TACC Research

R&D to improve technology and provide innovative tools for scientific discovery


Performance Monitoring & Optimization

TACC provides job-level activity and system level tools and technologies to make users more efficient and effective.

Investigates how machine learning techniques can be use to optimize the use of distributed infrastructures.
A Lua based module system that easily handles the MODULEPATH Hierarchical problem.
Robert McLay
mclay@tacc.utexas.edu
An easy-to-use performance diagnosis tool for HPC applications.
James Browne
browne@cs.utexas.edu
A real-time, 48-hour race between teams of undergraduate or high-school students to build and deploy small cluster computers on the exhibit floor at the annual SC conference.
An infrastructure for the low-overhead collection of system-wide performance data that integrates information from a variety of sources.
A tool that allows supercomputer support staff to collect and understand job-level information about the libraries and executables that end-users access during their jobs.
Robert McLay
mclay@tacc.utexas.edu

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Visual Analytics

Visual analytics advances science and technology developments in analytical reasoning, interaction, data transformations and representations for computation and visualization, analytic reporting, and technology transition.

Create a navigable, three-dimensional digital model of Villa A at Oplontis, fully documenting its setting, architecture, and decor.
Heriberto Nieto
hnieto@tacc.utexas.edu
Focused on the Activity Centers proposed in CAMPO 2035 Plan and proposed to use an innovative model for planning future development that integrates economic development opportunities and housing choices with mobility.
Paul Navratil
pnav@tacc.utexas.edu
Will develop the software tools, skills, and knowledge base to allow humanities researchers to use visualization.
 

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Machine Learning & Analytics

At the edge of statistics, computer science and emerging applications in industry, machine learning and analytics focus on the development of fast and efficient algorithms for real-time processing of data as a main goal to deliver accurate predictions of various kinds.

Meeting the needs of faculty and researchers for data collection services, and contributing to the potential of data-driven research to make discoveries.
Simplifying data management for administrators and researchers while reducing the overall cost of next-generation storage systems.
Dan Stanzione
dan@tacc.utexas.edu

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Next Generation Portals & Interfaces

The effective use of advanced computing resources is a challenge to researchers. Providing powerful and intuitive interfaces accelerates the rate at which science can be performed by allowing researchers to focus on scientific exploration rather than technological hurdles.

An open-access online community resource for Arabidopsis model plant research.
Matthew Vaughn
vaughn@tacc.utexas.edu
Allows researchers to perform drug screening using the Autodock Vina (Scripps) program on the Lonestar4 supercomputer to search more than 700,000 drug-like compounds in only a few hours.
Stephen Mock
mock@tacc.utexas.edu
To develop and operate computational resources in support of grand challenges in the life sciences.
Matthew Vaughn
vaughn@tacc.utexas.edu
A web interface for users to manage their TACC account, projects, and allocations.
Matthew Hanlon
email@tacc.utexas.edu
A web portal that provides immunology researchers with powerful data analysis infrastructure.
A single virtual system that scientists can use to interactively share computing resources, data and expertise, including Replication Service, XSEDE Online Information, XSEDE User Portal, and XSEDE User Portal Mobile.

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Health Informatics & Compliance

Health informatics is the study of resources and methods for the management of health information. TACC is capable of handling research with data sets containing personalized health information through HIPAA and FISMA compliance. This enables deeper connections to clinical studies and research in human health.

Create a detailed spatial-temporal molecular atlas of the developing lung in preterm infants to young children.
Develop a computational foundation utilizing relational database management system to significantly enhance the comparative analysis of RNA sequences.
Develop the integrated resources available at iPlant and Animal QTLdb, thereby leveraging the prior national funding in cyberinfrastructure to ultimately address issues of importance to the livestock industry.
Matthew Vaughn
vaughn@tacc.utexas.edu
Allows researchers to perform drug screening using the Autodock Vina (Scripps) program on the Lonestar4 supercomputer to search more than 700,000 drug-like compounds in only a few hours.
Stephen Mock
mock@tacc.utexas.edu
Elucidate early embryonic cardiac adaptations in response to altered blood flow conditions, and the progression of these adaptations at later stages of cardiac development.
Provide a better understanding of how genes are affected by structural and chemical modifications of DNA and the chromosomes in which it is housed.
Matthew Vaughn
vaughn@tacc.utexas.edu
Identify quantitative image-based biomarkers that are predictive of successful outcomes following reperfusion therapy.
A web portal that provides immunology researchers with powerful data analysis infrastructure.

