We successfully utilized OCLF ORNL GPU computing resources for efficient uncertainty analysis, which addressed the computational overhead caused by our proposed probabilistic models.
Data-parallel particle advection algorithms contain multiple controls that affect their execution characteristics and performance, in particular how often to communicate and how much work to perform between communications. Unfortunately, the optimal settings for these controls vary based on workload, and, further, it is not easy to devise straight-forward heuristics that automate calculation of these settings.
Performance characteristics of parallel particle advection algorithms can vary greatly based on workload. With this short paper, we build a new algorithm based on results from a previous bake-off study which evaluated the performance of four algorithms on a variety of workloads. Our algorithm, called HyLiPoD, is a “meta-algorithm,” i.e., it considers the desired workload
It’s no secret that scientific datasets are getting larger, and therefore more difficult to ingest, clean, and analyze. These processes, collectively known as “data wrangling,” present major obstacles for researchers attempting to harness the power of big data to accelerate scientific breakthroughs. Hence the need for advanced visualization, an increasingly valuable tool for researchers in
It’s no secret that scientific datasets are getting larger, and therefore more difficult to ingest, clean, and analyze. These processes, collectively known as “data wrangling,” present major obstacles for researchers attempting to harness the power of big data to accelerate scientific breakthroughs. Hence the need for advanced visualization, an increasingly valuable tool for researchers in
Neutron measurements at Oak Ridge National Laboratory’s Spallation Neutron Source are giving physicists new insight into the behavior of quantum magnets. A research team led by Young-June Kim from the University of Toronto used neutron spectroscopy to observe a novel type of energ...
Crude oil refinement can be an extremely costly chemical process. In an effort to reduce energy and cost demands, Oak Ridge National Laboratory researchers Anibal Ramirez-Cuesta and Stuart Campbell are collaborating with University of Nottingham (UK) researchers to develop metal-orga...
The Spallation Neutron Source at the Department of Energy’s Oak Ridge National Laboratory broke records for sustained beam power level as well as for integrated energy and target lifetime in the month of June.
