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Richard Sampson

dblp:130/7650 · DBLP profile ↗
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1ranked-venue papers
1as first author
0since 2021 · last 2013
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Systems, architecture and hardware · 1 · 1 first-author

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Computer architecture, parallel and distributed computing, and storage systems
1 paper
Hardware accelerators and domain-specific architectures · 50% Parallel and multicore computing · 50%
Interdisciplinary, comprehensive, and emerging computing
1 paper
Medical and health informatics · 100%

Topics — the 3 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Parallel and multicore computing
data parallelism
0.212013
Sonic Millip3De: A massively parallel 3D-stacked accelerator for 3D ultrasound · HPCA 2013
Medical and health informatics › medical imaging › ultrasound imaging
3d ultrasound
0.012013
Sonic Millip3De: A massively parallel 3D-stacked accelerator for 3D ultrasound · HPCA 2013
Medical and health informatics
medical imaging
0.012013
Sonic Millip3De: A massively parallel 3D-stacked accelerator for 3D ultrasound · HPCA 2013

Methods — techniques the papers use, named apart from their topics

floorplanning · 0.3RTL design · 0.3
YearPublicationVenuePosition
2013 Sonic Millip3De: A massively parallel 3D-stacked accelerator for 3D ultrasound
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.
Richard Sampson, Ming Yang 0004, Siyuan Wei, Chaitali Chakrabarti, Thomas F. Wenisch
HPCA1