VisLunch/Spring2011/ - Revision history

Prosen: /* May 27: Xavier Tricoche */

2011-05-22T20:28:11Z

May 27: Xavier Tricoche

← Older revision		Revision as of 20:28, 22 May 2011
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	=== May 27: ~~Xavier Tricoche~~ ===		=== May 27: A Unifying Formalism To Analyze the Structure of Physical Systems ===
	'''Speaker: Xavier Tricoche'''		'''Speaker: Xavier Tricoche'''

Prosen: /* Sessions */

2011-05-22T20:27:34Z

Sessions

← Older revision		Revision as of 20:27, 22 May 2011
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	! rowspan=1 \| April 29 \|\| Jens Krüger \|\| What's Jens been up to?		! rowspan=1 \| April 29 \|\| Jens Krüger \|\| What's Jens been up to?
			\|-
			! rowspan=1 \| May 27 \|\| Xavier Tricoche \|\| A Unifying Formalism To Analyze the Structure of Physical Systems
	\|-		\|-
	\|}		\|}
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	In this talk I will give an overview of recent developments in the ImageVis3D family and other projects at the Interactive Visualization and Data Analysis (IVDA) group in Saarbrücken. These projects range from developments for large and distributed display systems, new methods for the improvement of LIC images, to research in the area of human computer interaction with the goal to automatically generate user interfaces for visualization applications. The motivation for this talk is not only to give you an insight into IVDA research but also look for new collaborations between SCI and my group in Saarbrücken, and--most importantly--to grab some pizza :-) .		In this talk I will give an overview of recent developments in the ImageVis3D family and other projects at the Interactive Visualization and Data Analysis (IVDA) group in Saarbrücken. These projects range from developments for large and distributed display systems, new methods for the improvement of LIC images, to research in the area of human computer interaction with the goal to automatically generate user interfaces for visualization applications. The motivation for this talk is not only to give you an insight into IVDA research but also look for new collaborations between SCI and my group in Saarbrücken, and--most importantly--to grab some pizza :-) .




			=== May 27: Xavier Tricoche ===
			'''Speaker: Xavier Tricoche'''

			''A Unifying Formalism To Analyze the Structure of Physical Systems''

			A significant research effort in Visualization has traditionally focused on the investigation of mathematical models that can effectively capture the essential properties of numerical datasets and map them to insightful visual representations. Various interpretations of the notion of topology have been extensively studied in this context by authors striving to articulate a universal definition of structure. Despite this impressive body of work and quite remarkable achievements much remains to be wished for. In particular, this approach has lost momentum in the very application domains that initially sparked interest in a topological formalism such as fluid dynamics and solid mechanics.

			In this talk I will discuss a general approach rooted in dynamical systems theory and differential geometry to characterize the geometric structure of physical systems in their multifield and multivariate description. I will show that the corresponding formalism shares deep mathematical connections with topology as it has been instantiated in the context of vector and tensor field visualization, though it achieves much more compelling results in various applications. I will illustrate the versatility of this new model in problems related to fluid flows, medical image analysis, mechanics, and fusion research.

Prosen: /* Sessions */

2011-04-28T19:14:41Z

Sessions

← Older revision		Revision as of 19:14, 28 April 2011
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	! rowspan=1 \| April 22 \|\| Prof. Nat Smale \|\| Cohomology and Hodge Theory at a Fixed Scale for Metric Spaces		! rowspan=1 \| April 22 \|\| Prof. Nat Smale \|\| Cohomology and Hodge Theory at a Fixed Scale for Metric Spaces
			\|-
			! rowspan=1 \| April 29 \|\| Jens Krüger \|\| What's Jens been up to?
	\|-		\|-
	\|}		\|}
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	A cohomology and Hodge theory at a fixed scale for metric spaces will be presented. For smooth manifolds, the topology can be described by the de Rham cohomology. Hodge, in a beautiful synthesis of analysis, geometry and topology showed this was equivalent to spaces of harmonic forms. The work described here is an attempt (in some cases successful) to extend these results to a more general setting, such as metric spaces, including data sets.		A cohomology and Hodge theory at a fixed scale for metric spaces will be presented. For smooth manifolds, the topology can be described by the de Rham cohomology. Hodge, in a beautiful synthesis of analysis, geometry and topology showed this was equivalent to spaces of harmonic forms. The work described here is an attempt (in some cases successful) to extend these results to a more general setting, such as metric spaces, including data sets.


			=== April 22: Jens Krüger===
			'''Speaker: Jens Krüger'''

			''What's Jens been up to?''

			In this talk I will give an overview of recent developments in the ImageVis3D family and other projects at the Interactive Visualization and Data Analysis (IVDA) group in Saarbrücken. These projects range from developments for large and distributed display systems, new methods for the improvement of LIC images, to research in the area of human computer interaction with the goal to automatically generate user interfaces for visualization applications. The motivation for this talk is not only to give you an insight into IVDA research but also look for new collaborations between SCI and my group in Saarbrücken, and--most importantly--to grab some pizza :-) .

