Simultaneous Localization And Mapping (SLAM) is a key component of self-driving cars. We study ORB-SLAM, a SLAM state-of-the-art solution, and develop a hardware accelerator for a critical part of it: ORB feature extraction. ...

These days, working with deep neural networks goes hand in hand with the use of GPUs. Once a deep neural network has been trained for hours, days, or even weeks on a desktop GPU, it is deployed in the field where it runs ...

(English) The emergence of new applications such as autonomous machines (e.g., robots or self-driving cars) and XR (Extended Reality) promises to revolutionize how society interacts with technology in the rapidly advancing ...

System security is a prerequisite for efficient day-to-day transactions. As a consequence, Intrusion Detection Systems (IDS) are commonly used to provide an effective security ring to systems in a network. An IDS operates ...

Dynamically typed languages are ubiquitous in today's applications. These languages ease the task of programmers but introduce significant runtime overheads since variables are neither declared nor bound to a particular ...

L'objectiu d'aquesta tesi és proposar noves tècniques per al disseny de microarquitectures clúster superescalars eficients. Les microarquitectures clúster particionen el disseny de diversos components crítics del hardware ...

Deep Learning algorithms have been remarkably successful in applications such as Automatic Speech Recognition and Machine Translation. Thus, these kinds of applications are ubiquitous in our lives and are found in a plethora ...

In this thesis we have explored the co-designed paradigm to show alternative processor design points. Specifically, we have provided HW/SW mechanisms for instruction fusion, issue and commit for modern processors. We have ...