| ISBN13: | 9783031506833 |
| ISBN10: | 3031506839 |
| Kötéstípus: | Puhakötés |
| Terjedelem: | 357 oldal |
| Méret: | 235x155 mm |
| Nyelv: | angol |
| Illusztrációk: | 11 Illustrations, black & white; 110 Illustrations, color |
| 696 |
Euro-Par 2023: Parallel Processing Workshops
EUR 70.61
Kattintson ide a feliratkozáshoz
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 covering 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.
LNCS 14351: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).
LNCS 14352:
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).
International Workshop on Scalable Compute Continuum (WSCC).- Compute Continuum: What Lies Ahead?.- An Algorithm for Tunable Memory Compression of Time-Based Windows for Stream Aggregates.- Latency-aware Placement of Stream Processing Operators.- Scalable and Efficient Architecture for Random Forest on FPGA-based Edge Computing.- MTCL: a Multi-Transport Communication Library.- Towards a Scalable Compute Continuum platform applied to electrical energy forecasting.- Evaluation of Adaptive Micro-batching Techniques for GPU-accelerated Stream Processing.- TDLPP Workshop Preface.- Sparse-aware CARM: Rooflining locality of sparse computations.- Enhancing Performance Monitoring in C/C++ Programs with EDPM: A Domain-Specific Language for Performance Monitoring.- Leveraging HPC Profiling & Tracing Tools to Understand the Performance of Particle-in-Cell Monte Carlo Simulations.- Performance Prediction for Sparse Matrix Vector Multiplication using Structure-dependent Features.- Analyzing One-Sided Communication Using Memory Access Diagrams.- Preface QuickPar23.- A Framework for Performance Optimization of Internet of Things Applications.- Streaming IoT Data and the Quantum Edge: A Classic/Quantum Machine Learning Use Case.- Dynamic Adaptation of Urgent Applications in the Edge-to-Cloud Continuum.- HeteroPar 2023 Preface.- Leveraging MLIR for Loop Vectorization and GPU Porting of FFT Libraries.- Enabling Dynamic Selection of Implementation Variants in Component-Based Parallel Programming for Heterogeneous Systems.- MassiveClicks: A Massively-parallel Framework for Efficient Click Models Training.- Sparse matrix-vector product for the bmSparse matrix format in GPUs.- Power Estimation Models for Edge Computing Devices.- A performance analysis of leading many-core technologies for Cellular Automata execution.- An approach to performance portability through generic programming.- Boosting the Performance of Object Tracking with a Half-Precision Particle Filter on GPU.- Tall-and-Skinny QR Factorization for Clusters of GPUs using High-Performance Building Blocks.- Scheduling Fork-Joins to Heterogeneous Processors.- jPackFaaS: Profiling Java Serverless Functions Deployment Package Size in Federated FaaS.- ExaNBody : a HPC framework for N-Body applications