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Towards EXtreme scale technologies and accelerators for euROhpc hw/Sw supercomputing applications for exascale: The TEXTAROSSA approach
(2022-11)
Article
Restricted access - publisher's policyIn 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
Open AccessThe 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
Open AccessThe 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
Open AccessFinding 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
Open AccessFused 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
Restricted access - publisher's policyReservoir 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
Open AccessAutoscaling 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
Open AccessTime 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
Open AccessCache 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), 2022-04-07)
Article
Open AccessWe 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 ... -
Introducing polyglot-based data-flow awareness to time-series data stores
(Institute of Electrical and Electronics Engineers (IEEE), 2022-06-30)
Article
Open AccessThe rising interest in extracting value from data has led to a broad proliferation of monitoring infrastructures, most notably composed by sensors, intended to collect this new oil. Thus, gathering data has become fundamental ... -
Systematic detection of anomalous ionospheric perturbations above LEOs from GNSS POD Data including possible tsunami signatures
(Institute of Electrical and Electronics Engineers (IEEE), 2022-06-13)
Article
Open AccessIn this article, we show the capability of a global navigation satellite system (GNSS) precise orbit determination (POD) low Earth orbit (LEO) data to detect anomalous ionospheric disturbances in the spectral range of the ...
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