H-Index & Metrics Top Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Computer Science H-index 80 Citations 25,235 194 World Ranking 444 National Ranking 266

Research.com Recognitions

Awards & Achievements

2016 - ACM Fellow For contributions to transactional memory and data center architecture.

Overview

What is he best known for?

The fields of study he is best known for:

  • Operating system
  • Central processing unit
  • Programming language

His primary scientific interests are in Operating system, Scalability, Parallel computing, Transactional memory and Server. The Operating system study combines topics in areas such as Instruction set and Runtime system. His Scalability research includes themes of Dram, Computer architecture, Static random-access memory, Analytics and Multi-core processor.

His study brings together the fields of Multithreading and Parallel computing. A large part of his Transactional memory studies is devoted to Software transactional memory. He has researched Server in several fields, including Latency, Distributed computing, Workload, Quality of service and Cloud computing.

His most cited work include:

  • Evaluating MapReduce for Multi-core and Multiprocessor Systems (891 citations)
  • STAMP: Stanford Transactional Applications for Multi-Processing (763 citations)
  • Transactional Memory Coherence and Consistency (663 citations)

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

His primary areas of study are Distributed computing, Parallel computing, Operating system, Embedded system and Transactional memory. His Distributed computing research is multidisciplinary, relying on both Workload, Cost efficiency, Scheduling, Cloud computing and Server. His work focuses on many connections between Server and other disciplines, such as Scalability, that overlap with his field of interest in Synchronization.

His Parallel computing study incorporates themes from Multithreading and Thread. The study incorporates disciplines such as Dram, Multi-core processor, Computer architecture and Efficient energy use in addition to Embedded system. His studies examine the connections between Transactional memory and genetics, as well as such issues in Software, with regards to Programming paradigm and Data structure.

He most often published in these fields:

  • Distributed computing (24.07%)
  • Parallel computing (21.30%)
  • Operating system (20.37%)

What were the highlights of his more recent work (between 2015-2021)?

  • Distributed computing (24.07%)
  • Cloud computing (14.81%)
  • Scheduling (12.96%)

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

His primary areas of investigation include Distributed computing, Cloud computing, Scheduling, Software and Latency. His biological study spans a wide range of topics, including Workload, Quality of service, Inference and Cost efficiency. Cloud computing is a subfield of Operating system that Christos Kozyrakis explores.

His Scheduling research is multidisciplinary, incorporating perspectives in Scalability, Compiler, Dataflow and Efficient energy use. As part of one scientific family, Christos Kozyrakis deals mainly with the area of Software, narrowing it down to issues related to the Programming paradigm, and often Speedup, High-level synthesis, Scala and Programmer. His work is dedicated to discovering how Latency, Embedded system are connected with Latency and IOPS and other disciplines.

Between 2015 and 2021, his most popular works were:

  • TETRIS: Scalable and Efficient Neural Network Acceleration with 3D Memory (227 citations)
  • HRL: Efficient and flexible reconfigurable logic for near-data processing (95 citations)
  • Plasticine: A Reconfigurable Architecture For Parallel Paterns (91 citations)

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

  • Operating system
  • Central processing unit
  • Programming language

The scientist’s investigation covers issues in Parallel computing, Software, Distributed computing, Field-programmable gate array and Efficient energy use. His studies in Parallel computing integrate themes in fields like Artificial neural network, Queueing theory and Dram. His Distributed computing study integrates concerns from other disciplines, such as Quality of service, Ephemeral key, Analytics and Cost efficiency.

His Field-programmable gate array research incorporates themes from Routing and Computer architecture. His Efficient energy use study frequently involves adjacent topics like Scheduling. His Cloud computing research is within the category of Operating system.

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.

Top Publications

Evaluating MapReduce for Multi-core and Multiprocessor Systems

C. Ranger;R. Raghuraman;A. Penmetsa;G. Bradski.
high-performance computer architecture (2007)

1313 Citations

STAMP: Stanford Transactional Applications for Multi-Processing

Chi Cao Minh;JaeWoong Chung;C. Kozyrakis;K. Olukotun.
ieee international symposium on workload characterization (2008)

1158 Citations

Transactional Memory Coherence and Consistency

Lance Hammond;Vicky Wong;Mike Chen;Brian D. Carlstrom.
international symposium on computer architecture (2004)

960 Citations

A case for intelligent RAM

D. Patterson;T. Anderson;N. Cardwell;R. Fromm.
IEEE Micro (1997)

933 Citations

Quasar: resource-efficient and QoS-aware cluster management

Christina Delimitrou;Christos Kozyrakis.
architectural support for programming languages and operating systems (2014)

742 Citations

The case for RAMClouds: scalable high-performance storage entirely in DRAM

John Ousterhout;Parag Agrawal;David Erickson;Christos Kozyrakis.
Operating Systems Review (2010)

648 Citations

Paragon: QoS-aware scheduling for heterogeneous datacenters

Christina Delimitrou;Christos Kozyrakis.
architectural support for programming languages and operating systems (2013)

601 Citations

Understanding sources of inefficiency in general-purpose chips

Rehan Hameed;Wajahat Qadeer;Megan Wachs;Omid Azizi.
international symposium on computer architecture (2010)

555 Citations

On the energy (in)efficiency of Hadoop clusters

Jacob Leverich;Christos Kozyrakis.
international conference on power aware computing and systems (2010)

472 Citations

Full-System Power Analysis and Modeling for Server Environments

D. Economou;Suzanne Rivoire;C. Kozyrakis;P. Ranganathan.
(2006)

459 Citations

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

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