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A Tool for the Synthesis of Adaptive Probabilistic Processors Based on the Ising Model
Jonathan Juracy Carneiro da Silva, Leonardo R. Gobatto, Jose Rodrigo Azambuja
This work presents a tool for the synthesis and simulation of probabilistic architectures for solving combinatorial optimization problems by mapping them to the Ising model. The pr…
SPINE: A Fault Injection Profiler for Quantized Neural Networks under Accumulated Faults
Nathan Guimarães, Ian Kersz, Leonardo R. Gobatto +5
Deploying deep neural networks at the edge demands efficient inference under strict cost and power constraints. Quantized neural networks address these demands by replacing floatin…
G-GPU: A Fully-Automated Generator of GPU-like ASIC Accelerators
Tiago Diadami Perez, Márcio M. Gonçalves, José Rodrigo Azambuja +3
Modern Systems on Chip (SoC), almost as a rule, require accelerators for achieving energy efficiency and high performance for specific tasks that are not necessarily well suited fo…