PasTiS: building an NVIDIA Pascal GPU simulator for embedded AI applications - IRIT - Université Toulouse III Paul Sabatier Access content directly
Conference Papers Year : 2022

PasTiS: building an NVIDIA Pascal GPU simulator for embedded AI applications

Abstract

We present PasTiS, a simulator for the NVIDIA Pascal GPU architecture family, with a focus on timing simulation. PasTiS supports a subset of the Pascal ISA, sufficient to simulate the execution of neural networks. We present this subset, as well as the underlying microarchitecture that we modelled using information available from NVIDIA, from scientific publications, and from our own experiments. We demonstrate the precision of the simulator by comparing it to measurements on the NVIDIA Jetson TX2 development board, on neural network applications.
Fichier principal
Vignette du fichier
ERTS2_2022-9.pdf (298.5 Ko) Télécharger le fichier
Origin : Files produced by the author(s)

Dates and versions

hal-03684680 , version 1 (01-06-2022)

Identifiers

  • HAL Id : hal-03684680 , version 1

Cite

Michaël Adalbert, Thomas Carle, Christine Rochange. PasTiS: building an NVIDIA Pascal GPU simulator for embedded AI applications. 11th European Congress on Embedded Real-Time Systems (ERTS 2022), 3AF Midi-Pyrénées: the French Society of Aeronautic and Aerospace; SEE : the French Society for Electricity, Electronics, and Information & Communication Technologies, Jun 2022, Toulouse, France. ⟨hal-03684680⟩
379 View
193 Download

Share

Gmail Facebook X LinkedIn More