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Fog Computing Based IoT Applications and Their Performance için kapak resmi

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Fog Computing Based IoT Applications and Their Performance

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Gundala palle, Santosh reddy, author.

http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqm&rft_dat=xri:pqdiss:10826020

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applications (Self Driving, Health Monitoring, Gamming, Real-Time Big Data Analytics, Live Streaming and

Machine Learning-inspired High-performance and Energy-efficient Heterogeneous Manycore Chip Design için kapak resmi

2.

Machine Learning-inspired High-performance and Energy-efficient Heterogeneous Manycore Chip Design

by

Choi, Wonje, author.

http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqm&rft_dat=xri:pqdiss:10746308

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for many emerging application domains including artificial intelligence, bio-computing and big data

Hardware and Software Accelerators for Big Data Machine Learning Workloads için kapak resmi

3.

Hardware and Software Accelerators for Big Data Machine Learning Workloads

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Nitin, Nitin, author.

http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqm&rft_dat=xri:pqdiss:10272218

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We are in the computing era of super-zetta data bytes (a.k.a. Big Data). Big Data is critical to

System, Architectural and Application Level Analysis of Big Data Applications for Performance and Energy-efficiency için kapak resmi

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System, Architectural and Application Level Analysis of Big Data Applications for Performance and Energy-efficiency

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Malik, Maria, author. (orcid)0000-0001-8425-2501

http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqm&rft_dat=xri:pqdiss:10785775

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computational requirements of big data and analytics technologies. Thus, more applications need to share CPU at

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