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Kyle T. Mandli

dblp:84/10544 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2017
0000-0002-8267-5989ORCID · verified

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
Emerging computing paradigms · 77% High-performance computing · 23%

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

TopicWeightPapersLastEvidence papers
Emerging computing paradigms › analog computing
analog and hybrid computation		 0.312017
Hybrid analog-digital solution of nonlinear partial differential equations · MICRO 2017
Emerging computing paradigms
analog computing		 0.312017
Hybrid analog-digital solution of nonlinear partial differential equations · MICRO 2017
High-performance computing › scientific computing systems
partial differential equation solver		 0.112017
Hybrid analog-digital solution of nonlinear partial differential equations · MICRO 2017
High-performance computing
scientific computing systems		 0.112017
Hybrid analog-digital solution of nonlinear partial differential equations · MICRO 2017

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

analog-digital hybrid computation · 0.3
YearPublicationVenuePosition
2017 Hybrid analog-digital solution of nonlinear partial differential equations
abstract
We tackle the important problem class of solving nonlinear partial differential equations. While nonlinear PDEs are typically solved in high-performance supercomputers, they are increasingly used in graphics and embedded systems, where efficiency is important.
Yipeng Huang 0001, Mingoo Seok, Yannis P. Tsividis, Kyle T. Mandli, Simha Sethumadhavan
 MICRO5