Prosen: /* Sessions */

2011-04-18T23:23:29Z

Sessions

← Older revision		Revision as of 23:23, 18 April 2011
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	! rowspan=1 \| April 15 \|\| Josh Levine \|\| Interpreting Performance Data Across Intuitive Domains		! rowspan=1 \| April 15 \|\| Josh Levine \|\| Interpreting Performance Data Across Intuitive Domains
	\|-		\|-
	! rowspan=1 \| April 22 \|\| Prof. Nat Smale \|\| ~~TBA~~		! rowspan=1 \| April 22 \|\| Prof. Nat Smale \|\| Cohomology and Hodge Theory at a Fixed Scale for Metric Spaces
	\|-		\|-
	\|}		\|}
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	Joint work with Peyman Afshani, Lars Arge, Pankaj Agarwal, and Kasper Green Larsen		Joint work with Peyman Afshani, Lars Arge, Pankaj Agarwal, and Kasper Green Larsen

	~~=== March 4: TBA===~~
	~~'''Speaker:'''~~
	=== March 11: Topo in Vis Practice Talk ===		=== March 11: Topo in Vis Practice Talk ===
	'''Speaker: Shreeraj Jadhav'''		'''Speaker: Shreeraj Jadhav'''
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	QBox, and large-scale laser-plasma interaction using pF3D.		QBox, and large-scale laser-plasma interaction using pF3D.

	=== April 22: ~~TBA~~===		=== April 22: Nat Smale===
	'''Speaker: Nat Smale'''		'''Speaker: Nat Smale'''

			''Cohomology and Hodge Theory at a Fixed Scale for Metric Spaces''

			A cohomology and Hodge theory at a fixed scale for metric spaces will be presented. For smooth manifolds, the topology can be described by the de Rham cohomology. Hodge, in a beautiful synthesis of analysis, geometry and topology showed this was equivalent to spaces of harmonic forms. The work described here is an attempt (in some cases successful) to extend these results to a more general setting, such as metric spaces, including data sets.

Kpotter: /* Sessions */

2011-04-13T22:08:54Z

Sessions

← Older revision		Revision as of 22:08, 13 April 2011
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	! rowspan=1 \| April 8 \|\| Miriah Meyer \|\| Visualizing Biological Data		! rowspan=1 \| April 8 \|\| Miriah Meyer \|\| Visualizing Biological Data
	\|-		\|-
	! rowspan=1 \| April 15 \|\| Josh Levine \|\| ~~TBA~~		! rowspan=1 \| April 15 \|\| Josh Levine \|\| Interpreting Performance Data Across Intuitive Domains
	\|-		\|-
	! rowspan=1 \| April 22 \|\| Prof. Nat Smale \|\| TBA		! rowspan=1 \| April 22 \|\| Prof. Nat Smale \|\| TBA

Kpotter: /* April 15: TBA */

2011-04-13T22:08:34Z

April 15: TBA

← Older revision		Revision as of 22:08, 13 April 2011
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	Visualization tools are essential for deriving meaning from the avalanche of data we are generating today. To facilitate an understanding of the complex relationships embedded in this data, visualization research leverages the power of the human perceptual and cognitive systems, encoding meaning through images and enabling exploration through human-computer interactions. In my research I design visualization systems that support exploratory, complex data analysis tasks by scientists who are analyzing large amounts of heterogeneous data. These systems allow users to validate their computational models, to understand their underlying data in detail, and to develop new hypotheses and insights. My research process includes five distinct stages, from targeting a specific group of domain experts and their scientific goals through validating the efficacy of the visualization system. In this talk I'll describe a user-centered, methodological approach to designing and developing visualization tools and present several successful visualization projects in the areas of genomics and systems biology. I will also discuss generalizations that arise from working on focused, visualization projects as well as long term implications for the field.		Visualization tools are essential for deriving meaning from the avalanche of data we are generating today. To facilitate an understanding of the complex relationships embedded in this data, visualization research leverages the power of the human perceptual and cognitive systems, encoding meaning through images and enabling exploration through human-computer interactions. In my research I design visualization systems that support exploratory, complex data analysis tasks by scientists who are analyzing large amounts of heterogeneous data. These systems allow users to validate their computational models, to understand their underlying data in detail, and to develop new hypotheses and insights. My research process includes five distinct stages, from targeting a specific group of domain experts and their scientific goals through validating the efficacy of the visualization system. In this talk I'll describe a user-centered, methodological approach to designing and developing visualization tools and present several successful visualization projects in the areas of genomics and systems biology. I will also discuss generalizations that arise from working on focused, visualization projects as well as long term implications for the field.

