Simulation, Modeling, Measurement Memory systems are the next major technical challenge in emerging HPC architectures Performance, Capacity, Heterogeneity, Cost, Power New device technology emerging…
Dream Module DiffeRential Evolution Adaptive Metropolis (DREAM) is an algorithm for sampling from a general probability density when only the probability density function is…
What is EQUINOX? EQUINOX is a multi-institutional ASCR funded effort to to establish a modern mathematical and statistical foundation that will enable next-generation,…
During the two-year span of this project, we will focus on seven different problems to demonstrate the ability of ACUMEN to solve the specific mathematical challenges at…
Deep Learning is a sub-field of machine learning that focuses on learning features from data through multiple layers of abstraction. These features are learned with little…
The objective of this research is to design and evaluate a new distributed data storage paradigm that unifies the traditionally distinct application views of memory- and file-…
The Programming Models and Languages team is focused on developing the OpenSHMEM programming model for extreme scale systems. Towards this goal, the team conducts…
Software Links: Project ADIOS 1.x ADIOS2 Github ADIOS 1.x ADIOS2 Documentation ADIOS2 The Adaptable IO System (ADIOS) provides a simple, flexible…
SOLLVE project primarily aims at scaling OpenMP by leveraging LLVM for exascale performance and portability of applications. The OpenMP standard and implementations evolve at…
The CODAR project is lead by Ian Foster of Argonne National Laboratory. The management team includes Todd Munson (ANL), Scott Klasky (ORNL), and Kerstin Kleese Van Dam (BNL…
US Department of Energy (DOE) leadership computing facilities are in the process of deploying extreme-scale high-performance computing (HPC) systems with the long-range goal…