{"product_id":"9783032076113","title":"High Performance Computing : ISC High Performance 2025 International Workshops, Hamburg, Germany, June 10-13, 2025, Revised Selected Papers (Lecture Notes in Computer Science)","description":"\u003cp\u003eThis volume constitutes the revised selected papers of 40th International Conference on High Performance Computing, ISC High Performance 2025, Hamburg, Germany, during June 10-13, 2025.\u003c\/p\u003e \u003cp\u003e.- 6th ISC HPC International Workshop on Monitoring \u0026amp; Operational Data Analytics (MODA25).\n.- Duration-Informed Workload Scheduler.\n.- Monitoring Energy Consumption of Workloads on HPC Vega.\n.- A Unified I\/O Monitoring Framework Using eBPF.\n.- Supporting HPC Users with LLview.\n.- What Time Taught Us: Monitoring a Computing Technology Testbed Across Multiple Years.\n.- 9th International Workshop on In Situ Visualization (WOIV 25).\n.- Enabling Modular In-situ Workflows through CatalystMaestro and CatalystComposer.\n.- Updating Inshimtu with Catalyst2 and Integrating an HPC MiniApp: Lessons Learned.\n.- Issues and challenges of deploying in-situ visualization for SPH codes.\n.- 5th International Workshop on Computational Aspects of Deep Learning (CADL).\n.- Direct Feedback Alignment for Recurrent Neural Networks.\n.- Assessing Tenstorrent's RISC-V MatMul Acceleration Capabilities.\n.- Automatically parallelizing batch inference on deep neural networks using Fiats and Fortran 2023 \"do concurrent\".\n.- Optimizing edge AI models on HPC systems with the edge in the loop.\n.- Evaluation of Distributed Asynchronous Checkpointing in High-Performance Computing.\n.- Energy Efficiency with Sustainable Performance: Techniques, Tools, and Best Practices (EESP).\n.- Characterizing GPU Energy Usage in Exascale-Ready Portable Science Applications.\n.- What A Waste.\n.- Pinpointing Idle-Power Regressions in Linux.\n.- DARE-ML: Democratized Accessible Resource Environment for Machine Learning in the SUPERCOM platform.\n.- Power-Capping Metric Evaluation for Improving Energy Efficiency.\n.- Experience on clock rate adjustment for energy-efficient GPU-accelerated real-world codes.\n.- Running Energy-Efficient HPL on APUs: Strategies and Best Practices.\n.- Analysis of Application Power Characteristics Using Performance Counters on A64FX.\n.- Fifth workshop on Compiler-assisted Correctness Checking and Performance Optimization for HPC (C3PO'25).\n.- CGPatch: Streamlining Static Call Graph Validation Using Selective Instrumentation.\n.- Speculative Recursion Unrolling.\n.- From C to Rust: Evaluating LLM Capabilities in Transpilation through Compilation Errors.\n.- CompilerGPT: Leveraging Large Language Models for Analyzing and Acting on Compiler Optimization Reports.\n.- Improving compiler support for SIMD offload using Arm Streaming SVE.\n.- Fifth Workshop on Interactive and Urgent HPC (WIUHPC).\n.- Dynamic Resource Management Framework for Elastic Computing.\n.- Enabling Seamless Transitions from Experimental to Production HPC for Interactive Workflows.\n.- A novel approach to dynamic computing using Slurm.\n.- Fifth workshop on Communication, I\/O, and Storage at Scale on Next-Generation Platforms Scalable Infrastructures (ixpug-comm-io-storage).\n.- Combining Malleability and Distributed Control Mechanisms to Reduce I\/O Contention.\n.- DOCA UROM: A Vehicle for Offloading HPC and AI to DPUs.\n.- Accelerating I\/O in Scientific Workflows with the Impact of Apache Ignite s In-Memory File System.\n.- HPC on Heterogeneous Hardware (H3).\n.- Generation of Mixed-precision Kernels for Quantized Transformer Encoders with Exo.\n.- Training an Image Classification Model on a Supercomputer with AMD Genoa Compute Nodes.\n.- Exploring QUBO on LPUs for Engineering.\n.- Investigating Matrix Repartitioning to Address the Over- and Undersubscription Challenge for a GPU-based CFD Solver.\n.- Stream-K++: Adaptive GPU GEMM Kernel Selection and Scheduling for AI using Bloom Filters.\n.- Accelerating Electrostatics Simulations with GPUs.\n.- International workshop on RISC-V for HPC at ISC.\n.- Streamlining Fedora Linux Distributions for RISC-V: A Scalable and Automated Approach.\n.- Evaluating RISC-V processor as an alternative for High Performance Computing.\n.- Evaluation of RVV-enabled COTS Platforms with Matrix Multiplication and EXO.\u003c\/p\u003e","brand":"Springer Nature Switzerland AG","offers":[{"title":"Default Title","offer_id":52442451181879,"sku":"00000_00000_00000_00000","price":433.38,"currency_code":"MYR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0962\/3548\/7543\/files\/9783032076113-1.jpg?v=1783263583","url":"https:\/\/kinokuniya.com.my\/products\/9783032076113","provider":"Books Kinokuniya Malaysia","version":"1.0","type":"link"}