Ponències/Comunicacions de congressos
Recent Submissions
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Enhancing resource management through prediction-based policies
(Springer, 2020)
Conference report
Open AccessTask-based programming models are emerging as a promising alternative to make the most of multi-/many-core systems. These programming models rely on runtime systems, and their goal is to improve application performance by ... -
Rethinking cycle accurate DRAM simulation
(Association for Computing Machinery (ACM), 2019)
Conference report
Open AccessCycle accurate DRAM simulations have been the dominating architecture simulation model for DRAM for a long time. Although accurate, its poor simulation speed has not improved for years while a lot of other architecture ... -
Cross-modal neural sign language translation
(Association for Computing Machinery (ACM), 2019)
Conference report
Open AccessSign Language is the primary means of communication for the majority of the Deaf and hard-of-hearing communities. Current computational approaches in this general research area have focused specifically on sign language ... -
Analyzing the efficiency of hybrid codes
(Institute of Electrical and Electronics Engineers (IEEE), 2020)
Conference report
Open AccessHybrid parallelization may be the only path for most codes to use HPC systems on a very large scale. Even within a small scale, with an increasing number of cores per node, combining MPI with some shared memory thread-based ... -
Software-only triple diverse redundancy on GPUs for autonomous driving platforms
(Institute of Electrical and Electronics Engineers (IEEE), 2020)
Conference report
Open AccessAutonomous driving (AD) imposes the need for safe computations in high-performance computing (HPC) components such as GPUs, thus with capabilities to detect and recover from errors since a safe state may not exist anymore. ... -
An optimized predication execution for SIMD extensions
(Institute of Electrical and Electronics Engineers (IEEE), 2019)
Conference lecture
Open AccessVector processing is a widely used technique to improve performance and energy efficiency in modern processors. Most of them rely on predication to support divergence control. However, performance and energy consumption ... -
Checkpoint restart support for heterogeneous HPC applications
(Institute of Electrical and Electronics Engineers (IEEE), 2020)
Conference report
Open AccessAs we approach the era of exa-scale computing, fault tolerance is of growing importance. The increasing number of cores as well as the increased complexity of modern heterogenous systems result in substantial decrease of ... -
Twig: Multi-agent task management for colocated latency-critical cloud services
(Institute of Electrical and Electronics Engineers (IEEE), 2020)
Conference lecture
Open AccessMany of the important services running on data centres are latency-critical, time-varying, and demand strict usersatisfaction. Stringent tail-latency targets for colocated services and increasing system complexity make it ... -
Experiences on the characterization of parallel applications in embedded systems with Extrae/Paraver
(Association for Computing Machinery (ACM), 2020-08)
Conference lecture
Open AccessCutting-edge functionalities in embedded systems require the use of parallel architectures to meet their performance requirements. This imposes the introduction of a new layer in the software stacks of embedded systems: ... -
Tracing Hardware Monitors in the GR712RC Multicore Platform: Challenges and Lessons Learnt from a Space Case Study
(Schloss Dagstuhl – Leibniz-Zentrum für Informatik, 2020)
Conference lecture
Open AccessThe demand for increased computing performance is driving industry in critical-embedded systems (CES) domains, e.g. space, towards the use of multicores processors. Multicores, however, pose several challenges that must ... -
Building graph representations of deep vector embeddings
(Association for Computational Linguistics, 2017)
Conference lecture
Open AccessPatterns stored within pre-trained deep neural networks compose large and powerful descriptive languages that can be used for many different purposes. Typically, deep network representations are implemented within vector ... -
Full-network embedding in a multimodal embedding pipeline
(Association for Computational Linguistics, 2017)
Conference lecture
Open AccessThe current state-of-the-art for image annotation and image retrieval tasks is obtained through deep neural networks, which combine an image representation and a text representation into a shared embedding space. In this ...
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