{"product_id":"high-performance-computing-9783032076113","title":"High Performance Computing","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003e\u003cp\u003e.- 6th ISC HPC International Workshop on Monitoring \\\u0026amp; Operational Data Analytics (MODA25).\u003cbr\u003e.- Duration-Informed Workload Scheduler.\u003cbr\u003e.- Monitoring Energy Consumption of Workloads on HPC Vega.\u003cbr\u003e.- A Unified I\/O Monitoring Framework Using eBPF.\u003cbr\u003e.- Supporting HPC Users with LLview.\u003cbr\u003e.- What Time Taught Us: Monitoring a Computing Technology Testbed Across Multiple Years.\u003cbr\u003e.- 9th International Workshop on In Situ Visualization (WOIV’25).\u003cbr\u003e.- Enabling Modular In-situ Workflows through CatalystMaestro and CatalystComposer.\u003cbr\u003e.- Updating Inshimtu with Catalyst2 and Integrating an HPC MiniApp: Lessons Learned.\u003cbr\u003e.- Issues and challenges of deploying in-situ visualization for SPH codes.\u003cbr\u003e.- 5th International Workshop on Computational Aspects of Deep Learning (CADL).\u003cbr\u003e.- Direct Feedback Alignment for Recurrent Neural Networks.\u003cbr\u003e.- Assessing Tenstorrent's RISC-V MatMul Acceleration Capabilities.\u003cbr\u003e.- Automatically parallelizing batch inference on deep neural networks using Fiats and Fortran 2023 \"do concurrent\".\u003cbr\u003e.- Optimizing edge AI models on HPC systems with the edge in the loop.\u003cbr\u003e.- Evaluation of Distributed Asynchronous Checkpointing in High-Performance Computing.\u003cbr\u003e.- Energy Efficiency with Sustainable Performance: Techniques, Tools, and Best Practices (EESP).\u003cbr\u003e.- Characterizing GPU Energy Usage in Exascale-Ready Portable Science Applications.\u003cbr\u003e.- What A Waste.\u003cbr\u003e.- Pinpointing Idle-Power Regressions in Linux.\u003cbr\u003e.- DARE-ML: Democratized Accessible Resource Environment for Machine Learning in the SUPERCOM platform.\u003cbr\u003e.- Power-Capping Metric Evaluation for Improving Energy Efficiency.\u003cbr\u003e.- Experience on clock rate adjustment for energy-efficient GPU-accelerated real-world codes.\u003cbr\u003e.- Running Energy-Efficient HPL on APUs: Strategies and Best Practices.\u003cbr\u003e.- Analysis of Application Power Characteristics Using Performance Counters on A64FX.\u003cbr\u003e.- Fifth workshop on Compiler-assisted Correctness Checking and Performance Optimization for HPC (C3PO'25).\u003cbr\u003e.- CGPatch: Streamlining Static Call Graph Validation Using Selective Instrumentation.\u003cbr\u003e.- Speculative Recursion Unrolling.\u003cbr\u003e.- From C to Rust: Evaluating LLM Capabilities in Transpilation through Compilation Errors.\u003cbr\u003e.- CompilerGPT: Leveraging Large Language Models for Analyzing and Acting on Compiler Optimization Reports.\u003cbr\u003e.- Improving compiler support for SIMD offload using Arm Streaming SVE.\u003cbr\u003e.- Fifth Workshop on Interactive and Urgent HPC (WIUHPC).\u003cbr\u003e.- Dynamic Resource Management Framework for Elastic Computing.\u003cbr\u003e.- Enabling Seamless Transitions from Experimental to Production HPC for Interactive Workflows.\u003cbr\u003e.- A novel approach to dynamic computing using Slurm.\u003cbr\u003e.- Fifth workshop on Communication, I\/O, and Storage at Scale on Next-Generation Platforms – Scalable Infrastructures (ixpug-comm-io-storage).\u003cbr\u003e.- Combining Malleability and Distributed Control Mechanisms to Reduce I\/O Contention.\u003cbr\u003e.- DOCA UROM: A Vehicle for Offloading HPC and AI to DPUs.\u003cbr\u003e.- Accelerating I\/O in Scientific Workflows with the Impact of Apache Ignite’s In-Memory File System.\u003cbr\u003e.- HPC on Heterogeneous Hardware (H3).\u003cbr\u003e.- Generation of Mixed-precision Kernels for Quantized Transformer Encoders with Exo.\u003cbr\u003e.- Training an Image Classification Model on a Supercomputer with AMD Genoa Compute Nodes.\u003cbr\u003e.- Exploring QUBO on LPUs for Engineering.\u003cbr\u003e.- Investigating Matrix Repartitioning to Address the Over- and Undersubscription Challenge for a GPU-based CFD Solver.\u003cbr\u003e.- Stream-K++: Adaptive GPU GEMM Kernel Selection and Scheduling for AI using Bloom Filters.\u003cbr\u003e.- Accelerating Electrostatics Simulations with GPUs.\u003cbr\u003e.- International workshop on RISC-V for HPC at ISC.\u003cbr\u003e.- Streamlining Fedora Linux Distributions for RISC-V: A Scalable and Automated Approach.\u003cbr\u003e.- Evaluating RISC-V processor as an alternative for High Performance Computing.\u003cbr\u003e.- Evaluation of RVV-enabled COTS Platforms with Matrix Multiplication and EXO.\u003cbr\u003e.- Advancing the RISC-V Performance Simulation Ecosystem with Data Prefetching.\u003cbr\u003e.- RISC-V in HPC: a look into tools for performance monitoring.\u003cbr\u003e.- Monte Cimone v2: HPC RISC-V Cluster Evaluation and Optimization.\u003cbr\u003e.- Parallel FFTW on RISC-V: A Comparative Study including OpenMP, MPI, and HPX.\u003cbr\u003e.- Exploring Fast Fourier Transforms on the Tenstorrent Wormhole.\u003cbr\u003e.- The First International Workshop on Foundational Large Language Models Advances for HPC (LLM4HPC).\u003cbr\u003e.- Leveraging AI for Productive and Trustworthy HPC Software: Challenges and Research Directions.\u003cbr\u003e.- LLM \u0026amp; HPC:Benchmarking DeepSeek's Performance in High-Performance Computing Tasks.\u003cbr\u003e.- Analysis of MPI Parallel Code Generated by GPT-4o.\u003cbr\u003e.- Workshop Review Contributions.\u003cbr\u003e.- QRUCH : Quantum Resources for Unified Computing Hub.\u003cbr\u003e.- High Performance Container Workshop 2025.\u003cbr\u003e.- A2SD: Advancing Autonomous Scientific Discovery Workshop.\u003cbr\u003e.- The Future of Benchmarks in Supercomputing.\u003cbr\u003e.- Research Software Engineering in High-Performance Computing - Tools and Techniques for Continuous Integration and Benchmarking.\u003c\/p\u003e","brand":"Springer","offers":[{"title":"Default Title","offer_id":53195532665175,"sku":"9783032076113","price":64.99,"currency_code":"GBP","in_stock":true}],"url":"https:\/\/bookcurl.com\/products\/high-performance-computing-9783032076113","provider":"Book Curl","version":"1.0","type":"link"}