scholarly journals High-Performance Timing-Driven Rank Filter

VLSI Design ◽  
2008 ◽  
Vol 2008 ◽  
pp. 1-6 ◽  
Author(s):  
Péter Szántó ◽  
Gábor Szedő ◽  
Béla Fehér
Keyword(s):  
Image Processing ◽  
High Performance ◽  
Fpga Implementation ◽  
Operating Frequency ◽  
Filter Structure ◽  
And Performance ◽  
Performance Timing

This paper presents an FPGA implementation of a high-performance rank filter for video and image processing. The architecture exploits the features of current FPGAs and offers tradeoffs between complexity and performance. By maximizing the operating frequency, the complexity of the filter structure can be considerably reduced compared to previous 2D architectures.

OpenSPARC Processor Evaluation Using Virtex-5 FPGA and High Performance Embedded Computing (HPEC) Benchmark Suite

2014 ◽  
Vol 5 (1) ◽  
pp. 61-74
Author(s):  
Khaldoon Moosa Mhaidat ◽  
Ahmad Baset ◽  
Osama Al-Khaleel
Keyword(s):  
Performance Evaluation ◽  
Embedded System ◽  
Open Source ◽  
High Performance ◽  
Fpga Implementation ◽  
Embedded Computing ◽  
Design Change ◽  
Benchmark Suite ◽  
And Performance ◽  
The Impact

OpenSPARC is the only 64-bit Chip Multi-Threaded (CMT) processor that has ever been made open-source and non-proprietary. In this paper, the authors present an FPGA-based embedded system and methodology for prototyping and validating the OpenSPARC processor. They also present synthesis and performance evaluation results for OpenSPARC on a Virtex-5 FPGA platform. Light version of OpenSolaris was successfully booted on the platform, and the High Performance Embedded Computing (HPEC) benchmark suite was used to evaluate the performance. Xilinx ISE suite was used for synthesis, implementation, and chip programming. The down-scaled FPGA implementation of the processor runs at 81.3 MHz. The whole processor would require about 176453 Virtex-5 logic slices. To the best of their knowledge, they are the first researchers to report detailed FPGA synthesis results for OpenSPARC and evaluate its performance on FPGA using the HPEC benchmarks. Other researchers may find these results useful when comparing with other processors or studying the impact of a certain design change or addition on performance and cost.

Trace nanoanalysis

1994 ◽  
Vol 52 ◽  
pp. 940-941
Author(s):  
D. E. Newbury ◽  
R. D. Leapman
Keyword(s):  
High Performance ◽  
Secondary Ion Mass Spectrometry ◽  
Detection Efficiency ◽  
Volume Element ◽  
And Performance ◽  
Trace Constituents ◽  
Secondary Ion ◽  
Concentration Levels ◽  
Structure Properties

Trace constituents, which can be very loosely defined as those present at concentration levels below 1 percent, often exert influence on structure, properties, and performance far greater than what might be estimated from their proportion alone. Defining the role of trace constituents in the microstructure, or indeed even determining their location, makes great demands on the available array of microanalytical tools. These demands become increasingly more challenging as the dimensions of the volume element to be probed become smaller. For example, a cubic volume element of silicon with an edge dimension of 1 micrometer contains approximately 5×1010 atoms. High performance secondary ion mass spectrometry (SIMS) can be used to measure trace constituents to levels of hundreds of parts per billion from such a volume element (e. g., detection of at least 100 atoms to give 10% reproducibility with an overall detection efficiency of 1%, considering ionization, transmission, and counting).

Matlab and Parallel Computing

2012 ◽  
Vol 17 (4) ◽  
pp. 207-216 ◽  
Author(s):  
Magdalena Szymczyk ◽  
Piotr Szymczyk
Keyword(s):  
Image Processing ◽  
Signal Processing ◽  
Parallel Computing ◽  
Distributed Computing ◽  
Control Systems ◽  
High Performance ◽  
Parallel Applications ◽  
Process Simulations ◽  
Key Features ◽  
Financial Process

Abstract The MATLAB is a technical computing language used in a variety of fields, such as control systems, image and signal processing, visualization, financial process simulations in an easy-to-use environment. MATLAB offers "toolboxes" which are specialized libraries for variety scientific domains, and a simplified interface to high-performance libraries (LAPACK, BLAS, FFTW too). Now MATLAB is enriched by the possibility of parallel computing with the Parallel Computing ToolboxTM and MATLAB Distributed Computing ServerTM. In this article we present some of the key features of MATLAB parallel applications focused on using GPU processors for image processing.

A High Performance Image Processing Unit for On-orbit Servicing

2006 ◽  
Author(s):  
Hiroshi Yamamoto ◽  
Yasufumi Nagai ◽  
Shinichi Kimura ◽  
Hiroshi Takahashi ◽  
Satoko Mizumoto ◽  
...  
Keyword(s):  
Image Processing ◽  
High Performance ◽  
Processing Unit
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