We present the system-level design of two accelerators for two microwave imaging algorithms for breast cancer detection. The accelerators were designed in SystemC and optimized via High-Level Synthesis (HLS). The two algorithms stress the capabilities of commercial HLS tools in different ways: the first is communication-bound and requires careful pipelining of communication and computation; the second is computation-bound and requires the implementation of mathematical functions that are not properly supported by HLS tools. Still, in the span of four months we were able to design and validate about one hundred alternative implementations, targeting a Zynq SoC platform. Furthermore, we were pleased to obtain results that are superior to a previous RTL implementation, which confirms the remarkable progress of HLS tools.
Acceleration of Microwave Imaging Algorithms for Breast Cancer Detection via High-Level Synthesis / JAHIER PAGLIARI, Daniele; Casu, MARIO ROBERTO; Carloni, Luca P.. - ELETTRONICO. - (2015), pp. 475-478. (Intervento presentato al convegno 33rd IEEE International Conference on Computer Design (ICCD) tenutosi a New York City (USA) nel 18-21 Ottobre 2015) [10.1109/ICCD.2015.7357152].
Acceleration of Microwave Imaging Algorithms for Breast Cancer Detection via High-Level Synthesis
JAHIER PAGLIARI, DANIELE;CASU, MARIO ROBERTO;
2015
Abstract
We present the system-level design of two accelerators for two microwave imaging algorithms for breast cancer detection. The accelerators were designed in SystemC and optimized via High-Level Synthesis (HLS). The two algorithms stress the capabilities of commercial HLS tools in different ways: the first is communication-bound and requires careful pipelining of communication and computation; the second is computation-bound and requires the implementation of mathematical functions that are not properly supported by HLS tools. Still, in the span of four months we were able to design and validate about one hundred alternative implementations, targeting a Zynq SoC platform. Furthermore, we were pleased to obtain results that are superior to a previous RTL implementation, which confirms the remarkable progress of HLS tools.File | Dimensione | Formato | |
---|---|---|---|
ICCD15 - Proceedings version.pdf
non disponibili
Descrizione: Articolo principale
Tipologia:
2a Post-print versione editoriale / Version of Record
Licenza:
Non Pubblico - Accesso privato/ristretto
Dimensione
1.41 MB
Formato
Adobe PDF
|
1.41 MB | Adobe PDF | Visualizza/Apri Richiedi una copia |
medical_imaging_4pg.pdf
accesso aperto
Descrizione: Author copy
Tipologia:
2. Post-print / Author's Accepted Manuscript
Licenza:
PUBBLICO - Tutti i diritti riservati
Dimensione
821.44 kB
Formato
Adobe PDF
|
821.44 kB | Adobe PDF | Visualizza/Apri |
Pubblicazioni consigliate
I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
https://hdl.handle.net/11583/2616937