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Future Vislab Technologies

Future Visualization Laboratories will play a crucial role in the field by creating and customizing interactive visualization systems that can support the tasks of understanding, analyzing and making decisions based on Big Data, both in a laboratory and out on the field. These systems will combine multiple technologies (e.g., virtual reality, augmented reality, 2D visualizations, gesture-based interactions) in ways that scientists and scholars can easily integrate into their normal workflows.

Create a navigable, three-dimensional digital model of Villa A at Oplontis, fully documenting its setting, architecture, and decor.
Heriberto Nieto
hnieto@tacc.utexas.edu
To recreate the art exhibit for Sir Joshua Reynolds (1723-1792) that took place at the British Institution in Pall Mall, London on May 24, 1813.
Heriberto Nieto
hnieto@tacc.utexas.edu
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Cyberinfrastructure Systems

Solving the world's biggest problems requires the world's biggest solutions and TACC's advanced computing systems are among the most powerful in the world. These systems are fundamental to science and society, allowing researchers to push the boundaries of human knowledge and tackle the biggest scientific challenges we face today.

Faculty, students, and staff work collaboratively to develop campus-wide cloud computing expertise at UT via a program of research talks, training workshops, course offerings, and online documentation.
A real-time, 48-hour race between teams of undergraduate or high-school students to build and deploy small cluster computers on the exhibit floor at the annual SC conference.
Superior, comprehensive scientific capabilities that provide research advantages that enable breakthrough results and impact science, attract superior faculty and students, and attract funding to UT System institutions.
Preston Broadfoot
pbroadfoot@utsystem.edu
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Cyberinfrastructure Community Services

In this day and age, conducting scientific research relies on the analysis and interpretation of tremendous amounts of data. To find meaning in this sea of information, researchers must first be able to organize, store, and share their data. Once data are stored, researchers are able to leverage the advances in data analysis and computing capabilities to enable the systems at TACC to bring understanding and structure to these complex problems and highlight interesting results.

Meeting the needs of faculty and researchers for data collection services, and contributing to the potential of data-driven research to make discoveries.
A real-time, 48-hour race between teams of undergraduate or high-school students to build and deploy small cluster computers on the exhibit floor at the annual SC conference.
A web interface for users to manage their TACC account, projects, and allocations.
Matthew Hanlon
email@tacc.utexas.edu
Superior, comprehensive scientific capabilities that provide research advantages that enable breakthrough results and impact science, attract superior faculty and students, and attract funding to UT System institutions.
Preston Broadfoot
pbroadfoot@utsystem.edu
A single virtual system that scientists can use to interactively share computing resources, data and expertise, including Replication Service, XSEDE Online Information, XSEDE User Portal, and XSEDE User Portal Mobile.
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Next Generation Computing Systems

What will TACC build next? TACC leadership and staff are constantly monitoring, evaluating and developing new and innovative technologies in the marketplace to consider what next generation of computer systems will be most effective for science and engineering. Projects in this category are early and experimental technology evaluations, usually in collaboration with industry partners, that look at the efficacy of future system designs. TACC maintains its own expertise in this area creating new frontiers and new challenges for next generation computing.

The ACELab develops and packages open source benchmarks appropriate for the HPC environment.
Simplifying data management for administrators and researchers while reducing the overall cost of next-generation storage systems.
Dan Stanzione
dan@tacc.utexas.edu
Developing new materials to teach the scientific community how to adapt their codes for the Intel MIC Architecture.
To identify, track, and evaluate hardware and software technologies that can be used in XSEDE or other cyberinfrastructure.
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Bio Informatics

Bioinformatics is the computer-assisted data management discipline that helps researchers gather, analyze, and represent information to understand life's processes in the healthy and disease states, and find new or better drugs. TACC's Life Sciences Group is committed to providing the research community with the bioinformatics computational tools and expertise needed to address modern biological research questions. The TACC team is focused on ensuring that TACC maintains the hardware, software and domain expertise to support a wide variety of bioscience research.

