PPAM (1)

Keyphrases

Publications

volume 13826, 2023

Parallel Processing and Applied Mathematics - 14th International Conference, PPAM 2022, Gdansk, Poland, September 11-14, 2022, Revised Selected Papers, Part I PPAM (1) 13826 (2023)

2022

Julio Cesar Batista Pires, Wellington Santos Martins
Parallel Extremely Randomized Decision Forests on Graphics Processors for Text Classification. PPAM (1) (2022)
Pirah Noor Soomro, Mustafa Abduljabbar, Jerónimo Castrillón, Miquel Pericàs
Shisha: Online Scheduling of CNN Pipelines on Heterogeneous Architectures. PPAM (1) (2022)
Zhihui Du, Sen Zhang, David A. Bader
Parallel Suffix Sorting for Large String Analytics. PPAM (1) (2022)
Ahmad Ababaei, Antoine Michel, Bogdan Rosa
A Novel Parallel Approach for Modeling the Dynamics of Aerodynamically Interacting Particles in Turbulent Flows. PPAM (1) (2022)
Masato Kobayashi, Shuhei Kudo, Takeo Hoshi, Yusaku Yamamoto
Automatic Code Selection for the Dense Symmetric Generalized Eigenvalue Problem Using ATMathCoreLib. PPAM (1) (2022)
Roman Iakymchuk, Stef Graillat, José Ignacio Aliaga
General Framework for Deriving Reproducible Krylov Subspace Algorithms: BiCGStab Case. PPAM (1) (2022)
Joseph John, Josh Milthorpe, Peter Strazdins
Distributed Work Stealing in a Task-Based Dataflow Runtime. PPAM (1) (2022)
Felix Liu, Måns I. Andersson, Albin Fredriksson, Stefano Markidis
Distributed Objective Function Evaluation for Optimization of Radiation Therapy Treatment Plans. PPAM (1) (2022)
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. PPAM (1) (2022)
Anna Sasak-Okon, Marek Tudruj
RDBMS Speculative Support Improvement by the Use of the Query Hypergraph Representation. PPAM (1) (2022)
Jaime Fomperosa, Mario Ibáñez, Esteban Stafford, José Luis Bosque
Task Scheduler for Heterogeneous Data Centres Based on Deep Reinforcement Learning. PPAM (1) (2022)
Bartosz Balis, Michal Grabowski
Evaluation of Machine Learning Techniques for Predicting Run Times of Scientific Workflow Jobs. PPAM (1) (2022)
Anshu Dubey, Tom Klosterman
Language Agnostic Approach for Unification of Implementation Variants for Different Computing Devices. PPAM (1) (2022)
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. PPAM (1) (2022)
Venelin Todorov, Ivan Dimov, Maria Ganzha, Marcin Paprzycki
Advanced Stochastic Approaches for Applied Computing in Environmental Modeling. PPAM (1) (2022)
Lukasz Karbowiak, Mariusz Kubanek
Using AI-based Edge Processing in Monitoring the Pedestrian Crossing. PPAM (1) (2022)
Ayesha Afzal, Georg Hager, Gerhard Wellein, Stefano Markidis
Exploring Techniques for the Analysis of Spontaneous Asynchronicity in MPI-Parallel Applications. PPAM (1) (2022)
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. PPAM (1) (2022)
Denis Shaikhislamov, Vadim V. Voevodin
Smart Clustering of HPC Applications Using Similar Job Detection Methods. PPAM (1) (2022)
Andrzej Sikorski, Izajasz P. Wrosz, Michal Lewandowski
A Generalized Parallel Prefix Sums Algorithm for Arbitrary Size Arrays. PPAM (1) (2022)
Krzysztof Jurczuk, Marcin Czajkowski, Marek Kretowski
Compact In-Memory Representation of Decision Trees in GPU-Accelerated Evolutionary Induction. PPAM (1) (2022)
Minh Thanh Chung, Josef Weidendorfer, Karl Fürlinger, Dieter Kranzlmüller
Proactive Task Offloading for Load Balancing in Iterative Applications. PPAM (1) (2022)
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. PPAM (1) (2022)
Krzysztof Trojanowski, Artur Mikitiuk, Jakub A. Grzeszczak
Ant System Inspired Heuristic Optimization of UAVs Deployment for k-Coverage Problem. PPAM (1) (2022)
Nitin Satpute, Anna Hambitzer, Saeed Aljaberi, Najwa Aaraj
GPU4SNN: GPU-Based Acceleration for Spiking Neural Network Simulations. PPAM (1) (2022)
Måns I. Andersson, Natarajan Arul Murugan, Artur Podobas, Stefano Markidis
Breaking Down the Parallel Performance of GROMACS, a High-Performance Molecular Dynamics Software. PPAM (1) (2022)
Carl Christian Kjelgaard Mikkelsen, Lorién López-Villellas, Pablo García-Risueño
How Accurate Does Newton Have to Be? PPAM (1) (2022)
Oleg Bystrov, Arnas Kaceniauskas, Ruslan Pacevic
Cost and Performance Analysis of MPI-Based SaaS on the Private Cloud Infrastructure. PPAM (1) (2022)
Severin Reiz, Tobias Neckel, Hans-Joachim Bungartz
Neural Nets with a Newton Conjugate Gradient Method on Multiple GPUs. PPAM (1) (2022)
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. PPAM (1) (2022)
Daniil Pavlov, Daniil Kolotinskii, Vladimir V. Stegailov
GPU-Based Molecular Dynamics of Turbulent Liquid Flows with OpenMM. PPAM (1) (2022)
Alberto Cabrera Pérez, Pavel Nichita, Sergio Afonso, Francisco Almeida, Vicente Blanco Pérez
Reliable Energy Measurement on Heterogeneous Systems-on-Chip Based Environments. PPAM (1) (2022)
Gabriel Oksa, Martin Becka
On Relative Accuracy of the One-Sided Block-Jacobi SVD Algorithm. PPAM (1) (2022)
Yu-Hsiang Mike Tsai, Natalie Beams, Hartwig Anzt
Mixed Precision Algebraic Multigrid on GPUs. PPAM (1) (2022)
Dawid Wieczerzak, Pawel Czarnul
Dataset Related Experimental Investigation of Chess Position Evaluation Using a Deep Neural Network. PPAM (1) (2022)

volume 12043, 2020

Parallel Processing and Applied Mathematics - 13th International Conference, PPAM 2019, Bialystok, Poland, September 8-11, 2019, Revised Selected Papers, Part I PPAM (1) 12043 (2020)

2019