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Euro-Par 2016: Parallel Processing

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Cover of 'Euro-Par 2016: Parallel Processing'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Resampling with Feedback — A New Paradigm of Using Workload Data for Performance Evaluation
  3. Altmetric Badge
    Chapter 2 Scheduling DAGs Opportunistically: The Dream and the Reality Circa 2016
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    Chapter 3 Synchronization Debugging of Hybrid Parallel Programs
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    Chapter 4 Nasty-MPI: Debugging Synchronization Errors in MPI-3 One-Sided Applications
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    Chapter 5 Automatic Benchmark Profiling Through Advanced Trace Analysis
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    Chapter 6 Addressing Materials Science Challenges Using GPU-accelerated POWER8 Nodes
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    Chapter 7 Performance Prediction and Ranking of SpMV Kernels on GPU Architectures
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    Chapter 8 The Impact of Voltage-Frequency Scaling for the Matrix-Vector Product on the IBM POWER8
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    Chapter 9 Power Consumption Modeling and Prediction in a Hybrid CPU-GPU-MIC Supercomputer
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    Chapter 10 Controlling and Assessing Correlations of Cost Matrices in Heterogeneous Scheduling
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    Chapter 11 Penalized Graph Partitioning for Static and Dynamic Load Balancing
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    Chapter 12 Non-preemptive Scheduling with Setup Times: A PTAS
  14. Altmetric Badge
    Chapter 13 Cuboid Partitioning for Parallel Matrix Multiplication on Heterogeneous Platforms
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    Chapter 14 HeSP: A Simulation Framework for Solving the Task Scheduling-Partitioning Problem on Heterogeneous Architectures
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    Chapter 15 FPT Approximation Algorithm for Scheduling with Memory Constraints
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    Chapter 16 Scheduling MapReduce Jobs Under Multi-round Precedences
  18. Altmetric Badge
    Chapter 17 Euro-Par 2016: Parallel Processing
  19. Altmetric Badge
    Chapter 18 Piecewise Holistic Autotuning of Compiler and Runtime Parameters
  20. Altmetric Badge
    Chapter 19 Insights into the Fallback Path of Best-Effort Hardware Transactional Memory Systems
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    Chapter 20 Portable SIMD Performance with OpenMP* 4.x Compiler Directives
  22. Altmetric Badge
    Chapter 21 Lightweight Multi-language Bindings for Apache Spark
  23. Altmetric Badge
    Chapter 22 Toward a General I/O Arbitration Framework for netCDF Based Big Data Processing
  24. Altmetric Badge
    Chapter 23 High Performance Parallel Summed-Area Table Kernels for Multi-core and Many-core Systems
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    Chapter 24 GraphIn: An Online High Performance Incremental Graph Processing Framework
  26. Altmetric Badge
    Chapter 25 Efficient Large Outer Joins over MapReduce
  27. Altmetric Badge
    Chapter 26 Slurm-V: Extending Slurm for Building Efficient HPC Cloud with SR-IOV and IVShmem
  28. Altmetric Badge
    Chapter 27 An Autonomic Parallel Strategy for the Projection of Ecological Niche Models in Heterogeneous Computational Environments
  29. Altmetric Badge
    Chapter 28 Towards Network-Aware Service Placement in Community Network Micro-Clouds
  30. Altmetric Badge
    Chapter 29 Heating as a Cloud-Service, A Position Paper (Industrial Presentation)
  31. Altmetric Badge
    Chapter 30 Design and Verification of Distributed Phasers
  32. Altmetric Badge
    Chapter 31 Exploring Partial Replication to Improve Lightweight Silent Data Corruption Detection for HPC Applications
  33. Altmetric Badge
    Chapter 32 Automatic Verification of Self-consistent MPI Performance Guidelines
  34. Altmetric Badge
    Chapter 33 ParallelME: A Parallel Mobile Engine to Explore Heterogeneity in Mobile Computing Architectures
  35. Altmetric Badge
    Chapter 34 CBPQ: High Performance Lock-Free Priority Queue
  36. Altmetric Badge
    Chapter 35 Euro-Par 2016: Parallel Processing
  37. Altmetric Badge
    Chapter 36 A Sharing-Aware Memory Management Unit for Online Mapping in Multi-core Architectures
  38. Altmetric Badge
    Chapter 37 GreenBST: Energy-Efficient Concurrent Search Tree
  39. Altmetric Badge
    Chapter 38 HAP: A Heterogeneity-Conscious Runtime System for Adaptive Pipeline Parallelism
  40. Altmetric Badge
    Chapter 39 Using Data Dependencies to Improve Task-Based Scheduling Strategies on NUMA Architectures
  41. Altmetric Badge
    Chapter 40 Multicore vs Manycore: The Energy Cost of Concurrency
  42. Altmetric Badge
    Chapter 41 Work-Efficient Parallel Union-Find with Applications to Incremental Graph Connectivity
  43. Altmetric Badge
    Chapter 42 An Efficient Cache-oblivious Parallel Viterbi Algorithm
  44. Altmetric Badge
    Chapter 43 Gradual Stabilization Under $$\tau $$ -Dynamics
  45. Altmetric Badge
    Chapter 44 High Performance Polar Decomposition on Distributed Memory Systems
  46. Altmetric Badge
    Chapter 45 A Synchronization-Free Algorithm for Parallel Sparse Triangular Solves
  47. Altmetric Badge
    Chapter 46 Exploiting Task-Parallelism in Message-Passing Sparse Linear System Solvers Using OmpSs
  48. Altmetric Badge
    Chapter 47 Lightweight and Accurate Silent Data Corruption Detection in Ordinary Differential Equation Solvers
  49. Altmetric Badge
    Chapter 48 High-Performance Matrix-Matrix Multiplications of Very Small Matrices
  50. Altmetric Badge
    Chapter 49 Effective Minimally-Invasive GPU Acceleration of Distributed Sparse Matrix Factorization
  51. Altmetric Badge
    Chapter 50 Automatic OpenCL Task Adaptation for Heterogeneous Architectures
Attention for Chapter 35: Euro-Par 2016: Parallel Processing
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (77th percentile)
  • High Attention Score compared to outputs of the same age and source (81st percentile)

