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ORCID14th PPAM 2022: Gdansk, Poland - Part 1
- Roman Wyrzykowski, Jack J. Dongarra, Ewa Deelman, Konrad Karczewski:
Parallel Processing and Applied Mathematics - 14th International Conference, PPAM 2022, Gdansk, Poland, September 11-14, 2022, Revised Selected Papers, Part I. Lecture Notes in Computer Science 13826, Springer 2023, ISBN 978-3-031-30441-5
Numerical Algorithms and Parallel Scientific Computing
- Carl Christian Kjelgaard Mikkelsen
, Lorién López-Villellas, Pablo García-Risueño:
How Accurate Does Newton Have to Be? 3-15 - Roman Iakymchuk, Stef Graillat, José Ignacio Aliaga:
General Framework for Deriving Reproducible Krylov Subspace Algorithms: BiCGStab Case. 16-29 - Andrzej Sikorski, Izajasz P. Wrosz, Michal Lewandowski:
A Generalized Parallel Prefix Sums Algorithm for Arbitrary Size Arrays. 30-39 - Daichi Mukunoki, Katsuhisa Ozaki, Takeshi Ogita, Toshiyuki Imamura:
Infinite-Precision Inner Product and Sparse Matrix-Vector Multiplication Using Ozaki Scheme with Dot2 on Manycore Processors. 40-54 - Venelin Todorov, Ivan Dimov, Maria Ganzha, Marcin Paprzycki:
Advanced Stochastic Approaches for Applied Computing in Environmental Modeling. 55-67
Parallel Non-numerical Algorithms
- Zhihui Du, Sen Zhang, David A. Bader:
Parallel Suffix Sorting for Large String Analytics. 71-82 - Julio Cesar Batista Pires, Wellington Santos Martins:
Parallel Extremely Randomized Decision Forests on Graphics Processors for Text Classification. 83-94 - Anna Sasak-Okon, Marek Tudruj:
RDBMS Speculative Support Improvement by the Use of the Query Hypergraph Representation. 95-109
GPU Computing
- Yu-Hsiang Mike Tsai, Natalie Beams, Hartwig Anzt:
Mixed Precision Algebraic Multigrid on GPUs. 113-125 - Krzysztof Jurczuk, Marcin Czajkowski, Marek Kretowski:
Compact In-Memory Representation of Decision Trees in GPU-Accelerated Evolutionary Induction. 126-138 - Severin Reiz, Tobias Neckel, Hans-Joachim Bungartz:
Neural Nets with a Newton Conjugate Gradient Method on Multiple GPUs. 139-152
Performance Analysis and Prediction in HPC Systems
- Ayesha Afzal, Georg Hager, Gerhard Wellein, Stefano Markidis:
Exploring Techniques for the Analysis of Spontaneous Asynchronicity in MPI-Parallel Applications. 155-170 - Oleg Bystrov, Arnas Kaceniauskas, Ruslan Pacevic:
Cost and Performance Analysis of MPI-Based SaaS on the Private Cloud Infrastructure. 171-182 - Jelle van Dijk, Gábor Závodszky, Ana Lucia Varbanescu, Andy D. Pimentel, Alfons G. Hoekstra:
Building a Fine-Grained Analytical Performance Model for Complex Scientific Simulations. 183-196 - Bartosz Balis, Michal Grabowski:
Evaluation of Machine Learning Techniques for Predicting Run Times of Scientific Workflow Jobs. 197-208 - Denis Shaikhislamov, Vadim V. Voevodin:
Smart Clustering of HPC Applications Using Similar Job Detection Methods. 209-221
Scheduling for Parallel Computing
- Joseph John, Josh Milthorpe, Peter Strazdins:
Distributed Work Stealing in a Task-Based Dataflow Runtime. 225-236 - Jaime Fomperosa, Mario Ibáñez, Esteban Stafford, José Luis Bosque:
