Autor Luszczek, Piotr
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Documentos disponibles escritos por este autor (2)
Hacer una sugerencia Refinar búsqueda36th International Conference, ISC High Performance 2021, Virtual Event, June 24 – July 2, 2021, Proceedings / Chamberlain, Bradford L. ; Varbanescu, Ana-Lucia ; Ltaief, Hatem ; Luszczek, Piotr
TÃtulo : 36th International Conference, ISC High Performance 2021, Virtual Event, June 24 – July 2, 2021, Proceedings Tipo de documento: documento electrónico Autores: Chamberlain, Bradford L., ; Varbanescu, Ana-Lucia, ; Ltaief, Hatem, ; Luszczek, Piotr, Mención de edición: 1 ed. Editorial: [s.l.] : Springer Fecha de publicación: 2021 Número de páginas: XVII, 474 p. 207 ilustraciones, 166 ilustraciones en color. ISBN/ISSN/DL: 978-3-030-78713-4 Nota general: Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos. Palabras clave: diseño lógico IngenierÃa Informática y Redes Arquitecturas de procesador IngenierÃa de software Sistema informático IngenierÃa Informática Arquitectura de Computadores Microprocesador Red informática Implementación de sistema informático Ãndice Dewey: 005.1 Programación (Computadoras) Resumen: Este libro constituye las actas arbitradas de la 36.ª Conferencia Internacional sobre Computación de Alto Rendimiento, ISC High Performance 2021, celebrada virtualmente en junio/julio de 2021. Los 24 artÃculos completos presentados fueron cuidadosamente revisados ​​y seleccionados entre 74 presentaciones. Los artÃculos cubren una amplia gama de temas como arquitectura, redes y almacenamiento; aprendizaje automático, inteligencia artificial y tecnologÃas emergentes; Algoritmos y aplicaciones HPC; modelado, evaluación y análisis del desempeño; y entornos de programación y software de sistemas. Nota de contenido: Architecture, Networks, and Storage -- Microarchitecture of a Configurable High-radix Router for Exascale Interconnect -- BluesMPI: Efficient MPI Non-blocking Alltoall Offloading Designs on Modern BlueField Smart NICs -- Lessons Learned from Accelerating Quicksilver on Programmable Integrated Unified Memory Architecture (PIUMA) and How that's Different from CPU -- A Hierarchical Task Scheduler for Heterogeneous Computing -- Machine Learning, AI, and Emerging Technologies -- Auto-Precision Scaling for Distributed Deep Learning -- FPGA Acceleration of Number Theoretic Transform -- Designing a ROCm-aware MPI Library for AMD GPUs: Early Experiences -- A Tunable Implementation of Quality-of-Service Classes for HPC Networks -- Scalability of Streaming Anomaly Detection in an Unbounded Key Space using Migrating Threads -- HTA: A Scalable High-Throughput Accelerator for Irregular HPC Workloads -- Proctor: A Semi-Supervised Performance Anomaly Diagnosis Framework for Production HPC Systems.-HPC Algorithms and Applications -- COSTA: Communication-Optimal Shuffle and Transpose Algorithm with Process Relabeling -- Enabling AI-Accelerated Multiscale Modeling of Thrombogenesis at Millisecond and Molecular Resolutions on Supercomputers -- Evaluation of the NEC Vector Engine for Legacy CFD Codes -- Distributed Sparse Block Grids on GPUs -- iPUG: Accelerating Breadth-First Graph Traversals using Manycore Graphcore IPUs -- Performance Modeling, Evaluation, and Analysis -- Optimizing GPU-enhanced HPC System and Cloud Procurements for Scientific Workloads -- A Performance Analysis of Modern Parallel Programming Models Using a Compute-Bound Application -- Analytic Modeling of Idle Waves in Parallel Programs: Communication, Cluster Topology, and Noise Impact -- Performance of the Supercomputer Fugaku for Breadth-First Search in Graph500 Benchmark -- Under the Hood of SYCL - An Initial Performance Analysis With an Unstructured-mesh CFD Application -- Characterizing Containerized HPCApplication Performance at Petascale on CPU and GPU Architectures -- Ubiquitous Performance Analysis -- Programming Environments and Systems Software -- Artemis: Automatic Runtime Tuning of Parallel Execution Parameters Using Machine Learning. En lÃnea: https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...] Link: https://biblioteca.umanizales.edu.co/ils/opac_css/index.php?lvl=notice_display&i 36th International Conference, ISC High Performance 2021, Virtual Event, June 24 – July 2, 2021, Proceedings [documento electrónico] / Chamberlain, Bradford L., ; Varbanescu, Ana-Lucia, ; Ltaief, Hatem, ; Luszczek, Piotr, . - 1 ed. . - [s.l.] : Springer, 2021 . - XVII, 474 p. 207 ilustraciones, 166 ilustraciones en color.
