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El. knyga: High Performance Computing: ISC High Performance 2023 International Workshops, Hamburg, Germany, May 21-25, 2023, Revised Selected Papers

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  • Formatas: EPUB+DRM
  • Serija: Lecture Notes in Computer Science 13999
  • Išleidimo metai: 24-Aug-2023
  • Leidėjas: Springer International Publishing AG
  • Kalba: eng
  • ISBN-13: 9783031408434
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  • Formatas: EPUB+DRM
  • Serija: Lecture Notes in Computer Science 13999
  • Išleidimo metai: 24-Aug-2023
  • Leidėjas: Springer International Publishing AG
  • Kalba: eng
  • ISBN-13: 9783031408434
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This volume constitutes the papers of several workshops which were held in conjunction with the 38th International Conference on High Performance Computing, ISC High Performance 2023, held in Hamburg, Germany, during May 2125, 2023. 





 





The 49 revised full papers presented in this book were carefully reviewed and selected from 70 submissions. 





 





 ISC High Performance 2023 presents the following workshops: 





 









2nd International Workshop on Malleability Techniques Applications in High-Performance Computing (HPCMALL) 18th Workshop on Virtualization in High-Performance Cloud Computing (VHPC 23) HPC I/O in the Data Center (HPC IODC) Workshop on Converged Computing of Cloud, HPC, and Edge (WOCC23) 7th International Workshop on In Situ Visualization (WOIV23) Workshop on Monitoring and Operational Data Analytics (MODA23) 2nd Workshop on Communication, I/O, and Storage at Scale on Next-Generation Platforms: Scalable Infrastructures First International Workshop on RISC-V for HPC Second Combined Workshop on Interactive and Urgent Supercomputing (CWIUS) HPC on Heterogeneous Hardware (H3)
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 (WOCC23).- 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 (WOIV23).- 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 Dresdens 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.