Articles de revista
Enviaments recents
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Assessing Saiph, a task-based DSL for high-performance computational fluid dynamics
(Elsevier, 2023-10)
Article
Accés restringit per política de l'editorialScientific applications face the challenge of efficiently exploiting increasingly complex parallel and distributed systems. Developing hand-tuned codes is a time-consuming, tedious and hardly reusable task. Reaching high ... -
Energy hardware and workload aware job scheduling towards interconnected HPC environments
(2021-06-17)
Article
Accés obertNew HPC machines are getting close to the exascale. Power consumption for those machines has been increasing, and researchers are studying ways to reduce it. A second trend is HPC machines' growing complexity, with increasing ... -
Charging of the ABR service in ATM networks: a numerical example
(Institute of Electrical and Electronics Engineers (IEEE), 1998-04)
Article
Accés obertThe Available Bit Rate service (ABR) is a "best effort" service intended for traffic which imposes no bound on delay or delay variation. The network guarantees a Minimum Cell Rate (MCR) for an ABR source, which is negotiated ... -
O(n) key–value sort with active compute memory
(Institute of Electrical and Electronics Engineers (IEEE), 2024-02-29)
Article
Accés obertWe propose the Active Compute Memory (ACM), a near-memory-processing architecture capable of performing key–value sort directly in the DRAM. In the ACM architecture, sort is merely the writing of data into memory with one ... -
Abisko: Deep codesign of an architecture for spiking neural networks using novel neuromorphic materials
(SAGE publishing, 2023-07)
Article
Accés obertThe Abisko project aims to develop an energy-efficient spiking neural network (SNN) computing architecture and software system capable of autonomous learning and operation. The SNN architecture explores novel neuromorphic ... -
Finding, analysing and solving MPI communication bottlenecks in Earth System models
(Elsevier, 2019-09)
Article
Accés obertIt is a matter of consensus that the ability to efficiently use current and future high performance computing systems is crucial for science, however, the reality is that the performance currently achieved by most of the ... -
Perpetual reconfigurable intelligent surfaces through in-band energy harvesting: architectures, protocols, and challenges
(Institute of Electrical and Electronics Engineers (IEEE), 2024-01-05)
Article
Accés obertReconfigurable intelligent surfaces (RISs) are considered a key enabler of highly energy-efficient 6G and beyond networks. This property arises from the absence of power amplifiers in the structure, in contrast to active ... -
The effects of weight quantization on online federated learning for the IoT: a case study
(Institute of Electrical and Electronics Engineers (IEEE), 2024-01-04)
Article
Accés obertMany weight quantization approaches were explored to save the communication bandwidth between the clients and the server in federated learning using high-end computing machines. However, there is a lack of weight quantization ... -
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 ... -
ATC human factors involved in RPAS contingency management in non-segregated airspace
(Multidisciplinary Digital Publishing Institute, 2023-01-20)
Article
Accés obertThe overall approach towards Remotely Piloted Aerial System integration into a non-segregated airspace is that the unmanned vehicles should be able to fit into the current air traffic management system, thus meeting all ... -
Assistive self-driving car networks to provide safe road ecosystems for disabled road users
(2023-10-01)
Article
Accés obertDisabled pedestrians are among the most vulnerable groups in road traffic. Using technology to assist this vulnerable group could be instrumental in reducing the mobility challenges they face daily. On the one hand, the ... -
Leveraging network data analytics function and machine learning for data collection, resource optimization, security and privacy in 6G networks
(Institute of Electrical and Electronics Engineers (IEEE), 2024-01-30)
Article
Accés obertThe full deployment of sixth-generation (6G) networks is inextricably connected with a holistic network redesign able to deal with various emerging challenges, such as integration of heterogeneous technologies and devices, ...