Visualization and analysis tools, techniques, and algorithms have undergone a rapid
evolution in recent decades to accommodate explosive growth in data size and complexity …

The rising interest in Java for High Performance Computing (HPC) is based on the
appealing features of this language for programming multi-core cluster architectures …

The revolution in next-generation DNA sequencing technologies is leading to explosive data
growth in genomics, posing a significant challenge to the computing infrastructure and …

Streamline computation in a very large vector field data set represents a significant
challenge due to the nonlocal and data-dependent nature of streamline integration. In this …

With the computing industry trending toward multi-and many-core processors, we study how
a standard visualization algorithm, raycasting volume rendering, can benefit from a hybrid …

This work studies the performance and scalability characteristics of" hybrid'" parallel
programming and execution as applied to raycasting volume rendering--a staple …

In parallel finite element solvers, sparse matrix assembly is often a bottleneck. Implemented
using message passing, latency from message matching starts to limit performance as the …

Clusters of multicore nodes have become the most popular option for new HPC systems due
to their scalability and performance/cost ratio. The complexity of programming multicore …

The Gemini interconnect on the Cray XE6 platform provides for lightweight remote direct
memory access (RDMA) between nodes, which is useful for implementing partitioned global …

A method for synthesizing code for the software component of a system is proposed. The
specification is given as a set of concurrent processes that communicate through channels …