I help genomic researchers access our Cray machine, Big Red 2, to perform cancer, evolution, and other biological research.
People do amazing things with Cray technology. They fight cybercrime, develop breakthrough medicines and make air travel more efficient. What would you do if you had a Cray – or what have you done?
I help genomic researchers access our Cray machine, Big Red 2, to perform cancer, evolution, and other biological research.
If I were able to use a supercomputer to its limits, I would love to fight MS and try to create algorithms to find out why MS is so debilitating and try to find solutions (medical and physical) to relieve the downturn of their nervous systems.
Platform mechanical architect
Simulate regional weather and wind turbine wake interactions.
Simulate the global BGP network and the various failure modes that could be experienced.
We do short read mapping for genome data analysis using our proprietary technology, ReneGENE, on Cray XC40 housed in Indian Institute of Science Bangalore India.
I'd like to help drive Eco fuels development. Having a sim environment this good would make it much faster.
Principal member of tech staff
Breakthrough GigaFlop barrier on Cray YMP for Space Shuttle Solid Rocket Booster received the 1st Cray Gigaflops Award by Cray CEO Norris at the SC89 banquet in Reno.
The time reduction on the Y-MP with 8 processors reduced the finite element redesign/analysis from hours to seco…
It's amazing how thanks to Cray supercomputers we are always more able to fight cancer!
Use modeling and simulation of medical, genetic and societal behavior of people with Alzheimer's disease to predict degradation rate and properly allocate resources for their care and psychological needs by training volunteers.
Senior research engineer
I work in agriculture and believe there is a need for more analysis of food growth and international transportation to fight hunger.
Salt Lake City
I'd use my Cray system to demonstrate that climate change is truly the most urgent issue on the planet and work on real solutions that politicians couldn't ignore.
Providing Sandia researchers with high throughout computational tools to solve complex problems.
First Cray I installed ran reservoir simulation 15x times faster that a traditional Linux cluster. Cray technology contributed to growing business.
System analyst and HPC architect
We develop data driven methods to bridge gaps in the knowledge of planning practitioners. The result is a translation of data into knowledge in support of emergency mitigation efforts.
Research associate professor
Enable delivery of community health information to individuals using big data.
Did a decadal study to show the "brightening" effect in the past two decades as the result of reduction of SO4 and other pollutant precursors in the US.
Research computer scientist
Research Triangle Park
Use past traffic trends along with known scheduled events in an area to determine the best route to keep people moving to their end destination. By analyzing traffic trends for events such as "football game" or "election" use these datapoints to route traffic around predicted con…
I am a geographer interested in representing disease burdens across space. Maps are an abstraction of some unknown reality. Making reliable maps of diseases like cancers requires searching through and understanding large unstructured data.
We would use a Cray to improve cloud forecasts in support of laser communications.
Mary Ellen C.
Being better able to quickly predict through shallow water equations and big data information when tsunamis or earthquakes are coming, enabling the population to better prepare or escape from possible devastating effects of these weather occurrences.
Find the optimal times to grow certain crops and better predict dry years.
Using the discontinuous Galerkin finite element method, I would test scalability in order to run larger hurricane storm surge simulations, or improve the accuracy of existing simulations. This would require the computational capabilities of large supercomputers scaling into 10,00…
We use DOE Cray computers to model fusion, as do others.
Recent results have shown that matching the experiments is a true exascale problem, using hundreds of millions of core hours.
Lead data scientist
I'd like to put a supercomputer to work on pulling useable image information from digital radiography images created using background radiation.
Salt Lake City
We use HPC to improve the quality and resolution of seismic imaging in collaboration with an international oil company, in order to make their prospections more efficient.
I study primate biogeography and conversation GIS. I use global datasets and spatial models to analyze patterns in how primate distributions and extinction risk have changed in response to forest habitat loss and use that information to inform conservation and management. I use H…
Model habitats and feeding behavior to determine man's involvement in environmental aspects of our modern fisheries.
Salt Lake City
Predicting and preventing cyber bullying using text parsing and photo detecting algorithms.
Modeling individual hip replacement, based on personal blood flow.
