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Noyau Linux
Publications associées (160)
Thread-Placement Learning
Rachid Guerraoui, Vasileios Trigonakis, Karolos Antoniadis
In a non-uniform memory access machine, the placement of software threads to hardware cores can have a significant effect on the performance of concurrent applications. Detecting the best possible placement for each application is a necessity for thread sc ...
IEEE COMPUTER SOC2020Disentangling feature and lazy training in deep neural networks
Matthieu Wyart, Mario Geiger, Stefano Spigler, Arthur Jacot
Two distinct limits for deep learning have been derived as the network width h -> infinity, depending on how the weights of the last layer scale with h. In the neural tangent Kernel (NTK) limit, the dynamics becomes linear in the weights and is described b ...
IOP PUBLISHING LTD2020Snap-On User-Space Manager for Dynamically Reconfigurable System-on-Chips
Paolo Ienne, Andrea Guerrieri, Sahand Kashani
Due to increased embedded processing requirements, modern SoCs are becoming heterogeneous computing platforms by combining traditional processing units with custom reconfigurable hardware accelerators (HAs) on an FPGA fabric. However, efficiently managing ...
2019i-DPs CGRA: An Interleaved-Datapaths Reconfigurable Accelerator for Embedded Bio-signal Processing
David Atienza Alonso, Giovanni Ansaloni, Miguel Peon Quiros, Soumya Subhra Basu, Loris Gérard Duch
Smart edge sensors for bio-signal monitoring must support complex signal processing routines within an extremely small energy envelope. Coarse-Grained Reconfigurable Arrays (CGRAs) are good candidates for tackling these conflicting objectives because, than ...
2019Fully-Asynchronous Cache-Efficient Simulation of Detailed Neural Networks
Felix Schürmann, Michael Lee Hines
Modern asynchronous runtime systems allow the re-thinking of large-scale scientific applications. With the example of a simulator of morphologically detailed neural networks, we show how detaching from the commonly used bulk-synchronous parallel (BSP) exec ...
SPRINGER INTERNATIONAL PUBLISHING AG2019