Grupo de Arquitectura de Computadores (GAC)
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Recent Submissions
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Concept Drift Detection and Adaptation for Federated and Continual Learning
(Springer, 2021)[Abstract] Smart devices, such as smartphones, wearables, robots, and others, can collect vast amounts of data from their environment. This data is suitable for training machine learning models, which can significantly ... -
OpenCNN: A Winograd Minimal Filtering Algorithm Implementation in CUDA
(MDPI, 2021)[Abstract] Improving the performance of the convolution operation has become a key target for High Performance Computing (HPC) developers due to its prevalence in deep learning applied mainly to video processing. The ... -
ScalaParBiBit: Scaling the Binary Biclustering in Distributed-Memory Systems
(SpringerLink, 2021-03-19)[Abstract] Biclustering is a data mining technique that allows us to find groups of rows and columns that are highly correlated in a 2D dataset. Although there exist several software applications to perform biclustering, ... -
High-performance dataflow computing in hybrid memory systems with UPC++ DepSpawn
(Springer, 2021)[Abstract]: Dataflow computing is a very attractive paradigm for high-performance computing, given its ability to trigger computations as soon as their inputs are available. UPC++ DepSpawn is a novel task-based library ... -
Optimizing Coherence Traffic in Manycore Processors Using Closed-Form Caching/Home Agent Mappings
(Institute of Electrical and Electronics Engineers, 2021-02-09)[Abstract] Manycore processors feature a high number of general-purpose cores designed to work in a multithreaded fashion. Recent manycore processors are kept coherent using scalable distributed directories. A paramount ...