	=== April 15: ~~TBA~~===		=== April 15: Josh Levine ===
	'''Speaker: Josh Levine'''		'''Speaker: Josh Levine'''

Kpotter: /* April 15: TBA */

2011-04-13T22:08:18Z

April 15: TBA

← Older revision		Revision as of 22:08, 13 April 2011
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	=== April 15: TBA===		=== April 15: TBA===
	'''Speaker: Josh Levine'''		'''Speaker: Josh Levine'''

			''Interpreting Performance Data Across Intuitive Domains''

			To exploit the capabilities of current and future systems, developers
			must understand the interplay between on-node performance, domain
			decomposition, and applications' intrinsic communication patterns.
			While tools exist to gather and analyze data for each of these
			components individually, the resulting information is generally
			processed in isolation and presented in an abstract, categorical
			fashion unintuitive to most users. In this work we present the HAC
			model, in which we identify the three domains of performance data most
			familiar to the user: (i) the physical domain of the application data,
			(ii) the hardware domain of the compute and network devices, and (iii)
			the communication domain of logical data transfers.

			We show that taking data from each of these domains and projecting,
			visualizing, and correlating it to the other domains can give valuable
			insights into the behavior of parallel application codes. This work
			opens the door for a new generation of tools that can help users more
			easily and intuitively associate performance data with root causes in
			the hardware system, the application's structure, and in its
			communication behavior, and by doing so leads to an improved
			understanding of the performance of their codes. Case studies I will
			discuss include performance characteristics for Miranda hydrodynamics
			simulations, algebraic multigrid (AMG), atomistic simulations using
			QBox, and large-scale laser-plasma interaction using pF3D.

	=== April 22: TBA===		=== April 22: TBA===
	'''Speaker: Nat Smale'''		'''Speaker: Nat Smale'''

Kpotter: /* Sessions */

2011-03-31T18:42:06Z

Sessions

← Older revision		Revision as of 18:42, 31 March 2011
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	! Tom Fogal \|\| Efficient I/O for Parallel Visualization		! Tom Fogal \|\| Efficient I/O for Parallel Visualization
	\|-		\|-
	! rowspan=1 \| April 8 \|\| ~~Erik Anderson~~ \|\| ~~A User Study of Visualization Effectiveness Using EEG and Cognitive Load~~		! rowspan=1 \| April 8 \|\| Miriah Meyer \|\| Visualizing Biological Data
	\|-		\|-
	! rowspan=1 \| April 15 \|\| Josh Levine \|\| TBA		! rowspan=1 \| April 15 \|\| Josh Levine \|\| TBA

Kpotter: /* April 8: */

2011-03-31T18:41:24Z

April 8:

← Older revision		Revision as of 18:41, 31 March 2011
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	While additional cores and newer architectures, such as those provided by GPU clusters, steadily increase available compute power, memory and disk access have not kept pace. It is therefore of critical importance that we develop algorithms which make effective use of off-processor storage, and communicate how to effectively utilize parallel filesystems to developers of the growing body of software targeted at parallel supercomputing environments. With this work, we outline a series of popular pitfalls observed in code written from a serial mindset, expound on the reasons these practices lead to poor performance, and present a series of results which highlight the characteristics of modern supercomputing I/O systems.		While additional cores and newer architectures, such as those provided by GPU clusters, steadily increase available compute power, memory and disk access have not kept pace. It is therefore of critical importance that we develop algorithms which make effective use of off-processor storage, and communicate how to effectively utilize parallel filesystems to developers of the growing body of software targeted at parallel supercomputing environments. With this work, we outline a series of popular pitfalls observed in code written from a serial mindset, expound on the reasons these practices lead to poor performance, and present a series of results which highlight the characteristics of modern supercomputing I/O systems.

	=== April 8: ===		=== April 8: Miriah Meyer ===
			'''Speaker: Miriah Meyer'''

			''Visualizing Biological Data''

			Visualization tools are essential for deriving meaning from the avalanche of data we are generating today. To facilitate an understanding of the complex relationships embedded in this data, visualization research leverages the power of the human perceptual and cognitive systems, encoding meaning through images and enabling exploration through human-computer interactions. In my research I design visualization systems that support exploratory, complex data analysis tasks by scientists who are analyzing large amounts of heterogeneous data. These systems allow users to validate their computational models, to understand their underlying data in detail, and to develop new hypotheses and insights. My research process includes five distinct stages, from targeting a specific group of domain experts and their scientific goals through validating the efficacy of the visualization system. In this talk I'll describe a user-centered, methodological approach to designing and developing visualization tools and present several successful visualization projects in the areas of genomics and systems biology. I will also discuss generalizations that arise from working on focused, visualization projects as well as long term implications for the field.

	=== April 15: TBA===		=== April 15: TBA===

Kpotter: /* March 11: Topo in Vis Practice Talk */

2011-03-31T16:40:43Z

March 11: Topo in Vis Practice Talk

← Older revision		Revision as of 16:40, 31 March 2011
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	'''Speaker:'''		'''Speaker:'''
	=== March 11: Topo in Vis Practice Talk ===		=== March 11: Topo in Vis Practice Talk ===
	'''Speaker: Shreeraj Jadhav ''''		'''Speaker: Shreeraj Jadhav'''

	''Consistent Approximation of Local Flow Behavior for 2D Vector Fields using Edge Maps''		''Consistent Approximation of Local Flow Behavior for 2D Vector Fields using Edge Maps''