Zobrazeno 1 - 10
of 4 131
pro vyhledávání: '"Francky A"'
Autor:
Shi, Xinyu, Abdelhamid, Dina Ali, Ilsche, Thomas, Chamazcoti, Saeideh Alinezhad, Evenblij, Timon, Gupta, Mohit, Biswas, Dwaipayan, Catthoor, Francky
The escalating energy demands of main memory have become a concern in modern computing architectures, particularly in large-scale systems, due to frequent access patterns, increasing data volumes, and the lack of efficient power management strategies
Externí odkaz:
http://arxiv.org/abs/2411.17960
We study numerical algorithms to solve a specific Partial Differential Equation (PDE), namely the Stefan problem, using Physics Informed Neural Networks (PINNs). This problem describes the heat propagation in a liquid-solid phase change system. It im
Externí odkaz:
http://arxiv.org/abs/2410.14216
The design of energy-efficient, high-performance, and reliable Convolutional Neural Network (CNN) accelerators involves significant challenges due to complex power and thermal management issues. This paper introduces SAfEPaTh, a novel system-level ap
Externí odkaz:
http://arxiv.org/abs/2407.17623
Publikováno v:
IEEE Access, vol. 12, pp. 5973-5985, 2024
Accurate simulation techniques are indispensable to efficiently propose new memory or architectural organizations. As implementing new hardware concepts in real systems is often not feasible, cycle-accurate simulators employed together with certain b
Externí odkaz:
http://arxiv.org/abs/2402.00649
Autor:
Michos, Dimitrios1 (AUTHOR) akaza@upatras.gr, Catthoor, Francky2,3 (AUTHOR), Foussekis, Dimitris4 (AUTHOR) dfousek@cres.gr, Kazantzidis, Andreas1 (AUTHOR)
Publikováno v:
Energies (19961073). Nov2024, Vol. 17 Issue 21, p5493. 20p.
Autor:
Safa, Ali, Verbelen, Tim, Keuninckx, Lars, Ocket, Ilja, Bourdoux, André, Catthoor, Francky, Gielen, Georges, Cauwenberghs, Gert
This work studies how brain-inspired neural ensembles equipped with local Hebbian plasticity can perform active inference (AIF) in order to control dynamical agents. A generative model capturing the environment dynamics is learned by a network compos
Externí odkaz:
http://arxiv.org/abs/2306.05053
Recent work has shown that viewing allocators as black-box 2DBP solvers bears meaning. For instance, there exists a 2DBP-based fragmentation metric which often correlates monotonically with maximum resident set size (RSS). Given the field's indetermi
Externí odkaz:
http://arxiv.org/abs/2305.01497
Autor:
Michos, Dimitrios1 (AUTHOR) akaza@upatras.gr, Catthoor, Francky2,3 (AUTHOR) francky.catthoor@imec.be, Foussekis, Dimitris4 (AUTHOR) dfousek@cres.gr, Kazantzidis, Andreas1 (AUTHOR)
Publikováno v:
Energies (19961073). Aug2024, Vol. 17 Issue 16, p4139. 15p.
This paper presents a trace-based simulation methodology for constructing representations of workload-allocator interaction. We use two-dimensional rectangular bin packing (2DBP) as our foundation. Classical 2DBP algorithms minimize their products' m
Externí odkaz:
http://arxiv.org/abs/2304.10862
Autor:
Katsaragakis, Manolis, Baloukas, Christos, Papadopoulos, Lazaros, Kantere, Verena, Catthoor, Francky, Soudris, Dimitrios
The Intel Optane DC Persistent Memory (DCPM) is an attractive novel technology for building storage systems for data intensive HPC applications, as it provides lower cost per byte, low standby power and larger capacities than DRAM, with comparable la
Externí odkaz:
http://arxiv.org/abs/2304.00953