Articles de revista
Enviaments recents
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The MAMe dataset: On the relevance of high resolution and variable shape image properties
(Springer, 2022-08)
Article
Accés obertThe mostcommon approach in image classification tasks is to resize all images in the dataset to a unique shape, while reducing their resolution to a size that makes experimentation at scale easier. This practice has benefits ... -
Can we trust undervolting in FPGA-based deep learning designs at harsh conditions?
(2022-05)
Article
Accés obertAs more Neural Networks on Field Programmable Gate Arrays (FPGAs) are used in a wider context, the importance of power efficiency increases. However, the focus on power should never compromise application accuracy. One ... -
Towards EXtreme scale technologies and accelerators for euROhpc hw/Sw supercomputing applications for exascale: The TEXTAROSSA approach
(2022-11)
Article
Accés restringit per política de l'editorialIn the near future, Exascale systems will need to bridge three technology gaps to achieve high performance while remaining under tight power constraints: energy efficiency and thermal control; extreme computation efficiency ... -
Vector extensions in COTS processors to increase guaranteed performance in real-time systems
(2023-03)
Article
Accés obertThe need for increased application performance in high-integrity systems like those in avionics is on the rise as software continues to implement more complex functionalities. The prevalent computing solution for future ... -
A closer look at referring expressions for video object segmentation
(2023-01)
Article
Accés obertThe task of Language-guided Video Object Segmentation (LVOS) aims at generating binary masks for an object referred by a linguistic expression. When this expression unambiguously describes an object in the scene, it is ... -
The holistic perspective of the INCISIVE Project: artificial intelligence in screening mammography
(Multidisciplinary Digital Publishing Institute, 2022-08-31)
Article
Accés obertFinding new ways to cost-effectively facilitate population screening and improve cancer diagnoses at an early stage supported by data-driven AI models provides unprecedented opportunities to reduce cancer related mortality. ... -
A BF16 FMA is all you need for DNN training
(Institute of Electrical and Electronics Engineers (IEEE), 2022-07-01)
Article
Accés obertFused Multiply-Add (FMA) functional units constitute a fundamental hardware component to train Deep Neural Networks (DNNs). Its silicon area grows quadratically with the mantissa bit count of the computer number format, ... -
TunaOil: A tuning algorithm strategy for reservoir simulation workloads
(Elsevier, 2022-09)
Article
Accés restringit per política de l'editorialReservoir simulations for petroleum fields and seismic imaging are known as the most demanding workloads for high-performance computing (HPC) in the oil and gas (O&G) industry. The optimization of the simulator numerical ... -
Burst-aware predictive autoscaling for containerized microservices
(2022-05-01)
Article
Accés obertAutoscaling methods are used for cloud-hosted applications to dynamically scale the allocated resources for guaranteeing Quality-of-Service (QoS). The public-facing application serves dynamic workloads, which contain bursts ... -
A holistic scalability strategy for time series databases following cascading polyglot persistence
(Multidisciplinary Digital Publishing Institute (MDPI), 2022-08-18)
Article
Accés obertTime series databases aim to handle big amounts of data in a fast way, both when introducing new data to the system, and when retrieving it later on. However, depending on the scenario in which these databases participate, ... -
A security model for randomization-based protected caches
(2022)
Article
Accés obertCache side-channel attacks allow adversaries to learn sensitive information about co-running processes by using only access latency measures and cache contention. This vulnerability has been shown to lead to several ... -
Fine-grain task-parallel algorithms for matrix factorizations and inversion on many-threaded CPUs
(Wiley (John Wiley & Sons), 2023-12)
Article
Accés obertWe extend a two-level task partitioning previously applied to the inversion of dense matrices via Gauss–Jordan elimination to the more challenging QR factorization as well as the initial orthogonal reduction to band form ...