Fifteen research teams at the University of Illinois at Urbana-Champaign have been allocated computation time on the National Center for Supercomputing Applications (NCSA) sustained-petascale Blue Waters supercomputer after applying in the Fall of 2017. These allocations range from 75,000 to 582,000 node-hours of compute time over either six months or one year, and altogether total nearly four million node-hours (128 million core hour equivalents), valued at $2.48 million. The research pursuits of these teams are incredibly diverse, ranging anywhere from studies on very small HIV capsids to massive binary star mergers.
Blue Waters, one of the world’s most powerful supercomputers, is capable of sustaining 1.3 quadrillion calculations every second and at peak speed can reach a rate of 13.3 petaflops (calculations per second). Its massive scale and balanced architecture help scientists and scholars alike tackle projects that could not be addressed with other computing systems.
NCSA’s Blue Waters project provides University of Illinois faculty and staff a valuable resource to perform groundbreaking work in computational science and is integral to Illinois’ mission to foster discovery and innovation. To-date the project has allocated a total of 64.6 million node-hours, a $40 million equivalent, to Illinois-based researchers through the Illinois General Allocations program. The system and the University’s robus HPC community presents a unique opportunity for the U of I faculty and researchers, with about 4 percent of the capacity of Blue Waters allocated annually to projects being done at the University through a campuswide peer-review process.
The next round of proposals will be due March 15, 2018. To learn how you could receive an allocation to accelerate your research, visit https://bluewaters.ncsa.illinois.edu/illinois-allocations.
FALL 2017 ILLINOIS ALLOCATIONS
Tandy Warnow (Computer Science): Improved Methods for Phylogenomics, Proteomics, and Metagenomics
Aleksei Aksimentiev (Physics): Epigenetic Regulation of Chromatin Structure and Dynamics
Ryan Sriver (Atmospheric Sciences): The response of tropical cyclone activity to global warming in the Community Earth System Model (CESM)
Eliu Huerta Escudero (Astronomy): Simulations of Compact Object Mergers in support of NCSA’s LIGO commitment
Juan Perilla and Jodi Hadden (Beckman Institute): Unveiling the functions of the HIV-1 and hepatitis B virus capsids through the computational microscope
Brad Sutton (Bioengineering): HPC-based computational imaging for high-resolution, quantitative magnetic resonance imaging
Nancy Makri (Chemistry): Quantum-Classical Path Integral Simulation of Charge Transfer Reactions
Stuart Shapiro, Milton Ruiz, and Antonios Tsokaros (Physics): Studies In Theoretical Astrophysics and General Relativity
Narayana Aluru (Mechanical Engineering): Systematic thermodynamically consistent structural-based coarse graining of room temperature ionic liquids
Matthew West (Mechanical Engineering), Nicole Riemer (Atmospheric Sciences) and Jeffrey H. Curtis (Atmospheric Sciences): Verification of a global aerosol model using a 3D particle-resolved model (WRF-PartMC)
Gustavo Caetano-Anolles (Crop Sciences): How function shapes dynamics in evolution of protein molecules
Benjamin Hooberman (Physics): Employing deep learning for particle identification at the Large Hadron Collider
Brian Thomas (Mechanical Engineering): Multiphysics Modeling of Steel Continuous Casting
Hsi-Yu Schive (NCSA) and Matthew Turk (Information Sciences): Ultra-high Resolution Astrophysical Simulations with GAMER
Andrew Ferguson (Materials Science and Engineering): In Silico Vaccine Design through Empirical Fitness Landscapes and Population Dynamics
Oluwasanmi Koyejo (Computer Science): Dynamic Brain Network Estimation
William Gropp (NCSA), Erin Molloy (Computer Science) and Tandy Warnow (Computer Science): Designing scalable algorithms for constructing large phylogenetic trees (almost without alignments) on supercomputers
Iwona Jasiuk (Mechanical Engineering): Hierarchical Modeling of Novel Metal-Carbon Materials
Mark Bell (Math): Minimal Mixing: Exploring the Veering Automata