Browsing by Subject "Approximate Computing"
Now showing items 1-5 of 5
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(2017-05-09)With advances in technology, future multicore systems scaled to 100s and 1000s of cores/accelerators are being touted as an effective solution for extracting huge performance gains using parallel programming paradigms. ...
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(2019-04-04)The dawn of the big data era has led to the inception of new and creative compute paradigms that utilize heterogeneity, specialization, processor-in-memory and approximation due to the high demand for memory bandwidth and ...
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Efficient and Highly Scalable Techniques to Accelerate Bayesian Markov Decision Process Computation (2019-11-14)Markov Decision Process (MDP) is a kernel model for solving sequential decision making problems, when the system behaviour is stochastic. Bayesian Markov Decision Process (BMDP) can be applied in the special case in which ...
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(2015-08-19)This thesis presents a hardware design for recognizing speech using phoneme-level Hidden Markov Models (HMMs) and proposes two alternative designs using approximate computing techniques for area and energy optimizations. ...
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(2016-12-02)Approximate computing is a blooming field of research, which involves a compro- mise of an application’s accuracy to make it more efficient. It necessarily involves a deliberate effort to make an application imprecise in ...