Simulations in the field of astronomy are extremely time consuming. Even on a supercomputer like Big Red 2 at Indiana University, it takes weeks to complete. If I had a Cray supercomputer, I would do quick simulations and solve some of those celestial problems.
Data scientist and student
As a Ph.D. candidate I have been developing a 3D Navier Stokes simulator for volcanic eruptions on early Mars. This software not only provides the most accurate simulations but allows scientists to visualize eruptions that occurred 3 billion years ago for the first time.
Properly simulate climate change scenarios and compute solutions for it.
I used Archer (UK national supercomputing service XC30) to train a neural network to play Atari games using only the screen pixels and score. Previous teams achieved this on single systems within 2 hours, but the amazing power of a Cray allowed this to scale to over 1,500 cores a…
VP product management
Figure out protein folding for important medical proteins and map to genomic and epigenetic data sets. Machine learning for application in medicine comes later.
I'm working on numerical weather prediction software and I'd use a Cray supercomputer for my simulations.
HF radio waves skip across the ionosphere. This varies with sun spot activity. Modeling this complex feature of nature would be a huge help in designing communication systems.
We are transforming healthcare with genomics in minutes with Cray-built Blue Waters.
I am studying heart rate variability, the changes in our heart rate. This is an indicator of the body's autonomic functioning, the regulation of our internal organs. I use HPC for signal processing, machine learning and waveform analysis. I am looking to analyze changes in intens…
I am building deep machine learning tools for financial analytics.
We would use Cray systems to test new forms of drug discovery to find the cures our civilization direly needs.
Developing high fidelity battery simulation applications to enable design of safer, cheaper, higher performance batteries.
We use HPC to do post processing of tumoral genomics data.
I would use a Cray to help model today's highway infrastructure so that they are more proficient and safer — especially since we are not building any more roads!
Our researchers made 3D models from half a million images of the shipwrecks from a famous Australian naval battle.
Senior supercomputing specialist
As a UseIT intern, we used the Blue Waters supercomputer to generate large amounts of simulated earthquakes to generate probabilities for a large magnitude earthquakes M7.0 and above to occur in Southern California.
With a supercomputer, genomics research becomes a lot more possible and this would lead to cures for many diseases that currently kill children and adults.
I was a post doc at ORNL working on molecular dynamics simulations when Jaguar came online and was named #1 on the top 500.
I would install OpenStack on it, turn it over to local hackathons and see what amazing things young adults around the world can do with compute infrastructure on demand.
One of the first cosmological simulations I ran was in 2005 at PSC. The last time was on Titan!
Optimizing energy and power consumption is a significant task for the coming Exascale computing era. We are looking for innovative techniques to help software developers identify where and how in their codes energy consumption can be minimized without significant performance trad…
I have the job of protecting the country from bad folks. I have lots of data, graphs to be analyzed.
Time stepping is an inherently sequential method which is limited in its strong scalability. Our research investigates ways to overcome these scalability problems by exploiting the time dimension as an additional degree of parallelization. This might be one way to make use of fut…
Understand and model global warming.
Senior engineering lead
We are developing a system that will allow public health practitioners to plan for public health emergencies.
I'd love to be able to analyze the control data we get site wide to look for predictive failures and performance problems.
HPC system administrator
I would simulate cancer cells to target specific cells to kill without harming the child.
Senior computer technologist
We did a research project to design an algorithm to scale complex irregular applications on a Cray XC30 up to 512 nodes i.e. 12288 cores.
I would use this to model biological systems and use the simulations to develop drugs for medical purposes.
Rogue Wave's HPC debugger, TotalView, helps scientists quickly get past the issues they are having with their programs running on Cray supercomputers and concentrate on the amazing work and research they are trying to solve.
Senior director of product development
Doing exams on the Zika virus and curing that virus at a medical university is one of the best uses for an HPC machine from Cray.
Molecular dynamic simulation using thousands of cores and GPUs.
User services manager
I want to see the Lakers win the NBA title again and they need better analytical models to determine the productivity of draft picks.
We try to solve the big problems in energy, biology, and electronics ... At the small scale.
