Browsing by Author "Guirado Liñan, Robert"
Now showing items 1-6 of 6
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Architecting more than Moore: wireless plasticity for massive heterogeneous computer architectures (WiPLASH)
(Association for Computing Machinery (ACM), 2021)
Conference report
Open AccessThis paper presents the research directions pursued by the WiPLASH European project, pioneering on-chip wireless communications as a disruptive enabler towards next-generation computing systems for artificial intelligence ... -
Characterizing the communication requirements of GNN accelerators: A model-based approach
(Institute of Electrical and Electronics Engineers (IEEE), 2021)
Conference report
Open AccessRelational data present in real world graph representations demands for tools capable to study it accurately. In this regard Graph Neural Network (GNN) is a powerful tool, wherein various models for it have also been ... -
Computing graph neural networks: A survey from algorithms to accelerators
(Association for Computing Machinery (ACM), 2022-12-01)
Article
Open AccessGraph Neural Networks (GNNs) have exploded onto the machine learning scene in recent years owing to their capability to model and learn from graph-structured data. Such an ability has strong implications in a wide variety ... -
Dataflow-architecture co-design for 2.5D DNN accelerators using wireless network-on-package
(Association for Computing Machinery (ACM), 2021)
Conference report
Open AccessDeep neural network (DNN) models continue to grow in size and complexity, demanding higher computational power to enable real-time inference. To efficiently deliver such computational demands, hardware accelerators are ... -
Understanding the design-space of sparse/dense multiphase GNN dataflows on spatial accelerators
(Institute of Electrical and Electronics Engineers (IEEE), 2022)
Conference report
Open AccessGraph Neural Networks (GNNs) have garnered a lot of recent interest because of their success in learning representations from graph-structured data across several critical applications in cloud and HPC. Owing to their ... -
WHYPE: A scale-out architecture with wireless over-the-air majority for scalable in-memory hyperdimensional computing
(2023-01-01)
Article
Restricted access - publisher's policyHyperdimensional computing (HDC) is an emerging computing paradigm that represents, manipulates, and communicates data using long random vectors known as hypervectors. Among different hardware platforms capable of executing ...
