The Texas Advanced Computing Center (TACC) is developing innovative software solutions to enhance scientific productivity. Their interactive parallelization tool, IPT, enables researchers to convert serial code into parallel code using tens of thousands of processors, achieving significant speed-ups and user productivity enhancements. ...
Researchers at UT Dallas developed a new control strategy using supercomputers to extract more power from wind turbines. The approach has the potential to increase wind energy production by up to six percent and generate $100 million in value per one percent improvement.
Scientists successfully assembled and annotated the genome of California Yellowtail fish, a high-value species in the sashimi industry. The study improves understanding of sex determination and provides insights into developing more palatable farmed fish and optimizing aquaculture practices.
Researchers estimated radiation risks for astronauts in low Earth orbits, finding they would have faced toxic doses during a massive solar event. The study used supercomputers to model the Manned Orbiting Laboratory's orbit profile and simulate space weather.
Texas A&M researchers use supercomputers to develop graphene oxide nanosheet coating that controls dendrite growth, improving cycle life and stability of lithium-metal batteries. The material is applied using a spray coating gun and has shown enhanced performance in experiments.
A team of researchers used a state-of-the-art simulation code to study the behavior of red blood cells flowing through physiologically realistic microvascular networks. They observed that red blood cells frequently jam for brief periods before proceeding downstream, causing temporary increases in vascular resistance. The findings have ...
Experts on quantum computing, including Antia Lamas-Linares, discussed the field's potential and applications at SXSW 2018. They focused on topics such as secure time synchronization and GPS protection, highlighting the importance of these areas in the future development of quantum technologies.
The Intelligent Systems for Geosciences community is using AI to improve decision-making in water management. Computational tools like directed networks are helping visualize connections and patterns in datasets, enabling more informed choices.
Researchers will explore new mathematical and computational foundations to transform traditional design processes, leveraging massive compute power. TACC provides a comprehensive platform for developing computational methods, creating data visualizations, and analyzing large experimental data sets.
University of Texas researchers use supercomputer simulations to study how blast waves affect the brain's perineuronal nets, potentially leading to life-threatening injuries. They also explore materials for space shuttles, aiming to improve their durability and performance.
Researchers at University of Texas at Austin analyzed 40 years of stock prices, finding that high-beta stocks do not outperform those with low betas. Controlling for lottery-like characteristics, the seminal theory is empirically supported, revealing price pressure from investors as the main cause of the anomaly.
Researchers have developed a new process to manufacture acrylonitrile, the precursor to carbon fiber, from renewable biomass. The bio-based process produces less heat and toxic byproducts than traditional methods.
A team of researchers is developing complex computer models to predict how cancer will progress in individual patients. They use advanced computing resources, including those at the Texas Advanced Computing Center, to analyze patient-specific data from imaging tests and biopsies, as well as other factors.
Researchers found that genes can be activated in human stem cells to initiate biomineralization, a key step in bone formation. The study used engineered silk derived from golden orb weaver spider webs and supercomputers Stampede1 and Comet to model the folding of proteins and predict osteogenesis.
Researchers developed a deep learning tool to automatically analyze road behavior and create searchable databases. The system accurately labeled and tracked objects in traffic videos, identifying potential close encounters between vehicles and pedestrians.
A team of scientists used supercomputers to explore the optical properties of plasmonic nanovesicles, which could lead to breakthroughs in cancer treatment and studying the nervous system. The researchers designed golden nanopills that can be triggered by laser light to release drugs or molecules.
Researchers efficiently used Stampede2's 1024 Skylake processors to complete a 100-epoch ImageNet training with AlexNet in 11 minutes, setting the fastest time recorded to date. The Layer-Wise Adaptive Rate Scaling (LARS) algorithm enabled this breakthrough, allowing for larger-than-ever batch sizes and adaptive learning rate adjustments.
The Cosmos code, developed by the University of Texas at Austin, has been optimized for the Stampede2 supercomputer using XSEDE ECSS resources. This allows for accurate simulations of black hole jets and other astrophysical phenomena, providing new insights into the mysteries of space.
The new earthquake forecast, UCERF3, provides self-consistent rupture probabilities from short-term to long-term, including increased likelihood of powerful aftershocks and revised earthquake frequencies. The model also assesses short-term changes in seismic hazard based on earthquake clustering and aftershock excitations.
Digital archivists from UT Austin collaborate with classicists to improve database preservation methods, enabling long-term accessibility of texts. The new approach preserves data and interactive applications separately, allowing for reuse in different contexts.
A new grant will support the development of training, tools, and a cloud-based virtual environment to teach data science at large scales. The project aims to provide computational resources for education, targeting diverse students nationwide.
A team of researchers from the University of Texas at Austin has created an accurate and efficient method to characterize gliomas, the most common and aggressive type of primary brain tumor. Their system combined biophysical models with machine learning algorithms to analyze Magnetic Resonance imaging data, achieving top results in a c...
Researchers used supercomputers to create highly-detailed solar simulations, timed to the moment of the eclipse, which provided a preview of the solar corona's appearance. The simulations included improved treatments of energy transport and magnetic shear, increasing the accuracy of the predictions.
Researchers from UT Tyler and Sugar Research Australia used TACC supercomputers to analyze genetic data from affected and unaffected plants. They created a reference genome for sugarcane's transcriptome, allowing them to explore gene expression related to the disease.
A team of researchers from the University of Texas at Austin has developed novel approaches to information retrieval that leverage artificial intelligence, crowdsourcing, and supercomputing. Their method combines input from multiple annotators to determine the best overall annotation for a given text, improving accuracy in extracting d...
