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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 An Analytical Model-Based Auto-tuning Framework for Locality-Aware Loop Scheduling
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    Chapter 2 Performance, Design, and Autotuning of Batched GEMM for GPUs
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    Chapter 3 TCU: A Multi-Objective Hardware Thread Mapping Unit for HPC Clusters
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    Chapter 4 Dynamic Sparse-Matrix Allocation on GPUs
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    Chapter 5 An Efficient Parallel Load-Balancing Framework for Orthogonal Decomposition of Geometrical Data
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    Chapter 6 Parallel Community Detection Algorithm Using a Data Partitioning Strategy with Pairwise Subdomain Duplication
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    Chapter 7 TiDA: High-Level Programming Abstractions for Data Locality Management
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    Chapter 8 OpenAtom: Scalable Ab-Initio Molecular Dynamics with Diverse Capabilities
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    Chapter 9 SPRITE: A Fast Parallel SNP Detection Pipeline
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    Chapter 10 Predictive Modeling for Job Power Consumption in HPC Systems
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    Chapter 11 Towards Machine Learning on the Automata Processor
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    Chapter 12 AutoMOMML: Automatic Multi-objective Modeling with Machine Learning
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    Chapter 13 Supercomputing Centers and Electricity Service Providers: A Geographically Distributed Perspective on Demand Management in Europe and the United States
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    Chapter 14 Resource Management for Running HPC Applications in Container Clouds
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    Chapter 15 Mitigating MPI Message Matching Misery
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    Chapter 16 INAM2: InfiniBand Network Analysis and Monitoring with MPI
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    Chapter 17 Comparing Runtime Systems with Exascale Ambitions Using the Parallel Research Kernels
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    Chapter 18 High Order Seismic Simulations on the Intel Xeon Phi Processor (Knights Landing)
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    Chapter 19 Leveraging a Cluster-Booster Architecture for Brain-Scale Simulations
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    Chapter 20 Efficient and Predictable Group Communication for Manycore NoCs
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    Chapter 21 Distributed Job Allocation for Large-Scale Manycores
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    Chapter 22 Many-Core Acceleration of a Discrete Ordinates Transport Mini-App at Extreme Scale
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    Chapter 23 Efficiency of High Order Spectral Element Methods on Petascale Architectures
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    Chapter 24 Scalability of Partial Differential Equations Preconditioner Resilient to Soft and Hard Faults
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    Chapter 25 Multi-versioning Performance Opportunities in BGAS System for Resilience
Attention for Chapter 20: Efficient and Predictable Group Communication for Manycore NoCs
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Citations

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Chapter title
Efficient and Predictable Group Communication for Manycore NoCs
Chapter number 20
Book title
High Performance Computing
Published in
Lecture notes in computer science, June 2016
DOI 10.1007/978-3-319-41321-1_20
Book ISBNs
978-3-31-941320-4, 978-3-31-941321-1
Authors

Karthik Yagna, Onkar Patil, Frank Mueller

Editors

Julian M. Kunkel, Pavan Balaji, Jack Dongarra

View on publisher site
X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 2 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 2 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 100%
Readers by discipline Count As %
Computer Science 1 50%
Engineering 1 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 14 September 2023.
All research outputs
#19,869,877
of 24,417,958 outputs
Outputs from Lecture notes in computer science
#6,049
of 8,156 outputs
Outputs of similar age
#275,548
of 358,986 outputs
Outputs of similar age from Lecture notes in computer science
#246
of 352 outputs
Altmetric has tracked 24,417,958 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,156 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.1. This one is in the 13th percentile – i.e., 13% 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 358,986 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 352 others from the same source and published within six weeks on either side of this one. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.

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