We consider multiphysics applications from algorithmic and architectural perspectives,
where “algorithmic” includes both mathematical analysis and computational complexity, and …

Despite the increasing importance of in silico experiments to the scientific discovery process,
state-of-the-art software engineering practices are rarely adopted in computational science …

3D visual computing data are often spatially sparse. To exploit such sparsity, people have
developed hierarchical sparse data structures, such as multi-level sparse voxel grids …

The performance bottlenecks of graph applications depend not only on the algorithm and
the underlying hardware, but also on the size and structure of the input graph. As a result …

This paper presents the design and implementation of PolyMage, a domain-specific
language and compiler for image processing pipelines. An image processing pipeline can …

Develo** high-performance software is a difficult task that requires the use of low-level,
architecture-specific programming models (eg, OpenMP for CMPs, CUDA for GPUs, MPI for …

Parallel machines are becoming more complex with increasing core counts and more
heterogeneous architectures. However, the commonly used parallel programming models …

Computer systems increasingly rely on heterogeneity to achieve greater performance,
scalability and energy efficiency. Because heterogeneous systems typically comprise …

The term “performance portability” has been informally used in computing to refer to a variety
of notions which generally include:(1) the ability to run one application across multiple …

Context Software architecture viewpoints modularize the software architectures in terms of
different viewpoints that each address a different concern. Unified Modeling Language …