Title :
Sonic Millip3De: A massively parallel 3D-stacked accelerator for 3D ultrasound
Author :
Sampson, R. ; Ming Yang ; Siyuan Wei ; Chakrabarti, Chaitali ; Wenisch, Thomas F.
Author_Institution :
Dept. of EECS, Univ. of Michigan, Ann Arbor, MI, USA
Abstract :
Three-dimensional (3D) ultrasound is becoming common for non-invasive medical imaging because of its high accuracy, safety, and ease of use. Unlike other modalities, ultrasound transducers require little power, which makes hand-held imaging platforms possible, and several low-resolution 2D devices are commercially available today. However, the extreme computational requirements (and associated power requirements) of 3D ultrasound image formation has, to date, precluded hand-held 3D capable devices. We describe the Sonic Millip3De, a new system architecture and accelerator for 3D ultrasound beamformation-the most computationally intensive aspect of image formation. Our three-layer die-stacked design features a custom beamsum accelerator that employs massive data parallelism and a streaming transform-select-reduce pipeline architecture enabled by our new iterative beamsum delay calculation algorithm. Based on RTL-level design and floorplanning for an industrial 45nm process, we show Sonic Millip3De can enable 3D ultrasound with a fully sampled 128×96 transducer array within a 16W full-system power budget (400× less than a conventional DSP solution) and will meet a 5W safe power target by the 11nm node.
Keywords :
iterative methods; medical image processing; 3D ultrasound image formation; RTL-level design; andfloorplanningfor; computational requirements; custom beamsum accelerator; handheld imaging platforms; iterative beamsum delay calculation algorithm; low-resolution 2D devices; massive data parallelism; massively parallel 3D-stacked accelerator; non-invasive medical imaging; power 16 W; power 5 W; power requirements; sonic Millip3De; three-dimensional ultrasound; three-layer die-stacked design features; transducer array; transform-select-reduce pipeline architecture; ultrasound transducers; Abstracts; Biomedical imaging; Clocks; Control systems;
Conference_Titel :
High Performance Computer Architecture (HPCA2013), 2013 IEEE 19th International Symposium on
Conference_Location :
Shenzhen
Print_ISBN :
978-1-4673-5585-8
DOI :
10.1109/HPCA.2013.6522329