Nothing Special   »   [go: up one dir, main page]

×
Please click here if you are not redirected within a few seconds.
Hence, the goal of this paper is to present a deep evaluation of finding the right architectural complexity of PEs in a processor field to meet given ...
First, we form a tangent space from a set of perturbed images and observe that the tangent space admits a vector space structure. Second, we embed the ...
Hence, the goal of this paper is to present a deep evaluation of finding the right architectural complexity of PEs in a processor field to meet given ...
The newly introduced pipelining features enable resource-efficient performance optimizations and are a significant improvement to the FAUPU ADL. Due to the fine ...
Lieske, Tobias, et al. "Dataflow Optimization for Programmable Embedded Image Preprocessing Accelerators." Proceedings of the 2016 International Conference on ...
Dataflow optimization for programmable embedded image preprocessing accelerators. Lieske, Tobias, Reichenbach, Marc, Ringlein, Burkhard, Fey, Dietmar.
Aug 16, 2024 · By strategically selecting loops to fuse, performance gains can be achieved by eliminating unnecessary transactions with memory and increasing ...
Mar 9, 2024 · FAUPU - A Design Framework for the Development of Programmable Image Processing Architectures · Energy and space aware · Low latency processing.
In the dataflow coding example you should notice the following: The pragma HLS dataflow is applied to instruct the compiler to enable dataflow optimization.
This work overcomes these barriers by quantitatively analyzing and optimizing the design objectives (eg required memory access) of the CNN accelerator.
Collaborative computer vision software. For teams of annotators, data scientists & managers. Supports image classification, object detection...