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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 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
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    Chapter 8 Zeno: A Straggler Diagnosis System for Distributed Computing Using Machine Learning
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    Chapter 9 Applicability of the ECM Performance Model to Explicit ODE Methods on Current Multi-core Processors
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    Chapter 10 Machine Learning Based Parallel I/O Predictive Modeling: A Case Study on Lustre File Systems
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    Chapter 11 Performance Optimization and Evaluation of Scalable Optoelectronics Application on Large Scale KNL Cluster
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    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
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    Chapter 14 The Pitfalls of Provisioning Exascale Networks: A Trace Replay Analysis for Understanding Communication Performance
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    Chapter 15 Megafly: A Topology for Exascale Systems
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    Chapter 16 Packetization of Shared-Memory Traces for Message Passing Oriented NoC Simulation
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    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
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Mentioned by

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3 tweeters

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3 Mendeley
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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

Twitter Demographics

The data shown below were collected from the profiles of 3 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 3 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 3 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 1 33%
Other 1 33%
Student > Master 1 33%
Readers by discipline Count As %
Computer Science 2 67%
Engineering 1 33%

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
#9,149,521
of 14,570,779 outputs
Outputs from arXiv
#228,336
of 570,257 outputs
Outputs of similar age
#165,518
of 276,359 outputs
Outputs of similar age from arXiv
#12,347
of 22,969 outputs
Altmetric has tracked 14,570,779 research outputs across all sources so far. This one is in the 24th percentile – i.e., 24% of other outputs scored the same or lower than it.
So far Altmetric has tracked 570,257 research outputs from this source. They receive a mean Attention Score of 3.8. This one has gotten more attention than average, scoring higher than 50% 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 276,359 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 30th percentile – i.e., 30% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 22,969 others from the same source and published within six weeks on either side of this one. This one is in the 34th percentile – i.e., 34% of its contemporaries scored the same or lower than it.