ISBN : 978-3-030-78713-4
Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos.
Palabras clave: diseño lógico IngenierÃa Informática y Redes Arquitecturas de procesador IngenierÃa de software Sistema informático IngenierÃa Informática Arquitectura de Computadores Microprocesador Red informática Implementación de sistema informático Ãndice Dewey: 005.1 Programación (Computadoras) Resumen: Este libro constituye las actas arbitradas de la 36.ª Conferencia Internacional sobre Computación de Alto Rendimiento, ISC High Performance 2021, celebrada virtualmente en junio/julio de 2021. Los 24 artÃculos completos presentados fueron cuidadosamente revisados ​​y seleccionados entre 74 presentaciones. Los artÃculos cubren una amplia gama de temas como arquitectura, redes y almacenamiento; aprendizaje automático, inteligencia artificial y tecnologÃas emergentes; Algoritmos y aplicaciones HPC; modelado, evaluación y análisis del desempeño; y entornos de programación y software de sistemas. Nota de contenido: Architecture, Networks, and Storage -- Microarchitecture of a Configurable High-radix Router for Exascale Interconnect -- BluesMPI: Efficient MPI Non-blocking Alltoall Offloading Designs on Modern BlueField Smart NICs -- Lessons Learned from Accelerating Quicksilver on Programmable Integrated Unified Memory Architecture (PIUMA) and How that's Different from CPU -- A Hierarchical Task Scheduler for Heterogeneous Computing -- Machine Learning, AI, and Emerging Technologies -- Auto-Precision Scaling for Distributed Deep Learning -- FPGA Acceleration of Number Theoretic Transform -- Designing a ROCm-aware MPI Library for AMD GPUs: Early Experiences -- A Tunable Implementation of Quality-of-Service Classes for HPC Networks -- Scalability of Streaming Anomaly Detection in an Unbounded Key Space using Migrating Threads -- HTA: A Scalable High-Throughput Accelerator for Irregular HPC Workloads -- Proctor: A Semi-Supervised Performance Anomaly Diagnosis Framework for Production HPC Systems.-HPC Algorithms and Applications -- COSTA: Communication-Optimal Shuffle and Transpose Algorithm with Process Relabeling -- Enabling AI-Accelerated Multiscale Modeling of Thrombogenesis at Millisecond and Molecular Resolutions on Supercomputers -- Evaluation of the NEC Vector Engine for Legacy CFD Codes -- Distributed Sparse Block Grids on GPUs -- iPUG: Accelerating Breadth-First Graph Traversals using Manycore Graphcore IPUs -- Performance Modeling, Evaluation, and Analysis -- Optimizing GPU-enhanced HPC System and Cloud Procurements for Scientific Workloads -- A Performance Analysis of Modern Parallel Programming Models Using a Compute-Bound Application -- Analytic Modeling of Idle Waves in Parallel Programs: Communication, Cluster Topology, and Noise Impact -- Performance of the Supercomputer Fugaku for Breadth-First Search in Graph500 Benchmark -- Under the Hood of SYCL - An Initial Performance Analysis With an Unstructured-mesh CFD Application -- Characterizing Containerized HPCApplication Performance at Petascale on CPU and GPU Architectures -- Ubiquitous Performance Analysis -- Programming Environments and Systems Software -- Artemis: Automatic Runtime Tuning of Parallel Execution Parameters Using Machine Learning. En lÃnea: https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...] Link: https://biblioteca.umanizales.edu.co/ils/opac_css/index.php?lvl=notice_display&i
TÃtulo : ISC High Performance Digital 2021 International Workshops, Frankfurt am Main, Germany, June 24 – July 2, 2021, Revised Selected Papers Tipo de documento: documento electrónico Autores: Jagode, Heike, ; Anzt, Hartwig, ; Ltaief, Hatem, ; Luszczek, Piotr, Mención de edición: 1 ed. Editorial: [s.l.] : Springer Fecha de publicación: 2021 Número de páginas: XIII, 515 p. 199 ilustraciones, 174 ilustraciones en color. ISBN/ISSN/DL: 978-3-030-90539-2 Nota general: Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos. Palabras clave: Application software Inteligencia artificial Aplicaciones informáticas y de sistemas de información Arquitecturas de procesador diseño lógico IngenierÃa Informática Arquitectura de Computadores Microprocesador Red informática IngenierÃa Informática y Redes Ãndice Dewey: 621.39 Ciencia de los computadores (Ingenieria de