Departament d'Arquitectura de Computadors
Collections in this community
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Altres [3]
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Articles de revista [853]
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Capítols de llibre [71]
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Dataset [1]
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Llibres [9]
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Presentacions [4]
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Reports de recerca [174]
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Ressenyes [1]
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Working papers [1]
Recent Submissions
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Omega-Test: A predictive early-Z culling to improve the graphics pipeline energy-efficiency
(2021-06-09)
Article
Open AccessThe most common task of GPUs is to render images in real time. When rendering a 3D scene, a key step is to determine which parts of every object are visible in the final image. There are different approaches to solve the ... -
Pronóstico de capacidad efectiva y prestaciones en una cache no volátil de último nivel
(Sociedad de Arquitectura y Tecnología de Computadores (SARTECO), 2021)
Conference report
Open AccessLa degradación debida a las escrituras que sufren las bitcells implementadas con tecnologi´as de memoria no volátil (NVM) es uno de los principales escollos que se presentan a la hora de construir la cache de último nivel ... -
Results and achievements of the ALLIANCE Project: New network solutions for 5G and beyond
(Multidisciplinary Digital Publishing Institute, 2021-09-30)
Article
Open AccessLeaving the current 4th generation of mobile communications behind, 5G will represent a disruptive paradigm shift integrating 5G Radio Access Networks (RANs), ultra-high-capacity access/metro/core optical networks, and ... -
MoRS: An approximate fault modelling framework for reduced-voltage SRAMs
(2021)
Article
Open AccessOn-chip memory (usually based on Static RAMs-SRAMs) are crucial components for various computing devices including heterogeneous devices, e.g, GPUs, FPGAs, ASICs to achieve high performance. Modern workloads such as Deep ... -
Tools for embedding and assessing sustainable development goals in engineering education
(Multidisciplinary Digital Publishing Institute (MDPI), 2021-11-03)
Article
Open AccessThis paper presents three tools developed within the framework of the project EDINSOST2-SDG, aimed at embedding and assessing the Education for Sustainable Development (ESD) in Engineering curricula. ESD is promoted through ... -
Recurrent autoencoder with skip connections and exogenous variables for traffic forecasting
(Proceedings of Machine Learning Research (PMLR), 2020)
Conference lecture
Open AccessThe increasing complexity of mobility plus the growing population in cities, together with the importance of privacy when sharing data from vehicles or any device, makes traffic forecasting that uses data from infrastructure ... -
Microarchitectural design-space exploration of an in-order RISC-V processor in a 22nm CMOS technology
(European Network of Excellence on High Performance and Embedded Architecture and Compilation (HiPEAC), 2021)
Conference lecture
Open AccessThe purpose of this paper is to explore the trade-offs between IPC and maximum clock frequency in an in-order processor design. This work evaluates the impact on the performance and frequency of different pipeline ... -
An oracle for guiding large-scale model/hybrid parallel training of convolutional neural networks
(European Network of Excellence on High Performance and Embedded Architecture and Compilation (HiPEAC), 2021)
Conference lecture
Open AccessDeep Neural Network (DNN) frameworks use distributed training to enable faster time to convergence and alleviate memory capacity limitations when training large models and/or using high dimension inputs. With the steady ... -
PrioRAT: criticality-driven prioritization inside the on-chip memory hierarchy
(Springer Nature, 2021)
Conference report
Open AccessThe ever-increasing gap between the processor and main memory speeds requires careful utilization of the limited memory link. This is additionally emphasized for the case of memory-bound applications. Prioritization of ... -
On-device training of machine learning models on microcontrollers with a look at federated learning
(Association for Computing Machinery (ACM), 2021)
Conference report
Open AccessRecent progress in machine learning frameworks makes it now possible to run an inference with sophisticated machine learning models on tiny microcontrollers. Model training, however, is typically done separately on powerful ... -
How2Sign: A large-scale multimodal dataset for continuous American sign language
(Institute of Electrical and Electronics Engineers (IEEE), 2021)
Conference lecture
Open AccessOne of the factors that have hindered progress in the areas of sign language recognition, translation, and production is the absence of large annotated datasets. Towards this end, we introduce How2Sign, a multimodal and ... -
Characterizing self-driving tasks in general-purpose architectures
(European Network of Excellence on High Performance and Embedded Architecture and Compilation (HiPEAC), 2021-09-15)
Part of book or chapter of book
Open AccessAutonomous Vehicles (AVs) have the potential to radically change the automotive industry. How- ever, computing solutions for AVs have to meet severe performance constraints to guarantee a safe driving experience. Current ...
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