An open-access online community resource for Arabidopsis model plant research.
Matthew Vaughn
vaughn@tacc.utexas.edu
Studies the prevalence, heritability and potential consequences of epigenetic variation on specific maize inbred lines that capture much of species' natural diversity.
Matthew Vaughn
vaughn@tacc.utexas.edu
Develop a computational foundation utilizing relational database management system to significantly enhance the comparative analysis of RNA sequences.
Develop the integrated resources available at iPlant and Animal QTLdb, thereby leveraging the prior national funding in cyberinfrastructure to ultimately address issues of importance to the livestock industry.
Matthew Vaughn
vaughn@tacc.utexas.edu
Elucidate early embryonic cardiac adaptations in response to altered blood flow conditions, and the progression of these adaptations at later stages of cardiac development.
Provide a better understanding of how genes are affected by structural and chemical modifications of DNA and the chromosomes in which it is housed.
Matthew Vaughn
vaughn@tacc.utexas.edu
To develop and operate computational resources in support of grand challenges in the life sciences.
Matthew Vaughn
vaughn@tacc.utexas.edu
Identify quantitative image-based biomarkers that are predictive of successful outcomes following reperfusion therapy.
A web portal that provides immunology researchers with powerful data analysis infrastructure.
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Software Defined Visualization

Software-defined visualization libraries provide performant rendering on general-purpose processors, including both traditional rasterization methods and ray tracing methods that can provide improved visual fidelity and expanded opportunities for simulation integration. By removing the dependence on particular hardware for performant rendering, these libraries enable visualization capabilities for both in situ and post-process analysis across the various hardware architectures found in high performance computing.

Two-pronged approach: GraviT will replace the OpenGL pathways commonly used for visualization with a high-performance, open-source ray tracing engine that can interactively render on both a CPU and on accelerator architectures; GraviT will provide a direct interface to a high-performance distributed ray tracing engine.
Paul Navrátil
pnav@tacc.utexas.edu
This project develops a dynamic ray scheduling algorithm that effectively manages both ray state and data accesses.
Paul Navrátil
pnav@tacc.utexas.edu
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Algorithms & Libraries

TACC's software programs provides algorithms and standard libraries that perform calculation, data processing, and automated reasoning. TACC's programmers also create custom libraries. Most modern software systems provide libraries that implement the majority of system services. Such libraries have commoditized the services which a modern application requires. As such, most code used by modern applications is provided in these system libraries.

Derives Krylov methods in the FLAME framework to show how FLAME can simplify the process of deriving iterative methods, and make a case that a Flame-based environment for deriving new iterative methods is a distinct, and attractive, possibility.
Victor Eijkhout
eijkhout@tacc.utexas.edu
A novel strategy for sparse direct factorizations that is geared towards the matrices that arise from hp adaptive Finite Element Methods.
Victor Eijkhout
eijkhout@tacc.utexas.edu
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Data Collections

TACC works to meet the needs of faculty and researchers for data collection services, and to contribute to the potential of data-driven research to make discoveries. The center builds and maintains large data-management and storage resources and consults with collections' creators in all aspects of the data lifecycle from creation to long-term preservation and access.

Methods and tools for automatically tagging, classifying, and accessing large scale web archives of ministerial and presidential reports and speeches in the Latin American Government Documents Archive.
Maintains an array of ongoing collaborations with the Texas Natural Sciences Center.
Tomislav Urban
turban@tacc.utexas.edu
Create a navigable, three-dimensional digital model of Villa A at Oplontis, fully documenting its setting, architecture, and decor.
Heriberto Nieto
hnieto@tacc.utexas.edu
Superior, comprehensive scientific capabilities that provide research advantages that enable breakthrough results and impact science, attract superior faculty and students, and attract funding to UT System institutions.
Preston Broadfoot
pbroadfoot@utsystem.edu
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Past Projects

Future Grid / FutureGrid Portal
GDBase
IBP: Integrated Breeding Platform (portal)
NARA
SALSA
Texas Test Server Problem
Topology-Aware MPI and Job Scheduling
Touch Interface Techniques for Collaborative and Interactive Visualization
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TACC Software

In addition to hosting a wide range of pre-existing software on TACC systems, TACC staff members actively develop new software and improve current software. To learn more about the software TACC is developing, please click on the title below.

Visit the Software page to view a list of all software available for use on TACC's systems.

Agave API: Science as a Service Platform
Control of Display Environments with Depth-based Skeletal Tracking
Display Cluster
GotoBlas2
GraviT
The Launcher
Massive Pixel Environment (MPE)
Scalable, Distributed Memory Ray Tracing
ScoreVis
Texas Pandemic Flu Toolkit
VisIT Performance Enhancements
Windjammer
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