Demonstration venue · read-only. Every page can be browsed; the buttons that would change it are switched off. Create an account to run TaxoReview on your own data. A simulation from public publication records: the people listed were not invited and did not agree to review.
? Tutorial for this page

Carl Christensen

dblp:29/6801 · DBLP profile ↗
← Back
8ranked-venue papers
2as first author
0since 2021 · last 2019
—ORCID · none

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

Applied, interdisciplinary, general and emerging computing · 4 · 1 first-authorArtificial intelligence and machine learning · 2 · 1 first-authorSystems, architecture and hardware · 2Software engineering, systems software and programming languages · 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
2 papers
Distributed systems · 41% Parallel and multicore computing · 26% Cloud and datacenter computing · 26%

Topics — the 10 heaviest of 10, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Cloud and datacenter computing
cluster resource management and scheduling
0.112006
Grid resource management - Designing a runtime system for volunteer computing · SC 2006
Parallel and multicore computing
parallel programming runtimes
0.112006
Grid resource management - Designing a runtime system for volunteer computing · SC 2006
Distributed systems › grid computing
volunteer computing
0.112006
Grid resource management - Designing a runtime system for volunteer computing · SC 2006
Distributed systems › fault tolerance
checkpointing
0.012006
Grid resource management - Designing a runtime system for volunteer computing · SC 2006
Distributed systems
fault tolerance
0.012006
Grid resource management - Designing a runtime system for volunteer computing · SC 2006
Electronic design automation
circuit simulation
0.011986
A workstation-mixed model circuit simulator · DAC 1986
Electronic design automation › hardware verification and test
fault simulation
0.011986
A workstation-mixed model circuit simulator · DAC 1986
Electronic design automation
hardware verification and test
0.011986
A workstation-mixed model circuit simulator · DAC 1986
Electronic design automation › hardware simulation › multilevel simulation
mixed-mode simulation
0.011986
A workstation-mixed model circuit simulator · DAC 1986
Electronic design automation › circuit simulation
switch-level simulation
0.011986
A workstation-mixed model circuit simulator · DAC 1986

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

BOINC middleware · 0.1STAFAN fault simulation · 0.0ADEPT timing simulation · 0.0
YearPublicationVenuePosition
2019 An ancillary genomics system to support the return of pharmacogenomic results
abstract
Existing approaches to managing genetic and genomic test results from external laboratories typically include filing of text reports within the electronic health record, making them unavailable in many cases for clinical decision support. Even when structured computable results are available, the lack of adopted standards requires considerations for processing the results into actionable knowledge, in addition to storage and management of the data. Here, we describe the design and implementation of an ancillary genomics system used to receive and process heterogeneous results from external laboratories, which returns a descriptive phenotype to the electronic health record in support of pharmacogenetic clinical decision support.
Luke V. Rasmussen, Maureen E. Smith, Federico Almaraz, Stephen D. Persell, Laura Rasmussen-Torvik, Jennifer A. Pacheco, Rex L. Chisholm, Carl Christensen, Timothy M. Herr, Firas H. Wehbe, Justin Starren
J. Am. Medical Informatics Assoc.8
2016 Design and Implementation of an Ancillary Genomics System for the Return of Pharmacogenetic Results
Luke V. Rasmussen, Maureen E. Smith, Federico Almaraz, Stephen D. Persell, Laura Rasmussen-Torvik, Jennifer A. Pacheco, Carl Christensen, Timothy M. Herr, Firas H. Wehbe, Justin Starren
AMIA7
2014 Combining elicited imitation and fluency features for oral proficiency measurement
Deryle W. Lonsdale, Carl Christensen
LREC2
2012 Integrating Research Recruitment into a Clinical Patient Portal
Luke V. Rasmussen, David Were, Jeff Lunt, Steve Lee, Carl Christensen, Warren A. Kibbe, Justin Starren
AMIA5
2010 Principled Construction of Elicited Imitation Tests
Carl Christensen, Ross Hendrickson, Deryle W. Lonsdale
LREC1
2006 Grid resource management - Designing a runtime system for volunteer computing
abstract
Volunteer computing is a form of distributed computing in which the general public volunteers processing and storage to scientific research projects. BOINC, a middleware system for volunteer computing, is currently used by about 20 projects, to which 300,000 volunteers and 450,000 computers supply 350 TeraFLOPS of processing power. A BOINC client program runs on the volunteered hosts and manages the execution of applications. Together with a library linked to applications, it implements a runtime system providing process management, graphics control, checkpointing, file access, and other functions. This runtime system must handle widely varying applications, must provide features and properties desired by volunteers, and must work on many platforms. This paper describes the problems in designing a runtime system having these properties, and how these problems are solved in BOINC.
David P. Anderson, Carl Christensen, Bruce Allen
SC2
2005 The Challenge of Volunteer Computing with Lengthy Climate Model Simulations
abstract
This paper describes the issues confronted by the climateprediction.net project in creating a volunteer computing project using a large legacy climate model application. This application typically takes from weeks to months to complete one simulation, and has large memory and disk usage requirements. We describe issues in porting the climate model to a single-processor PC platform, checkpointing, computer resources and workunit size for a simulation, and the volunteer computing infrastructures used (a project-specific system and BOINC). We also describe the methods used to obtain and retain users, and examine the retention/attrition rate of users running the lengthy modelling simulations
Carl Christensen, Tolu Aina, David A. Stainforth
e-Science1
1986 A workstation-mixed model circuit simulator
abstract
A new mixed mode simulator is described, which combines a behavioral timing simulator, a switch level simulator, and a new circuit-level simulator based upon the ADEPT timing simulation algorithm. These simulation algorithms are combined into a single, consistent, interactive MOS simulator. In addition, STAFAN fault simulation is provided at the transistor level to grade vectors to be used in the testing phase of design. In this paper, each algorithm is described as well as the interfacing required between each of the simulation methods.
Peter Odryna, Kevin Nazareth, Carl Christensen
DAC3