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28th Euro-Par 2022: Glasgow, UK
- José Cano, Phil Trinder:
Euro-Par 2022: Parallel Processing - 28th International Conference on Parallel and Distributed Computing, Glasgow, UK, August 22-26, 2022, Proceedings. Lecture Notes in Computer Science 13440, Springer 2022, ISBN 978-3-031-12596-6
Compilers, Tools, and Environments
- Wei Li, Xiaohui Luo, Yiran Zhang, Qingkai Meng, Fengyuan Ren:
CrossDBT: An LLVM-Based User-Level Dynamic Binary Translation Emulator. 3-18 - Alister Johnson, Camille Coti, Allen D. Malony, Johannes Doerfert:
MARTINI: The Little Match and Replace Tool for Automatic Application Rewriting with Code Examples. 19-34 - Matteo Basso, Eduardo Rosales, Filippo Schiavio, Andrea Rosà, Walter Binder:
Accurate Fork-Join Profiling on the Java Virtual Machine. 35-50
Performance and Power Modeling, Prediction and Evaluation
- Maël Madon, Georges Da Costa, Jean-Marc Pierson:
Characterization of Different User Behaviors for Demand Response in Data Centers. 53-68 - Joachim Protze, Fabian Orland, Kingshuk Haldar, Thore Koritzius, Christian Terboven:
On-the-Fly Calculation of Model Factors for Multi-paradigm Applications. 69-84 - Clément Gavoille, Hugo Taboada, Patrick Carribault, Fabrice Dupros, Brice Goglin, Emmanuel Jeannot:
Relative Performance Projection on Arm Architectures. 85-99
Scheduling and Load Balancing
- Mustapha Regragui, Baptiste Coye, Laércio Lima Pilla, Raymond Namyst, Denis Barthou:
Exploring Scheduling Algorithms for Parallel Task Graphs: A Modern Game Engine Case Study. 103-118 - Peter Sanders, Dominik Schreiber:
Decentralized Online Scheduling of Malleable NP-hard Jobs. 119-135 - Eric Angel, Sébastien Morais, Damien Regnault:
A Bi-Criteria FPTAS for Scheduling with Memory Constraints on Graphs with Bounded Tree-Width. 136-151
Data Management, Analytics, and Machine Learning
- Henk Dreuning, Henri E. Bal, Rob V. van Nieuwpoort:
mCAP: Memory-Centric Partitioning for Large-Scale Pipeline-Parallel DNN Training. 155-170 - Martin Molan, Andrea Borghesi, Luca Benini, Andrea Bartolini:
Analysing Supercomputer Nodes Behaviour with the Latent Representation of Deep Learning Models. 171-185 - Johannes Fett, Urs Kober, Christian Schwarz, Dirk Habich, Wolfgang Lehner:
Accelerating Parallel Operation for Compacting Selected Elements on GPUs. 186-200
Cluster and Cloud Computing
- Nicolas Grenèche, Tarek Menouer, Christophe Cérin, Olivier Richard:
A Methodology to Scale Containerized HPC Infrastructures in the Cloud. 203-217 - Philipp Wiesner, Dominik Scheinert, Thorsten Wittkopp, Lauritz Thamsen, Odej Kao:
Cucumber: Renewable-Aware Admission Control for Delay-Tolerant Cloud and Edge Workloads. 218-232 - Angelina Horn, Hamid Mohammadi Fard, Felix Wolf:
Multi-objective Hybrid Autoscaling of Microservices in Kubernetes Clusters. 233-250
Theory and Algorithms for Parallel and Distributed Processing
- Vincent Fagnon, Giorgio Lucarelli, Clément Mommessin, Denis Trystram:
Two-Agent Scheduling with Resource Augmentation on Multiple Machines. 253-267 - Amir Keramatian, Vincenzo Gulisano, Marina Papatriantafilou, Philippas Tsigas:
$\mathtt {IP.LSH.DBSCAN}$: Integrated Parallel Density-Based Clustering Through Locality-Sensitive Hashing. 268-284 - Morteza Ramezani, Mahmut T. Kandemir, Anand Sivasubramaniam:
GraphGuess: Approximate Graph Processing System with Adaptive Correction. 285-300 - Lars Gottesbüren, Michael Hamann:
Deterministic Parallel Hypergraph Partitioning. 301-316
Parallel and Distributed Programming, Interfaces, and Languages
- Jimmy Aguilar Mena, Omar Shaaban, Vicenç Beltran, Paul M. Carpenter, Eduard Ayguadé, Jesús Labarta Mancho:
OmpSs-2@Cluster: Distributed Memory Execution of Nested OpenMP-style Tasks. 319-334 - Federico Pizzuti, Michel Steuwer, Christophe Dubach:
Generating Work Efficient Scan Implementations for GPUs the Functional Way. 335-349 - Jun Shirako, Akihiro Hayashi, Sri Raj Paul, Alexey Tumanov, Vivek Sarkar:
Automatic Parallelization of Python Programs for Distributed Heterogeneous Computing. 350-366
Multicore and Manycore Parallelism
- Bernabé López-Albelda, Francisco M. Castro, José María González-Linares, Nicolás Guil:
A Hybrid Piece-Wise Slowdown Model for Concurrent Kernel Execution on GPU. 369-384
Parallel Numerical Methods and Applications
- Hannah Nöttgen, Fabian Czappa, Felix Wolf:
Accelerating Brain Simulations with the Fast Multipole Method. 387-402 - Ronald Kriemann, Hatem Ltaief, Minh Bau Luong, Francisco E. Hernández Pérez, Hong G. Im, David E. Keyes:
High-Performance Spatial Data Compression for Scientific Applications. 403-418
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