↓ Skip to main content

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 Parallel and Distributed Processing for Unsupervised Patient Phenotype Representation
  3. Altmetric Badge
    Chapter 2 Evolutionary Algorithms for Convolutional Neural Network Visualisation
  4. Altmetric Badge
    Chapter 3 Breast Cancer Classification: A Deep Learning Approach for Digital Pathology
  5. Altmetric Badge
    Chapter 4 Where Do HPC and Cognitive Science Meet in Latin America?
  6. Altmetric Badge
    Chapter 5 A Hybrid Reinforcement Learning and Cellular Automata Model for Crowd Simulation on the GPU
  7. Altmetric Badge
    Chapter 6 In-situ Visualization of the Propagation of the Electric Potential in a Human Atrial Model Using GPU
  8. Altmetric Badge
    Chapter 7 GPU Acceleration for Directional Variance Based Intra-prediction in HEVC
  9. Altmetric Badge
    Chapter 8 Fast Marching Method in Seismic Ray Tracing on Parallel GPU Devices
  10. Altmetric Badge
    Chapter 9 Improving Performance and Energy Efficiency of Geophysics Applications on GPU Architectures
  11. Altmetric Badge
    Chapter 10 FleCSPHg: A GPU Accelerated Framework for Physics and Astrophysics Simulations
  12. Altmetric Badge
    Chapter 11 Comparison of Tree Based Strategies for Parallel Simulation of Self-gravity in Agglomerates
  13. Altmetric Badge
    Chapter 12 Parallel Implementations of Self-gravity Calculation for Small Astronomical Bodies on Xeon Phi
  14. Altmetric Badge
    Chapter 13 Visualization of a Jet in Turbulent Crossflow
  15. Altmetric Badge
    Chapter 14 Acceleration of Hydrology Simulations Using DHSVM for Multi-thousand Runs and Uncertainty Assessment
  16. Altmetric Badge
    Chapter 15 Fine-Tuning an OpenMP-Based TVD–Hopmoc Method Using Intel ® Parallel Studio XE Tools on Intel ® Xeon ® Architectures
  17. Altmetric Badge
    Chapter 16 Performance Evaluation of Stencil Computations Based on Source-to-Source Transformations
  18. Altmetric Badge
    Chapter 17 Benchmarking LAMMPS: Sensitivity to Task Location Under CPU-Based Weak-Scaling
  19. Altmetric Badge
    Chapter 18 Analyzing Communication Features and Community Structure of HPC Applications
  20. Altmetric Badge
    Chapter 19 Power Efficiency Analysis of a Deep Learning Workload on an IBM “Minsky” Platform
  21. Altmetric Badge
    Chapter 20 Orlando Tools: Development, Training, and Use of Scalable Applications in Heterogeneous Distributed Computing Environments
  22. Altmetric Badge
    Chapter 21 Methodology for Tailored Linux Distributions Development for HPC Embedded Systems
  23. Altmetric Badge
    Chapter 22 Cost and QoS Optimization of Cloud-Based Content Distribution Networks Using Evolutionary Algorithms
  24. Altmetric Badge
    Chapter 23 Bi-objective Analysis of an Adaptive Secure Data Storage in a Multi-cloud
  25. Altmetric Badge
    Chapter 24 Fault Characterization and Mitigation Strategies in Desktop Cloud Systems
Attention for Chapter 1: Parallel and Distributed Processing for Unsupervised Patient Phenotype Representation
Altmetric Badge

Readers on

7 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Chapter title
Parallel and Distributed Processing for Unsupervised Patient Phenotype Representation
Chapter number 1
Book title
High Performance Computing
Published by
Springer, Cham, September 2018
DOI 10.1007/978-3-030-16205-4_1
Book ISBNs
978-3-03-016204-7, 978-3-03-016205-4

John Anderson García Heano, Frédéric Precioso, Pascal Staccini, Michel Riveill

Mendeley readers

The data shown below were compiled from readership statistics for 7 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 7 100%

Demographic breakdown

Readers by professional status Count As %
Other 1 14%
Student > Ph. D. Student 1 14%
Student > Master 1 14%
Researcher 1 14%
Student > Postgraduate 1 14%
Other 0 0%
Unknown 2 29%
Readers by discipline Count As %
Computer Science 3 43%
Physics and Astronomy 1 14%
Unknown 3 43%