activity
20192026
most citedCompressing deep neural networks on FPGAs to binary and ternary precision with HLS4ML

114 citations · 520 across the 15 of their papers we have counts for

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Showing 2020Show all

6 papers · 1 filter

cs.AR2020★ 95 cited

Agile SoC Development with Open ESP

Paolo Mantovani, Davide Giri, Giuseppe Di Guglielmo +6

ESP is an open-source research platform for heterogeneous SoC design. The platform combines a modular tile-based architecture with a variety of application-oriented flows for the d…

physics.ins-det2020★ 50 cited

Distance-Weighted Graph Neural Networks on FPGAs for Real-Time Particle Reconstruction in High Energy Physics

Yutaro Iiyama, Gianluca Cerminara, Abhijay Gupta +19

Graph neural networks have been shown to achieve excellent performance for several crucial tasks in particle physics, such as charged particle tracking, jet tagging, and clustering…

cs.CR2020★ 39 cited

CRYLOGGER: Detecting Crypto Misuses Dynamically

Luca Piccolboni, Giuseppe Di Guglielmo, Luca P. Carloni +1

Cryptographic (crypto) algorithms are the essential ingredients of all secure systems: crypto hash functions and encryption algorithms, for example, can guarantee properties such a…

cs.AR2020★ 33 cited

ESP4ML: Platform-Based Design of Systems-on-Chip for Embedded Machine Learning

Davide Giri, Kuan-Lin Chiu, Giuseppe Di Guglielmo +2

We present ESP4ML, an open-source system-level design flow to build and program SoC architectures for embedded applications that require the hardware acceleration of machine learni…

cs.LG2020★ 114 cited

Compressing deep neural networks on FPGAs to binary and ternary precision with HLS4ML

Giuseppe Di Guglielmo, Javier Duarte, Philip Harris +13

We present the implementation of binary and ternary neural networks in the hls4ml library, designed to automatically convert deep neural network models to digital circuits with FPG…

physics.comp-ph2020★ 78 cited

Fast inference of Boosted Decision Trees in FPGAs for particle physics

Sioni Summers, Giuseppe Di Guglielmo, Javier Duarte +10

We describe the implementation of Boosted Decision Trees in the hls4ml library, which allows the translation of a trained model into FPGA firmware through an automated conversion p…