HLS Learning Approach: Efficient Optimization with Instruction Block Diagram

High-Level Synthesis (HLS) is a common approach for programming Field Programmable Gate Arrays (FPGAs) across various applications. HLS tools enable novice hardware designers to synthesize Register Transfer Level (RTL) representations from high-level software programming languages. However, adhering to a specific coding style and understanding the performance disparities post-synthesis can challenge new HLS users. This work introduces an Instruction Block Diagram (IBD) framework using inputs from the Vitis HLS Schedule Viewer to enhance the understanding of HLS compiler interpretation for the user code and guide optimization to improve efficiency.

Authors

Institutions

Publication Details

Published
2025-05-25
DOI
https://doi.org/10.1109/iscas56072.2025.11044149
Citations
1
Primary Topic
Educational Technology and Assessment
Type
article
Field-Weighted Citation Impact
3.25
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

HLS Learning Approach: Efficient Optimization with Instruction Block Diagram

Duc Dung Vu, Alexander Kroh, Ediz Cetin, Alan Kan
1 citations
Educational Technology and Assessment
3.25
article

HLS Learning Approach: Efficient Optimization with Instruction Block Diagram

Duc Dung Vu, Alexander Kroh, Ediz Cetin, Alan Kan
article en
1 citations

Abstract

High-Level Synthesis (HLS) is a common approach for programming Field Programmable Gate Arrays (FPGAs) across various applications. HLS tools enable novice hardware designers to synthesize Register Transfer Level (RTL) representations from high-level software programming languages. However, adhering to a specific coding style and understanding the performance disparities post-synthesis can challenge new HLS users. This work introduces an Instruction Block Diagram (IBD) framework using inputs from the Vitis HLS Schedule Viewer to enhance the understanding of HLS compiler interpretation for the user code and guide optimization to improve efficiency.

Macquarie University (AU)
Quality Education
Openalex Percentile: Top 8%
Educational Technology and Assessment
3.25
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.