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会议文集
文集名
Parallel Processing and Applied Mathematics
会议名
14th International Conference on Parallel Processing and Applied Mathematics (PPAM 2022)
中译名
《第十四届国际并行处理与应用数学会议,卷1》
会议日期
September 11-14, 2022
会议地点
Gdansk, Poland
出版年
2023
馆藏号
349208
题名
作者
出版年
How Accurate Does Newton Have to Be?
Carl Christian Kjelgaard Mikkelsen; Lorien Lopez-Villellas; Pablo Garcia-Risueno
2023
General Framework for Deriving Reproducible Krylov Subspace Algorithms: BiCGStab Case
Roman Iakymchuk; Stef Graillat; Jose I. Aliaga
2023
A Generalized Parallel Prefix Sums Algorithm for Arbitrary Size Arrays
Andrzej Sikorski; Izajasz Wrosz; Michal Lewandowski
2023
Infinite-Precision Inner Product and Sparse Matrix-Vector Multiplication Using Ozaki Scheme with Dot2 on Manycore Processors
Daichi Mukunoki; Katsuhisa Ozaki; Takeshi Ogita; Toshiyuki Imamura
2023
Advanced Stochastic Approaches for Applied Computing in Environmental Modeling
Venelin Todorov; Ivan Dimov; Maria Ganzha; Marcin Paprzycki
2023
Parallel Suffix Sorting for Large String Analytics
Zhihui Du; Sen Zhang; David A. Bader
2023
Parallel Extremely Randomized Decision Forests on Graphics Processors for Text Classification
Julio Cesar Batista Pires; Wellington Santos Martins
2023
RDBMS Speculative Support Improvement by the Use of the Query Hypergraph Representation
Anna Sasak-Okon; Marek Tudruj
2023
Mixed Precision Algebraic Multigrid on GPUs
Yu-Hsiang Mike Tsai; Natalie Beams; Hartwig Anzt
2023
Compact In-Memory Representation of Decision Trees in GPU-Accelerated Evolutionary Induction
Krzysztof Jurczuk; Marcin Czajkowski; Marek Kretowski
2023
Neural Nets with a Newton Conjugate Gradient Method on Multiple GPUs
Severin Reiz; Tobias Neckel; Hans-Joachim Bungartz
2023
Exploring Techniques for the Analysis of Spontaneous Asynchronicity in MPI-Parallel Applications
Ayesha Afzal; Georg Hager; Gerhard Wellein; Stefano Markidis
2023
Cost and Performance Analysis of MPI-Based SaaS on the Private Cloud Infrastructure
Oleg Bystrov; Arnas Kaceniauskas; Ruslan Pacevic
2023
Building a Fine-Grained Analytical Performance Model for Complex Scientific Simulations
Jelle van Dijk; Gabor Zavodszky; Ana-Lucia Varbanescu; Andy D. Pimentel; Alfons Hoekstra
2023
Evaluation of Machine Learning Techniques for Predicting Run Times of Scientific Workflow Jobs
Bartosz Balis; Michal Grabowski
2023
Smart Clustering of HPC Applications Using Similar Job Detection Methods
Denis Shaikhislamov; Vadim Voevodin
2023
Distributed Work Stealing in a Task-Based Dataflow Runtime
Joseph John; Josh Milthorpe; Peter Strazdins
2023
Task Scheduler for Heterogeneous Data Centres Based on Deep Reinforcement Learning
Jaime Fomperosa; Mario Ibanez; Esteban Stafford; Jose Luis Bosque
2023
Shisha: Online Scheduling of CNN Pipelines on Heterogeneous Architectures
Pirah Noor Soomro; Mustafa Abduljabbar; Jeronimo Castrillon; Miquel Pericas
2023
Proactive Task Offloading for Load Balancing in Iterative Applications
Minh Thanh Chung; Josef Weidendorfer; Karl Furlinger; Dieter Kranzlmuller
2023
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