Asynchronous many-task runtime systems and MPI+ X hybrid parallelism approaches have
shown promise for helping manage the increasing complexity of nodes in current and …

The University of Utah's Carbon Capture Multidisciplinary Simulation Center (CCMSC) is
using the Uintah Computational Framework to predict performance of a 1000 MWe ultra …

The challenge of running complex physics code on the largest computers available has led
to dataflow paradigms being explored. While such approaches are often applied at smaller …

Uncertainty and diversity in future HPC systems, including those for exascale, makes
portable codebases desirable. To ease future ports, the Uintah Computational Framework …

Exascale supercomputers capable of computing 10 18 double-precision floating point
operations per second are expected to be operational around 2022/23. The complexity and …

This research addresses node-level scalability, portability, and heterogeneous computing
challenges facing asynchronous many-task (AMT) runtime systems. These challenges have …

The current trend towards diversity in nodal parallel computer architectures is seen in recent
and proposed machines based upon multicore CPUs, GPUs and the Intel Xeon Phi as well …

High performance computing (HPC) plays a fundamental role in tackling the most intractable
problems across a wide range of disciplines and pushing the frontiers of science. It now …