Task Scheduler for Heterogeneous Data Centres Based on Deep Reinforcement Learning. 237-248 - Pirah Noor Soomro, Mustafa Abduljabbar, Jerónimo Castrillón, Miquel Pericàs:
Shisha: Online Scheduling of CNN Pipelines on Heterogeneous Architectures. 249-262 - Minh Thanh Chung, Josef Weidendorfer, Karl Fürlinger, Dieter Kranzlmüller:
Proactive Task Offloading for Load Balancing in Iterative Applications. 263-275
Environments and Frameworks for Parallel/Cloud Computing
- Anshu Dubey, Tom Klosterman:
Language Agnostic Approach for Unification of Implementation Variants for Different Computing Devices. 279-290 - Niranda Perera, Supun Kamburugamuve, Chathura Widanage, Vibhatha Abeykoon, Ahmet Uyar, Kaiying Shan, Hasara Maithree, Damitha Lenadora, Thejaka Amila Kanewala, Geoffrey C. Fox:
High Performance Dataframes from Parallel Processing Patterns. 291-304 - Michal Orzechowski, Michal Wrzeszcz, Bartosz Kryza, Lukasz Dutka, Renata G. Slota, Jacek Kitowski:
Global Access to Legacy Data-Sets in Multi-cloud Applications with Onedata. 305-317
Applications of Parallel and Distributed Computing
- Rafael Ravedutti Lucio Machado, Jan Eitzinger, Harald Köstler, Gerhard Wellein:
MD-Bench: A Generic Proxy-App Toolbox for State-of-the-Art Molecular Dynamics Algorithms. 321-332 - Måns I. Andersson, Natarajan Arul Murugan, Artur Podobas, Stefano Markidis:
Breaking Down the Parallel Performance of GROMACS, a High-Performance Molecular Dynamics Software. 333-345 - Daniil Pavlov, Daniil Kolotinskii, Vladimir V. Stegailov:
GPU-Based Molecular Dynamics of Turbulent Liquid Flows with OpenMM. 346-358 - Ahmad Ababaei, Antoine Michel, Bogdan Rosa:
A Novel Parallel Approach for Modeling the Dynamics of Aerodynamically Interacting Particles in Turbulent Flows. 359-370 - Alberto Cabrera Pérez, Pavel Nichita, Sergio Afonso, Francisco Almeida, Vicente Blanco Pérez:
Reliable Energy Measurement on Heterogeneous Systems-on-Chip Based Environments. 371-382 - Felix Liu, Måns I. Andersson, Albin Fredriksson, Stefano Markidis:
Distributed Objective Function Evaluation for Optimization of Radiation Therapy Treatment Plans. 383-395
Soft Computing with Applications
- Nitin Satpute, Anna Hambitzer, Saeed Aljaberi, Najwa Aaraj:
GPU4SNN: GPU-Based Acceleration for Spiking Neural Network Simulations. 399-413 - Krzysztof Trojanowski, Artur Mikitiuk, Jakub A. Grzeszczak:
Ant System Inspired Heuristic Optimization of UAVs Deployment for k-Coverage Problem. 414-428 - Dawid Wieczerzak, Pawel Czarnul:
Dataset Related Experimental Investigation of Chess Position Evaluation Using a Deep Neural Network. 429-440 - Lukasz Karbowiak, Mariusz Kubanek:
Using AI-based Edge Processing in Monitoring the Pedestrian Crossing. 441-450
Special Session on Parallel EVD/SVD and its Application in Matrix Computations
- Masato Kobayashi, Shuhei Kudo, Takeo Hoshi, Yusaku Yamamoto:
Automatic Code Selection for the Dense Symmetric Generalized Eigenvalue Problem Using ATMathCoreLib. 453-463 - Gabriel Oksa, Martin Becka:
On Relative Accuracy of the One-Sided Block-Jacobi SVD Algorithm. 464-475
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