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Sunday, May 3, 2020 | History

2 edition of Reconfigurable integrated circuits for computation-intensive applications found in the catalog.

Reconfigurable integrated circuits for computation-intensive applications

Neil Linton Miller

Reconfigurable integrated circuits for computation-intensive applications

by Neil Linton Miller

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Published by University of Birmingham in Birmingham .
Written in English


Edition Notes

Thesis (Ph.D.) - University of Birmingham, School of Electronic and Electrical Engineering, Faculty of Engineering.

Statementby Neil Linton Miller.
ID Numbers
Open LibraryOL18085297M

Application Specific Integrated Circuits (ASICs); costs for ASICs are high as well as algorithms should be verified and optimized before realization. The contemporary field programmable gate arrays (FPGAs) have emerged as a platform for efficient hardware implementation of such complex and computation intensive algorithms. Numerous efforts of. The paper entitled “FlowMap: An Optimal Technology Mapping Algorithm for Delay Optimization in Lookup-Table Based FPGA Designs” by Prof. Jason Cong and his former PhD student Dr. Eugene Ding published in IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, , was inducted to the inaugural class of the Hall of.

A book accompanies the epX "FPGA Workout". Softcover, pp., illustrations, and index. ISBN This book shows how to use FPGAs to build digital systems ranging from simple combinational logic up to a 4-bit microcontroller. All PLDasm examples in the book can be downloaded into the epX31 and tested. Books. G. Qu, M. Potkonjak, Intellectual Property Protection in VLSI Design Theory and Practice, Kluwer Publishing, ISBN , February J. Feng Sanford, S. Slijepcevic, M. Potkonjak, Localization in Wireless Networks: Foundations and Applications, Springer, ISBN , September Chip-Hong Chang, Miodrag Potkonjak, (Editors), Secure System Design and .

This book provides readers specializing in ultra-low power supply design for self-powered applications an invaluable reference on reconfigurable switched capacitor power converters. Coverage includes all aspects of switched capacitor power supply designs, from fundamentals, to reconfigurable power stages, and sophisticated controller. A method of producing a reconfigurable circuit device for running a computer program of moderate complexity such as multimedia processing. Code for the application is compiled into Control Flow Graphs representing distinct parts of the application to be run. (, ) From those Control Flow Graphs are extracted basic blocks (). The basic blocks are converted to Data Flow Graphs by a.


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Reconfigurable integrated circuits for computation-intensive applications by Neil Linton Miller Download PDF EPUB FB2

Morphosys: An integrated reconfigurable system for data-parallel and computation-intensive applications.

IEEE Transactions on Computers 49(5), Google Scholar Digital Library. Re-Configurable Mixed grain (ReCoM) is a novel Reconfigurable Compute Fabric (RCF) architecture based on a mixed-grain reconfigurable array which combines a RISC microprocessor and a reconfigurable hardware for computation-intensive applications.

MorphoSys is a reconfigurable architecture for computation intensive applications. It combines both coarse grain and fine grain reconfiguration techniques to optimize hardware, based on the. Reconfigurable computing is the application of adaptable fabrics to solve computational problems, often taking advantage the flexibility available in the fabric to produce problem-specific.

Abstract. MorphoSys is a reconfigurable architecture for computation intensive applications. It combines both coarse grain and fine grain reconfiguration techniques to optimize hardware, based on the application by: 6.

Computers, an international, peer-reviewed Open Access journal. Dear Colleagues, Reconfigurable computing bridges the gap between general purpose computers, in which function is determined by software, and Application Specific Integrated Circuits (ASICs), in which single specific functions are built using custom hardware.

FPGA approach The most obvious way to design algorithm accelerator IP is an FPGA block. The approach is published at least in [1,2]. LSI logic has also tried to make commercial application such that the FPGA block can be implemented to their RapidChip platform [3] but with no great success.

A Framework for Reconfigurable Computing: Task Scheduling and Context Management - A Summary. (with R. Maestre, M. Fernandez, R. Hermida, N. Bagherzadeh, H. Singh). IEEE Circuits and Systems, Volume 2, Number 4, Fourth Quarter Pages IEEEXPLORE; Automatic Compilation to a Coarse-grained Reconfigurable System-on-Chip.

