As we have entered an era of high resolution earth observation, the RS data are undergoing
an explosive growth. The proliferation of data also give rise to the increasing complexity of …

In this paper we consider productivity challenges for parallel programmers and explore ways
that parallel language design might help improve end-user productivity. We offer a …

Massive, large-region coverage, multi-temporal, multi-spectral remote sensing (RS) datasets
are employed widely due to the increasing requirements for accurate and up-to-date …

This paper presents an unbalanced tree search (UTS) benchmark designed to evaluate the
performance and ease of programming for parallel applications requiring dynamic load …

Partitioned Global Address Space (PGAS) languages combine the programming
convenience of shared memory with the locality and performance control of message …

Many sequential applications are difficult to parallelize because of unpredictable control
flow, indirect data access, and input-dependent parallelism. These difficulties led us to build …

Developed for multimedia and game applications, as well as other numerically intensive
workloads, the CELL processor provides support both for highly parallel codes, which have …

This paper demonstrates the one-sided communication used in languages like UPC can
provide a significant performance advantage for bandwidth-limited applications. This is …

The design and implementation of a high performance communication network are critical
factors in determining the performance and cost-effectiveness of a largescale computing …

This book provides the users with quick and easy data acquisition, processing, storage and
product generation services. It describes the entire life cycle of remote sensing data and …