Extremely Large Datasets
Liu acknowledged for wide-ranging work in energy materials, catalysis, carbon sequestration, material in extreme conditions and scientific big data mining.
Finding ways to handle torrents of data from LSST and LCLS-II will also advance “exascale” computing.
SLAC has led the development and implementation of a variety of upgrades to the ATLAS experiment to match the increased discovery potential of an LHC now operating at record proton collision energies.
Two recent meetings at SLAC brought together experts working on computer hardware and software for LSST – a future telescope that will provide unprecedented views of the sky and may solve some of the biggest mysteries of the universe.
Understanding the origins of our solar system, the future of our planet or humanity requires complex calculations run on high-power computers.
Five years ago, the brightest source of X-rays on the planet lit up at SLAC. The Linac Coherent Light Source (LCLS) X-ray laser's scientific and technical progress since its momentous "first light" have been no less luminous, say those who have played a role in its success.
A new tool for analyzing mountains of data from SLAC’s Linac Coherent Lightsource (LCLS) X-ray laser can produce high-quality images of important proteins using fewer samples. Scientists hope to use it to reveal the structures and functions of proteins that have proven elusive, as well as mine data from past experiments for new information
SLAC's Kavli Institute for Particle Astrophysics and Cosmology (KIPAC) recently hosted many of the top scientists in the field to discuss the most important questions to confront in the coming decade.
Scientists in SLAC's Integrated Circuits Department reach a new frontier in ultrafast X-ray science with intricately designed signal-processing chips that translate particles of light into bits of data.
If Benjamin Franklin were alive today, he would likely extend his often-quoted list of life's certainties – death and taxes – to include more and more data. SLAC computer scientist Jacek Becla couldn't agree more. As founder of the Extremely Large Databases (XLDB) conference, which serves people who work with datasets too large or complex for conventional solutions, Becla is intimately aware of the information explosion.