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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Lee, D. Cheung, R.C.C. Villasenor, J.D. Luk, W. |
| Copyright Year | 2006 |
| Description | Author affiliation: Dept. of Electr. Eng., California Univ., Los Angeles, CA (Lee, D.) |
| Abstract | We present the design and implementation of a Gaussian random number generator (GRNG) via hierarchical segmentation. Gaussian samples are generated using the inversion method, which involves the evaluation of the inverse Gaussian cumulative distribution function (IGCDF). The IGCDF is highly nonlinear and is evaluated via piecewise polynomial approximations (splines) with a hierarchical segmentation scheme that involves uniform splines and splines with size varying by powers of two. This segmentation approach adapts the spline sizes according to the non-linearity of the function, allowing efficient evaluation of the IGCDF. Bit-widths of the fixed-point polynomial coefficients and arithmetic operators are optimized in an analytical manner to guarantee a precision accurate to one unit in the last place. Our architecture generates 16-bit Gaussian samples accurate to 8.2cr (standard deviations). A pipelined implementation on a Xilinx Virtex-4 XC4LX100-12 FPGA yields 371 MHz and occupies 543 slices, 2 block RAMs, and 2 DSP slices, generating one sample every clock cycle |
| Starting Page | 33 |
| Ending Page | 40 |
| File Size | 360499 |
| Page Count | 8 |
| File Format | |
| ISBN | 0780397282 |
| DOI | 10.1109/FPT.2006.270388 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2006-12-13 |
| Publisher Place | Thailand |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Hardware Random number generation Distribution functions Polynomials Application software Table lookup Educational institutions Fixed-point arithmetic Field programmable gate arrays Digital signal processing |
| Content Type | Text |
| Resource Type | Article |
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