Zobrazeno 1 - 10
of 109
pro vyhledávání: '"Gabriel Falcao"'
Publikováno v:
IEEE Access, Vol 12, Pp 10349-10365 (2024)
The accurate simulation and performance assessment of Near-Data Accelerators (NDAccs) is a complex challenge as it must consider the operation of the entire processing system, the impact of the Operating System (OS) overheads, and the memory contenti
Externí odkaz:
https://doaj.org/article/1cf84f4545ba491394df8ba05e60691d
Publikováno v:
Applied Sciences, Vol 13, Iss 5, p 3135 (2023)
Recent advances in artificial intelligence algorithms are leveraging massive amounts of data to optimize, refine, and improve existing solutions in critical areas such as healthcare, autonomous vehicles, robotics, social media, or human resources. Th
Externí odkaz:
https://doaj.org/article/5e6f0c94e6094fd685cd6206bf1f5f68
Publikováno v:
IEEE Access, Vol 7, Pp 127012-127023 (2019)
This paper presents a new, heterogeneous CPU+GPU attacks against lattice-based (postquantum) cryptosystems based on the Shortest Vector Problem (SVP), a central problem in lattice-based cryptanalysis. To the best of our knowledge, this is the first S
Externí odkaz:
https://doaj.org/article/f7b9f10b104e4343bbf7648d7500db89
Publikováno v:
Applied Artificial Intelligence, Vol 32, Iss 9-10, Pp 822-844 (2018)
The convolutional neural networks (CNNs) have proven to be powerful classification tools in tasks that range from check reading to medical diagnosis, reaching close to human perception, and in some cases surpassing it. However, the problems to solve
Externí odkaz:
https://doaj.org/article/d81dbc144dce40b6961d221e1d3c0882
Publikováno v:
IEEE Access, Vol 5, Pp 24184-24202 (2017)
This paper describes the lattice problems that are key in the study of lattice-based cryptography, identifies and categorizes methods for solving these problems, analyzes existing implementations of these algorithms, and extrapolates on the future of
Externí odkaz:
https://doaj.org/article/347cac77767f4ece98f19cd776a488ad
Autor:
Joao Andrade, Nithin George, Kimon Karras, David Novo, Frederico Pratas, Leonel Sousa, Paolo Ienne, Gabriel Falcao, Vitor Silva
Publikováno v:
IEEE Access, Vol 5, Pp 14600-14615 (2017)
Today, high-level synthesis (HLS) tools are being touted as a means to perform rapid prototyping and shortening the long development cycles needed to produce hardware designs in register transfer level (RTL). In this paper, we attempt to verify this
Externí odkaz:
https://doaj.org/article/3bd292e886b94ddf839a40c52df268fa
Publikováno v:
Remote Sensing, Vol 13, Iss 6, p 1077 (2021)
Edge applications evolved into a variety of scenarios that include the acquisition and compression of immense amounts of images acquired in space remote environments such as satellites and drones, where characteristics such as power have to be proper
Externí odkaz:
https://doaj.org/article/3ec9e222ea654cb9a32eda226c7409c0
Publikováno v:
IEEE Access, Vol 4, Pp 6704-6718 (2016)
Low-density parity-check (LDPC) block codes are popular forward error correction schemes due to their capacity-approaching characteristics. However, the realization of LDPC decoders that meet both low latency and high throughput is not a trivial chal
Externí odkaz:
https://doaj.org/article/483505e922cf4787995e5e7fb277519b
Autor:
Gabriel Falcao, João Dinis Ferreira
Publikováno v:
Communications of the ACM. 66:48-55
The case for in-memory inferencing of quantized CNNs at the edge.
Autor:
Srinivasan Subramaniyan, Oscar Ferraz, M. R. Ashuthosh, Santosh Krishna, Guohui Wang, Joseph R. Cavallaro, Vitor Silva, Gabriel Falcao, Madhura Purnaprajna
Publikováno v:
IEEE Design & Test. 40:85-95