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

Ratko Jagodic

dblp:59/80 · DBLP profile ↗
← Back
5ranked-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 · 3 · 1 first-authorApplied, interdisciplinary, general and emerging computing · 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 graphics and multimedia
1 paper
Visualization and visual analytics · 77% Virtual and augmented reality · 23%
Computer architecture, parallel and distributed computing, and storage systems
1 paper
High-performance computing · 33% Cloud and datacenter computing · 33% Distributed systems · 33%

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

TopicWeightPapersLastEvidence papers
Visualization and visual analytics › display technology
tiled display wall
0.212013
Scalable Resolution Display Walls · Proc. IEEE 2013
Cloud and datacenter computing › cloud applications
graphics streaming
0.112006
Grid applications - High-performance dynamic graphics streaming for scalable adaptive graphics environment · SC 2006
Distributed systems
middleware
0.112006
Grid applications - High-performance dynamic graphics streaming for scalable adaptive graphics environment · SC 2006
High-performance computing › scientific visualization
remote visualization
0.112006
Grid applications - High-performance dynamic graphics streaming for scalable adaptive graphics environment · SC 2006

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

tiled flat panel display · 0.2middleware architecture · 0.2
YearPublicationVenuePosition
2013 Scalable Resolution Display Walls
abstract
This article will describe the progress since 2000 on research and development in 2-D and 3-D scalable resolution display walls that are built from tiling individual lower resolution flat panel displays. The article will describe approaches and trends in display hardware construction, middleware architecture, and user-interaction design. The article will also highlight examples of use cases and the benefits the technology has brought to their respective disciplines.
Jason Leigh, Andrew E. Johnson 0001, Luc Renambot, Tom Peterka, Byungil Jeong, Dan Sandin, Jonas Talandis, Ratko Jagodic, Sungwon Nam, Hyejung Hur
Proc. IEEE8
2011 Enabling multi-user interaction in large high-resolution distributed environments
Ratko Jagodic, Luc Renambot, Andrew E. Johnson 0001, Jason Leigh, Sachin Deshpande
Future Gener. Comput. Syst.1
2006 LambdaBridge: A Scalable Architecture for Future Generation Terabit Applications
abstract
LambdaGrid applications as typified by data-intensive collaborative visualization are likely to be the first users of terabit-level networking. This paper features a main enabler of collaborative visualization over LambdaGrid, the Scalable Adaptive Graphics Environment (SAGE) in particular, and anticipates the future needs of LambdaGrid applications in general. We present a scalable architecture called LambdaBridge to 'bridge' LambdaGrid applications with the terabit optical core networks. LambdaBridge will provision and control predictable- performance networks for end-systems (i.e. Grid clusters) using on-demand lambda/VLAN provisioning and end-system traffic shaping. The chief contribution of LambdaBridge is a deep understanding of how to synergistically bridge provisionable networks, end-systems, and future generation distributed terabit applications. This paper also introduces Scalable Visualcasting - a multicasting service for LambdaGrid that incorporates IP multicasting and optical multicasting.
Venkatram Vishwanath, Byungil Jeong, Ratko Jagodic, Eric He, Luc Renambot, Andrew E. Johnson 0001, Jason Leigh
BROADNETS4
2006 Grid applications - High-performance dynamic graphics streaming for scalable adaptive graphics environment
abstract
The Scalable Adaptive Graphics Environment (SAGE) is specialized middleware for enabling data, high-definition video and extremely high-resolution graphics to be streamed in real-time from remotely distributed rendering and storage clusters to scalable display walls over ultra-high-speed networks. In this paper, we present the SAGE architecture, focusing on its dynamic graphics streaming capability. In the SAGE framework, multiple visualization applications can be streamed to large tiled displays and viewed at the same time. The application windows can be moved, resized and overlapped like any standard desktop window manager. Every window movement or resize operation requires dynamic and non-trivial reconfiguration of the involved graphics streams. This approach has been successfully shown to scale to support streaming on the LambdaVision 100 Megapixel display wall. SAGE is now being extended to support distance collaboration with multiple endpoints by streaming visualization to all the participants.
Byungil Jeong, Luc Renambot, Ratko Jagodic, Rajvikram Singh, Julieta Aguilera, Andrew E. Johnson 0001, Jason Leigh
SC3
2006 The global lambda visualization facility: An international ultra-high-definition wide-area visualization collaboratory
Jason Leigh, Luc Renambot, Andrew E. Johnson 0001, Byungil Jeong, Ratko Jagodic, Nicholas Schwarz, Dmitry Svistula, Rajvikram Singh, Julieta Aguilera, Venkatram Vishwanath, Brenda Lopez, Dan Sandin, Tom Peterka, Javier Girado, Robert Kooima, Jinghua Ge, Lance Long, Alan Verlo, Thomas A. DeFanti, Maxine D. Brown, Donna J. Cox, Robert Patterson, Patrick Dorn, Paul Wefel, Stuart Levy, Jonas Talandis, Joe Reitzer, Tom Prudhomme, Tom Coffin, Paul Wielinga, Bram Stolk, Gee Bum Koo, Jaeyoun Kim, Sangwoo Han, Jongwon Kim 0001, Brian Corrie II, Todd Zimmerman, Pierre Boulanger, Manuel Garcia
Future Gener. Comput. Syst.5