Exploiting FPGAs from Higher Level Languages A Signal Analysis Case Study. - Luca Stornaiuolo; Alberto Parravicini; Gianluca Durelli; Marco D. Santambrogio (IPDPS Workshops, 2017)

FIDA: A Framework to Automatically Integrate FPGA Kernels Within Data-Science Applications. - Luca Stornaiuolo; Alberto Parravicini; Donatella Sciuto; Marco D. Santambrogio (IPDPS Workshops, 2018)

Fast and Accurate Entity Linking via Graph Embedding. - Alberto Parravicini; Rhicheek Patra; Davide B. Bartolini; Marco D. Santambrogio (GRADES/NDA@SIGMOD/PODS, 2019)

Exploring transductive and inductive methods for vertex embedding in biological networks. - Luca G. Cellamare; Michele A. Bertoldi; Alberto Parravicini; Marco D. Santambrogio (RTSI, 2019)

Solving write conflicts in GPU-accelerated graph computation: A PageRank case-study. - Diego Piccinotti; Edoardo Ramalli; Alberto Parravicini; Rolando Brondolin; Marco D. Santambrogio (RTSI, 2019)

A reduced-precision streaming SpMV architecture for Personalized PageRank on FPGA. - Alberto Parravicini; Francesco Sgherzi; Marco D. Santambrogio (ASP-DAC, 2021)

Demystifying Drug Repurposing Domain Comprehension with Knowledge Graph Embedding. - Edoardo Ramalli; Alberto Parravicini; Guido Walter Di Donato; Mirko Salaris; Céline Hudelot; Marco D. Santambrogio (BioCAS, 2021)

Scaling up HBM Efficiency of Top-K SpMV for Approximate Embedding Similarity on FPGAs. - Alberto Parravicini; Luca Giuseppe Cellamare; Marco Siracusa; Marco D. Santambrogio (DAC, 2021)

Solving Large Top-K Graph Eigenproblems with a Memory and Compute-optimized FPGA Design. - Francesco Sgherzi; Alberto Parravicini; Marco Siracusa; Marco D. Santambrogio (FCCM, 2021)

The Cost of Speculation: Revisiting Overheads in the V8 JavaScript Engine. - Alberto Parravicini; René Müller 001 (IISWC, 2021)

DAG-based Scheduling with Resource Sharing for Multi-task Applications in a Polyglot GPU Runtime. - Alberto Parravicini; Arnaud Delamare; Marco Arnaboldi; Marco D. Santambrogio (IPDPS, 2021)

Towards Graph Machine Learning for Smart Grid Knowledge Graphs in Industrial Scenarios. - Guido Walter Di Donato; Andrea Damiani; Alberto Parravicini; Enea Bionda; Francesca Soldan; Carlo Tornelli; Marco D. Santambrogio (RTSI, 2021)

Fraud Prevention and Detection on Heterogeneous Information Networks with Deep Graph Infomax. - Nicolas Racchi; Alberto Parravicini; Guido Walter Di Donato; Marco D. Santambrogio (RTSI, 2021)

A Mixed Precision, Multi-GPU Design for Large-scale Top-K Sparse Eigenproblems. - Francesco Sgherzi; Alberto Parravicini; Marco D. Santambrogio (ISCAS, 2022)

The case for reconfigurable architectures in high-performance graph and sparse information retrieval. - Alberto Parravicini (2022)

Multi-GPU Greedy Scheduling Through a Polyglot Runtime. - Ian Di Dio Lavore; Guido Walter Di Donato; Alberto Parravicini; Francesco Sgherzi; Daniele Bonetta; Marco Domenico Santambrogio (CF, 2025)