High Performance Computing : 38th International Conference, ISC High Performance 2023, Hamburg, Germany, May 21-25, 2023, Proceedings |
Autore | Bhatele Abhinav |
Edizione | [1st ed.] |
Pubbl/distr/stampa | Cham : , : Springer International Publishing AG, , 2023 |
Descrizione fisica | 1 online resource (432 pages) |
Disciplina | 004.3 |
Altri autori (Persone) |
HammondJeff
BaboulinMarc KruseCarola |
Collana | Lecture Notes in Computer Science Series |
Soggetto non controllato | Mathematics |
ISBN |
9783031320415
9783031320408 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNISA-996534466903316 |
Bhatele Abhinav | ||
Cham : , : Springer International Publishing AG, , 2023 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. di Salerno | ||
|
High Performance Computing : 38th International Conference, ISC High Performance 2023, Hamburg, Germany, May 21-25, 2023, Proceedings |
Autore | Bhatele Abhinav |
Edizione | [1st ed.] |
Pubbl/distr/stampa | Cham : , : Springer International Publishing AG, , 2023 |
Descrizione fisica | 1 online resource (432 pages) |
Disciplina | 004.3 |
Altri autori (Persone) |
HammondJeff
BaboulinMarc KruseCarola |
Collana | Lecture Notes in Computer Science Series |
Soggetto non controllato | Mathematics |
ISBN |
9783031320415
9783031320408 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910725094903321 |
Bhatele Abhinav | ||
Cham : , : Springer International Publishing AG, , 2023 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|
High Performance Computing [[electronic resource] ] : ISC High Performance 2023 International Workshops, Hamburg, Germany, May 21–25, 2023, Revised Selected Papers / / edited by Amanda Bienz, Michèle Weiland, Marc Baboulin, Carola Kruse |
Autore | Bienz Amanda |
Edizione | [1st ed. 2023.] |
Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023 |
Descrizione fisica | 1 online resource (677 pages) |
Disciplina |
621.39
004.6 |
Altri autori (Persone) |
WeilandMichèle
BaboulinMarc KruseCarola |
Collana | Lecture Notes in Computer Science |
Soggetto topico |
Computer engineering
Computer networks Computer Engineering and Networks |
ISBN | 3-031-40843-8 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | 2nd International Workshop on Malleability Techniques Applications in High-Performance Computing (HPCMALL) -- From Static to Malleable: Improving Flexibility and Compatibility in Burst Buffer File Systems -- Malleable techniques and resource scheduling to improve energy efficiency in parallel applications -- Towards Achieving Transparent Malleability Thanks to MPI Process Virtualization -- A Case Study on PMIx-usage for Dynamic Resource Management -- Malleable and adaptive ad-hoc file system for data intensive workloads in HPC applications -- Malleable and adaptive ad-hoc file system for data intensive workloads in HPC applications -- Towards Smarter Schedulers: Molding Jobs into the Right Shape via Monitoring and Modeling -- 18th Workshop on Virtualization in High-Performance Cloud Computing (VHPC 23) -- Improving live migration efficiency in QEMU: a paravirtualized approach -- Performance losses with virtualization: Comparing bare metal to VMs and containers -- Real-Time Unikernels: a First Look -- Accelerating Scientific Applications with the Quantum Edge: a Drug Design Use Case -- Event-Driven Chaos Testing For Containerized Applications -- HPC I/O in the Data Center (HPC IODC) -- Analyzing Parallel Applications for Unnecessary I/O Semantics That Inhibit File System Performance -- Workshop on Converged Computing of Cloud, HPC, and Edge (WOCC’23) -- Running Kubernetes Workloads on HPC -- A GPU-accelerated Molecular Docking Workflow with Kubernetes and Apache Airflow -- Cloud-Bursting and Autoscaling for Python-Native Scientific Workflows Using Ray -- Understanding System Resilience for Converged Computing of Cloud, Edge, and HPC -- Estimating the Energy Consumption of Applications in the Computing Continuum with iFogSim -- 7th International Workshop on In Situ Visualization (WOIV’23) -- Inshimtu – A Lightweight In Situ Visualization “Shim” -- Catalyst-ADIOS2: in transit analysis for numerical simulations using Catalyst 2 API -- A Case Study on Providing Accessibility-Focused In-Transit Architectures for Neural Network Simulation and Analysis -- Workshop on Monitoring and Operational Data Analytics (MODA23) -- Automatic Detection of HPC Job Inefficiencies at TU