↓ Skip to main content
What is this page? Embed badge

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 Heterogeneity-Aware Resource Allocation in HPC Systems
  3. Altmetric Badge
    Chapter 2 On the Accuracy and Usefulness of Analytic Energy Models for Contemporary Multicore Processors
  4. Altmetric Badge
    Chapter 3 Bayesian Optimization of HPC Systems for Energy Efficiency
  5. Altmetric Badge
    Chapter 4 DTF: An I/O Arbitration Framework for Multi-component Data Processing Workflows
  6. Altmetric Badge
    Chapter 5 Classifying Jobs and Predicting Applications in HPC Systems
  7. Altmetric Badge
    Chapter 6 A Survey of Programming Tools for D-Wave Quantum-Annealing Processors
  8. Altmetric Badge
    Chapter 7 Compiler-Assisted Source-to-Source Skeletonization of Application Models for System Simulation
  9. Altmetric Badge
    Chapter 8 Zeno: A Straggler Diagnosis System for Distributed Computing Using Machine Learning
  10. Altmetric Badge
    Chapter 9 Applicability of the ECM Performance Model to Explicit ODE Methods on Current Multi-core Processors
  11. Altmetric Badge
    Chapter 10 Machine Learning Based Parallel I/O Predictive Modeling: A Case Study on Lustre File Systems
  12. Altmetric Badge
    Chapter 11 Performance Optimization and Evaluation of Scalable Optoelectronics Application on Large Scale KNL Cluster
  13. Altmetric Badge
    Chapter 12 A Novel Multi-level Integrated Roofline Model Approach for Performance Characterization
  14. Altmetric Badge
    Chapter 13 Hardware Performance Variation: A Comparative Study Using Lightweight Kernels
  15. Altmetric Badge
    Chapter 14 The Pitfalls of Provisioning Exascale Networks: A Trace Replay Analysis for Understanding Communication Performance
  16. Altmetric Badge
    Chapter 15 Megafly: A Topology for Exascale Systems
  17. Altmetric Badge
    Chapter 16 Packetization of Shared-Memory Traces for Message Passing Oriented NoC Simulation
  18. Altmetric Badge
    Chapter 17 Chebyshev Filter Diagonalization on Modern Manycore Processors and GPGPUs
  19. Altmetric Badge
    Chapter 18 Combining HTM with RCU to Speed Up Graph Coloring on Multicore Platforms
  20. Altmetric Badge
    Chapter 19 Distributed Deep Reinforcement Learning: Learn How to Play Atari Games in 21 minutes
  21. Altmetric Badge
    Chapter 20 TaskGenX: A Hardware-Software Proposal for Accelerating Task Parallelism
Attention for Chapter 2: On the Accuracy and Usefulness of Analytic Energy Models for Contemporary Multicore Processors
Altmetric Badge

Mentioned by

twitter
2 X users

Readers on

mendeley
4 Mendeley
Summary X
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
On the Accuracy and Usefulness of Analytic Energy Models for Contemporary Multicore Processors
Chapter number 2
Book title
High Performance Computing
Published in
arXiv, June 2018
DOI 10.1007/978-3-319-92040-5_2
Book ISBNs
978-3-31-992039-9, 978-3-31-992040-5
Authors

Johannes Hofmann, Georg Hager, Dietmar Fey

View on publisher site
X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 4 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 4 100%

Demographic breakdown

Readers by professional status Count As %
Other 1 25%
Student > Master 1 25%
Unknown 2 50%
Readers by discipline Count As %
Computer Science 1 25%
Engineering 1 25%
Unknown 2 50%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 31 March 2019.
All research outputs
#18,833,474
of 24,002,307 outputs
Outputs from arXiv
#482,126
of 1,011,770 outputs
Outputs of similar age
#242,616
of 331,733 outputs
Outputs of similar age from arXiv
#16,479
of 24,327 outputs
Altmetric has tracked 24,002,307 research outputs across all sources so far. This one is in the 18th percentile – i.e., 18% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,011,770 research outputs from this source. They receive a mean Attention Score of 4.0. This one is in the 41st percentile – i.e., 41% of its peers scored the same or lower than it.
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 331,733 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 22nd percentile – i.e., 22% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 24,327 others from the same source and published within six weeks on either side of this one. This one is in the 19th percentile – i.e., 19% of its contemporaries scored the same or lower than it.

This page is provided by Altmetric.