Publication

Fast Prototyping of Reconfigurable Architectures: An Estimation and Exploration Methodology from System-Level Specifications

2003
Conference Papers

Abstract

Rapid evaluation and design space exploration at the algorithmic level are important issues in the design cycle. In this paper we propose an original area vs delay estimation methodology that targets reconfigurable architectures. Two main steps compose the estimation flow: i) the structural estimation which is technological independent and performs an automatic design space exploration and ii) the physical estimation which performs a technologic mapping to the target reconfigurable architecture. Experiments conducted on Xilinx (XC4000, Virtex) and Altera (Flex10K, Apex) components for a 2D DWT and a speech coder lead to an average error of about 10 % for temporal values and 18 % for area estimations.

Official source

https://infoscience.epfl.ch/entities/publication/cd573b78-377c-4891-983f-1b99f1177063

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2003
Conference Papers

Abstract

Official source

https://infoscience.epfl.ch/entities/publication/cd573b78-377c-4891-983f-1b99f1177063

About this result

Related concepts (32)

Estimation theory

Estimation theory is a branch of statistics that deals with estimating the values of parameters based on measured empirical data that has a random component. The parameters describe an underlying physical setting in such a way that their value affects the distribution of the measured data. An estimator attempts to approximate the unknown parameters using the measurements.

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Space exploration is the use of astronomy and space technology to explore outer space. While the exploration of space is carried out mainly by astronomers with telescopes, its physical exploration is conducted both by uncrewed robotic space probes and human spaceflight. Space exploration, like its classical form astronomy, is one of the main sources for space science. While the observation of objects in space, known as astronomy, predates reliable recorded history, it was the development of large and relatively efficient rockets during the mid-twentieth century that allowed physical space exploration to become a reality.

Maximum likelihood estimation

In statistics, maximum likelihood estimation (MLE) is a method of estimating the parameters of an assumed probability distribution, given some observed data. This is achieved by maximizing a likelihood function so that, under the assumed statistical model, the observed data is most probable. The point in the parameter space that maximizes the likelihood function is called the maximum likelihood estimate. The logic of maximum likelihood is both intuitive and flexible, and as such the method has become a dominant means of statistical inference.