Rui Duarte,


Stochastic computing has emerged as a computational paradigm that offers arithmetic operators with high-performance,
compact implementations and robust to errors by producing approximate results.
In stochastic computations, the data is encoded as pseudo-random bitstreams of 0s and 1s, which represent a number between 0 and 1 that is defined by the ratio of the number of 1s over the total number of bits.

In this talk Prof. Rui Duarte will introduce the basics of stochastic computing, along with its benefits, costs, and state-of-the-art.
Stochastic computing has been applied to a relatively limited set of applications which include DSP applications: Finite Impulse Response (FIR) and Infinite Impulse Response (IIR) filters, neuromorphic and bioinspired systems: binary synapses for low-power neuromorphic systems, and digital neurosynaptic network for neuromorphic chips to develop brain-like computational structures, decoding of Low-Density Parity Code (LDPC) codes, and Bayesian computing machines. Most of these applications are based on additions and multiplications, and are tolerant to some errors in their computations.


Date: 2016-Jul-05     Time: 14:30:00     Room: 336

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