research
∙
06/22/2023
To Spike or Not to Spike? A Quantitative Comparison of SNN and CNN FPGA Implementations
Convolutional Neural Networks (CNNs) are widely employed to solve variou...
share
research
∙
01/27/2021
Proceedings of the DATE Friday Workshop on System-level Design Methods for Deep Learning on Heterogeneous Architectures (SLOHA 2021)
This volume contains the papers accepted at the first DATE Friday Worksh...
research
∙
01/12/2021
Symbolic Loop Compilation for Tightly Coupled Processor Arrays
Loop compilation for Tightly Coupled Processor Arrays (TCPAs), a class o...
research
∙
08/26/2020
HipaccVX: Wedding of OpenVX and DSL-based Code Generation
Writing programs for heterogeneous platforms optimized for high performa...
research
∙
08/20/2020
Utilizing Explainable AI for Quantization and Pruning of Deep Neural Networks
For many applications, utilizing DNNs (Deep Neural Networks) requires th...
research
∙
02/26/2015
Automatic Optimization of Hardware Accelerators for Image Processing
In the domain of image processing, often real-time constraints are requi...
research
∙
02/25/2015
Proceedings of the DATE Friday Workshop on Heterogeneous Architectures and Design Methods for Embedded Image Systems (HIS 2015)
This volume contains the papers accepted at the DATE Friday Workshop on ...
research
∙
08/20/2014
Code Generation for High-Level Synthesis of Multiresolution Applications on FPGAs
Multiresolution Analysis (MRA) is a mathematical method that is based on...
research
∙
05/08/2014