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Architecture of Computing Systems - ARCS 2017

Overview of attention for book
Cover of 'Architecture of Computing Systems - ARCS 2017'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Effectiveness of Software-Based Hardening for Radiation-Induced Soft Errors in Real-Time Operating Systems
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    Chapter 2 Fault-Tolerant Execution on COTS Multi-core Processors with Hardware Transactional Memory Support
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    Chapter 3 OpenCL-Based 6D-Vision on Heterogeneous System on Chips
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    Chapter 4 Hardware-Accelerated Radix-Tree Based String Sorting for Big Data Applications
  6. Altmetric Badge
    Chapter 5 Boosting Java Performance Using GPGPUs
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    Chapter 6 A Low Noise Unikernel for Extrem-Scale Systems
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    Chapter 7 A New Approach to Detecting Execution Phases Using Performance Monitoring Counters
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    Chapter 8 Adaptive and Scalable Predictive Page Policies for High Core-Count Server CPUs
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    Chapter 9 A Method for Fast Evaluation of Sharing Set Management Strategies in Cache Coherence Protocols
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    Chapter 10 HBM-Resident Prefetching for Heterogeneous Memory System
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    Chapter 11 Reduced Complexity Many-Core: Timing Predictability Due to Message-Passing
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    Chapter 12 Parallel Forwarding for Efficient Bandwidth Utilization in Networks-on-Chip
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    Chapter 13 PLSS: A Scheduler for Multi-core Embedded Systems
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    Chapter 14 Exploring ILP and TLP on a Polymorphic VLIW Processor
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    Chapter 15 Scheduling of Datacompression on Distributed Systems with Time- and Event-Triggered Messages
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    Chapter 16 Semi-partitioned Mixed-Criticality Scheduling
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    Chapter 17 DVFS Space Exploration in Power Constrained Processing-in-Memory Systems
  19. Altmetric Badge
    Chapter 18 Reducing Data Center Resource Over-Provisioning Through Dynamic Load Management for Virtualized Network Functions
  20. Altmetric Badge
    Chapter 19 Dynamic Power Management in a Heterogeneous Processor Architecture
Attention for Chapter 10: HBM-Resident Prefetching for Heterogeneous Memory System
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Chapter title
HBM-Resident Prefetching for Heterogeneous Memory System
Chapter number 10
Book title
Architecture of Computing Systems - ARCS 2017
Published in
Lecture notes in computer science, March 2017
DOI 10.1007/978-3-319-54999-6_10
Book ISBNs
978-3-31-954998-9, 978-3-31-954999-6
Authors

Mahzabeen Islam, Krishna M. Kavi, Mitesh Meswani, Soumik Banerjee, Nuwan Jayasena

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 6 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 6 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 2 33%
Professor 1 17%
Student > Doctoral Student 1 17%
Professor > Associate Professor 1 17%
Unknown 1 17%
Readers by discipline Count As %
Computer Science 4 67%
Unknown 2 33%
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 17 April 2017.
All research outputs
#20,413,129
of 22,963,381 outputs
Outputs from Lecture notes in computer science
#7,006
of 8,137 outputs
Outputs of similar age
#270,563
of 310,357 outputs
Outputs of similar age from Lecture notes in computer science
#95
of 115 outputs
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So far Altmetric has tracked 8,137 research outputs from this source. They receive a mean Attention Score of 5.0. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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We're also able to compare this research output to 115 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.