Listar ICC_Articles por título
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DVFS-control techniques for dense linear algebra operations on multi-core processors
Springer (2012-11)This paper analyzes the impact on power consumption of two DVFS-control strategies when applied to the execution of dense linear algebra operations on multi-core processors. The strategies considered here, prototyped as ... -
Dynamic reconfiguration of noniterative scientific applications A case study with HPG aligner
Springer (2018-09)Several studies have proved the benefits of job malleability, that is, the capacity of an application to adapt its parallelism to a dynamically changing number of allocated processors. The most remarkable advantages of ... -
Dynamic spawning of MPI processes applied to malleability
SAGE Publications (2023-05-29)Malleability allows computing facilities to adapt their workloads through resource management systems to maximize the throughput of the facility and the efficiency of the executed jobs. This technique is based on reconfiguring ... -
Eco-Friendly Education Facilities: The Case of a Public Education Building in South Korea
MDPI (2018-09-25)Since the importance and effects of national energy policies, plans, and roadmaps were presented in South Korea, the role of renewable energy resources has received great attention. Moreover, as there is significant reasoning ... -
Economic and environmental benefits of optimized hybrid renewable energy generation systems at Jeju National University, South Korea
MDPI (Multidisciplinary Digital Publishing Institute) (2016)In order to minimize the social and environmental concerns arising from the use of traditional energy resources such as fossil fuels and nuclear energy, the South Korean government has attempted to develop alternative ... -
Economic Feasibility of Renewable Electricity Generation Systems for Local Government Office: Evaluation of the Jeju Special Self-Governing Province in South Korea
MDPI (2017)While environmental and energy concerns have become global issues, the government of South Korea has made notable efforts and formulated plans for the diffusion of renewable energy generation facilities for the nation’s ... -
Effective use of congestion in complex networks
Elsevier (2018)In this paper, we introduce a congestion-aware routing protocol that selects the pathsaccording to the congestion of nodes in the network. The aim is twofold: on one hand, andin order to prevent the networks from collapsing, ... -
Effects of behavioral risk factors and social-environmental factors on non-communicable diseases in South Korea: a national survey approach
MDPI (2021-01-12)Non-communicable diseases (NCDs) are one of the major health threats in the world. Thus, identifying the factors that influence NCDs is crucial to monitor and manage diseases. This study investigates the effects of ... -
Efficient and portable GEMM-based convolution operators for deep neural network training on multicore processors
Elsevier (2022-05-30)Convolutional Neural Networks (CNNs) play a crucial role in many image recognition and classification tasks, recommender systems, brain-computer interfaces, etc. As a consequence, there is a notable interest in developing ... -
Efficient and portable Winograd convolutions for multi-core processors
Springer (2023-02-12)We take a step forward towards developing high-performance codes for the convolution operator, based on the Winograd algorithm, that are easy to customise for general-purpose processor architectures. In our approach, ... -
Efficient Implementation of Hyperspectral Anomaly Detection Techniques on GPUs and Multicore Processors
IEEE (2014)Anomaly detection is an important task for hyperspectral data exploitation. Although many algorithms have been developed for this purpose in recent years, due to the large dimensionality of hyperspectral image data, fast ... -
Efficient model order reduction of large-scale systems on multi-core platforms
Springer (2011)We propose an efficient implementation of the Balanced Truncation (BT) method for model order reduction when the state-space matrix is symmetric (positive definite). Most of the computational effort required by this method ... -
Efficient Transport Protocol for Networked
Springer Verlag (2008)The performance of haptic application is highly sensitive to communication delays and losses of data. It implies several constraints in developing networked haptic applications. This paper describes a new internet ... -
Efficient Velvet-Noise Convolution in Multicore Processors
Audio Engineering Society (2024-06-02)Velvet noise, a sparse pseudo-random signal, finds valuable applications in audio engineering, such as artificial reverberation, decorrelation filtering, and sound synthesis. These applications rely on convolution operations ... -
End-to-end congestion control protocols for remote programming of robots, using heterogeneous networks: A comparative analysis
Elsevier (2008)There are many interesting aspects of Internet Telerobotics within the network robotics context, such as variable bandwidth and time-delays. Some of these aspects have been treated in the literature from the control point ... -
Energy Balance between Voltage-Frequency Scaling and Resilience for Linear Algebra Routines on Low-Power Multicore Architectures
Elsevier (2018)Near Threshold Voltage (NTV) computing has been recently proposed as a technique to save energy, at the cost of incurring higher error rates including, among others, Silent Data Corruption (SDC). In this paper, we evaluate ... -
Energy Balance between Voltage-Frequency Scaling and Resilience for Linear Algebra Routines on Low-Power Multicore Architectures
Elsevier (2017)Near Threshold Voltage (NTV) computing has been recently proposed as a technique to save energy, at the cost of incurring higher error rates including, among others, Silent Data Corruption (SDC). In this paper, we evaluate ... -
Energy-efficient execution of dense linear algebra algorithms on multi-core processors
Springer Verlag (2013-09)This paper addresses the efficient exploitation of task-level parallelism, present in many dense linear algebra operations, from the point of view of both computational performance and energy consumption. The strategies ... -
Energy‐aware strategies for task‐parallel sparse linear system solvers
Wiley (2018)We present several energy‐aware strategies to improve the energy efficiency of a task‐parallel preconditioned Conjugate Gradient (PCG) iterative solver on a Haswell‐EP Intel Xeon. These techniques leverage the power‐saving ... -
Enhanced Human–Robot Interface With Operator Physiological Parameters Monitoring and 3D Mixed Reality
IEEE (2023-04-26)Remote robotic interventions and maintenance tasks are frequently required in hazardous environments. Particularly, missions with a redundant mobile manipulator in the world’s most complex machine, the CERN Large Hadron ...