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

We have developed two new approaches to teaching parallel computing to undergraduates
using higher level tools that lead to ease of programming, good software design, and …

Clusters of symmetric multiprocessors (SMPs) are the most currently used architecture for
large scale applications and combining MPI and OpenMP models is regarded as a suitable …

High Performance Computing (HPC) technologies are emphasizing to increase the system
performance across many disciplines. The primary challenge in HPC systems is how to …

Abstract llc is a C-based language where parallelism is expressed using compiler directives.
In this paper, we present a new backend of an llc compiler that produces code for GPUs. We …

Due to the current proliferation of GPU devices in HPC environments, scientist and
engineers spend much of their time optimizing codes for these platforms. At the same time …

In this paper, we describe the results of teaching a parallel programming course using a
pattern programming approach in a course taught across the State of North Carolina on a …

The present work aims to find computationally-efficient models for solving discretized partial
differential equations. To accomplish that, we implement and compare the performance of a …

Embedded real-time applications increasingly present high computation requirements,
which need to be completed within specific deadlines. But, those applications present highly …

High performance architectures are increasingly heterogeneous with shared and distributed
memory components, and accelerators like GPUs. Programming such architectures is …