computadores) Resumen: El capÃtulo "Control basado en aprendizaje automático de flujos de canales perturbados y calentados" está disponible en acceso abierto bajo una licencia internacional Creative Commons Attribution 4.0 a través de link.springer.com. Nota de contenido: Second International Workshop on the Application of Machine Learning Techniques to Computational Fluid Dynamics and Solid Mechanics Simulations and Analysis -- Machine-Learning-Based Control of Perturbed and Heated Channel Flows -- Novel DNNs for Stiff ODEs with Applications to Chemically Reacting Flows -- Lettuce: PyTorch-based Lattice Boltzmann Framework -- Reservoir computing in reduced order modeling for chaotic dynamical systems -- Film cooling prediction and optimization based on deconvolution neural network -- Turbomachinery Blade Surrogate Modeling using Deep Learning -- A Data-driven Wall-shear Stress Model for LES using Gradient Boosted Decision Trees -- Nonlinear mode decomposition and reduced-order modeling for three-dimensional cylinder flow by distributed learning on Fugaku -- Using physics-informed enhanced super-resolution generative adversarial networks to reconstruct mixture fraction statistics of turbulent jet flows -- HPC I/O in the Data Center -- Toward a Workflow for Identifying Jobs with Similar I/O Behavior Utilizing Time Series Analysis -- H3: An Application-Level, Low-Overhead Object Store -- Compiler-assisted Correctness Checking and Performance Optimization for HPC -- Automatic partitioning of MPI operations in MPI+OpenMP applications -- heimdallr: Improving Compile Time Correctness Checking for Message Passing with Rust -- Potential of Interpreter Specialization for Data Analysis -- Refactoring for Performance with Semantic Patching: Case Study with Recipes -- Negative Perceptions About the Applicability of Source-to-Source Compilers in HPC: A Literature Review -- Machine Learning on HPC Systems -- Automatic Tuning of Tensorflow's CPU Backend using Gradient-Free Optimization Algorithms -- MSM: Multi-Stage Multicuts for Scalable Image Clustering -- OmniOpt - a tool for hyperparameter optimization on HPC -- Parallel/distributed intelligent hyperparameters search for GANs -- Machine learning for generic energy models of high performance computing resources -- Fourth International Workshop on Interoperability of Supercomputing and Cloud Technologies -- Automation for Data-Driven Research with the NERSC Superfacility API -- A Middleware Supporting Data Movement inComplex and Software-Defined Storage andMemory Architectures -- Second International Workshop on Monitoring and Operational Data Analytics -- An Operational Data Collecting and Monitoring Platform for Fugaku: System Overviews and Case Studies in the Prelaunch Service Period -- An Explainable Model for Fault Detection in HPC Systems -- Sixteenth Workshop on Virtualization in HighÂ-Performance Cloud Computing -- A Scalable Cloud Deployment Architecture for High-Performance Real-Time Online Interactive Applications -- Leveraging HW approximation for exploiting performance-energy trade-offs within the edge-cloud computing continuum -- Datashim and its applications in Bioinformatics -- FaaS and Curious: Performance implications of serverless functionson edge computing platforms -- Differentiated performance in NoSQL database access for hybrid Cloud-HPC workloads -- Deep Learning on Supercomputers -- JUWELS Booster - A Supercomputer for Large-Scale AI Research -- Fifth International Workshop on In Situ Visualization -- In Situ Visualization of WRF Data using Universal Data Junction -- Catalyst Revised: Rethinking the ParaView In Situ Analysis and Visualization API -- Fides: A General Purpose Data Model Library for Streaming Data.-Including in-situ visualization and analysis in PDI.-. En lÃnea: https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...] Link: https://biblioteca.umanizales.edu.co/ils/opac_css/index.php?lvl=notice_display&i ISC High Performance Digital 2021 International Workshops, Frankfurt am Main, Germany, June 24 – July 2, 2021, Revised Selected Papers [documento electrónico] / Jagode, Heike, ; Anzt, Hartwig, ; Ltaief, Hatem, ; Luszczek, Piotr, . - 1 ed. . - [s.l.] : Springer, 2021 . - XIII, 515 p. 199 ilustraciones, 174 ilustraciones en color.
