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Imperial Library
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Index
Cover Front Matter On the Use of Kernel Bypass Mechanisms for High-Performance Inter-container Communications Continuous-Action Reinforcement Learning for Memory Allocation in Virtualized Servers Container Orchestration on HPC Clusters Data Pallets: Containerizing Storage for Reproducibility and Traceability Sarus: Highly Scalable Docker Containers for HPC Systems Singularity GPU Containers Execution on HPC Cluster A Multitenant Container Platform with OKD, Harbor Registry and ELK Enabling GPU-Enhanced Computer Vision and Machine Learning Research Using Containers Software and Hardware Co-design for Low-Power HPC Platforms Modernizing Titan2D, a Parallel AMR Geophysical Flow Code to Support Multiple Rheologies and Extendability Asynchronous AMR on Multi-GPUs Batch Solution of Small PDEs with the OPS DSL Scalable Parallelization of Stencils Using MODA Comparing High Performance Computing Accelerator Programming Models Tracking User-Perceived I/O Slowdown via Probing A Quantitative Approach to Architecting All-Flash Lustre File Systems MBWU: Benefit Quantification for Data Access Function Offloading Footprinting Parallel I/O – Machine Learning to Classify Application’s I/O Behavior Adventures in NoSQL for Metadata Management Towards High Performance Data Analytics for Climate Change An Architecture for High Performance Computing and Data Systems Using Byte-Addressable Persistent Memory Mediating Data Center Storage Diversity in HPC Applications with FAODEL Predicting File Lifetimes with Machine Learning An I/O Analysis of HPC Workloads on CephFS and Lustre Enabling Fast and Highly Effective FPGA Design Process Using the CAPI SNAP Framework Scaling the Summit: Deploying the World’s Fastest Supercomputer Parallelware Tools: An Experimental Evaluation on POWER Systems Performance Evaluation of MPI Libraries on GPU-Enabled OpenPOWER Architectures: Early Experiences Exploring the Behavior of Coherent Accelerator Processor Interface (CAPI) on IBM Power8+ Architecture and FlashSystem 900 Porting Adaptive Ensemble Molecular Dynamics Workflows to the Summit Supercomputer Performance Comparison for Neuroscience Application Benchmarks Evaluating POWER Architecture for Distributed Training of Generative Adversarial Networks A Study on the Performance of Reproducible Computations Three Numerical Reproducibility Issues That Can Be Explained as Round-Off Error Training Multiscale-CNN for Large Microscopy Image Classification in One Hour Benchmarking Deep Learning Infrastructures by Means of TensorFlow and Containers MagmaDNN: Towards High-Performance Data Analytics and Machine Learning for Data-Driven Scientific Computing Open OnDemand: HPC for Everyone Highly Interactive, Steered Scientific Workflows on HPC Systems: Optimizing Design Solutions The Role of Interactive Super-Computing in Using HPC for Urgent Decision Making Deep Learning at Scale for Subgrid Modeling in Turbulent Flows: Regression and Reconstruction Using FPGAs to Accelerate HPC and Data Analytics on Intel-Based Systems Exploring the Acceleration of the Met Office NERC Cloud Model Using FPGAs Acceleration of Scientific Deep Learning Models on Heterogeneous Computing Platform with Intel® FPGAs In-Situ Data Reduction via Incoherent Sensing In-Situ Processing in Climate Science Distributed Out-of-Core Approach for In-Situ Volume Rendering of Massive Dataset Leveraging NVIDIA Omniverse for In Situ Visualization Hands-On Research and Training in High Performance Data Sciences, Data Analytics, and Machine Learning for Emerging Environments Correction to: High Performance Computing Back Matter
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