ARCO - Microarquitectura i Compiladors
Les activitats de recerca del grup ARCO es centren en l'area de arquitectura de computadors, compiladors i el processament en paral·lel, amb especial èmfasi en la microarquitectura i les tècniques de generació de codi per a sistemes de computació fiables i eficients energèticament. Un dels seus principals enfocaments actuals és sobre sistemes de computació intel·ligents, on l'objectiu és dissenyar noves arquitectures per a l'aprenentatge automàtic, la visió per computador i el processament del llenguatge. L'altre enfocament principal és en els processadors gràfics tant per a càrregues de treball de propòsit general com per a aplicacions gràfiques.
El grup està format per professors i estudiants de la Universitat Politècnica de Catalunya, la Universitat de Múrcia i la Universitat Rovira i Virgili. El grup té un llarg historial de publicacions científiques, amb més de 500 articles d'investigació, i transferències de tecnologia, amb més de 50 patents.
Las actividades de investigación del grupo ARCO se centran en el área de arquitectura de computadores, compiladores y el procesamiento en paralelo, con especial énfasis en la microarquitectura y las técnicas de generación de código para sistemas de computación fiables y eficientes energéticamente. Uno de sus principales enfoques actuales es sobre sistemas de computación inteligentes, donde el objetivo es diseñar nuevas arquitecturas para el aprendizaje automático, la visión por computador y el procesamiento del lenguaje. El otro enfoque principal es en los procesadores gráficos tanto para cargas de trabajo de propósito general como para aplicaciones gráficas.
El grupo está formado por profesores y estudiantes de la Universidad Politécnica de Catalunya, la Universidad de Murcia y la Universidad Rovira i Virgili. El grupo tiene un largo historial de publicaciones científicas, con más de 500 artículos de investigación, y transferencias de tecnología, con más de 50 patentes.
The research activities of the ARCO group focus on computer architecture, compilers and parallel processing, with special emphasis on microarchitecture and code generation techniques for energy-efficient and reliable computing systems. One of its main current focuses is on intelligent computing systems, where the goal is to devise novel architectures for machine learning, computer vision, language processing. The other major focus is on graphics processors both for general-purpose and graphics workloads.
The group consists of faculty members and students from Polytechnic University of Catalonia, University of Murcia and Rovira i Virgili University. The group has a long track record of scientific publications, with more than 500 research papers, and technology transfers, with more than 50 patents.
The research activities of the ARCO group focus on computer architecture, compilers and parallel processing, with special emphasis on microarchitecture and code generation techniques for energy-efficient and reliable computing systems. One of its main current focuses is on intelligent computing systems, where the goal is to devise novel architectures for machine learning, computer vision, language processing. The other major focus is on graphics processors both for general-purpose and graphics workloads.
The group consists of faculty members and students from Polytechnic University of Catalonia, University of Murcia and Rovira i Virgili University. The group has a long track record of scientific publications, with more than 500 research papers, and technology transfers, with more than 50 patents.
Collections in this community
-
Articles de revista [55]
-
Reports de recerca [11]
Recent Submissions
-
Trends in processor architecture
(Springer, 2019-01-01)
Part of book or chapter of book
Open AccessThis chapter presents an overview of the main trends in processor architecture. It starts with an analysis of the past evolution of processors and the main driving forces behind it, and then it focuses on a description of ... -
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 ... -
LAWS: Locality-AWare Scheme for automatic speech recognition
(Institute of Electrical and Electronics Engineers (IEEE), 2020-08-01)
Article
Open AccessAutomatic Speech Recognition (ASR) systems are changing the way people interact with different applications on mobile devices. Fulfilling such user-interactivity requires not only a highly accurate, large-vocabulary ... -
Design and evaluation of an ultra low-power human-quality speech recognition system
(2020-11)
Article
Open AccessAutomatic Speech Recognition (ASR) has experienced a dramatic evolution since pioneer development of Bell Lab’s single-digit recognizer more than 50 years ago. Current ASR systems have taken advantage of the tremendous ... -
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. ... -
Tendencias en la microarquitectura de los procesadores
(Asociación de Técnicos de Informática, 2000-05)
Article
Open AccessEn este artículo se revisa la microarquitectura de los procesadores actuales. Seguidamente de presentan las principales expectativas en la evolución de la tecnología. A continuación de destacan las principales limitaciones ... -
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 ... -
Multi-objective interior design optimization method based on sustainability concepts for post-disaster temporary housing units
(2020-04)
Article
Restricted access - publisher's policyTemporary housing units (THUs), which are provided after disasters, are crucial in terms of sustainability pillars (economic, social, and environmental). In general, THUs, which are regular houses with minimum space and ... -
Neuron-level fuzzy memoization in RNNs
(Association for Computing Machinery (ACM), 2019)
Conference report
Open AccessRecurrent Neural Networks (RNNs) are a key technology for applications such as automatic speech recognition or machine translation. Unlike conventional feed-forward DNNs, RNNs remember past information to improve the ... -
Leveraging run-time feedback for efficient ASR acceleration
(Institute of Electrical and Electronics Engineers (IEEE), 2019)
Conference report
Open AccessIn this work, we propose Locality-AWare-Scheme (LAWS) for an Automatic Speech Recognition (ASR) accelerator in order to significantly reduce its energy consumption and memory requirements, by leveraging the locality among ... -
SCU: a GPU stream compaction unit for graph processing
(Association for Computing Machinery (ACM), 2019)
Conference report
Restricted access - publisher's policyGraph processing algorithms are key in many emerging applications in areas such as machine learning and data analytics. Although the processing of large scale graphs exhibits a high degree of parallelism, the memory access ... -
A low-power, high-performance speech recognition accelerator
(Institute of Electrical and Electronics Engineers (IEEE), 2019-12-01)
Article
Open AccessAutomatic Speech Recognition (ASR) is becoming increasingly ubiquitous, especially in the mobile segment. Fast and accurate ASR comes at high energy cost, not being affordable for the tiny power-budgeted mobile devices. ...
RSS 1.0