Alberto Parravicini
According to our database1,
Alberto Parravicini
authored at least 15 papers
between 2017 and 2022.
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Bibliography
2022
The case for reconfigurable architectures in high-performance graph and sparse information retrieval.
PhD thesis, 2022
Proceedings of the IEEE International Symposium on Circuits and Systems, 2022
2021
Fraud Prevention and Detection on Heterogeneous Information Networks with Deep Graph Infomax.
Proceedings of the 6th IEEE International Forum on Research and Technology for Society and Industry, 2021
Towards Graph Machine Learning for Smart Grid Knowledge Graphs in Industrial Scenarios.
Proceedings of the 6th IEEE International Forum on Research and Technology for Society and Industry, 2021
DAG-based Scheduling with Resource Sharing for Multi-task Applications in a Polyglot GPU Runtime.
Proceedings of the 35th IEEE International Parallel and Distributed Processing Symposium, 2021
Proceedings of the IEEE International Symposium on Workload Characterization, 2021
Solving Large Top-K Graph Eigenproblems with a Memory and Compute-optimized FPGA Design.
Proceedings of the 29th IEEE Annual International Symposium on Field-Programmable Custom Computing Machines, 2021
Scaling up HBM Efficiency of Top-K SpMV for Approximate Embedding Similarity on FPGAs.
Proceedings of the 58th ACM/IEEE Design Automation Conference, 2021
Proceedings of the IEEE Biomedical Circuits and Systems Conference, BioCAS 2021, 2021
Proceedings of the ASPDAC '21: 26th Asia and South Pacific Design Automation Conference, 2021
2019
Proceedings of the 5th IEEE International forum on Research and Technology for Society and Industry, 2019
Exploring transductive and inductive methods for vertex embedding in biological networks.
Proceedings of the 5th IEEE International forum on Research and Technology for Society and Industry, 2019
Proceedings of the 2nd Joint International Workshop on Graph Data Management Experiences & Systems (GRADES) and Network Data Analytics (NDA), 2019
2018
FIDA: A Framework to Automatically Integrate FPGA Kernels Within Data-Science Applications.
Proceedings of the 2018 IEEE International Parallel and Distributed Processing Symposium Workshops, 2018
2017
Proceedings of the 2017 IEEE International Parallel and Distributed Processing Symposium Workshops, 2017