Alessia Antelmi – författare

The two-volume set LNCS constitutes the proceedings of the 32nd European Conference on Parallel and Distributed Processing, Euro-Par 2026, which took place in Pisa, Italy, during August 24–28, 2026.The 87 full papers included in the proceedings were carefully reviewed and selected from the 312 papers that entered the full reviewing process, out of 332 submissions received. Euro-Par 2026 accepted papers were organized in the following six tracks:– Track 1: Programming, Compilers, and Performance– Track 2: Scheduling, Resource Management, Cloud, Edge Computing, and Workflows– Track 3: Architectures and Accelerators– Track 4: Scalable AI and Data Analytics– Track 5: Theory and Algorithms– Track 6: Domain-Specific and Applied Parallel and Distributed Computing

The two-volume set LNCS constitutes the proceedings of the 32nd European Conference on Parallel and Distributed Processing, Euro-Par 2026, which took place in Pisa, Italy, during August 24–28, 2026.The 87 full papers included in the proceedings were carefully reviewed and selected from the 312 papers that entered the full reviewing process, out of 332 submissions received. Euro-Par 2026 accepted papers were organized in the following six tracks:– Track 1: Programming, Compilers, and Performance– Track 2: Scheduling, Resource Management, Cloud, Edge Computing, and Workflows– Track 3: Architectures and Accelerators– Track 4: Scalable AI and Data Analytics– Track 5: Theory and Algorithms– Track 6: Domain-Specific and Applied Parallel and Distributed Computing

The two-volume set LNCS constitutes the proceedings of the 32nd European Conference on Parallel and Distributed Processing, Euro-Par 2026, which took place in Pisa, Italy, during August 24–28, 2026.The 87 full papers included in the proceedings were carefully reviewed and selected from the 312 papers that entered the full reviewing process, out of 332 submissions received. Euro-Par 2026 accepted papers were organized in the following six tracks:– Track 1: Programming, Compilers, and Performance– Track 2: Scheduling, Resource Management, Cloud, Edge Computing, and Workflows– Track 3: Architectures and Accelerators– Track 4: Scalable AI and Data Analytics– Track 5: Theory and Algorithms– Track 6: Domain-Specific and Applied Parallel and Distributed Computing