akathoott, Rupesh Nasre:
FlexiGran: Flexible Granularity Locking in Hierarchies. 3-17 - Suren Harutyunyan, Eduardo César, Anna Sikora, Jiri Filipovic, Akash Dutta, Ali Jannesari, Jordi Alcaraz:
Efficient Code Region Characterization Through Automatic Performance Counters Reduction Using Machine Learning Techniques. 18-32 - Mohammad Zubair, Christoph Bauinger:
ESIMD GPU Implementations of Deep Learning Sparse Matrix Kernels. 33-46 - Greg Henry, Eric Petit, Alexander Lyashevsky, Peter Caday:
Deconstructing HPL-MxP Benchmark: A Numerical Perspective. 47-60 - Bizhao Shi, Tuo Dai, Sunan Zou, Xinming Wei, Guojie Luo:
ImageMap: Enabling Efficient Mapping from Image Processing DSL to CGRA. 61-76 - Lucas Van Lanker, Hugo Taboada, Elisabeth Brunet, François Trahay:
Predicting GPU Kernel's Performance on Upcoming Architectures. 77-90 - Milo Lurati, Stijn Heldens, Alessio Sclocco, Ben van Werkhoven:
Bringing Auto-Tuning to HIP: Analysis of Tuning Impact and Difficulty on AMD and Nvidia GPUs. 91-106 - Bengisu Elis, David Böhme, Olga Pearce, Martin Schulz:
A Mechanism to Generate Interception Based Tools for HPC Libraries. 107-120 - Le Chen, Arijit Bhattacharjee, Nesreen K. Ahmed, Niranjan Hasabnis, Gal Oren, Vy A. Vo, Ali Jannesari:
OMPGPT: A Generative Pre-trained Transformer Model for OpenMP. 121-134
Scheduling, Resource Management, Cloud, Edge Computing, and Workflows
- Alexis Bandet, Francieli Boito, Guillaume Pallez:
Scheduling Distributed I/O Resources in HPC Systems. 137-151 - Danilo Carastan-Santos, Georges Da Costa, Millian Poquet, Patricia Stolf, Denis Trystram:
Light-Weight Prediction for Improving Energy Consumption in HPC Platforms. 152-165 - Yiming Yao, Xiaolin Wang, Diyu Zhou, Liujia Li, Jianyu Wu, Liren Zhu, Zhenlin Wang, Yingwei Luo:
EKRM: Efficient Key-Value Retrieval Method to Reduce Data Lookup Overhead for Redis. 166-179 - Tingkai Liu, Huili Tao, Yicheng Lu, Zhongbo Zhu, Marquita Ellis, Sara Kokkila Schumacher, Volodymyr V. Kindratenko:
Automated Data Management and Learning-Based Scheduling for Ray-Based Hybrid HPC-Cloud Systems. 180-194 - Louis-Claude Canon, Anthony Dugois, Loris Marchal:
Solving the Restricted Assignment Problem to Schedule Multi-get Requests in Key-Value Stores. 195-209 - Yuandou Wang, Neel Kanwal, Kjersti Engan, Chunming Rong, Paola Grosso, Zhiming Zhao:
PriCE: Privacy-Preserving and Cost-Effective Scheduling for Parallelizing the Large Medical Image Processing Workflow over Hybrid Clouds. 210-224 - Olivier Beaumont, Rémi Bouzel, Lionel Eyraud-Dubois, Esragul Korkmaz, Laércio Lima Pilla, Alexandre van Kempen:
A 1.25(1+ε )-Approximation Algorithm for Scheduling with Rejection Costs Proportional to Processing Times. 225-238 - Zechun Zhou, Jingwei Sun, Hengquan Mei, Peng Sun, Guangzhong Sun:
DProbe: Profiling and Predicting Multi-tenant Deep Learning Workloads for GPU Resource Scaling. 239-253 - Filip Mikina, Pawel Zuk, Krzysztof Rzadca:
sAirflow: Adopting Serverless in a Legacy Workflow Scheduler. 254-268 - Handong Luo, Wenhao Liu, Qi Zhang, Ziheng Yang, Quanwei Lin, Wenjun Zhu, Kun Qiu, Zhe Chen, Yue Gao:
Hurry: Dynamic Collaborative Framework For Low-Orbit Mega-Constellation Data Downloading. 269-282 - Farah Aït-Salaht, Maher Rebai, Nora Izri:
Optimizing Service Replication and Placement for IoT Applications in Fog Computing Systems. 283-297 - Zhengda Wu, Yixiao Feng, Mingtai Lv, Sining Yang, Bo Zhang:
Deadline-Driven Enhancements and Response Time Analysis of ROS2 Multi-threaded Executors. 298-312 - Jiazhi Jiang, Hongbin Zhang, Deyin Liu, Jiangsu Du, Xiaojiao Yao, Jinhui Wei, Pin Chen, Dan Huang, Yutong Lu:
Efficient Coupling Streaming AI and Ensemble Simulations on HPC Clusters. 313-328 - Yibing Lin, Binbin Feng, Zhijun Ding:
Context-Aware Runtime Type Prediction for Heterogeneous Microservices. 329-342 - Vincent Fagnon, Giorgio Lucarelli, Christophe Rapine:
Makespan Minimization for Scheduling on Heterogeneous Platforms with Precedence Constraints. 343-356 - Qian Yang, Xuyan Jiang, Wei Quan, Rulin Liu, Zhigang Sun:
Node Bundle Scheduling: An Ultra-low Latency Traffic Scheduling Algorithm for TAS-Based Time-Sensitive Networks. 357-372 - Haibo Tang, Huan Zhang, Zhenyu Zhang, Zhao Zhang, Cheqing Jin, Aoying Zhou:
Towards High-performance Transactions via Hierarchical Blockchain Sharding. 373-388 - Sixing Yu, J. Pablo Muñoz, Ali Jannesari:
Resource-Aware Heterogeneous Federated Learning with Specialized Local Models. 389-403
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