Compared with some selected designs based on programmable architectures and dedicated application-specified integrated circuits (ASICs), we show that following the proposed approach, the rASIP-based multimode MIMO detection, is about times more efficient than the programmable architectures, and it approaches the throughput performance.

While other books cover fragments of FPGA technology or applications this is the first to focus exclusively and comprehensively on FPGA use for embedded book to focus exclusively and comprehensively on FPGA use in embedded designsWorld-renowned best-selling authorWill help engineers get familiar and succeed with this new.

Dedicated tools for placing and routing data flow graphs extracted from computation-intensive applications are basic requirements for developing applications on a large-scale reconfigurable data-path processor (LSRDP) implemented by superconductivity circuits.

Using an alternative technology instead of CMOS circuits for implementing such hardware entails considering particular constraints and. The book also describes hierarchical reconfigurable computing arrays consisting of two reconfigurable computing blocks with two types of communication structure. The two computing blocks share critical resources, offering an efficient communication interface between them and reducing the overall area.

A framework for reconfigurable computing: task scheduling and context management IEEE Circuits and Systems Magazine, Volume: 2 Issue: 2, Second Quarter ,Page(s): 55. References [1] Todman T J, Constantinides G A, Wilton S J E, et al.

Reconfigurable computing: architectures and design methods. IEE Proc-Comput Digit Tech,CrossRef Google Scholar [2] Singh H, Lee M-H, Lu G, et al.

MorphoSys: an integrated reconfigurable system for data-parallel and computation- intensive by: 3. Data parallelism is parallelization across multiple processors in parallel computing environments. It focuses on distributing the data across different nodes, which operate on the data in parallel.

It can be applied on regular data structures like arrays and matrices by working on each element in parallel. The following topics are dealt with: integrated circuit design; integrated circuit testing; design automation; design for testability for SoCs; performance modelling and synthesis of analogue/mixed-signal circuits; system level mapping and simulation; IP designs for media processing; microprocessors in era of terascale integration; statistical/nonlinear analysis and verification for analogue.

Resource management and task partitioning and scheduling on a run-time reconfigurable embedded system time-to-market make it a popular technology for embedded system development in contrast to the application specific integrated circuits (ASICs).

Several streaming applications such as fast Fourier transform (FFT), discrete Cosine transform Cited by: 7. Run-time reconfigurable systems for digital signal processing applications: a survey "A Time-Multiplexed FPGA Architecture for Logic Emulation," in Proceedings of the IEEE Custom Integrated Circuits Conference,pp.

Many computation-intensive iterative or recursive applications commonly found in digital signal processing Cited by: Reconfigurable Computing in Systems-on-Chip”, Proceedings, Journal Papers: D.

Rossi et al., ”A Heterogeneous Digital Signal Processor for Dynamically Reconfigurable Computing”, JSSC IEEE Journal of Solid-State Circuits, File Size: 1MB. This paper introduces a novel architecture for next-generation adaptive computing systems, which we term 3D-SoftChip.

The 3D-SoftChip is a 3-dimensional (3D) vertically integrated adaptive computing system combining state-of-the-art processing and 3D interconnection by: 1.

classical mathematical applications, they are less effective in the modeling of large-scale digital circuits and systems. Domain-Specific Systems: Several systems have been devel-oped for domain-specific applications, such as discrete signal transforms.

One such system, FFTW [20], targets code gener-ation for DFT-based computation.Congratulations to Dr. Zhe Chen for Receiving the Chancellor’s Award for Postdoctoral Research Zhe was selected as one of eight recipients of the Chancellor’s Award for Postdoctoral Research. This award was established in to recognize the important contributions that postdoctoral scholars make to UCLA’s research mission.

Zhe devotes his postdoctoral research efforts.Summary []. The amount of embedded systems which are composed by multiple interconnected processing units (PU) is currently increasing, mainly because of two distinct facts: first, the need for spatial distribution of the subsystems in order to cope with the requirements of ubiquitous computing; and second, the limits of CMOS scaling, which also limit how much faster integrated circuits can.