5 citations · 5 across the 3 of their papers we have counts for
4 papers
AppGNN: Approximation-Aware Functional Reverse Engineering using Graph Neural Networks
Tim Bucher, Lilas Alrahis, Guilherme Paim +3
The globalization of the Integrated Circuit (IC) market is attracting an ever-growing number of partners, while remarkably lengthening the supply chain. Thereby, security concerns,…
Quality and Complexity Assessment of Learning-Based Image Compression Solutions
João Dick, Brunno Abreu, Mateus Grellert +1
This work presents an analysis of state-of-the-art learning-based image compression techniques. We compare 8 models available in the Tensorflow Compression package in terms of visu…
Logic Synthesis Meets Machine Learning: Trading Exactness for Generalization
Shubham Rai, Walter Lau Neto, Yukio Miyasaka +37
Logic synthesis is a fundamental step in hardware design whose goal is to find structural representations of Boolean functions while minimizing delay and area. If the function is c…
Area and Throughput Trade-Offs in the Design of Pipelined Discrete Wavelet Transform Architectures
Sandro V. Silva, Sergio Bampi
The JPEG2000 standard defines the discrete wavelet transform (DWT) as a linear space-to-frequency transform of the image domain in an irreversible compression. This irreversible di…