Adrian Serio

TL;DR: HX is presented -- a parallel runtime system which extends the C++11/14 standard to facilitate distributed operations, enable fine-grained constraint based parallelism, and support runtime adaptive resource management, and provides a widely accepted API enabling programmability, composability and performance portability of user applications.

TL;DR: This paper characterize task scheduling overheads and show metrics to determine optimal task size, the first step toward the goal of dynamically adapting task size to optimize parallel performance.

TL;DR: A highly scalable demonstration of a portable asynchronous many-task programming model and runtime system applied to a grid-based adaptive mesh refinement hydrodynamic simulation of a double white dwarf merger with 14 levels of refinement that spans 17 orders of magnitude in astrophysical densities.

TL;DR: Phylanx, is an asynchronous array processing toolkit which transforms Python and NumPy operations into code which can be executed in parallel on HPC resources by mapping Python andNumPy functions and variables into a dependency tree executed by HPX, a general purpose, parallel, task-based runtime system written in C++.

TL;DR: This research provides methodology and metrics for analyzing network overheads using the introspection capabilities of HPX, a task based runtime system, and demonstrates that these metrics show a strong correlation with the overall runtime of the test applications.