His primary areas of investigation include Embedded system, Computer architecture, Parallel computing, Software and Scheduling. His Embedded system study incorporates themes from Network topology, Smart camera, Distributed computing and Embedded software. His Computer architecture research is multidisciplinary, incorporating perspectives in Logic synthesis, Multiprocessing, Very-large-scale integration, Signal processing and System on a chip.
His Parallel computing research integrates issues from Data compression and Cluster analysis. Wayne Wolf has included themes like High-level synthesis and Implementation in his Software study. His Scheduling research includes themes of Workload, Working set and Basic block.
Wayne Wolf mainly investigates Embedded system, Parallel computing, Artificial intelligence, Computer architecture and Software. His Embedded system study combines topics in areas such as Multiprocessing, Smart camera, Scheduling and Embedded software. His studies in Scheduling integrate themes in fields like Finite-state machine and Distributed computing.
Wayne Wolf has researched Parallel computing in several fields, including Data compression and Code. His studies deal with areas such as Computer vision and Pattern recognition as well as Artificial intelligence. The Computer architecture study combines topics in areas such as Field-programmable gate array, Very-large-scale integration and MPSoC.
His primary scientific interests are in Embedded system, Smart camera, Real-time computing, Computer architecture and Multimedia. His study in Embedded system is interdisciplinary in nature, drawing from both Industrial engineering, Cryptography, Field, Dataflow and Systems design. His Smart camera research incorporates elements of Image sensor, Embedded computer vision, Application software, Tracking system and Intelligent sensor.
His Real-time computing study combines topics in areas such as Power control, Video tracking, Transmission, Computer vision and Artificial intelligence. His Computer architecture research includes themes of Theoretical computer science, Logic synthesis, Physical layer, Cognitive network and Field-programmable gate array. His studies in Scheduling integrate themes in fields like Control system and Distributed computing.
Wayne Wolf mostly deals with Embedded system, Cyber-physical system, Multimedia, Intelligent sensor and Smart camera. His Embedded system research is multidisciplinary, incorporating perspectives in Unified Modeling Language, Instruction set, Notation, Program Design Language and Systems design. His Cyber-physical system research incorporates themes from Control system, Scheduling, Software and Distributed computing.
His Distributed computing study integrates concerns from other disciplines, such as Job shop scheduling, Fixed-priority pre-emptive scheduling, Power control and Fair-share scheduling. The various areas that he examines in his Multimedia study include JPEG, Data compression, Compiler, Set and Benchmark. His studies deal with areas such as Image sensor, Computer architecture and Application software as well as Intelligent sensor.
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TGFF: task graphs for free
Robert P. Dick;David L. Rhodes;Wayne Wolf.
Proceedings of the Sixth International Workshop on Hardware/Software Codesign. (CODES/CASHE'98) (1998)
Computers as Components: Principles of Embedded Computing System Design
Key frame selection by motion analysis
international conference on acoustics speech and signal processing (1996)
Hardware-software co-design of embedded systems
Proceedings of the IEEE (1994)
Multiprocessor System-on-Chip (MPSoC) Technology
W. Wolf;A.A. Jerraya;G. Martin.
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (2008)
FPGA-Based System Design
Method and apparatus for video browsing based on content and structure
Boon-Lock Yeo;Minerva M. Yeung;Wayne Wolf;Bede Liu.
A decade of hardware/software codesign
IEEE Computer (2003)
The future of multiprocessor systems-on-chips
design automation conference (2004)
Profile was last updated on December 6th, 2021.
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The ranking h-index is inferred from publications deemed to belong to the considered discipline.
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