ISBN : 978-3-030-90539-2
Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos.
Palabras clave: Application software Inteligencia artificial Aplicaciones informáticas y de sistemas de información Arquitecturas de procesador diseño lógico IngenierÃa Informática Arquitectura de Computadores Microprocesador Red informática IngenierÃa Informática y Redes Ãndice Dewey: 621.39 Ciencia de los computadores (Ingenieria de computadores) Resumen: El capÃtulo "Control basado en aprendizaje automático de flujos de canales perturbados y calentados" está disponible en acceso abierto bajo una licencia internacional Creative Commons Attribution 4.0 a través de link.springer.com. Nota de contenido: Second International Workshop on the Application of Machine Learning Techniques to Computational Fluid Dynamics and Solid Mechanics Simulations and Analysis -- Machine-Learning-Based Control of Perturbed and Heated Channel Flows -- Novel DNNs for Stiff ODEs with Applications to Chemically Reacting Flows -- Lettuce: PyTorch-based Lattice Boltzmann Framework -- Reservoir computing in reduced order modeling for chaotic dynamical systems -- Film cooling prediction and optimization based on deconvolution neural network -- Turbomachinery Blade Surrogate Modeling using Deep Learning -- A Data-driven Wall-shear Stress Model for LES using Gradient Boosted Decision Trees -- Nonlinear mode decomposition and reduced-order modeling for three-dimensional cylinder flow by distributed learning on Fugaku -- Using physics-informed enhanced super-resolution generative adversarial networks to reconstruct mixture fraction statistics of turbulent jet flows -- HPC I/O in the Data Center -- Toward a Workflow for Identifying Jobs with Similar I/O Behavior Utilizing Time Series Analysis -- H3: An Application-Level, Low-Overhead Object Store -- Compiler-assisted Correctness Checking and Performance Optimization for HPC -- Automatic partitioning of MPI operations in MPI+OpenMP applications -- heimdallr: Improving Compile Time Correctness Checking for Message Passing with Rust -- Potential of Interpreter Specialization for Data Analysis -- Refactoring for Performance with Semantic Patching: Case Study with Recipes -- Negative Perceptions About the Applicability of Source-to-Source Compilers in HPC: A Literature Review -- Machine Learning on HPC Systems -- Automatic Tuning of Tensorflow's CPU Backend using Gradient-Free Optimization Algorithms -- MSM: Multi-Stage Multicuts for Scalable Image Clustering -- OmniOpt - a tool for hyperparameter optimization on HPC -- Parallel/distributed intelligent hyperparameters search for GANs -- Machine learning for generic energy models of high performance computing resources -- Fourth International Workshop on Interoperability of Supercomputing and Cloud Technologies -- Automation for Data-Driven Research with the NERSC Superfacility API -- A Middleware Supporting Data Movement inComplex and Software-Defined Storage andMemory Architectures -- Second International Workshop on Monitoring and Operational Data Analytics -- An Operational Data Collecting and Monitoring Platform for Fugaku: System Overviews and Case Studies in the Prelaunch Service Period -- An Explainable Model for Fault Detection in HPC Systems -- Sixteenth Workshop on Virtualization in HighÂ-Performance Cloud Computing -- A Scalable Cloud Deployment Architecture for High-Performance Real-Time Online Interactive Applications -- Leveraging HW approximation for exploiting performance-energy trade-offs within the edge-cloud computing continuum -- Datashim and its applications in Bioinformatics -- FaaS and Curious: Performance implications of serverless functionson edge computing platforms -- Differentiated performance in NoSQL database access for hybrid Cloud-HPC workloads -- Deep Learning on Supercomputers -- JUWELS Booster - A Supercomputer for Large-Scale AI Research -- Fifth International Workshop on In Situ Visualization -- In Situ Visualization of WRF Data using Universal Data Junction -- Catalyst Revised: Rethinking the ParaView In Situ Analysis and Visualization API -- Fides: A General Purpose Data Model Library for Streaming Data.-Including in-situ visualization and analysis in PDI.-. En lÃnea: https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...] Link: https://biblioteca.umanizales.edu.co/ils/opac_css/index.php?lvl=notice_display&i
