High Performance Computing

Table of Contents

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   Book Overview
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   Chapter 1 Asynchronous Iterative Algorithm for Computing Incomplete Factorizations on GPUs
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   Chapter 2 Matrix Multiplication on High-Density Multi-GPU Architectures: Theoretical and Experimental Investigations
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   Chapter 3 A Framework for Batched and GPU-Resident Factorization Algorithms Applied to Block Householder Transformations
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   Chapter 4 Parallel Efficient Sparse Matrix-Matrix Multiplication on Multicore Platforms
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   Chapter 5 On the Design, Development, and Analysis of Optimized Matrix-Vector Multiplication Routines for Coprocessors
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   Chapter 6 Large-Scale Neo-Heterogeneous Programming and Optimization of SNP Detection on Tianhe-2
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   Chapter 7 ACCOLADES: A Scalable Workflow Framework for Large-Scale Simulation and Analyses of Automotive Engines
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   Chapter 8 Accelerating LBM and LQCD Application Kernels by In-Memory Processing
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    Chapter 9 On Quantum Chemistry Code Adaptation for RSC PetaStream Architecture
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    Chapter 10 Dtree: Dynamic Task Scheduling at Petascale
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    Chapter 11 Feasibility Study of Porting a Particle Transport Code to FPGA
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    Chapter 12 High Performance Computing
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    Chapter 13 BWTCP: A Parallel Method for Constructing BWT in Large Collection of Genomic Reads
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    Chapter 14 Lattice-CSC: Optimizing and Building an Efficient Supercomputer for Lattice-QCD and to Achieve First Place in Green500
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    Chapter 15 An Efficient Clique-Based Algorithm of Compute Nodes Allocation for In-memory Checkpoint System
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    Chapter 16 A Scalable Algorithm for Radiative Heat Transfer Using Reverse Monte Carlo Ray Tracing
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    Chapter 17 Optimizing Processes Mapping for Tasks with Non-uniform Data Exchange Run on Cluster with Different Interconnects
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    Chapter 18 Dynamically Adaptable I/O Semantics for High Performance Computing
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    Chapter 19 Predicting Performance of Non-contiguous I/O with Machine Learning
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    Chapter 20 A Best Practice Analysis of HDF $$5$$ 5 and NetCDF- $$4$$ 4 Using Lustre
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    Chapter 21 Striping Layout Aware Data Aggregation for High Performance I/O on a Lustre File System
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    Chapter 22 Hop: Elastic Consistency for Exascale Data Stores
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    Chapter 23 Energy-Efficient Data Processing Through Data Sparsing with Artifacts
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    Chapter 24 Updating the Energy Model for Future Exascale Systems
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    Chapter 25 High-Order ADER-DG Minimizes Energy- and Time-to-Solution of SeisSol
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    Chapter 26 Modeling the Productivity of HPC Systems on a Computing Center Scale
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    Chapter 27 Taking Advantage of Node Power Variation in Homogenous HPC Systems to Save Energy
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    Chapter 28 A Run-Time System for Power-Constrained HPC Applications
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    Chapter 29 A Machine Learning Approach for a Scalable, Energy-Efficient Utility-Based Cache Partitioning
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    Chapter 30 A Case Study - Cost of Preemption for Urgent Computing on SuperMUC
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    Chapter 31 Designing Non-blocking Personalized Collectives with Near Perfect Overlap for RDMA-Enabled Clusters
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    Chapter 32 Design Methodology for Optimizing Optical Interconnection Networks in High Performance Systems
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    Chapter 33 Quantifying Communication in Graph Analytics
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    Chapter 34 Formal Metrics for Large-Scale Parallel Performance
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    Chapter 35 Hunting Down Load Imbalance: A Moving Target
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    Chapter 36 Orchestrating Docker Containers in the HPC Environment
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    Chapter 37 Performance and Scaling of WRF on Three Different Parallel Supercomputers