Mentioned by

news
1 news outlet

Citations

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9 Dimensions

Readers on

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10 Mendeley
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Chapter title
Euro-Par 2016: Parallel Processing
Chapter number 35
Book title
Euro-Par 2016: Parallel Processing
Published in
Lecture notes in computer science, August 2016
DOI 10.1007/978-3-319-43659-3_35
Book ISBNs
978-3-31-943658-6, 978-3-31-943659-3
Authors

Ali Charara, Hatem Ltaief, David Keyes, Charara, Ali, Ltaief, Hatem, Keyes, David

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 10 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Japan 1 10%
Unknown 9 90%

Demographic breakdown

Readers by professional status Count As %
Professor > Associate Professor 3 30%
Student > Ph. D. Student 3 30%
Other 1 10%
Researcher 1 10%
Student > Master 1 10%
Other 0 0%
Unknown 1 10%
Readers by discipline Count As %
Computer Science 7 70%
Business, Management and Accounting 1 10%
Earth and Planetary Sciences 1 10%
Unknown 1 10%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 10 January 2017.
All research outputs
#4,203,641
of 22,931,367 outputs
Outputs from Lecture notes in computer science
#988
of 8,129 outputs
Outputs of similar age
#71,988
of 341,752 outputs
Outputs of similar age from Lecture notes in computer science
#55
of 502 outputs
Altmetric has tracked 22,931,367 research outputs across all sources so far. Compared to these this one has done well and is in the 80th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,129 research outputs from this source. They receive a mean Attention Score of 5.0. This one has done well, scoring higher than 82% 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 341,752 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 77% of its contemporaries.
We're also able to compare this research output to 502 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 81% of its contemporaries.