Today Caterpillar Inc. announced it will expand its collaboration with NCSA to develop more realistic simulations that can lead to improved product designs.
“We have made substantial progress towards three transformative contributions: (1) we are the first team to formally link high-resolution astrodynamics design and coordination of space assets with their Earth science impacts within a Petascale “many-objective” global optimization framework, (2) we have successfully completed the largest Monte Carlo simulation experiment for evaluating the required satellite frequencies and coverage to maintain acceptable global forecasts of terrestrial hydrology (especially in poorer countries), and (3) we have evaluated the limitations and vulnerabilities of the full suite of current satellite precipitation missions including the recently approved Global Precipitation Measurement (GPM) mission. This work illustrates the tradeoffs and consequences of a collapse in the current portfolio of rainfall missions.
“Supercomputing has reached a level of maturity and capability where many areas of science and engineering are not only advancing rapidly due to computing power, they cannot progress without it. I will illustrate examples from NCSA’s Blue Waters supercomputer, and from major data-intensive projects including the Large Synoptic Survey Telescope, and give thoughts on what will be needed going forward.”
“Increasing computational power and advances in algorithms have made it possible to resolve an ever increasing fraction of the scales of atmospheric motion. While it remains inconceivable to resolve all the relevant scales of motion we are currently in the midst of a great leap across a range of scales that have posed some of the greatest challenges to climate science over the past sixty years. This leap is bringing wholly new insights into the structure of the climate system on both ends of the spectrum of atmospheric motions.”
“Blue Waters can tackle a very wide range of challenging tasks, not only from science, but also from engineering demonstrating the feasibility of efficiently solving extreme size real world multi-physics problems on the peta-scale and potentially exa-scale level, and thus adding tremendous value to future engineering simulation and research.”
“Early in February, Barcelona Supercomputing Center (BSC) successfully deployed the Mont-Blanc prototype. After three years of intensive research effort, the team installed a two-rack prototype which is now available to the Mont-Blanc consortium partners. This has been a formidable challenge as this is the first time that a large HPC system based on mobile embedded technology has been deployed and made fully operational to a scientific community composed of scientists of six of the most important research centers in Europe.”
“The ability to accurately and efficiently study the absorption spectra of large chemical systems necessitates the development of new algorithms and the use of different architectures. We have developed a highly parallelizable algorithm in order to study excited state properties with ab initio electronic structure theory. This approach has recently been implemented to take advantage of graphical processing units to further improve efficiency.”