An algorithm for converting floating-point computations to fixed-point in MATLAB based FPGA design
Proceedings of the 41st annual Design Automation Conference
Fast, Accurate Static Analysis for Fixed-Point Finite-Precision Effects in DSP Designs
Proceedings of the 2003 IEEE/ACM international conference on Computer-aided design
An Algorithm for Trading Off Quantization Error with Hardware Resources for MATLAB-Based FPGA Design
IEEE Transactions on Computers
ASP-DAC '06 Proceedings of the 2006 Asia and South Pacific Design Automation Conference
Reconfigurable hardware implementation of a phase-correlation stereoalgorithm
Machine Vision and Applications
Smart bit-width allocation for low power optimization in a systemc based ASIC design environment
Proceedings of the conference on Design, automation and test in Europe: Proceedings
RAT: a methodology for predicting performance in application design migration to FPGAs
HPRCTA '07 Proceedings of the 1st international workshop on High-performance reconfigurable computing technology and applications: held in conjunction with SC07
RAT: RC Amenability Test for Rapid Performance Prediction
ACM Transactions on Reconfigurable Technology and Systems (TRETS)
Reconfigurable Computing: The Theory and Practice of FPGA-Based Computation
Reconfigurable Computing: The Theory and Practice of FPGA-Based Computation
SQNR estimation of fixed-point DSP algorithms
EURASIP Journal on Advances in Signal Processing
Video-rate stereo depth measurement on programmable hardware
CVPR'03 Proceedings of the 2003 IEEE computer society conference on Computer vision and pattern recognition
| Hi-index | 0.00 |
Currently, few tools exist to aid the FPGA developer in translating an algorithm designed for a general-purpose-processor into one that is precision-optimized for FPGAs. This task requires extensive knowledge of both the algorithm and the target hardware. We present a design-timetool, Précis, which assists the developer in analyzing the precision requirements of algorithms specified in MATLAB. Through the combined use of simulation, user input, and program analysis, we demonstrate a methodology for precision analysis that can aid the developer in focusing their manual precision optimization efforts.