The rapid increase in the performance of graphics hardware, coupled with recent
improvements in its programmability, have made graphics hardware a compelling platform …

For concurrent programming to become mainstream, we must discard threads as a
programming model. Nondeterminism should be judiciously and carefully introduced where …

For more than thirty years, the parallel programming community has used the dependence
graph as the main abstraction for reasoning about and exploiting parallelism in" regular" …

The ubiquity of accelerators in high-performance computing has driven programming
complexity beyond the skill-set of the average domain scientist. To maintain performance …

Structured parallel programs ought to be conceived as two separate and complementary
entities: computation, which expresses the calculations in a procedural manner, and …

This paper presents the Parallel BGL, a generic C++ library for distributed graph
computation. Like the sequential Boost Graph Library (BGL) upon which it is based, the …

Abstract Cyber-Physical Systems (CPS) are integrations of computation and physical
processes. Embedded computers and networks monitor and control the physical processes …

Heterogeneous computing combines general purpose CPUs with accelerators to efficiently
execute both sequential control-intensive and data-parallel phases of applications. Existing …

Generic programming has emerged as an important technique for the development of highly
reusable and efficient software libraries. In C++, generic programming is enabled by the …

UPC++ is a C++ library that supports high-performance computation via an asynchronous
communication framework. This paper describes a new incarnation that differs substantially …