What is he best known for?
The fields of study he is best known for:
- Operating system
- Computer network
- Software
His scientific interests lie mostly in Operating system, Distributed computing, Virtual machine, Computer hardware and Computer network.
His work on Translation expands to the thematically related Operating system.
Michael Kozuch has included themes like Smart Cache, Workload, Cloud computing and Data center in his Distributed computing study.
His work carried out in the field of Virtual machine brings together such families of science as Temporal isolation among virtual machines, Data diffusion machine, Embedded system and Hypervisor.
His Computer hardware course of study focuses on Parallel computing and Work stealing.
As a part of the same scientific family, Michael Kozuch mostly works in the field of Computer network, focusing on Power management and, on occasion, Robustness.
His most cited work include:
- Heterogeneity and dynamicity of clouds at scale: Google trace analysis (735 citations)
- c-Through: part-time optics in data centers (555 citations)
- Internet suspend/resume (323 citations)
What are the main themes of his work throughout his whole career to date?
Michael Kozuch mostly deals with Operating system, Virtual machine, Distributed computing, Embedded system and Parallel computing.
His work on Software, Virtualization and The Internet is typically connected to Component as part of general Operating system study, connecting several disciplines of science.
In his research on the topic of Virtual machine, Data diffusion machine is strongly related with Full virtualization.
His studies deal with areas such as Dataflow, Cloud computing and Scheduling, Computer network, Server as well as Distributed computing.
The various areas that Michael Kozuch examines in his Embedded system study include Fault, Multi-core processor and Reliability.
His Parallel computing research integrates issues from Dram, Computer hardware and Page.
He most often published in these fields:
- Operating system (39.85%)
- Virtual machine (30.08%)
- Distributed computing (23.31%)
What were the highlights of his more recent work (between 2012-2019)?
- Parallel computing (17.29%)
- Distributed computing (23.31%)
- Dram (6.02%)
In recent papers he was focusing on the following fields of study:
Michael Kozuch spends much of his time researching Parallel computing, Distributed computing, Dram, Computer hardware and Cache.
His work on Memory bandwidth as part of general Parallel computing study is frequently linked to Weak consistency, therefore connecting diverse disciplines of science.
His Distributed computing study combines topics from a wide range of disciplines, such as Dataflow and Server.
His research in Server focuses on subjects like Quality of service, which are connected to Cloud computing.
His study in Dram is interdisciplinary in nature, drawing from both Energy consumption and Row.
Within one scientific family, Michael Kozuch focuses on topics pertaining to Reliability under State, and may sometimes address concerns connected to Operating system.
Between 2012 and 2019, his most popular works were:
- RowClone: fast and energy-efficient in-DRAM bulk data copy and initialization (205 citations)
- Ambit: in-memory accelerator for bulk bitwise operations using commodity DRAM technology (195 citations)
- Fast Bulk Bitwise AND and OR in DRAM (113 citations)
In his most recent research, the most cited papers focused on:
- Operating system
- Computer network
- Software
The scientist’s investigation covers issues in Parallel computing, Computer hardware, Dram, Cache and Memory bandwidth.
His Parallel computing research focuses on Cache pollution, Cache algorithms, Cache coloring, Cache-oblivious algorithm and Non-uniform memory access.
Michael Kozuch has researched Computer hardware in several fields, including Energy consumption, Efficient energy use and Bitwise operation.
His Bitwise operation research includes elements of Hybrid Memory Cube and Hardware acceleration.
His work in the fields of Cache, such as CPU cache, Least frequently used, Page cache and Cache invalidation, overlaps with other areas such as Memory controller.
His work in Memory bandwidth covers topics such as SIMD which are related to areas like Physical address and Data structure.
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