Listar ICC_Articles por título
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An study of the effect of process malleability in the energy efficiency on GPU‑based clusters
Springer (2019-10-21)The adoption of graphic processor units (GPU) in high-performance computing (HPC) infrastructures determines, in many cases, the energy consumption of those facilities. For this reason, an efficient management and ... -
Analysis of the process of representing clinical statements for decision-support applications: a comparison of openEHR archetypes and HL7 virtual medical record
Springer (2016)Delivering patient-specific decision-support based on computer-interpretable guidelines (CIGs) requires mapping CIG clinical statements (data items, clinical recommendations) into patients’ data. This is most effectively ...
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Analysis of Threading Libraries for High Performance Computing
IEEE (2020-01-30)With the appearance of multi-many core machines, applications and runtime systems evolved in order to exploit the new on-node concurrency that brought new software paradigms. POSIX threads (Pthreads) was widely-adopted for ...
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Analytical Modeling is Enough for High Performance BLIS
ACM (2016-09)We show how the BLAS-like Library Instantiation Software (BLIS) framework, which provides a more detailed layering of the GotoBLAS (now maintained as OpenBLAS) implementation, allows one to analytically determine tuning ...
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Analyzing the impact of the MPI allreduce in distributed training of convolutional neural networks
Springer (2022-01-10)For many distributed applications, data communication poses an important bottleneck from the points of view of performance and energy consumption. As more cores are integrated per node, in general the global performance ...
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Anomaly detection based on Artificial Intelligence of Things: A Systematic Literature Mapping
Elsevier (2024-04-01)Advanced Machine Learning (ML) algorithms can be applied using Edge Computing (EC) to detect anomalies, which is the basis of Artificial Intelligence of Things (AIoT). EC has emerged as a solution for processing and analysing ...
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Antecedents of Behavioral Intention to Use Mobile Telecommunication Services: Effects of Corporate Social Responsibility and Technology Acceptance
MDPI (2015-08)The concepts of corporate social responsibility (CSR) and user experience have been identified as core determinants of the success of service providers. Accordingly, practitioners and researchers have investigated the ...
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Application of Multi-core and GPU Architectures on Signal Processing: Case Studies
Universidad Politécnica de Valencia (2010)In this article part of the techniques and developments we are carrying out within the INCO2 group are reported. Results follow the interdisciplinary approach with which we tackle signal processing applications. Chosen ...
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Architecture-Aware Con guration and Scheduling of
Matrix Multiplication on
Asymmetric Multicore Processors
Springer US (2016-09)Asymmetric multicore processors (AMPs) have recently emerged as an appealing technology for severely energy-constrained environments, especially in mobile appliances where heterogeneity in applications is mainstream. ...
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Are our dense linear algebra libraries energy-friendly?. Time–power–energy trade-offs in BLAS and LAPACK
Springer Berlin Heidelberg (2015-05)In this paper we conduct a detailed analysis of the sources of power dissipation and energy consumption during the execution of current dense linear algebra kernels on multicore processors, binding these two metrics together ... -
Argobots: A Lightweight Low-Level Threading and Tasking Framework
IEEE (2017-10)In the past few decades, a number of user-level threading and tasking models have been proposed in the literature to address the shortcomings of OS-level threads, primarily with respect to cost and flexibility. Current ...
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Arquitecture-aware optimization of an hevc decoder on asymmetric multicore processors
Springer Verlag (2016-05)Low-power asymmetric multicore processors (AMPs) have attracted considerable attention due to their appealing performance/power ratio for energy-constrained environments. However, these processors pose a significant ...
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Assessing Power Monitoring Approaches for Energy and Power Analysis of Computers
Elsevier (2014-06)Large-scale distributed systems (e.g., datacenters, HPC systems, clouds, large-scale networks, etc.) consume and will consume enormous amounts of energy. Therefore, accurately monitoring the power dissipation and energy ...
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Assessing the impact of the CPU power-saving modes on the task-parallel solution of sparse linear systems
Springer US (2014)We investigate the benefits that an energyaware implementation of the runtime in charge of the concurrent execution of ILUPACK —a sophisticated preconditioned iterative solver for sparse linear systems— produces on the ...
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Assessing the Performance-Energy Balance of Graphics Processors for Spectral Unmixing
IEEE (2014)Remotely sensed hyperspectral imaging missions are often limited by onboard power restrictions while, simultaneously, require high computing power in order to address applications with relevant constraints in terms of ...
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Assisting therapists in assessing small animal phobias by computer analysis of video-recorded sessions
Springer (2017)Behavioural Avoidance Tests (BATs) are commonly used for assessing phobias. While easy to deploy, these tests have some practical difficulties. For instance, therapists have to make distance estimations that are hard to ...
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ATM-based analysis and recognition of handball team activities
Elsevier (2015)In this paper, a new methodology based on the Author Topic Model (ATM) method is presented to perform team activity recognition and analysis in handball videos. Instead of using players׳ trajectories we just rely on low ...
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Augmented EHR: Enrichment of EHR with Contents from Semantic Web Sources
MDPI (Basel, Switzerland) (2021-04-27)This work presents methods to combine data from the Semantic Web into existing EHRs, leading to an augmented EHR. An existing EHR extract is augmented by combining it with additional information from external sources, ...
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Balancing task- and data-level parallelism to improve performance and energy consumption of matrix computations on the Intel Xeon Phi
Elsevier (2015-08)The emergence of new manycore architectures, such as the Intel Xeon Phi, poses new challenges in how to adapt existing libraries and applications to this type of systems. In particular, the exploitation of manycore ...
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BestOf: an online implementation selector for the training and inference of deep neural networks
Springer (2022-05-20)Tuning and optimising the operations executed in deep learning frameworks is a fundamental task in accelerating the processing of deep neural networks (DNNs). However, this optimisation usually requires extensive manual ...
