VOTED – Versal Optimization Toolkit for Education and Heterogeneous Systems Development

Despite classic educational approaches proving their effectiveness for classic hardware acceleration, they suffer novel heterogeneous systems such as Versal, requiring a deeper system-level awareness. Versal devices merge FPGA on-field programma-bility with the performance of hardened VLIW processors, namely AI Engine, at the cost of facing novel challenges when integrating these two different layers. Given the system complexity of such devices and the low-level knowledge required to leverage them, Versal potentialities have yet to be fully exploited. Therefore, we present VOTED, a Versal Optimization Toolkit for Education and Heterogeneous Systems Development, that guides users of any expertise in discovering, using, and optimizing Versal-based applications. VOTED proved to be effective, leading five different groups of students, at their first experience with heterogeneous system design, at devising quite complex Versal-based applications capable of reaching the final stages of a design competition and even winning it with four months of work.

Authors

Institutions

Publication Details

Published
2025-05-25
DOI
https://doi.org/10.1109/iscas56072.2025.11043842
Citations
1
Primary Topic
Systems Engineering Methodologies and Applications
Type
article
Field-Weighted Citation Impact
1.21
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

VOTED – Versal Optimization Toolkit for Education and Heterogeneous Systems Development

Davide Conficconi, Eleonora D’Arnese, Giuseppe Sorrentino, Paolo S. Galfano
1 citations
Systems Engineering Methodologies and Applications
1.21
article

VOTED – Versal Optimization Toolkit for Education and Heterogeneous Systems Development

Davide Conficconi, Eleonora D’Arnese, Giuseppe Sorrentino, Paolo S. Galfano
article en
1 citations

Abstract

Despite classic educational approaches proving their effectiveness for classic hardware acceleration, they suffer novel heterogeneous systems such as Versal, requiring a deeper system-level awareness. Versal devices merge FPGA on-field programma-bility with the performance of hardened VLIW processors, namely AI Engine, at the cost of facing novel challenges when integrating these two different layers. Given the system complexity of such devices and the low-level knowledge required to leverage them, Versal potentialities have yet to be fully exploited. Therefore, we present VOTED, a Versal Optimization Toolkit for Education and Heterogeneous Systems Development, that guides users of any expertise in discovering, using, and optimizing Versal-based applications. VOTED proved to be effective, leading five different groups of students, at their first experience with heterogeneous system design, at devising quite complex Versal-based applications capable of reaching the final stages of a design competition and even winning it with four months of work.

Politecnico di Milano (IT), University of Edinburgh (GB)
Openalex Percentile: Top 20%
Systems Engineering Methodologies and Applications
1.21
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

VOTED – Versal Optimization Toolkit for Education and Heterogeneous Systems Development — Davide Conficconi, Eleonora D’Arnese, et al. · (2025) | TGRS Research Map | TGRS