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Benchmarking, Measuring, and Optimizing

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Cover of 'Benchmarking, Measuring, and Optimizing'

Table of Contents

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    Book Overview
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    Chapter 1 AIBench: Towards Scalable and Comprehensive Datacenter AI Benchmarking
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    Chapter 2 HPC AI500: A Benchmark Suite for HPC AI Systems
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    Chapter 3 Edge AIBench: Towards Comprehensive End-to-End Edge Computing Benchmarking
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    Chapter 4 AIoT Bench: Towards Comprehensive Benchmarking Mobile and Embedded Device Intelligence
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    Chapter 5 A Survey on Deep Learning Benchmarks: Do We Still Need New Ones?
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    Chapter 6 Benchmarking VM Startup Time in the Cloud
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    Chapter 7 An Open Source Cloud-Based NoSQL and NewSQL Database Benchmarking Platform for IoT Data
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    Chapter 8 Scalability Evaluation of Big Data Processing Services in Clouds
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    Chapter 9 PAIE: A Personal Activity Intelligence Estimator in the Cloud
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    Chapter 10 DCMIX: Generating Mixed Workloads for the Cloud Data Center
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    Chapter 11 Machine-Learning Based Spark and Hadoop Workload Classification Using Container Performance Patterns
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    Chapter 12 Testing Raft-Replicated Database Systems
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    Chapter 13 Benchmarking for Transaction Processing Database Systems in Big Data Era
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    Chapter 14 UMDISW: A Universal Multi-Domain Intelligent Scientific Workflow Framework for the Whole Life Cycle of Scientific Data
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    Chapter 15 MiDBench: Multimodel Industrial Big Data Benchmark
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    Chapter 16 Power Characterization of Memory Intensive Applications: Analysis and Implications
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    Chapter 17 Multi-USVs Coordinated Detection in Marine Environment with Deep Reinforcement Learning
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    Chapter 18 EC-Bench: Benchmarking Onload and Offload Erasure Coders on Modern Hardware Architectures
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    Chapter 19 Benchmarking SpMV Methods on Many-Core Platforms
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    Chapter 20 Benchmarking Parallel K-Means Cloud Type Clustering from Satellite Data
Overall attention for this book and its chapters
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Mentioned by

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1 peer review site

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mendeley
1 Mendeley
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Title
Benchmarking, Measuring, and Optimizing
Published by
Springer International Publishing, December 2019
DOI 10.1007/978-3-030-32813-9
ISBNs
978-3-03-032812-2, 978-3-03-032813-9
Editors

Zheng, Chen, Zhan, Jianfeng

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 1 Mendeley reader of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 1 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 1 100%
Readers by discipline Count As %
Computer Science 1 100%

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