{"product_id":"high-performance-computing-9783031800832","title":"High Performance Computing","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003e\u003cp\u003e\u003cbr\u003e\u003cstrong\u003e.- High Performance Computing Track.\u003c\/strong\u003e\u003cbr\u003e.- Impact of job scheduling policy changes on user behaviour and system response: The case of the Santos Dumont supercomputer in Brazil.\u003cbr\u003e.- A Study of Performance Portability in Plasma Physics Simulations.\u003cbr\u003e.- High performance computing for auto supervised machine learning training: parallel-distributed implementation of the Word2Vec algorithm for training word embeddings.\u003cbr\u003e.- A Comprehensive Analysis of Process Energy Consumption on Multi-Socket Systems with GPUs.\u003cbr\u003e.- Enhancing Reverse Time Migration Simulations in HPC Systems through I\/O and Computation Overlapping.\u003cbr\u003e.- Evaluation of Computational and Power Performance in Matrix Multiplication Libraries - MKL Vs cuBLAS.\u003cbr\u003e.- A User-centric Evaluation Methodology for Informed Provisioning of High Performance Computing Resources in Academic Institutions.\u003cbr\u003e.- EfiMon: A Process Analyser for Granular Power Consumption Prediction.\u003cbr\u003e.- Leveraging CPU-FPGA Co-design for Matrix Profile Computation.\u003cbr\u003e\u003cstrong\u003e.- Artificial Intelligence at HPC Scale Track.\u003c\/strong\u003e\u003cbr\u003e.- Web system for recognizing actions of physical violence in urban spaces using CNN with Transfer Learning.\u003cbr\u003e.- Quantized SG-MCMC for Bayesian Deep Posterior Compression.\u003cbr\u003e.- No Plankton Left Behind: Preliminary results on massive plankton image recognition.\u003cbr\u003e.- Machine Learning Regression-based Prediction for Improving Performance and Energy Consumption in HPC platforms.\u003cbr\u003e.- A new computational framework for crop yield estimation and phenological monitoring.\u003cbr\u003e.- Histopathology Image Augmentation through StyleGAN2-ADA.\u003cbr\u003e\u003cstrong\u003e.- High Performance Computing Applications Track.\u003c\/strong\u003e\u003cbr\u003e.- Strategies to Reduce Memory Consumption in Software Quantum Computing Simulators.\u003cbr\u003e.- Adaptive Edge-Based AIoT Architecture for Efficient Retraining and Sustainable Monitoring of Ephemeral Streams.\u003cbr\u003e.- Multi-GPU Tomographic Reconstructions of Large Volumes in the Frequency Domain.\u003cbr\u003e.- Accelerating tomographic artifact removal using a multi-GPU system.\u003cbr\u003e.- A parallel multi-threading global energy balance for a room thermal analysis in an unsteady state.\u003cbr\u003e.- Parallel Computing Strategies in WRF: The Role of MPI, OpenMP, \u0026amp; NUMA Affinity.\u003c\/p\u003e","brand":"Springer","offers":[{"title":"Default Title","offer_id":51043594404183,"sku":"9783031800832","price":64.99,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9783031800832.jpg?v=1750958802","url":"https:\/\/bookcurl.com\/products\/high-performance-computing-9783031800832","provider":"Book Curl","version":"1.0","type":"link"}