Cloud computing has gained much popularity recently, and many companies now offer a
variety of public cloud computing services, such as Google AppEngine, Amazon AWS, and …

We present the performance analysis of a port of the LU benchmark from the NAS Parallel
Benchmark (NPB) suite to NVIDIA's Compute Unified Device Architecture (CUDA), and …

Abstract Distributed Stream Processing Systems (DSPS) are “Fast Data” platforms that allow
streaming applications to be composed and executed with low latency on commodity …

The rapid and disruptive changes anticipated in hardware design over this next decade
necessitate a more agile development process, such as the hardware-software co-design …

Preparations for Exascale computing have led to the realization that future computing
environments will be significantly different from those that provide Petascale capabilities …

Cloud computing has drawn increasing attention from the scientific computing community
due to its ease of use, elasticity, and relatively low cost. Because a high-performance …

Maintaining the performance of large scientific codes is a difficult task. To aid in this task, a
number of mini‐applications have been developed that are more tractable to analyze than …

A key problem facing application developers is that they are expected to utilize extreme
levels of parallelism soon after delivery of future leadership class machines, but developing …

In this paper we propose a new simulation platform called SIMCAN, for analyzing parallel
and distributed systems. This platform is aimed to test parallel and distributed architectures …

Performance modeling of extreme-scale applications on accurate representations of
potential architectures is critical for designing next generation supercomputing systems …