Blood pattern analysis in virtual reality, parallel visualization, and sensor simulation for autonomous cars.
Develop models aimed at enhancing the energy density of next-generation secondary Li-based batteries.
I will be processing data from gravitational wave detectors such as LIGO using deep learning to extract signals from black hole and neutron star mergers from across a billion light years.
See if other living creatures exist.
I use modeling in an attempt to reduce Lyme disease by determining the role different wildlife hosts play in maintaining the pathogen. Supercomputers have allowed to me to run multiple experiments in a virtual landscape in order to determine which components are important with th…
Part of my job is to develop math libraries which are used in many applications such as lithium ion battery design.
How to create alternative sources of energy using corn without the price of corn skyrocketing.
Klaus Schulten's group has successfully modeled a cell at the molecular level being infected by HIV, using the NSF Cray Blue Waters supercomputer at the University of Illinois. This is the first simulation of its type to ever be done.
Senior research scientist
Deep learning can be used to identify cancer in exams better than doctors.
If I had a Cray, I would improve battery and energy collection technology so that every house, hut or tree on the planet would have all the energy it needed.
One of our customers is currently doing research on the HIV virus and its impacts on cells. Currently, they have to use a reduced model (only a part of the cell is simulated) even though they use up to 64000 cores. With the next generation of supercomputers they might be able to …
Make it possible to connect up combustion experimental cameras with real-time simulations on the Cray to manage the whole experimental platform!
Senior computer scientist
Rendering large data sets in parallel and testing them against trained neural networks in order to automate visualization parameters for domain scientists.
I would use supercomputing to create smart living using big data analysis, create more ecofriendly, healthy, economically better societies around the world.
Cray supercomputing would speed up my lattice QCD research.
Scientist / HPC department head
We could use a Cray analytics platform to help mine our data archive to help identify hurricanes using image recognition techniques.
We need to expand the capability of our laser physics simulation code to be able to expand from single wavelength, single long pulse lasers to simulate a short pulse, high rep rate broadband lasers. This new regime expands the size of our problems by many orders of magnitude.
Train large and deep neural networks to classify people into different categories to predict the main disease they will suffer from.
Our vision is to run virtual jet engine testing in the computer (preferably a Cray).
The demands on the national weather service are continuously increasing. Weather simulations are essential for flight safety, storm warnings and in the event of nuclear or chemical disasters. In order to achieve accurate forecasts and create more realistic simulations, new and hi…
Head of numerical model development
Improve the accuracy in forecasting climate change to prevent natural disaster.
Product marketing manager
Having had a couple members of my family experience dealing with early childhood development setbacks has pushed me to look into researching early development in children and factors that can play a role.
The US warfighter today is only as good as the information it is provided. With siloed data stores and boundaries of technology and philosophies between services, this combining of intelligence rarely integrates well.
If I had a Cray, I would bring in collected data from as many…
We model disease spread throughout the world population.
We are looking at advanced statistical techniques to locate cancer variants with high precision.
Creating a service to allow for automatic visualization of ultrascale data for scientists across different fields.
I work on the next generation global prediction system project which will replace the NWS operational weather model to allow us to get to higher resolutions in the next few years. With these cloud resolving resolutions we can give people more advanced warning on severe weather.
We do simulations of the formation of the first galaxies in the universe on Blue Waters. These simulations are the largest adaptive mesh radiation hydro simulations of the galaxy formation that have ever been done, and were only possible with a machine like Blue Waters. We also h…
Can machine learning be used to classify contents of luggage? Specifically find and recognize illegal or questionable items.
Chief scientist, high performance data analytics
It's amazing how a solar eruption can change the reliability of our GPS systems and cause a failure in the power grid of all of North America. I would like to understand how solar eruptions happen and how they propagate to Earth to interact with Earth's magnetosphere and ionosphe…
We model behavior of populations during disasters.
Computer systems engineer
We'd like to use visualization technologies to show the movements of ocean flows, and more powerful HPCS from Cray can help achieving this goal.
We run massive simulations of supernova explosions on ORNL's Titan.
I would use it to help my local school and students to learn computer technologies so that they can help our country to stay ahead and contribute to the world.