Advances in data acquisition techniques have resulted in a volume of data that is considerably larger than that accumulated in the past. The influx of data has given rise to a new trend of processing big data through the use of streaming framework. In this paper, we pro- pose a system called ViStream, which executes applications on out-of-core data in Vivaldi. Vivaldi is a domain specific language for heterogeneous distributed systems. We improved the language to enable the rendering of primitives through the use of OpenGL and tested applications that can be processed on out-of-core data. Specifically, three applications were validated. First, we executed an application that uses streaming, that is, histogram matching for 1.3 TB of zebrafis...
In this work, we focus on efficient compression and streaming of frames rendered from a dynamic 3D ...
In this tutorial paper we present the results of recent research findings in the area of data stream...
International audienceRecently, increasingly large amounts of data are generated from a variety of s...
(Figure Presented) As the size of image data from microscopes and telescopes increases, the need for...
In visualization applications, the data has been increasing its size at very big rates. Processing o...
© 2019 Association for Computing Machinery. All rights reserved. Processing high-volume, high-veloci...
This dissertation addresses a growing challenge of visual analytics for data-driven science by prese...
In visualization applications, the data has been increasing its size at very big rates. Processing o...
Streamsurfaces are one of the powerful visualization tools, which are used to gain insight into char...
We propose a new approach to efficiently render large volumetric data sets. The system achieves inte...
Abstract. Connecting expensive and scarce visual data analysis resources to end-users is a major cha...
International audienceWe propose a new approach to efficiently render large volumetric data sets. Th...
We conducted a feasibility study to research modifications to data-flow architectures to enable data...
The size and detail of graphics environments in everyday use has gone up considerably recently. Stil...
Big data poses new challenges and the need for flexible, interactive, and dynamic visualization tech...
In this work, we focus on efficient compression and streaming of frames rendered from a dynamic 3D ...
In this tutorial paper we present the results of recent research findings in the area of data stream...
International audienceRecently, increasingly large amounts of data are generated from a variety of s...
(Figure Presented) As the size of image data from microscopes and telescopes increases, the need for...
In visualization applications, the data has been increasing its size at very big rates. Processing o...
© 2019 Association for Computing Machinery. All rights reserved. Processing high-volume, high-veloci...
This dissertation addresses a growing challenge of visual analytics for data-driven science by prese...
In visualization applications, the data has been increasing its size at very big rates. Processing o...
Streamsurfaces are one of the powerful visualization tools, which are used to gain insight into char...
We propose a new approach to efficiently render large volumetric data sets. The system achieves inte...
Abstract. Connecting expensive and scarce visual data analysis resources to end-users is a major cha...
International audienceWe propose a new approach to efficiently render large volumetric data sets. Th...
We conducted a feasibility study to research modifications to data-flow architectures to enable data...
The size and detail of graphics environments in everyday use has gone up considerably recently. Stil...
Big data poses new challenges and the need for flexible, interactive, and dynamic visualization tech...
In this work, we focus on efficient compression and streaming of frames rendered from a dynamic 3D ...
In this tutorial paper we present the results of recent research findings in the area of data stream...
International audienceRecently, increasingly large amounts of data are generated from a variety of s...