Zobrazeno 1 - 10
of 7 861
pro vyhledávání: '"Reconfigurable computing"'
Autor:
Edward Grindley, Thurstan Gray, James Wilkinson, Chris Vaux, Adam Ardron, Jack Deeley, Alexander Elliott, Nidhin Thandassery Sumithran, Suhaib A. Fahmy
Publikováno v:
IEEE Access, Vol 12, Pp 155976-155989 (2024)
We present the NAIL Accelerator Interface Layer, a framework for offloading accelerated computations to Field Programmable Gate Arrays served across the network. NAIL has been specifically optimised for latency sensitive applications and has been dep
Externí odkaz:
https://doaj.org/article/fcbe50ef6e044e60858aa71bbe3e4fac
Publikováno v:
IEEE Access, Vol 12, Pp 142459-142474 (2024)
The Self-Organizing Map (SOM) algorithm is a clustering algorithm used in a wide variety of application domains. Over the last few decades, it has been accelerated using various hardware architectures, including FPGAs, CPUs, and GPUs. This publicatio
Externí odkaz:
https://doaj.org/article/799cf773f5cd4de5a218d953f7e24a16
Autor:
Kamaleldin, Ahmed, Göhringer, Diana
Tile-based many-core architectures are extensively used in modern system-on-chip designs to achieve scalable computing performance with adequate energy efficiency. Heterogeneity is the key element to boost computing performance and keep energy consum
Externí odkaz:
https://tud.qucosa.de/id/qucosa%3A91770
https://tud.qucosa.de/api/qucosa%3A91770/attachment/ATT-0/
https://tud.qucosa.de/api/qucosa%3A91770/attachment/ATT-0/
Publikováno v:
Dianxin kexue, Vol 39, Pp 22-32 (2023)
At present, IP network has the problems of rigid structure, poor scalability and poor security.To solve these problems, the concept of polymorphic network has been proposed by researchers and gradually become a research hotspot.The programmable netwo
Externí odkaz:
https://doaj.org/article/996ad6d644d248ef8b1aa6066731836f
Publikováno v:
IEEE Access, Vol 11, Pp 116752-116761 (2023)
Although reconfigurable architecture is an inevitable choice for dealing with high-intensive applications, the opacity of hardware structure programming and the fuzziness or imprecision of many dependencies in applications make it difficult to develo
Externí odkaz:
https://doaj.org/article/8c3953db789e4632b48b414736c0f0b4
Publikováno v:
IEEE Access, Vol 11, Pp 67679-67706 (2023)
In recent years, the most powerful supercomputers have already reached megawatt power consumption levels, an important issue that challenges sustainability and shows the impossibility of maintaining this trend. To this date, the prevalent approach to
Externí odkaz:
https://doaj.org/article/0acc050fd85a4163925c8709c60a4c52
Akademický článek
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Akademický článek
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Autor:
CHANG Libo, ZHANG Shengbing
Publikováno v:
Xibei Gongye Daxue Xuebao, Vol 40, Iss 2, Pp 344-351 (2022)
To solve the problem of low computing efficiency of existing accelerators for convolutional neural network (CNNs), which caused by the inability to adapt to the characteristics of computing mode and caching for the mixed-precision quantized CNNs mode
Externí odkaz:
https://doaj.org/article/44c19b9e4a134a2c841407ac64db5810
Publikováno v:
Micromachines, Vol 14, Iss 10, p 1913 (2023)
The paper proposes two architectures for a dynamically scalable network-on-chip (NoC) for dynamically reconfigurable intellectual properties (IPs) to save power. The first architecture is a run-time scalable column-based NoC, where the columns of the
Externí odkaz:
https://doaj.org/article/4ff37304936f4b8d89857f41e8630703