Alberto Parravicini

Publication Activity (10 Years)

Years Active: 2017-2022
Publications (10 Years): 20

Top Topics

Pipelined Architecture

Heterogeneous Information Networks

Sparse Learning

Graph Embedding

Top Venues

IPDPS Workshops

Publications

Francesco Sgherzi, Alberto Parravicini, Marco D. Santambrogio
A Mixed Precision, Multi-GPU Design for Large-scale Top-K Sparse Eigenproblems. ISCAS (2022)
Francesco Sgherzi, Alberto Parravicini, Marco Domenico Santambrogio
A Mixed Precision, Multi-GPU Design for Large-scale Top-K Sparse Eigenproblems. CoRR (2022)
Alberto Parravicini, Francesco Sgherzi, Marco D. Santambrogio
A reduced-precision streaming SpMV architecture for Personalized PageRank on FPGA. ASP-DAC (2021)
Edoardo Ramalli, Alberto Parravicini, Guido Walter Di Donato, Mirko Salaris, Céline Hudelot, Marco Domenico Santambrogio
Demystifying Drug Repurposing Domain Comprehension with Knowledge Graph Embedding. CoRR (2021)
Francesco Sgherzi, Alberto Parravicini, Marco Siracusa, Marco Domenico Santambrogio
Solving Large Top-K Graph Eigenproblems with a Memory and Compute-optimized FPGA Design. CoRR (2021)
Alberto Parravicini, Arnaud Delamare, Marco Arnaboldi, Marco D. Santambrogio
DAG-based Scheduling with Resource Sharing for Multi-task Applications in a Polyglot GPU Runtime. IPDPS (2021)
Francesco Sgherzi, Alberto Parravicini, Marco Siracusa, Marco D. Santambrogio
Solving Large Top-K Graph Eigenproblems with a Memory and Compute-optimized FPGA Design. FCCM (2021)
Alberto Parravicini, Rene Mueller
The Cost of Speculation: Revisiting Overheads in the V8 JavaScript Engine. IISWC (2021)
Alberto Parravicini, Luca Giuseppe Cellamare, Marco Siracusa, Marco D. Santambrogio
Scaling up HBM Efficiency of Top-K SpMV for Approximate Embedding Similarity on FPGAs. DAC (2021)
Edoardo Ramalli, Alberto Parravicini, Guido Walter Di Donato, Mirko Salaris, Céline Hudelot, Marco D. Santambrogio
Demystifying Drug Repurposing Domain Comprehension with Knowledge Graph Embedding. BioCAS (2021)
Alberto Parravicini, Luca Giuseppe Cellamare, Marco Siracusa, Marco Domenico Santambrogio
Scaling up HBM Efficiency of Top-K SpMV for Approximate Embedding Similarity on FPGAs. CoRR (2021)
Guido Walter Di Donato, Andrea Damiani, Alberto Parravicini, Enea Bionda, Francesca Soldan, Carlo Tornelli, Marco D. Santambrogio
Towards Graph Machine Learning for Smart Grid Knowledge Graphs in Industrial Scenarios. RTSI (2021)
Nicolas Racchi, Alberto Parravicini, Guido Walter Di Donato, Marco D. Santambrogio
Fraud Prevention and Detection on Heterogeneous Information Networks with Deep Graph Infomax. RTSI (2021)
Alberto Parravicini, Francesco Sgherzi, Marco D. Santambrogio
A reduced-precision streaming SpMV architecture for Personalized PageRank on FPGA. CoRR (2020)
Alberto Parravicini, Arnaud Delamare, Marco Arnaboldi, Marco D. Santambrogio
DAG-based Scheduling with Resource Sharing for Multi-task Applications in a Polyglot GPU Runtime. CoRR (2020)
Alberto Parravicini, Rhicheek Patra, Davide B. Bartolini, Marco D. Santambrogio
Fast and Accurate Entity Linking via Graph Embedding. GRADES/NDA@SIGMOD/PODS (2019)
Luca G. Cellamare, Michele A. Bertoldi, Alberto Parravicini, Marco D. Santambrogio
Exploring transductive and inductive methods for vertex embedding in biological networks. RTSI (2019)
Diego Piccinotti, Edoardo Ramalli, Alberto Parravicini, Rolando Brondolin, Marco D. Santambrogio
Solving write conflicts in GPU-accelerated graph computation: A PageRank case-study. RTSI (2019)
Luca Stornaiuolo, Alberto Parravicini, Donatella Sciuto, Marco D. Santambrogio
FIDA: A Framework to Automatically Integrate FPGA Kernels Within Data-Science Applications. IPDPS Workshops (2018)
Luca Stornaiuolo, Alberto Parravicini, Gianluca Durelli, Marco D. Santambrogio
Exploiting FPGAs from Higher Level Languages A Signal Analysis Case Study. IPDPS Workshops (2017)