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 30 Citations 5,817 126 World Ranking 8260 National Ranking 3843

Overview

What is he best known for?

The fields of study he is best known for:

  • Operating system
  • Central processing unit
  • Computer network

His primary areas of study are Embedded system, Parallel computing, Phase-change memory, Computer hardware and Memory architecture. The Embedded system study combines topics in areas such as Schedule, Chip, Low-power electronics, Network processor and Scheduling. His Cache pollution and Cache study, which is part of a larger body of work in Parallel computing, is frequently linked to Small number and Set, bridging the gap between disciplines.

Combining a variety of fields, including Phase-change memory, Dram, Non-volatile memory and Scalability, are what the author presents in his essays. His Dram study deals with Wear leveling intersecting with Interleaved memory, Non-volatile random-access memory, Semiconductor memory, Dynamic random-access memory and Memory refresh. His work carried out in the field of Computer hardware brings together such families of science as Overhead and Reduction.

His most cited work include:

  • A durable and energy efficient main memory using phase change memory technology (793 citations)
  • Phase-Change Technology and the Future of Main Memory (337 citations)
  • Energy reduction for STT-RAM using early write termination (293 citations)

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

Jun Yang spends much of his time researching Embedded system, Parallel computing, Computer hardware, Cache and Dram. His Embedded system research incorporates themes from Schedule, Chip, Network processor, Static random-access memory and Efficient energy use. His biological study spans a wide range of topics, including Energy consumption, Scheduling, Memory controller and Encoding.

His work on Non-volatile memory as part of general Computer hardware research is frequently linked to Phase-change memory, bridging the gap between disciplines. His Cache study combines topics from a wide range of disciplines, such as Magnetoresistive random-access memory and Instruction set. His Dram research includes elements of Dynamic random-access memory, Random access memory, Backup, Wear leveling and Bitwise operation.

He most often published in these fields:

  • Embedded system (26.92%)
  • Parallel computing (23.63%)
  • Computer hardware (20.88%)

What were the highlights of his more recent work (between 2017-2020)?

  • Latency (10.44%)
  • Parallel computing (23.63%)
  • Dram (15.93%)

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

Jun Yang mainly investigates Latency, Parallel computing, Dram, Computer hardware and Embedded system. His research investigates the link between Latency and topics such as Context switch that cross with problems in Kernel. Jun Yang has included themes like Lookup table and Leverage in his Parallel computing study.

His Dram study combines topics in areas such as Overhead, Energy consumption, Charge sharing, Memory protection and Bitwise operation. His Computer hardware research is multidisciplinary, relying on both Resistive random-access memory, Scalability, Working set and Speedup. The study incorporates disciplines such as General-purpose computing on graphics processing units, Logic gate and Static random-access memory in addition to Embedded system.

Between 2017 and 2020, his most popular works were:

  • DrAcc: a DRAM based accelerator for accurate CNN inference (42 citations)
  • A Framework for Memory Oversubscription Management in Graphics Processing Units (26 citations)
  • Interplay between hardware prefetcher and page eviction policy in CPU-GPU unified virtual memory (20 citations)

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

  • Operating system
  • Central processing unit
  • Computer network

Jun Yang mostly deals with Dram, Flash memory, Embedded system, Random access memory and Overhead. His research integrates issues of Energy consumption, Lookup table, Bitwise operation and Leverage in his study of Dram. His study in the field of Wear leveling is also linked to topics like Garbage collection.

His study in Overhead is interdisciplinary in nature, drawing from both Power network design, Electrical engineering, Crossbar switch and Resistive random-access memory. His Scheduling research incorporates elements of Computer hardware and Latency. His work in Computer hardware addresses subjects such as Data migration, which are connected to disciplines such as Page fault.

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

A durable and energy efficient main memory using phase change memory technology

Ping Zhou;Bo Zhao;Jun Yang;Youtao Zhang.
international symposium on computer architecture (2009)

1104 Citations

Phase-Change Technology and the Future of Main Memory

B.C. Lee;Ping Zhou;Jun Yang;Youtao Zhang.
IEEE Micro (2010)

418 Citations

Energy reduction for STT-RAM using early write termination

Ping Zhou;Bo Zhao;Jun Yang;Youtao Zhang.
international conference on computer aided design (2009)

398 Citations

Frequent value compression in data caches

Jun Yang;Youtao Zhang;Rajiv Gupta.
international symposium on microarchitecture (2000)

269 Citations

Frequent value locality and value-centric data cache design

Youtao Zhang;Jun Yang;Rajiv Gupta.
architectural support for programming languages and operating systems (2000)

237 Citations

Fast secure processor for inhibiting software piracy and tampering

Jun Yang;Youtao Zhang;Lan Gao.
international symposium on microarchitecture (2003)

206 Citations

Improving write operations in MLC phase change memory

Lei Jiang;Bo Zhao;Youtao Zhang;Jun Yang.
high performance computer architecture (2012)

206 Citations

Dynamic Thermal Management through Task Scheduling

Jun Yang;Xiuyi Zhou;M. Chrobak;Youtao Zhang.
international symposium on performance analysis of systems and software (2008)

173 Citations

A Way-Halting Cache for Low-Energy High-Performance Systems

Chuanjun Zhang;F. Vahid;Jun Yang;W. Walid.
IEEE Computer Architecture Letters (2003)

157 Citations

A way-halting cache for low-energy high-performance systems

Chuanjun Zhang;Frank Vahid;Jun Yang;Walid Najjar.
international symposium on low power electronics and design (2004)

151 Citations

Best Scientists Citing Jun Yang

Onur Mutlu

Onur Mutlu

ETH Zurich

Publications: 119

Yuan Xie

Yuan Xie

University of California, Santa Barbara

Publications: 70

Yiran Chen

Yiran Chen

Duke University

Publications: 53

Rami Melhem

Rami Melhem

University of Pittsburgh

Publications: 45

Edwin H.-M. Sha

Edwin H.-M. Sha

East China Normal University

Publications: 35

Mahmut Kandemir

Mahmut Kandemir

Pennsylvania State University

Publications: 31

Hai Li

Hai Li

Duke University

Publications: 29

Dan Feng

Dan Feng

Huazhong University of Science and Technology

Publications: 27

Yan Solihin

Yan Solihin

University of Central Florida

Publications: 27

Kaushik Roy

Kaushik Roy

Purdue University West Lafayette

Publications: 25

Guangyu Sun

Guangyu Sun

Peking University

Publications: 24

Anand Raghunathan

Anand Raghunathan

Purdue University West Lafayette

Publications: 23

Mehdi B. Tahoori

Mehdi B. Tahoori

Karlsruhe Institute of Technology

Publications: 22

Nikil Dutt

Nikil Dutt

University of California, Irvine

Publications: 21

Chita R. Das

Chita R. Das

Pennsylvania State University

Publications: 21

Daniel Mosse

Daniel Mosse

University of Pittsburgh

Publications: 18

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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