Dresden’s HPC center with PIKA -- ML-based methodology for HPC facilities supervision -- A Fast Simulator to Enable HPC Scheduling Strategy Comparisons -- 2nd Workshop on Communication, I/O, and Storage at Scale on Next-Generation Platforms: Scalable Infrastructures -- Application Performance Analysis: a Report on the Impact of Memory Bandwidth -- DAOS beyond Persistent Memory: Architecture and Initial Performance Results -- Enabling Multi-level Network Modeling in Structural Simulation Toolkit for Next-Generation HPC Network Design Space Exploration -- Portability and Scalability of OpenMP Offloading on State-of-the-art Accelerators -- An Earlier Experiences towards Optimizing Apache Spark over Frontera Supercomputer -- Bandwidth Limits in the Intel Xeon Max (Sapphire Rapids with HBM) Processors -- First International Workshop on RISC-V for HPC -- Test-driving RISC-V Vector hardware for HPC -- Backporting RISC-V Vector assembly -- Functional Testing with STLs: A Step Towards Reliable RISC-V-based HPC Commodity Clusters -- Challenges and Opportunities for RISC-V Arquitectures towards Genomics-based Workloads -- Optimizations for Very Long and Sparse Vector Operations on a RISC-V VPU : A Work-in-progress -- Performance Modelling-driven Optimization of RISC-V Hardware for Efficient SpMV -- Prototyping reconfigurable RRAM-based AI accelerators using the RISC-V ecosystem and Digital Twins -- Optimization of the FFT algorithm on RISC-V CPUs -- Software Development Vehicles to enable extended and early co-design: a RISC-V and HPC case of study -- Evaluation of HPC Workloads Running on Open-Source RISC-V Hardware -- Accelerating Neural Networks using Open Standard Software on RISC-V -- Second Combined Workshop on Interactive and Urgent Supercomputing (CWIUS) -- From Desktop to Supercomputer: Computational Fluid Dynamics Augmented by Molecular Dynamics using MaMiCo and preCICE -- Open OnDemand Connector for Amazon Elastic Kubernetes Service -- HPC on Heterogeneous Hardware (H3) -- GEMM-Like Convolution for Deep Learning Inference on the Xilinx Versal -- An Investigation into the Performance and Portability of SYCL Compiler Implementations -- Observed Memory Bandwidth and Power Usage on FPGA Platforms with oneAPI and Vitis HLS: A Comparison with GPUs -- Evaluating Quantum Algorithms for Linear Algebra Workflows -- Exploring the Use of Dataflow Architectures for Graph Neural Network Workloads -- OpenACC unified programming environment for multi-hybrid acceleration with GPU and FPGA. |
Record Nr. | UNISA-996546850503316 |
Bienz Amanda | ||
Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. di Salerno | ||
|
High Performance Computing : ISC High Performance 2023 International Workshops, Hamburg, Germany, May 21–25, 2023, Revised Selected Papers / / edited by Amanda Bienz, Michèle Weiland, Marc Baboulin, Carola Kruse |
Autore | Bienz Amanda |
Edizione | [1st ed. 2023.] |
Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023 |
Descrizione fisica | 1 online resource (677 pages) |
Disciplina |
621.39
004.6 004.3 |
Altri autori (Persone) |
WeilandMichèle
BaboulinMarc KruseCarola |
Collana | Lecture Notes in Computer Science |
Soggetto topico |
Computer engineering
Computer networks Computer Engineering and Networks |
ISBN | 3-031-40843-8 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | 2nd International Workshop on Malleability Techniques Applications in High-Performance Computing (HPCMALL) -- From Static to Malleable: Improving Flexibility and Compatibility in Burst Buffer File Systems -- Malleable techniques and resource scheduling to improve energy efficiency in parallel applications -- Towards Achieving Transparent Malleability Thanks to MPI Process Virtualization -- A Case Study on PMIx-usage for Dynamic Resource Management -- Malleable and adaptive ad-hoc file system for data intensive workloads in HPC applications -- Malleable and adaptive ad-hoc file system for data intensive workloads in HPC applications -- Towards Smarter Schedulers: Molding Jobs into the Right Shape via Monitoring and Modeling -- 18th Workshop on Virtualization in High-Performance Cloud Computing (VHPC 23) -- Improving live migration efficiency in QEMU: a paravirtualized approach -- Performance losses with virtualization: Comparing bare metal to VMs and containers -- Real-Time Unikernels: a First Look -- Accelerating Scientific Applications with the Quantum