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 …

Load balancing techniques (eg work stealing) are important to obtain the best performance
for distributed task scheduling systems that have multiple schedulers making scheduling …

Abstract Partitioned Global Address Space languages like UPC offer a convenient way of
expressing large shared data structures, especially for irregular structures that require …

Exascale systems will require new approaches to performance observation, analysis, and
runtime decision-making to optimize for performance and efficiency. The standard" first …

Data‐driven programming models such as many‐task computing (MTC) have been
prevalent for running data‐intensive scientific applications. MTC applies over …

We focus on agent-based simulations where a large number of agents move in the space,
obeying to some simple rules. Since such kind of simulations are computational intensive, it …

We describe TESSE, an emerging general-purpose, open-source software ecosystem that
attacks the twin challenges of programmer productivity and portable performance for …

Historically, scientific computing efforts have demonstrated the clear need for, and effective
use of, supercomputing with traditional time-stepped simulations. Nevertheless, there are …

Petascale machines with hundreds of thousands of cores are being built. These machines
have varying interconnect topologies and large network diameters. Computation is cheap …

Applications that rely on sparse or irregular data are often challenging to scale on modern
distributed-memory systems. As a result, these systems typically require continuous load …