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Search · four archives
7 papers · ranked by Valyu relevance
Yuxi Pang, Shaonian Ma, Qiang Ji, Xian Zhao + 5 more
uncorrelated Brillouin random fiber lasing oscillation Authors: ['Yuxi Pang' 'Shaonian Ma' 'Qiang Ji' 'Xian Zhao' 'Zengguang Qin' 'Zhaojun Liu' 'Ping Lu' 'Xiaoyi Bao' 'Yanping Xu'] Abstract: Correlations existing between spectral components in multi-wavelength lasers have been the key challenge that hinders these laser…
Saleh Khalaj Monfared, Omid Hajihassani, Soroush Meghdadi Zanjani, Mohammadsina Kiarostami + 2 more
'Mohammadsina Kiarostami' 'Dara Rahmati' 'Saeid Gorgin'] Abstract—In this work a high throughput method for generating high quality Pseudo-Random Numbers using the bitslicing technique is proposed. In such technique, instead of the conventional row-major data representation, column-major data representation is employed…
Yawen Zhang, Runsheng Wang, Xinyue Zhang, Zherui Zhang + 4 more
'Zuodong Zhang' 'Yuan Wang' 'Ru Huang'] Abstract — Stochastic computing (SC) presents high error tolerance and low hardware cost, and has great potential in applications such as neural networks and image processing. However, the bitstream generator, which converts a binary number to bitstreams, occupies a large area…
Markus Manssen, Martin Weigel, Alexander K. Hartmann
- 3 Institut f¨ur Physik, Johannes Gutenberg-Universit¨at Mainz, Staudinger Weg 7, 55099 Mainz, Germany Abstract. High-performance streams of (pseudo) random numbers are crucial for the efficient implementation for countless stochastic algorithms, most importantly, Monte Carlo simulations and molecular dynamics…
Gleb Beliakov, Michael Johnstone, Douglas Creighton, Tim Wilkin
Pseudorandom number generators are required for many computational tasks, such as stochastic modelling and simulation. This paper investigates the serial CPU and parallel GPU implementation of a Linear Congruential Generator based on the binary representation of the normal number α2,3. We adapted two methods of modular…
Jonathan Passerat‐Palmbach, David R.C. Hill
Stochastic simulations are often sensitive to the source of randomness that characterizes the statistical quality of their results. Consequently, we need highly reliable Random Number Generators (RNGs) to feed such applications. Recent developments try to shrink the computation time by relying more and more General…
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This paper presents a simplified model of iterative compound optimization in drug/agrochemical discovery. Compounds are represented as binary strings, with project evolution simulated through random bit changes. The model reproduces key statistical features of real projects, including activity distributions and…