2016 - ACM Fellow For contributions to transactional memory and data center architecture.
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 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.
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.
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.
Evaluating MapReduce for Multi-core and Multiprocessor Systems
C. Ranger;R. Raghuraman;A. Penmetsa;G. Bradski.
high-performance computer architecture (2007)
STAMP: Stanford Transactional Applications for Multi-Processing
Chi Cao Minh;JaeWoong Chung;C. Kozyrakis;K. Olukotun.
ieee international symposium on workload characterization (2008)
A case for intelligent RAM
D. Patterson;T. Anderson;N. Cardwell;R. Fromm.
IEEE Micro (1997)
Transactional Memory Coherence and Consistency
Lance Hammond;Vicky Wong;Mike Chen;Brian D. Carlstrom.
international symposium on computer architecture (2004)
Quasar: resource-efficient and QoS-aware cluster management
Christina Delimitrou;Christos Kozyrakis.
architectural support for programming languages and operating systems (2014)
Paragon: QoS-aware scheduling for heterogeneous datacenters
Christina Delimitrou;Christos Kozyrakis.
architectural support for programming languages and operating systems (2013)
The case for RAMClouds: scalable high-performance storage entirely in DRAM
John Ousterhout;Parag Agrawal;David Erickson;Christos Kozyrakis.
Operating Systems Review (2010)
Understanding sources of inefficiency in general-purpose chips
Rehan Hameed;Wajahat Qadeer;Megan Wachs;Omid Azizi.
international symposium on computer architecture (2010)
ZSim: fast and accurate microarchitectural simulation of thousand-core systems
Daniel Sanchez;Christos Kozyrakis.
international symposium on computer architecture (2013)
On the energy (in)efficiency of Hadoop clusters
Jacob Leverich;Christos Kozyrakis.
international conference on power aware computing and systems (2010)
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