Edge: a Drug Design Use Case -- Event-Driven Chaos Testing For Containerized Applications -- HPC I/O in the Data Center (HPC IODC) -- Analyzing Parallel Applications for Unnecessary I/O Semantics That Inhibit File System Performance -- Workshop on Converged Computing of Cloud, HPC, and Edge (WOCC’23) -- Running Kubernetes Workloads on HPC -- A GPU-accelerated Molecular Docking Workflow with Kubernetes and Apache Airflow -- Cloud-Bursting and Autoscaling for Python-Native Scientific Workflows Using Ray -- Understanding System Resilience for Converged Computing of Cloud, Edge, and HPC -- Estimating the Energy Consumption of Applications in the Computing Continuum with iFogSim -- 7th International Workshop on In Situ Visualization (WOIV’23) -- Inshimtu – A Lightweight In Situ Visualization “Shim” -- Catalyst-ADIOS2: in transit analysis for numerical simulations using Catalyst 2 API -- A Case Study on Providing Accessibility-Focused In-Transit Architectures for Neural Network Simulation and Analysis -- Workshop on Monitoring and Operational Data Analytics (MODA23) -- Automatic Detection of HPC Job Inefficiencies at TU Dresden’s HPC center with PIKA -- ML-based methodology for HPC facilities supervision -- A Fast Simulator to Enable HPC Scheduling Strategy Comparisons -- 2nd Workshop on Communication, I/O, and Storage at Scale on Next-Generation Platforms: Scalable Infrastructures -- Application Performance Analysis: a Report on the Impact of Memory Bandwidth -- DAOS beyond Persistent Memory: Architecture and Initial Performance Results -- Enabling Multi-level Network Modeling in Structural Simulation Toolkit for Next-Generation HPC Network Design Space Exploration -- Portability and Scalability of OpenMP Offloading on State-of-the-art Accelerators -- An Earlier Experiences towards Optimizing Apache Spark over Frontera Supercomputer -- Bandwidth Limits in the Intel Xeon Max (Sapphire Rapids with HBM) Processors -- First International Workshop on RISC-V for HPC -- Test-driving RISC-V Vector hardware for HPC -- Backporting RISC-V Vector assembly -- Functional Testing with STLs: A Step Towards Reliable RISC-V-based HPC Commodity Clusters -- Challenges and Opportunities for RISC-V Arquitectures towards Genomics-based Workloads -- Optimizations for Very Long and Sparse Vector Operations on a RISC-V VPU : A Work-in-progress -- Performance Modelling-driven Optimization of RISC-V Hardware for Efficient SpMV -- Prototyping reconfigurable RRAM-based AI accelerators using the RISC-V ecosystem and Digital Twins -- Optimization of the FFT algorithm on RISC-V CPUs -- Software Development Vehicles to enable extended and early co-design: a RISC-V and HPC case of study -- Evaluation of HPC Workloads Running on Open-Source RISC-V Hardware -- Accelerating Neural Networks using Open Standard Software on RISC-V -- Second Combined Workshop on Interactive and Urgent Supercomputing (CWIUS) -- From Desktop to Supercomputer: Computational Fluid Dynamics Augmented by Molecular Dynamics using MaMiCo and preCICE -- Open OnDemand Connector for Amazon Elastic Kubernetes Service -- HPC on Heterogeneous Hardware (H3) -- GEMM-Like Convolution for Deep Learning Inference on the Xilinx Versal -- An Investigation into the Performance and Portability of SYCL Compiler Implementations -- Observed Memory Bandwidth and Power Usage on FPGA Platforms with oneAPI and Vitis HLS: A Comparison with GPUs -- Evaluating Quantum Algorithms for Linear Algebra Workflows -- Exploring the Use of Dataflow Architectures for Graph Neural Network Workloads -- OpenACC unified programming environment for multi-hybrid acceleration with GPU and FPGA. |
Record Nr. | UNINA-9910742497503321 |
Bienz Amanda | ||
Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|
High Performance Computing. ISC High Performance 2024 International Workshops : Hamburg, Germany, May 12-16, 2024, Revised Selected Papers |
Autore | Weiland Michèle |
Edizione | [1st ed.] |
Pubbl/distr/stampa | Cham : , : Springer, , 2025 |
Descrizione fisica | 1 online resource (493 pages) |
Altri autori (Persone) |
NeuwirthSarah
KruseCarola WeinzierlTobias |
Collana | Lecture Notes in Computer Science Series |
ISBN |
9783031737169
3031737164 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNISA-996635670803316 |
Weiland Michèle | ||
Cham : , : Springer, , 2025 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. di Salerno | ||
|