Infrastructure clouds revolutionized the way in which the authors approach resource procurement by providing an easy way to lease compute and storage resources on short notice, for a short amount of time, and on a pay-as-you-go basis. This new opportunity, however, introduces new performance trade-offs. Making the right choices in leveraging different types of storage ...
The exponential growth of scientific and business data has resulted in the evolution of the cloud computing and the MapReduce parallel programming model. Cloud computing emphasizes increased utilization and power savings through consolidation while MapReduce enables large scale data analysis. The Hadoop framework has recently evolved to the standard framework implementing the MapReduce model. In ...
Decoupled SoftWare Pipelining (DSWP) is a program partitioning method enabling compilers to extract pipeline parallelism from sequential programs. Parallel Stage DSWP (PS-DSWP) is an extension that also exploits the data parallelism within pipeline filters. This paper presents the preliminary design of a new PS-DSWP method capable of handling arbitrary structured control flow, a slightly better ...
In this paper the authors address the issue of authoring XML multimedia content on the web. It focuses on methods that apply to different kinds of contents, including structured documents, factual data, and multimedia objects. It argues in favor of a template-based approach that enhances the ability for multiple applications to use the produced content. ...
With the introduction of multi-core processors, thread affinity has quickly appeared to be one of the most important factors to accelerate program execution times. The current paper presents a complete experimental study on the performance of various thread pinning strategies. The authors investigate four application independent thread pinning strategies and five application sensitive ones based ...
Predictive power management provides reduced power consumption and increased performance compared to reactive schemes. It effectively reduces the lag between workload phase changes and changes in power adaptations since adaptations can be applied immediately before a program phase change. To this end the authors present the first analysis of prediction for power management under SYSMark2007. ...