41 citations · 166 across the 13 of their papers we have counts for
4 papers · 1 filter
JACC: An OpenACC Runtime Framework with Kernel-Level and Multi-GPU Parallelization
Kazuaki Matsumura, Simon Garcia De Gonzalo, Antonio J. Peña
The rapid development in computing technology has paved the way for directive-based programming models towards a principal role in maintaining software portability of performance-c…
Particle-In-Cell Simulation using Asynchronous Tasking
Nicolas Guidotti, Pedro Ceyrat, João Barreto +5
Recently, task-based programming models have emerged as a prominent alternative among shared-memory parallel programming paradigms. Inherently asynchronous, these models provide na…
Enabling Homomorphically Encrypted Inference for Large DNN Models
Guillermo Lloret-Talavera, Marc Jorda, Harald Servat +5
The proliferation of machine learning services in the last few years has raised data privacy concerns. Homomorphic encryption (HE) enables inference using encrypted data but it inc…
cuConv: A CUDA Implementation of Convolution for CNN Inference
Marc Jordà, Pedro Valero-Lara, Antonio J. Peña
Convolutions are the core operation of deep learning applications based on Convolutional Neural Networks (CNNs). Current GPU architectures are highly efficient for training and dep…