D-Index & Metrics Best Publications

D-Index & Metrics

Discipline name D-index D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines. Citations Publications World Ranking National Ranking
Computer Science D-index 31 Citations 4,878 69 World Ranking 8132 National Ranking 3771

Overview

What is he best known for?

The fields of study he is best known for:

  • Operating system
  • Artificial intelligence
  • Programming language

Jason Mars focuses on Distributed computing, Real-time computing, Quality of service, Operating system and Server. His study brings together the fields of Multi-core processor and Distributed computing. His Real-time computing research is multidisciplinary, relying on both Cloud computing and Leverage.

His studies deal with areas such as Mobile device, Mobile computing and Collaborative intelligence as well as Cloud computing. His Quality of service study combines topics in areas such as Boosting and Granularity. Jason Mars combines subjects such as Batch processing and Bubble with his study of Server.

His most cited work include:

  • Bubble-Up: increasing utilization in modern warehouse scale computers via sensible co-locations (438 citations)
  • Neurosurgeon: Collaborative Intelligence Between the Cloud and Mobile Edge (371 citations)
  • Bubble-flux: precise online QoS management for increased utilization in warehouse scale computers (262 citations)

What are the main themes of his work throughout his whole career to date?

Jason Mars spends much of his time researching Distributed computing, Artificial intelligence, Server, Quality of service and Multi-core processor. Jason Mars brings together Distributed computing and Scale to produce work in his papers. Within one scientific family, he focuses on topics pertaining to Machine learning under Artificial intelligence, and may sometimes address concerns connected to Representation.

His research investigates the connection with Server and areas like Workload which intersect with concerns in Scalability. His Quality of service research incorporates elements of Temporal isolation among virtual machines, Real-time computing, Embedded system and Leverage. His work investigates the relationship between Multi-core processor and topics such as Spec# that intersect with problems in Regression analysis and Predictive modelling.

He most often published in these fields:

  • Distributed computing (32.95%)
  • Artificial intelligence (18.18%)
  • Server (17.05%)

What were the highlights of his more recent work (between 2018-2020)?

  • Artificial intelligence (18.18%)
  • Machine learning (12.50%)
  • Training set (7.95%)

In recent papers he was focusing on the following fields of study:

His primary areas of study are Artificial intelligence, Machine learning, Training set, Dialog box and Training. His primary area of study in Artificial intelligence is in the field of Utterance. His study in Utterance is interdisciplinary in nature, drawing from both Value, Similarity and Natural language processing.

Machine learning combines with fields such as Structure, Control system, Semantic vector and Metric in his work. The study incorporates disciplines such as Annotation and Corpus based in addition to Training set. His Dialog box research is multidisciplinary, incorporating perspectives in Anomaly detection, Data mining and Outlier.

Between 2018 and 2020, his most popular works were:

  • GrandSLAm: Guaranteeing SLAs for Jobs in Microservices Execution Frameworks (34 citations)
  • An Evaluation Dataset for Intent Classification and Out-of-Scope Prediction (18 citations)
  • An Evaluation Dataset for Intent Classification and Out-of-Scope Prediction. (8 citations)

In his most recent research, the most cited papers focused on:

  • Operating system
  • Artificial intelligence
  • Programming language

His primary scientific interests are in Dialog box, Benchmark, Information retrieval, Class and Inference. His Dialog box research integrates issues from Anomaly detection, Data mining and Outlier. Jason Mars has researched Benchmark in several fields, including Field and Identification.

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Best Publications

Bubble-Up: increasing utilization in modern warehouse scale computers via sensible co-locations

Jason Mars;Lingjia Tang;Robert Hundt;Kevin Skadron.
international symposium on microarchitecture (2011)

616 Citations

Bubble-flux: precise online QoS management for increased utilization in warehouse scale computers

Hailong Yang;Alex Breslow;Jason Mars;Lingjia Tang.
international symposium on computer architecture (2013)

383 Citations

Neurosurgeon: Collaborative Intelligence Between the Cloud and Mobile Edge

Yiping Kang;Johann Hauswald;Cao Gao;Austin Rovinski.
architectural support for programming languages and operating systems (2017)

286 Citations

The impact of memory subsystem resource sharing on datacenter applications

Lingjia Tang;Jason Mars;Neil Vachharajani;Robert Hundt.
international symposium on computer architecture (2011)

268 Citations

Sirius: An Open End-to-End Voice and Vision Personal Assistant and Its Implications for Future Warehouse Scale Computers

Johann Hauswald;Michael A. Laurenzano;Yunqi Zhang;Cheng Li.
architectural support for programming languages and operating systems (2015)

262 Citations

The Architectural Implications of Autonomous Driving: Constraints and Acceleration

Shih-Chieh Lin;Yunqi Zhang;Chang-Hong Hsu;Matt Skach.
architectural support for programming languages and operating systems (2018)

233 Citations

DjiNN and Tonic: DNN as a service and its implications for future warehouse scale computers

Johann Hauswald;Yiping Kang;Michael A. Laurenzano;Quan Chen.
international symposium on computer architecture (2015)

170 Citations

Whare-map: heterogeneity in "homogeneous" warehouse-scale computers

Jason Mars;Lingjia Tang.
international symposium on computer architecture (2013)

167 Citations

Contention aware execution: online contention detection and response

Jason Mars;Neil Vachharajani;Robert Hundt;Mary Lou Soffa.
symposium on code generation and optimization (2010)

134 Citations

SMiTe: Precise QoS Prediction on Real-System SMT Processors to Improve Utilization in Warehouse Scale Computers

Yunqi Zhang;Michael A. Laurenzano;Jason Mars;Lingjia Tang.
international symposium on microarchitecture (2014)

132 Citations

Best Scientists Citing Jason Mars

Christos Kozyrakis

Christos Kozyrakis

Stanford University

Publications: 35

Minyi Guo

Minyi Guo

Shanghai Jiao Tong University

Publications: 32

Weisong Shi

Weisong Shi

Wayne State University

Publications: 25

David Brooks

David Brooks

Harvard University

Publications: 24

Onur Mutlu

Onur Mutlu

ETH Zurich

Publications: 19

Xu Chen

Xu Chen

Sun Yat-sen University

Publications: 19

Mahmut Kandemir

Mahmut Kandemir

Pennsylvania State University

Publications: 16

Hai Jin

Hai Jin

Huazhong University of Science and Technology

Publications: 16

Gu-Yeon Wei

Gu-Yeon Wei

Harvard University

Publications: 15

Albert Y. Zomaya

Albert Y. Zomaya

University of Sydney

Publications: 14

Ricardo Bianchini

Ricardo Bianchini

Microsoft (United States)

Publications: 14

Aniruddha Gokhale

Aniruddha Gokhale

Vanderbilt University

Publications: 14

Vijay Janapa Reddi

Vijay Janapa Reddi

Harvard University

Publications: 13

Chita R. Das

Chita R. Das

Pennsylvania State University

Publications: 13

Tao Li

Tao Li

University of Florida

Publications: 13

Profile was last updated on December 6th, 2021.
Research.com Ranking is based on data retrieved from the Microsoft Academic Graph (MAG).
The ranking d-index is inferred from publications deemed to belong to the considered discipline.

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