Paul / Boito / Carson | High Performance Computing | Buch | 978-3-032-41534-9 | www.sack.de

Buch, Englisch, 537 Seiten, Format (B × H): 155 mm x 235 mm

Reihe: Lecture Notes in Computer Science

Paul / Boito / Carson

High Performance Computing

ISC High Performance 2026 International Workshops, Hamburg, Germany, June 22–26, 2026, Revised Selected Papers, Part II
Erscheinungsjahr 2026
ISBN: 978-3-032-41534-9
Verlag: Springer

ISC High Performance 2026 International Workshops, Hamburg, Germany, June 22–26, 2026, Revised Selected Papers, Part II

Buch, Englisch, 537 Seiten, Format (B × H): 155 mm x 235 mm

Reihe: Lecture Notes in Computer Science

ISBN: 978-3-032-41534-9
Verlag: Springer


This volume constitutes the revised selected papers presented at the Workshops of the 41st International Conference on High Performance Computing, ISC High Performance 2026, which took place in Hamburg, Germany, during June 2026.The 71 full papers plus 5 state-of-the art research papers included in these proceedings were carefully reviewed and selected from 101 submissions. The papers were organized according to the following workshops:

Part I: 6th Workshop on Compiler-assisted Correctness Checking and Performance Optimization for HPC (C3PO’26); 6th Workshop on Communication, I/O, and Storage at Scale on Next-Generation Platforms- Scalable Infrastructures; Seventh Workshop on Interactive and Urgent High-Performance Computing (WIUHPC); HPC on Heterogeneous Hardware (H3),AI on HPC: Performance Engineering, Challenges and Opportunities, and The Second International Workshop on Foundational Large Language Models Advances for HPC (LLM4HPC).

Part II: International Workshop on RISC-V for HPC at ISC; Second International Workshop on Energy Efficiency with Sustainable Performance: Techniques, Tools, and Best Practices (EESP);10th International Workshop on In Situ Visualization (WOIV’26); 7th ISC HPC International Workshop on “Monitoring, Observability and Operational Data Analytics”’ (MODA26);12th Annual High Performance Containers Workshop (HPCW26) and Workshop Summary and State-of-the-Art Papers.

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.- International Workshop on RISC-V for HPC at ISC

.- Is RISC-V Ready for Machine Learning? Portable Gaussian Processes Using Asynchronous Tasks.
.- Evaluation of BeeGFS on a RISC-V Cluster for HPC Storage Infrastructure.
.- Vector-length agnostic varint decoding on RISC-V.
.- Performance Evaluation of a Vectorized memcpy Implementation on a multi-core RV64 Platform.
.- Is RISC-V Ready for Massively Parallel Astrophysical Codes?.
.- Great Expectations: Benchmarking the Real-World Performance of RVV 1.0 in HPC.
.- Performance Evaluation of Fast Fourier Transforms on Emerging RISC-V Hardware with Vector Extension Support.
.- Exploring spectral element methods on the Tenstorrent RISC-V accelerator.

.- 2nd International Workshop on Energy Efficiency with Sustainable Performance: Techniques, Tools, and Best Practices (EESP)

.- Thermal-Aware Core-Level Scheduling For Kubernetes Workloads.
.- Green500: Adventure in Qualifying a Cluster.
.- Energy-Aware Algorithm Selection in Particle Simulations: A Case Study with AutoPas.
.- CompPow: A Case for Component-level GPU Power Management.
.- Evaluating Power Monitoring Capabilities on The Exascale Supercomputer Aurora.
.- Carbon-Aware VR: Sustainable Performance Through Human-Centric Computing Continuum.
.- A study on improving HPC system efficiency through moldable and mobile job scheduling.
.- Energy Consumption Comparison of Conjugate Gradient Method using Posit Arithmetic and IEEE Floating Point.
.- Coupling Complementary Simulations for Combined Performance and Energy Optimization.
.- Architectural Trade-offs in the Energy-Efficient Era: A Comparative Study of power-capping NVIDIA H100 and H200.
.- SIS: A Sustainability Index for Evaluating Energy-Efficient LLM Inference Across CPU and GPU Deployments.

.- 10th International Workshop on In Situ Visualization (WOIV’26)

.- Enabling Comparative In Situ Benchmarking: A Multi-Backend Architecture for the Gray-Scott Miniapp.
.- Scalable In-Situ Sampling for Online Change Detection and Visualization-Driven Optimization.
.- Energy-Aware In-Situ Visualization on A64FX-Based Supercomputers.|
.- From CPU-Centric to GPU-Resident: Insights into Visualization-based Workflow Optimization for fully GPU-resident Simulation Codes and Unified Memory.
.- Catalyst Companion: Web-Based Monitoring, Steering, and Data Access for InSitu Workflows.
.- Multi-Viewpoint and Multi-ROI-Enabled Video-Based Smart In-Situ Visualization.

.- 7th ISC HPC International Workshop on “Monitoring, Observability, and Operational Data Analytics”’ (MODA26)

.- Centralised Dashboard for Continuous Benchmarking: From HPC Clusters to Quantum Processors.
.- Pre-runtime GPU Power Quantile Forecasting from Submission-Time Job Artifacts.
.- Automatic Workload Characterization on Production HPC Systems via RooflineTelemetry.
.- Enhancing Security in HPC Systems: A Clustering Approach for Filtering Weak Signals.
.- Evaluating Forecasting Techniques for Hardware Errors on a Large-scale HPC System.

.- 12th Annual High Performance Containers Workshop (HPCW26)

.- Evaluating Checkpoint and Restore for Containerized Workloads on Spot Instances.
.- HPC Containers for EBRAINS: Towards Portable Cross-Domain Software Environment.
.- Securing the HPC Container Lifecycle: From Supply Chain to Runtime Detection.
.- Provisioning and Scaling Bare-metal Slurm Clusters via Cluster API and Virtual Kubelets.
.- In-depth Look Into Unprivileged Containerization Solutions for HPC.
.- Containerized Usage of Programming Environments on Supercomputers.
.- MetaHub: A Context-Aware OCI Container Registry for Hardware-Optimised Distribution in HPC and AI Workflows.|
.- Reproducibility and Performance by Containers for Distributed Machine Learning Applications.

.- Workshop Summary and State-of-the-Art Papers

.- 1st Workshop in Sustainable Practices for Reproducibility in HPC (REPROHPC 2026).
.- A2SD-2026: The Verification Bottleneck in Autonomous Science.
.- 3rd International Workshop on Readiness of HPC Extreme-scaling Applications.
.- Benchmarks in Supercomputing: What Is Working, What Is Not, and Why?.
.- Digital Twins for Science & Industry: From Data Scientist to Data Center.



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