The Texas Advanced Computing Center has launched Stampede2, the largest supercomputer at any US university, supporting thousands of nation's scientists and engineers. The system will enable researchers to tackle complex challenges with high-performance computing power.
Using supercomputer simulations, researchers have discovered that kinks in DNA can significantly reduce energy and pressure, allowing it to fit into a micron-sized space. The findings provide new insights into how cells pack DNA and could lead to advances in understanding biological phenomena.
Scientists are working on more precise diagnostics for cancer using advanced imaging techniques and nano-sensors that can detect biomarkers within the body. These tools have the potential to significantly increase early detection of breast cancer with minimal risk and cost.
Scientists study Burmese pythons' ability to regenerate organs after feeding, identifying key genes that drive regenerative growth. The team also explores the genetic basis of evolution in snakes and lizards, shedding light on the mechanisms behind unique traits such as venom composition and reproductive differences.
Cancer genomics researchers found a significant association between PONDS-forming sequences and cancer. They discovered that short inverted repeats are enriched at translocation breakpoints in human cancer genomes.
Researchers developed a novel mathematical model to explore interactions between prostate tumors and common immunotherapies, predicting their effects on patient-specific immune systems. The study highlights a potential therapeutic strategy for managing tumor growth more effectively.
Advances in radiation therapy have improved precision by understanding physics and biology. Researchers use supercomputers to simulate radiation dose calculations and develop new technologies like MR-linacs.
PortHadoop reader enables seamless data transfer between Hadoop and parallel file systems, accelerating big data analytics. The NSF-funded Chameleon cloud testbed facilitates the development of PortHadoop reader for NASA Cloud library applications.
Researchers at the University of Texas MD Anderson Cancer Center used TACC's advanced computers to discover a potential new cancer drug, mebendazole, which can selectively inhibit TNIK enzyme activity. Virtual screening and molecular modeling approaches identified this compound as a strong candidate for further exploration.
The Rosetta Online Server (ROSIE) uses XSEDE's Stampede supercomputer to provide access to the Rosetta software suite for 3D structure prediction and high-resolution design of biomolecules. With over 5,000 users, ROSIE has enabled notable scientific advances in computational biology.
Researchers have used machine learning to analyze brain imaging data and identify patterns predictive of depression. The study found that DTI-derived fractional anisotropy maps can accurately classify depressed or vulnerable individuals versus healthy controls.
Researchers have developed a machine learning model that can predict the outcome of cellular interactions and design new cancer treatments. The Stampede supercomputer enabled the team to run billions of simulations, allowing them to identify patterns in the data and create a system capable of predicting laboratory results.
University of Michigan researchers use Stampede supercomputer to design fuel-efficient aircraft with morphing wings and composite materials. Their studies show that tow-steered composites can reduce structural weight by 10% and fuel burn by 0.4%, while morphing wings have the potential to burn 2% less fuel than current designs.
Researchers develop a pipeline to power fast and accurate image processing for precision medicine. The platform combines the imaging capabilities of Philips MRI scanners with the processing power of Stampede supercomputer.
Researchers developed a new metric to predict blood clots in the left ventricle, which is more accurate than current methods. The E-wave propagation index can be calculated using standard diagnostic tools and clinical procedures, and has been validated with data from patients who experienced post-heart attack blood clots.
Researchers have discovered that localized vibrations in amorphous silicon dioxide contribute substantially to the material's thermal conductivity, contradicting previous assumptions. This breakthrough could lead to more efficient forms of everyday materials and even superconducting materials.
University of North Texas researchers used Maverick supercomputer to perform the first all-atom molecular dynamics simulations of Cas9-catalyzed DNA cleavage. The simulations provided insight into the Cas9 enzyme's active state and resolving controversies about its cutting process.
Using the Stampede supercomputer, researchers have developed a new method to study protein-ligand interactions without introducing disturbances. This technique, called Transient Induced Molecular Electronic Spectroscopy (TIMES), provides valuable information and insight for drug discovery, desalination, and bacterial energy production.
Researchers used Stampede supercomputer to simulate largest atomic level system of p53 protein, identifying new 'pockets' to reactivate the tumor suppression protein. The simulations revealed complex dynamics between p53 and DNA sequences, offering insights into a potential anticancer therapeutic strategy.
Amy McGovern uses high-resolution simulations, data mining, and visualization techniques to identify precursors of tornadoes and improve warning lead times. Her goal is to reduce false alarms and increase prediction accuracy.
The Hikari supercomputer cluster uses solar panels for up to 208 kilowatts of power during the day, reducing the need for conventional AC power from the grid. This innovative system also employs high-voltage direct current (HVDC) technology, predicted to save 15% compared to traditional systems.
The Soybean Knowledge Base (SoyKB) uses high-performance computing to analyze soybean genetic data, promoting deeper understanding for scientists improving crops. Over 2,000 unique users log on monthly, with over 10,000 utilizing the platform since its development in 2010.
Researchers have successfully created a controlled beam of ultra-energized photons, or gamma rays, from a laser using simulations on the Lonestar and Stampede supercomputers. The breakthrough has potential applications in fields such as cancer treatment, cargo screening, and fundamental science studies.
The University of Texas at Austin has received a $30 million NSF award to build and deploy Stampede 2, a new large-scale supercomputing system that will provide high-performance computing capabilities for thousands of researchers across the U.S. The system is expected to deliver peak performance of up to 18 Petaflops.
Researchers at the University of Texas at Austin developed a new system to predict floods in real-time using advanced computing resources. With the National Flood Interoperability Experiment (NFIE), they can forecast floods continually, improving the accuracy and speed of flood warnings for communities nationwide.