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pro vyhledávání: '"Catthoor, Francky"'
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:
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
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
Autor:
Jaeger, Herbert, Catthoor, Francky
Tasks that one wishes to have done by a computer often come with conditions that relate to timescales. For instance, the processing must terminate within a given time limit; or a signal processing computer must integrate input information across seve
Externí odkaz:
http://arxiv.org/abs/2301.00893
Autor:
Yu, Pengbo, Levisse, Alexandre, Gupta, Mohit, Timon, Evenblij, Ansaloni, Giovanni, Catthoor, Francky, Atienza, David
The ever-increasing size and computational complexity of today's machine-learning algorithms pose an increasing strain on the underlying hardware. In this light, novel and dedicated architectural solutions are required to optimize energy efficiency b
Externí odkaz:
http://arxiv.org/abs/2212.09358
This paper presents a range of methods to improve the accuracy of equation-based thermal models of PV modules at second-to-minute timescales. We present an RC-equivalent conceptual model for PV modules, where wind effects are captured. We show how th
Externí odkaz:
http://arxiv.org/abs/2211.11593