Les techniques proposées ont vocation à être multi-niveaux et pourront à ce titre être appliquées à l’échelle d’un système embarqué ou de ses divers sous-composants mais aussi à l’échelle d'un système distribué, comme par exemple un cluster de calcul. Ces techniques peuvent considérer un ensemble significatif de paramètres afin de proposer des solutions optimales. Ces systèmes possèdent un nombre de paramètres de conception et de contrôle important, donnant lieu à un nombre de combinaisons souvent trop large pour pouvoir être considérées de façon exhaustive.Ainsi, cette thèse a pour objectif de s'appuyer sur les techniques d'apprentissage automatique récentes, basées sur les réseaux de neurones, pour construire des solutions de contrôle et de conception de systèmes de calcul. Nous considérons dans cette thèse l'optimisation du calcul parallèle, s'exécutant sur des architectures complexes, du processeur multicœur au cluster de calcul. De la conception matérielle au contrôle logiciel, différents leviers existent pour agir sur l'exécution de calculs. apprentissage par renforcement).L'optimisation de l'efficacité énergétique des systèmes de calcul est devenue un enjeu majeur. apprentissage supervisé), mais aussi dans le contrôle dynamique de systèmes complexes (e.g.
DMESH RUTOR PLUS
Machine Learning) et leur utilisation dans des domaines de plus en plus variés montrent des capacités souvent surprenantes - dans l’interprétation des données d’entrée et la capacité de construire des représentations abstraites pertinentes (e.g. L’essor des techniques et algorithmes d’apprentissage (i.e. Thanks to these adaptive power-saving mechanisms the proposed segmented NoC router provides near energy-proportional operation across the range of used benchmarks. This enhanced power-gating strategy significantly decreases both static and dynamic power consumption of the NoC, up to \(70\% \) for synthetic traffic patterns and up to \(58\% \) for real traffic workloads, while preserving NoC latency and throughput. Based on a fully segmented architecture, we present an online adaptive router adjusting its active routing resources to meet the current traffic demand. This paper proposes to combine router architecture optimizations with smart resource management to overcome this limitation. There exists a body of work addressing this issue, however so far solutions fall short when aiming for power reduction whilst maintaining high NoC performance. The unpredictability of traffic across a NoC frequently involves an expensive over-sizing of NoC resources which in turn leads to a significant contribution to the CMP power consumption.
DMESH RUTOR SOFTWARE
"Latest project that utilises a very similar technique is DMesh, a custom software made in Cinder by Dofl Yun.A Network-on-Chip (NoC) is an essential component of a chip multiprocessor (CMP) which however contributes to a large fraction of system energy. "DMesh turns any image into a techy artowrk." - Fastcompany This allows users to control number of mesh dynamically so realistic result having more meshes or abstract one having less meshes can be made easily. Video import/export is in the works.ĭynamic Mesh Density Control (Pro version only): Import/export sequenced images automatically, making it easier for motion designers. Working with Sequenced Images (Pro version only):
DMESH RUTOR MANUAL
Where other tools only allow manual use, DMesh analyzes the image, adds points and plays with the density accordingly while reducing noise in the mesh.Ĭontrol the number of mesh points dynamically: add more for a realistic result, or subtract to make the image more abstract.ĭMesh suuport to export images as bitmaps, vectors or 3D data for maximum flexibility and scope.Īuto Point Generation is built based on computer vision technology so the results are closer to the original source and working with animation files can get more continuity between frames and less noise in the mesh. You’ll get an idea of how you use Dmesh for your project.ĭMesh provides auto-generated points, which is useful for people doing animations or larger batches of images. To build the program, a groundbreaking mix of computer vision technologies were employed to make DMesh for someone without any design background.Ĭheck user showcase at the DMesh site. It works by analyzing an image and generating a triangulation pattern for a beautiful finished product. DMesh is a custom creative application that turns images into techy artwork.
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