His scientific interests lie mostly in Embedded system, Multi-core processor, Parallel computing, Power consumption and Resource. He incorporates Embedded system and Reduction in his research. His Multi-core processor research incorporates themes from System software, Application software and Transfer.
His Parallel computing research integrates issues from Thread and Register allocation. His Power consumption study combines topics from a wide range of disciplines, such as Application lifecycle management, Electronic engineering, Power budget and Maximum power principle. His work focuses on many connections between Server and other disciplines, such as Workload, that overlap with his field of interest in Speedup, Instruction set, Multiprocessing, Multithreading and Computer architecture.
His main research concerns Parallel computing, Embedded system, State, Resource and Operating system. The study incorporates disciplines such as Latency and Compiler in addition to Parallel computing. Keith I. Farkas has included themes like System software, Application lifecycle management, Multi-core processor and Mobile computing in his Embedded system study.
His biological study spans a wide range of topics, including Energy consumption, Frequency scaling and Low-power electronics. His Multi-core processor research is multidisciplinary, relying on both Workload and Application software. His work on Supercomputer and Shared resource as part of his general Operating system study is frequently connected to Queue and Instructions per cycle, thereby bridging the divide between different branches of science.
His primary areas of study are Provisioning, State, Services computing, Computer security and Virtual machine. His Provisioning research includes themes of Application server, Web service and Virtual desktop. His State research incorporates elements of Process management, Current, Systems management and Knowledge management.
His Virtual machine study contributes to a more complete understanding of Operating system.
His scientific interests lie mostly in Provisioning, Computer security, Services computing, State and Production. His Production research overlaps with other disciplines such as Virtual machine, Temporal isolation among virtual machines, Operating system and Server.
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Single-ISA heterogeneous multi-core architectures: the potential for processor power reduction
Rakesh Kumar;Keith I. Farkas;Norman P. Jouppi;Parthasarathy Ranganathan.
international symposium on microarchitecture (2003)
Single-ISA Heterogeneous Multi-Core Architectures for Multithreaded Workload Performance
Rakesh Kumar;Dean M. Tullsen;Parthasarathy Ranganathan;Norman P. Jouppi.
international symposium on computer architecture (2004)
Dynamically selecting processor cores for overall power efficiency
Keith Farkas;Norman P. Jouppi;Robert N. Mayo;Parthasarathy Ranganathan.
Policies for dynamic clock scheduling
Dirk Grunwald;Charles B. Morrey;Philip Levis;Michael Neufeld.
operating systems design and implementation (2000)
The multicluster architecture: reducing cycle time through partitioning
Keith I. Farkas;Paul Chow;Norman P. Jouppi;Zvonko Vranesic.
international symposium on microarchitecture (1997)
The optimal logic depth per pipeline stage is 6 to 8 FO4 inverter delays
M. S. Hrishikesh;Doug Burger;Norman P. Jouppi;Stephen W. Keckler.
international symposium on computer architecture (2002)
Controlling power consumption of at least one computer system
Keith Istvan Farkas;Gopalakrishnan Janakiraman;Robert Stets;Chandrakant D. Patel.
Application management based on power consumption
Keith Istvan Farkas;Parthasarathy Ranganathan.
Historical data based workload allocation
Parthasarathy Ranganathan;Keith Farkas;Justin Moore.
Cooling system for computer systems
Chandrakant D. Patel;Keith Istvan Farkas;Gopalakrishnan Janakiraman.
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