Ponències/Comunicacions de congressos
Recent Submissions
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Sliding window support for image processing in autonomous vehicles
(2022)
Conference report
Open AccessCamera-based autonomous driving extensively ma-nipulates images for object detection, object tracking, or camera-based localization tasks. Therefore, efficient and fast image processing is crucial in those systems. ... -
DTexL: Decoupled raster pipeline for texture locality
(Institute of Electrical and Electronics Engineers (IEEE), 2022)
Conference report
Open AccessContemporary GPU architectures have multiple shader cores and a scheduler that distributes work (threads) among them, focusing on load balancing. These load balancing techniques favor thread distributions that are detrimental ... -
A programmable accelerator for streaming automatic speech recognition on edge devices
(2022)
Conference report
Open AccessAutomatic Speech Recognition (ASR) is quickly becoming a mainstream technology, mainly driven by the outstanding accuracy achieved by modern systems based on machine learning. However, these systems often require billions ... -
XFeatur: Hardware feature extraction for DNN auto-tuning
(Institute of Electrical and Electronics Engineers (IEEE), 2022)
Conference report
Open AccessIn this work, we extend the auto-tuning process of the state-of-the-art TVM framework with XFeatur; a tool that extracts new meaningful hardware-related features that improve the quality of the representation of the search ... -
MEGsim: A Novel methodology for efficient simulation of graphics workloads in GPUs
(Institute of Electrical and Electronics Engineers (IEEE), 2022)
Conference report
Open AccessAn important drawback of cycle-accurate microarchitectural simulators is that they are several orders of magnitude slower than the system they model. This becomes an important issue when simulations have to be repeated ... -
DTM-NUCA: dynamic texture mapping-NUCA for energy-efficient graphics rendering
(Institute of Electrical and Electronics Engineers (IEEE), 2022)
Conference report
Open AccessModern mobile GPUs integrate an increasing number of shader cores to speedup the execution of graphics workloads. Each core integrates a private Texture Cache to apply texturing effects on objects, which is backed-up by a ... -
TCOR: a tile cache with optimal replacement
(Institute of Electrical and Electronics Engineers (IEEE), 2022)
Conference report
Open AccessCache Replacement Policies are known to have an important impact on hit rates. The OPT replacement policy [27] has been formally proven as optimal for minimizing misses. Due to its need to look far ahead for future memory ... -
Improving the energy efficiency of the graphics pipeline by reducing overshading
(2021)
Conference report
Open AccessThe most common task of GPUs is to render images in real time. When rendering a 3D scene, a key step is determining which parts of every object are visible in the final image. There are different approaches to solve the ... -
A low-power hardware accelerator for ORB feature extraction in self-driving cars
(Institute of Electrical and Electronics Engineers (IEEE), 2021)
Conference report
Open AccessSimultaneous Localization And Mapping (SLAM) is a key component for autonomous navigation. SLAM consists of building and creating a map of an unknown environment while keeping track of the exploring agent's location within ... -
Boosting LSTM performance through dynamic precision selection
(Institute of Electrical and Electronics Engineers (IEEE), 2020)
Conference report
Open AccessThe use of low numerical precision is a fundamental optimization included in modern accelerators for Deep Neural Networks (DNNs). The number of bits of the numerical representation is set to the minimum precision that is ... -
Demystifying power and performance bottlenecks in autonomous driving systems
(Institute of Electrical and Electronics Engineers (IEEE), 2020)
Conference report
Open AccessAutonomous Vehicles (AVs) have the potential to radically change the automotive industry. However, computing solutions for AVs have to meet severe performance and power constraints to guarantee a safe driving experience. ... -
DRAM errors in the field: a statistical approach
(Association for Computing Machinery (ACM), 2019)
Conference report
Open AccessThis paper summarizes our two-year study of corrected and uncor-rected errors on the MareNostrum 3 supercomputer, covering 2000 billion MB-hours of DRAM in the field. The study analyzes 4.5 million corrected and 71 uncorrected ...
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