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High Performance Computing

Overview of attention for book
Cover of 'High Performance Computing'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Behavioral Emulation for Scalable Design-Space Exploration of Algorithms and Architectures
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    Chapter 2 Closing the Performance Gap with Modern C++
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    Chapter 3 Energy Efficient Runtime Framework for Exascale Systems
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    Chapter 4 Extreme-Scale In Situ Visualization of Turbulent Flows on IBM Blue Gene/Q JUQUEEN
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    Chapter 5 The EPiGRAM Project: Preparing Parallel Programming Models for Exascale
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    Chapter 6 Work Distribution of Data-Parallel Applications on Heterogeneous Systems
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    Chapter 7 Reducing Manipulation Overhead of Remote Data-Structure by Controlling Remote Memory Access Order
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    Chapter 8 SONAR: Automated Communication Characterization for HPC Applications
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    Chapter 9 An Overview of the Sirocco Parallel Storage System
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    Chapter 10 Analyzing Data Properties Using Statistical Sampling Techniques – Illustrated on Scientific File Formats and Compression Features
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    Chapter 11 Delta: Data Reduction for Integrated Application Workflows and Data Storage
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    Chapter 12 Investigating Read Performance of Python and NetCDF When Using HPC Parallel Filesystems
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    Chapter 13 Early Application Performance at the Hartree Centre with the OpenPOWER Architecture
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    Chapter 14 Early Experiences Porting the NAMD and VMD Molecular Simulation and Analysis Software to GPU-Accelerated OpenPOWER Platforms
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    Chapter 15 Exploring Energy Efficiency for GPU-Accelerated POWER Servers
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    Chapter 16 First Experiences with ab initio Molecular Dynamics on OpenPOWER: The Case of CPMD
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    Chapter 17 High Performance Computing on the IBM Power8 Platform
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    Chapter 18 Measuring and Managing Energy in OpenPOWER
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    Chapter 19 Performance Analysis of Spark/GraphX on POWER8 Cluster
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    Chapter 20 Performance of the 3D Combustion Simulation Code RECOM®-AIOLOS on IBM® POWER8® Architecture
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    Chapter 21 Performance-Portable Many-Core Plasma Simulations: Porting PIConGPU to OpenPower and Beyond
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    Chapter 22 A Comparative Study of Application Performance and Scalability on the Intel Knights Landing Processor
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    Chapter 23 Application Suitability Assessment for Many-Core Targets
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    Chapter 24 Applying the Roofline Performance Model to the Intel Xeon Phi Knights Landing Processor
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    Chapter 25 Dynamic SIMD Vector Lane Scheduling
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    Chapter 26 High Performance Optimizations for Nuclear Physics Code MFDn on KNL
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    Chapter 27 Optimization of the Sparse Matrix-Vector Products of an IDR Krylov Iterative Solver in EMGeo for the Intel KNL Manycore Processor
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    Chapter 28 Optimizing a Multiple Right-Hand Side Dslash Kernel for Intel Knights Corner
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    Chapter 29 Optimizing Excited-State Electronic-Structure Codes for Intel Knights Landing: A Case Study on the BerkeleyGW Software
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    Chapter 30 Optimizing Wilson-Dirac Operator and Linear Solvers for Intel® KNL
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    Chapter 31 A C++ Programming Model for Heterogeneous System Architecture
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    Chapter 32 Battling Memory Requirements of Array Programming Through Streaming
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    Chapter 33 From Describing to Prescribing Parallelism: Translating the SPEC ACCEL OpenACC Suite to OpenMP Target Directives
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    Chapter 34 GPU-STREAM v2.0: Benchmarking the Achievable Memory Bandwidth of Many-Core Processors Across Diverse Parallel Programming Models
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    Chapter 35 Porting the MPI Parallelized LES Model PALM to Multi-GPU Systems – An Experience Report
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    Chapter 36 Software Cost Analysis of GPU-Accelerated Aeroacoustics Simulations in C++ with OpenACC
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    Chapter 37 Task-Based Cholesky Decomposition on Knights Corner Using OpenMP
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    Chapter 38 Using C++ AMP to Accelerate HPC Applications on Multiple Platforms
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    Chapter 39 Analysis of Memory Performance: Mixed Rank Performance Across Microarchitectures
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    Chapter 40 Considering I/O Processing in CloudSim for Performance and Energy Evaluation
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    Chapter 41 Early Evaluation of the “Infinite Memory Engine” Burst Buffer Solution
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    Chapter 42 Motivation and Implementation of a Dynamic Remote Storage System for I/O Demanding HPC Applications
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    Chapter 43 Parallel I/O Architecture Modelling Based on File System Counters
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    Chapter 44 User-Space I/O for \(\mu \)s-level Storage Devices
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    Chapter 45 Scaling Spark on Lustre
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    Chapter 46 Accelerating Application Migration in HPC
  48. Altmetric Badge
    Chapter 47 Migrating LinuX Containers Using CRIU
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    Chapter 48 Providing Security in Container-Based HPC Runtime Environments
Overall attention for this book and its chapters
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (86th percentile)
  • High Attention Score compared to outputs of the same age and source (94th percentile)

Mentioned by

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18 X users
googleplus
1 Google+ user

Citations

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4 Dimensions

Readers on

mendeley
31 Mendeley
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Title
High Performance Computing
Published by
Lecture notes in computer science, October 2016
DOI 10.1007/978-3-319-46079-6
ISBNs
978-3-31-946079-6, 978-3-31-946078-9
Editors

Michela Taufer, Bernd Mohr, Julian M. Kunkel

X Demographics

X Demographics

The data shown below were collected from the profiles of 18 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 31 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 31 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 8 26%
Student > Master 3 10%
Researcher 3 10%
Student > Postgraduate 2 6%
Student > Doctoral Student 2 6%
Other 2 6%
Unknown 11 35%
Readers by discipline Count As %
Computer Science 10 32%
Engineering 2 6%
Biochemistry, Genetics and Molecular Biology 1 3%
Chemical Engineering 1 3%
Social Sciences 1 3%
Other 3 10%
Unknown 13 42%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 13. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 12 July 2022.
All research outputs
#2,701,218
of 25,353,525 outputs
Outputs from Lecture notes in computer science
#511
of 8,151 outputs
Outputs of similar age
#44,246
of 327,288 outputs
Outputs of similar age from Lecture notes in computer science
#33
of 540 outputs
Altmetric has tracked 25,353,525 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,151 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.2. This one has done particularly well, scoring higher than 93% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 327,288 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 86% of its contemporaries.
We're also able to compare this research output to 540 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 94% of its contemporaries.