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Anthony Scudiero

dblp:157/2878 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2014
—ORCID · none

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

Systems, architecture and hardware · 1

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
Integrated circuit design · 46% High-performance computing · 23% Energy-efficient computing · 23%

Topics — the 4 heaviest of 5, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
High-performance computing › supercomputing
exascale computing
0.212014
Scaling the Power Wall: A Path to Exascale · SC 2014
Integrated circuit design
low-power circuit design
0.212014
Scaling the Power Wall: A Path to Exascale · SC 2014
Integrated circuit design › memory circuit design
low-voltage SRAM
0.212014
Scaling the Power Wall: A Path to Exascale · SC 2014
Energy-efficient computing
power wall
0.212014
Scaling the Power Wall: A Path to Exascale · SC 2014

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

power modeling · 0.2architectural simulation · 0.2
YearPublicationVenuePosition
2014 Scaling the Power Wall: A Path to Exascale
abstract
Modern scientific discovery is driven by an insatiable demand for computing performance. The HPC community is targeting development of supercomputers able to sustain 1 ExaFlops by the year 2020 and power consumption is the primary obstacle to achieving this goal. A combination of architectural improvements, circuit design, and manufacturing technologies must provide over a 20× improvement in energy efficiency. In this paper, we present some of the progress NVIDIA Research is making toward the design of Exascale systems by tailoring features to address the scaling challenges of performance and energy efficiency. We evaluate several architectural concepts for a set of HPC applications demonstrating expected energy efficiency improvements resulting from circuit and packaging innovations such as low-voltage SRAM, low-energy signalling, and on-package memory. Finally, we discuss the scaling of these features with respect to future process technologies and provide power and performance projections for our Exascale research architecture.
Oreste Villa, Daniel R. Johnson, Mike O'Connor, Evgeny Bolotin, David W. Nellans, Justin Luitjens, Nikolai Sakharnykh, Paulius Micikevicius, Anthony Scudiero, Stephen W. Keckler, William J. Dally
SC10