27 citations · 29 across the 3 of their papers we have counts for
4 papers
Residual Diffusion Implicit Models
João Guerreiro, Pedro Tomás, Helena Aidos +1
Diffusion models achieve state-of-the-art results across multiple tasks. However, in inverse problems, standard initialization from pure Gaussian noise misaligns the generative pro…
Marionette: Data Structure Description and Management for Heterogeneous Computing
Nuno dos Santos Fernandes, Pedro Tomás, Nuno Roma +2
Adapting large, object-oriented C++ codebases for hardware acceleration might be extremely challenging, particularly when targeting heterogeneous platforms such as GPUs. Marionette…
Supporting RISC-V Performance Counters through Performance analysis tools for Linux (Perf)
Joao Mario Domingos, Pedro Tomas, Leonel Sousa
Increased attention to RISC-V in Cloud, Data Center, Automotive and Networking applications, has been fueling the move of RISC-V to the high-performance computing scenario. However…
PositNN: Training Deep Neural Networks with Mixed Low-Precision Posit
Gonçalo Raposo, Pedro Tomás, Nuno Roma
Low-precision formats have proven to be an efficient way to reduce not only the memory footprint but also the hardware resources and power consumption of deep learning computations…