NAMD is a parallel molecular dynamics code designed for high‐performance simulation of
large biomolecular systems. NAMD scales to hundreds of processors on high‐end parallel …

We present scalable algorithms for parallel adaptive mesh refinement and coarsening
(AMR), partitioning, and 2: 1 balancing on computational domains composed of multiple …

Large parallel machines with hundreds of thousands of processors are becoming more
prevalent. Ensuring good load balance is critical for scaling certain classes of parallel …

The present book provides an introduction to using space-filling curves (SFC) as tools in
scientific computing. Special focus is laid on the representation of SFC and on resulting …

Irregular and dynamic parallel applications pose significant challenges to achieving
scalable performance on large-scale multicore clusters. These applications often require …

We present an unsupervised technique for visual learning which is based on density
estimation in high-dimensional spaces using an eigenspace decomposition. Two types of …

This paper formulates face labeling as a conditional random field with unary and pairwise
classifiers. We develop a novel multi-objective learning method that optimizes a single …

This paper presents a novel disk storage architecture called DCD, Disk Caching Disk, for the
purpose of optimizing I/O performance. The main idea of the DCD is to use a small log disk …

Computational fluid dynamics (CFD) has become critical to the design and analysis of
aerospace vehicles. Parallel grid adaptation that resolves multiple scales with anisotropy is …

Cloud computing enables shared servers to provide resources, software and data for
collaborative services on demand with high interoperability and scalability. However, there …