Massimo Torquati – författare

This book provides a single-source reference to the state-of-the-art of high-level programming models and compilation tool-chains for embedded system platforms. The authors address challenges faced by programmers developing software to implement parallel applications in embedded systems, where very often they are forced to rewrite sequential programs into parallel software, taking into account all the low level features and peculiarities of the underlying platforms. Readers will benefit from these authors’ approach, which takes into account both the application requirements and the platform specificities of various embedded systems from different industries. Parallel programming tool-chains are described that take as input parameters both the application and the platform model, then determine relevant transformations and mapping decisions on the concrete platform, minimizing user intervention and hiding the difficulties related to the correct and efficient use of memory hierarchy and low level code generation.

This book provides a single-source reference to the state-of-the-art of high-level programming models and compilation tool-chains for embedded system platforms. The authors address challenges faced by programmers developing software to implement parallel applications in embedded systems, where very often they are forced to rewrite sequential programs into parallel software, taking into account all the low level features and peculiarities of the underlying platforms. Readers will benefit from these authors’ approach, which takes into account both the application requirements and the platform specificities of various embedded systems from different industries. Parallel programming tool-chains are described that take as input parameters both the application and the platform model, then determine relevant transformations and mapping decisions on the concrete platform, minimizing user intervention and hiding the difficulties related to the correct and efficient use of memory hierarchy and low level code generation.

This book provides a single-source reference to the state-of-the-art of high-level programming models and compilation tool-chains for embedded system platforms. The authors address challenges faced by programmers developing software to implement parallel applications in embedded systems, where very often they are forced to rewrite sequential programs into parallel software, taking into account all the low level features and peculiarities of the underlying platforms. Readers will benefit from these authors’ approach, which takes into account both the application requirements and the platform specificities of various embedded systems from different industries. Parallel programming tool-chains are described that take as input parameters both the application and the platform model, then determine relevant transformations and mapping decisions on the concrete platform, minimizing user intervention and hiding the difficulties related to the correct and efficient use of memory hierarchy and low level code generation.

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

This book constitutes the proceedings of the 24th International Conference on Parallel and Distributed Computing, Euro-Par 2018, held in Turin, Italy, in August 2018. The 57 full papers presented in this volume were carefully reviewed and selected from 194 submissions. They were organized in topical sections named: support tools and environments; performance and power modeling, prediction and evaluation; scheduling and load balancing; high performance architecutres and compilers; parallel and distributed data management and analytics; cluster and cloud computing; distributed systems and algorithms; parallel and distributed programming, interfaces, and languages; multicore and manycore methods and tools; theory and algorithms for parallel computation and networking; parallel numerical methods and applications; and accelerator computing for advanced applications.