Rakesh Kumar mainly investigates Embedded system, Multiprocessing, Parallel computing, Multi-core processor and Thread. His work carried out in the field of Embedded system brings together such families of science as Scalability and CMOS. His study looks at the relationship between Multiprocessing and fields such as Crossbar switch, as well as how they intersect with chemical problems.
His study looks at the relationship between Parallel computing and topics such as Chip, which overlap with System on a chip, Electrical efficiency and Single-core. His Multi-core processor study combines topics in areas such as Computer architecture, Reduction and System software. His study looks at the intersection of Reduction and topics like Energy consumption with Efficient energy use.
Rakesh Kumar spends much of his time researching Embedded system, Parallel computing, Artificial intelligence, Multi-core processor and Distributed computing. His research integrates issues of Voltage, Software, System software and Efficient energy use in his study of Embedded system. His Parallel computing study incorporates themes from Thread and Chip.
His Artificial intelligence research is multidisciplinary, incorporating perspectives in Machine learning and Computer vision. In his study, Multiprocessing is inextricably linked to Computer architecture, which falls within the broad field of Multi-core processor. His biological study spans a wide range of topics, including Redundancy, Scalability and Network packet.
Artificial intelligence, Computer vision, Distributed computing, Machine learning and Image are his primary areas of study. In general Artificial intelligence, his work in Segmentation, Inference engine and Classification methods is often linked to Spatial analysis linking many areas of study. His studies deal with areas such as Computation, Computer-aided and Rebar as well as Computer vision.
His Distributed computing research incorporates themes from Linear network coding, Critical infrastructure, Network topology, Redundancy and Mobile device. Embedded system covers Rakesh Kumar research in Microcontroller. Within one scientific family, Rakesh Kumar focuses on topics pertaining to Reduction under Reliability, and may sometimes address concerns connected to Computer hardware.
His scientific interests lie mostly in Distributed computing, Artificial intelligence, Mobile device, Computer vision and Computer hardware. His Distributed computing study combines topics in areas such as Redundancy, Network topology, Critical infrastructure and Linear network coding. His work in the fields of Image, Modality and Multi modal data overlaps with other areas such as Point and 3d perception.
His work carried out in the field of Mobile device brings together such families of science as Data processing, Private information retrieval, Thresholding, Differential privacy and Analytics. His Computer vision research includes themes of Frame and Computation. The concepts of his Computer hardware study are interwoven with issues in Low voltage and Pipeline.
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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)
Interconnections in Multi-Core Architectures: Understanding Mechanisms, Overheads and Scaling
Rakesh Kumar;Victor Zyuban;Dean M. Tullsen.
international symposium on computer architecture (2005)
Heterogeneous chip multiprocessors
R. Kumar;D.M. Tullsen;N.P. Jouppi;P. Ranganathan.
IEEE Computer (2005)
Core architecture optimization for heterogeneous chip multiprocessors
Rakesh Kumar;Dean M. Tullsen;Norman P. Jouppi.
international conference on parallel architectures and compilation techniques (2006)
On reconfiguration-oriented approximate adder design and its application
Rong Ye;Ting Wang;Feng Yuan;Rakesh Kumar.
international conference on computer aided design (2013)
Method and apparatus for providing immersive surveillance
Aydin Arpa;Keith J. Hanna;Rakesh Kumar;Supun Samarasekera.
Slack redistribution for graceful degradation under voltage overscaling
Andrew B. Kahng;Seokhyeong Kang;Rakesh Kumar;John Sartori.
asia and south pacific design automation conference (2010)
Scalable stochastic processors
Sriram Narayanan;John Sartori;Rakesh Kumar;Douglas L. Jones.
design, automation, and test in europe (2010)
Naresh R. Shanbhag;Rami A. Abdallah;Rakesh Kumar;Douglas L. Jones.
design automation conference (2010)
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