The significant increase in complexity of Exascale platforms due to energy-constrained,
billion-way parallelism, with major changes to processor and memory architecture, requires …

New high-performance computing system designs with steeply escalating processor and
core counts, burgeoning heterogeneity and accelerators, and increasingly unpredictable …

The new challenges presented by exascale system architectures have resulted in difficulty
achieving the desired scalability using traditional distributed-memory runtimes …

Many scientific applications are conceptually built up from independent component tasks as
a parameter study, optimization, or other search. Large batches of these tasks may be …

We introduce a new relativistic astrophysics code, SpECTRE, that combines a discontinuous
Galerkin method with a task-based parallelism model. SpECTRE's goal is to achieve more …

We present Realm, an event-based runtime system for heterogeneous, distributed memory
machines. Realm is fully asynchronous: all runtime actions are non-blocking. Realm …

This paper presents a technique that leverages an existing regression test selection
algorithm to compute accurate, updated coverage data on a version of the software, P i+ 1 …

Scalable and efficient numerical simulations continue to gain importance, as computation is
firmly established as the third pillar of discovery, alongside theory and experiment …

To achieve scalability with today's heterogeneous HPC resources, we need a dramatic shift
in our thinking; MPI+ X is not enough. Asynchronous Many Task (AMT) runtime systems …

In the prospect of the upcoming exa-scale era with millions of execution units, the question
of how to deal with this level of parallelism efficiently is of time-critical relevance. State-of-the …