Zobrazeno 1 - 10
of 10 624
pro vyhledávání: '"A. Géraldo"'
This paper introduces a new machine learning-assisted chromatic dispersion compensation filter, demonstrating its superior power efficiency compared to conventional FFT-based filters for metro link distances. Validations on FPGA confirmed an energy e
Externí odkaz:
http://arxiv.org/abs/2409.13381
Power efficiency remains a significant challenge in modern optical fiber communication systems, driving efforts to reduce the computational complexity of digital signal processing, particularly in chromatic dispersion compensation (CDC) algorithms. W
Externí odkaz:
http://arxiv.org/abs/2409.10416
This paper introduces CEopt (https://ceopt.org), a MATLAB tool leveraging the Cross-Entropy method for non-convex optimization. Due to the relative simplicity of the algorithm, it provides a kind of transparent ``gray-box'' optimization solver, with
Externí odkaz:
http://arxiv.org/abs/2409.00013
Autor:
Fernandes, Jose Geraldo, Nascimento, Sinval, Dominguete, Daniel, Oliveira, André, Rotsen, Lucas, Souza, Gabriel, Brochero, David, Facury, Luiz, Vilela, Mateus, Costa, Hebert, Coelho, Frederico, Braga, Antônio P.
In many applications, synchronizing audio with visuals is crucial, such as in creating graphic animations for films or games, translating movie audio into different languages, and developing metaverse applications. This review explores various method
Externí odkaz:
http://arxiv.org/abs/2407.17430
Co-optimizing placement with congestion is integral to achieving high-quality designs. This paper presents GOALPlace, a new learning-based general approach to improving placement congestion by controlling cell density. Our method efficiently learns f
Externí odkaz:
http://arxiv.org/abs/2407.04579
Autor:
Canpolat, Oğuzhan, Yağlıkçı, A. Giray, Oliveira, Geraldo F., Olgun, Ataberk, Ergin, Oğuz, Mutlu, Onur
We present the first rigorous security, performance, energy, and cost analyses of the state-of-the-art on-DRAM-die read disturbance mitigation method, Per Row Activation Counting (PRAC), described in JEDEC DDR5 specification's April 2024 update. Unli
Externí odkaz:
http://arxiv.org/abs/2406.19094
Autor:
Aires, Mikaela, Botelho, Geraldo
Let $X$ be a (real or complex) infinite dimensional linear space. We establish conditions on a homogeneous polynomial $P$ on $X$ so that, if $W$ is any finite dimensional subspace of $X$ on which $P$ vanishes, then $P$ vanishes on an infinite dimensi
Externí odkaz:
http://arxiv.org/abs/2406.14241
Selecting language models in business contexts requires a careful analysis of the final financial benefits of the investment. However, the emphasis of academia and industry analysis of LLM is solely on performance. This work introduces a framework to
Externí odkaz:
http://arxiv.org/abs/2405.17637
Autor:
Yuksel, Ismail Emir, Tugrul, Yahya Can, Bostanci, F. Nisa, Oliveira, Geraldo F., Yaglikci, A. Giray, Olgun, Ataberk, Soysal, Melina, Luo, Haocong, Gómez-Luna, Juan, Sadrosadati, Mohammad, Mutlu, Onur
We experimentally analyze the computational capability of commercial off-the-shelf (COTS) DRAM chips and the robustness of these capabilities under various timing delays between DRAM commands, data patterns, temperature, and voltage levels. We extens
Externí odkaz:
http://arxiv.org/abs/2405.06081
Autor:
Aires, Mikaela, Botelho, Geraldo
Generalizing a recent result on lineability of sets of non-injective linear operators, we prove, for quite general linear spaces $A$ of maps from an arbitraty set to a sequence space, that, for every $0 \neq f \in A$, the subset of $A$ of non-injecti
Externí odkaz:
http://arxiv.org/abs/2403.19855