Euro-Par 2023: Parallel Processing Workshops: Euro-Par 2023 International Workshops, Limassol, Cyprus, August 28 ? September 1, 2023, Revised Selected . II (Lecture Notes in Computer Science, 14352)

This book constitutes revised selected papers from the workshops held at the 29th International Conference on Parallel and Distributed Computing, Euro-Par 2023, which took place in Limassol, Cyprus, during August 28–September 1, 2023.

The 42 full papers presented in this book together with 11 symposium papers and 14 demo/poster papers were carefully reviewed and selected from 55 submissions. The papers cover all aspects of parallel and distributed processing, ranging from theory to practice, from small to the largest parallel and distributed systems and infrastructures, from fundamental computational problems to applications, from architecture, compiler, language and interface design and implementation, to tools, support infrastructures, and application performance aspects.
Part I:
First International Workshop on Scalable Compute Continuum (WSCC 2023)
First International Workshop on Tools for Data Locality, Power and Performance (TDLPP 2023)
First International Workshop on Urgent Analytics for Distributed Computing (QuickPar 2023)
21st International Workshop on Algorithms, Models and Tools for Parallel Computing on Heterogeneous Platforms (HETEROPAR 2023)
Part II:
Second International Workshop on Resource AWareness of Systems and Society (RAW 2023)
Third International Workshop on Asynchronous Many-Task systems for Exascale (AMTE 2023)
Third International Workshop on Performance and Energy-efficiency in Concurrent and Distributed Systems (PECS 2023)

First Minisymposium on Applications and Benefits of UPMEM commercial Massively Parallel Processing-In-Memory Platform (ABUMPIMP 2023)
First Minsymposium on Adaptive High Performance Input / Output Systems (ADAPIO 2023)

Chapters “1, 2, 3, 4, 5, 6, 7, 13, 20 and 31” is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.