Statistical analysis of extreme values
Statistical analysis of extreme values
A methodology and design environment for DSP ASIC fixed point refinement
DATE '99 Proceedings of the conference on Design, automation and test in Europe
Proceedings of the 40th annual Design Automation Conference
Automatic Evaluation of the Accuracy of Fixed-Point Algorithms
Proceedings of the conference on Design, automation and test in Europe
Perturbation Analysis for Word-length Optimization
FCCM '03 Proceedings of the 11th Annual IEEE Symposium on Field-Programmable Custom Computing Machines
Refinement of Mixed-Signal Systems with Affine Arithmetic
Proceedings of the conference on Design, automation and test in Europe - Volume 1
Synthesis And Optimization Of DSP Algorithms
Synthesis And Optimization Of DSP Algorithms
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
Unifying Bit-Width Optimisation for Fixed-Point and Floating-Point Designs
FCCM '04 Proceedings of the 12th Annual IEEE Symposium on Field-Programmable Custom Computing Machines
Optimum and heuristic synthesis of multiple word-length architectures
IEEE Transactions on Very Large Scale Integration (VLSI) Systems
MiniBit: bit-width optimization via affine arithmetic
Proceedings of the 42nd annual Design Automation Conference
Word-length optimization for differentiable nonlinear systems
ACM Transactions on Design Automation of Electronic Systems (TODAES)
Wordlength optimization for linear digital signal processing
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
Analysis of mixed-signal systems with affine arithmetic
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
Accuracy-Guaranteed Bit-Width Optimization
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
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In the high level synthesis from languages such as C, word-length of variables is one of the key issues on VLSI design optimization. This paper proposes a new automated approach -- OWL, for optimizing word-lengths of fixed-point designs. OWL is based on static analysis via extreme value theory and affine/interval arithmetic. It describes methods to minimize both the integer and fraction parts of fixed-point signals. For range analysis, it employs a semi-analytical approach with extreme value distribution model to identify the number of integer bits, while for precision analysis, it uses AAIA error model to find the optimum number of fraction bits. The reduction percentage of word-length is over 60% in integer part and over 45% in fraction part.