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Showing 1 to 2 of 2 for “"Non-Uniform Random Number Generation"”.

  1. Domain-Specific Analog Physical Computing Accelerators

    … as motivation for the fast and efficient generation of non-uniform random variates in hardware. Using simulations and real-world empirical measurements this dissertation shows that software non-uniform random number generation is slow and inefficient, and discusses why this is the case. …

    cambridge Repository record for Domain-Specific Analog Physical Computing Accelerators (opens in a new tab)

  2. Analogue-Domain Machine Learning Computations Exploiting 2D Materials Properties

    … has resulted in a significant increase in the number of ML accelerators. However, many of these accelerators rely on conventional CMOS technology and so are subject to the same issues of scalability, a limitation known as the *accelerator wall*. Thus, new materials and devices are of interest. …

    cambridge Repository record for Analogue-Domain Machine Learning Computations Exploiting 2D Materials Properties (opens in a new tab)