We present a novel parallel algorithm for cloth simulation that exploits multiple GPUs for fast
computation and the handling of very high resolution meshes. To accelerate implicit …

We present a new compiler framework for truly heterogeneous 3D stencil computation on
GPU clusters. Our framework consists of a simple directive-based programming model and a …

There is a consensus that exascale systems should operate within a power envelope of
20MW. Consequently, energy conservation is still considered as the most crucial constraint if …

Programming to achieve high performance for NVIDIA GPUs using CUDA has been known
to be challenging. A GPU has hundreds or thousands of cores that a program must exhibit …

Parallel computing is a standard approach to achieving high-performance computing (HPC).
Three commonly used methods to implement parallel computing include: 1) applying …

Heterogeneous computer architectures are now ubiquitous in high performance computing;
the top 7 supercomputers are all built with CPUs and accelerators. Portability across …

Stencil computation patterns are the backbone of many scientific and engineering
simulations. The stencil computation is known to be constrained by its high demand of …

High-performance distributed computing systems increasingly feature nodes that have
multiple CPU sockets and multiple GPUs. The communication bandwidth between these …

This paper presents the first results of our experiments for generating CUDA code that
streams array operations over the elements of its array arguments from high-level …

Iterative stencil computations are widely used in numerical simulations. They present a high
degree of parallelism, high locality and mostly-coalesced memory access patterns …