G. Di Guglielmo

AIgean: An Open Framework for Deploying Machine Learning on Heterogeneous Clusters

P. Harris, V. Loncar, D. Rankin, 2021, ACM Trans. Reconfigurable Technol. Syst..

Accelerating Deep Neural Networks for Real-time Data Selection for High-resolution Imaging Particle Detectors

Luca P. Carloni, Giuseppe Di Guglielmo, Yeon-Jae Jwa, 2019, 2019 New York Scientific Data Summit (NYSDS).

Fast convolutional neural networks on FPGAs with hls4ml

Philip Harris, Javier Duarte, Yutaro Iiyama, 2021, Machine Learning: Science and Technology.

PAGURUS: Low-Overhead Dynamic Information Flow Tracking on Loosely Coupled Accelerators

Luca P. Carloni, Luca Piccolboni, Giuseppe Di Guglielmo, 2018, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems.

On the validation of embedded systems through functional ATPG

Giuseppe Di Guglielmo, G. D. Guglielmo, G. Di Guglielmo, 2008, 2008 Ph.D. Research in Microelectronics and Electronics.

Time-Constraint-Aware Optimization of Assertions in Embedded Software

M. Fujita, Zebo Peng, V. Izosimov, 2012, Journal of electronic testing.

Agile SoC Development with Open ESP : Invited Paper

Christian Pilato, Luca Piccolboni, Emilio G. Cota, 2020, 2020 IEEE/ACM International Conference On Computer Aided Design (ICCAD).

System-Level Optimization of Accelerator Local Memory for Heterogeneous Systems-on-Chip

Luca P. Carloni, Christian Pilato, Paolo Mantovani, 2017, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems.

Effective EFSM generation for HW/SW-design verification

Franco Fummi, Graziano Pravadelli, Giuseppe Di Guglielmo, 2010, 2010 12th Biennial Baltic Electronics Conference.

Compiler-Assisted Selection of Hardware Acceleration Candidates from Application Source Code

Giovanni Ansaloni, Georgios Zacharopoulos, Lorenzo Ferretti, 2019, 2019 IEEE 37th International Conference on Computer Design (ICCD).