Clusters of workstations provide a cost-effective, high performance parallel computing environment. These environments, however, are often shared by multiple users, or may consist of heterogeneous machines. As a result, parallel applications executing in these environments must operate despite unequal computational resources. For maximum performance, applications should automatically adapt exec...

The Solar Diffuser (SD) is used for the MODIS reflective solar bands (RSB) calibration. An on-board Solar Diffuser Stability Monitor (SDSM) tracks the degradation of its on-orbit bi-directional reflectance factor (BRF). To best match the SDSM detector signals from its Sun view and SD view, a fixed attenuation screen is placed in its Sun view path, where the responses show ripples up to 10%, muc...

A novel topology multi-stage noise-shaping (MASH) delta-sigma modulator is proposed for 20-km digital mobile fronthaul (MFH) in this article. In the MASH structure, a newly designed feedback unit combined with traditional fourth-order sturdy structure to enhance capacity. The detailed comparison between conventional single (SDSM) and new presented 512/1024 quadrature amplitude modulation (QAM) ...

In this paper, the performance of the portable OpenMP compiler on SDSM JIAJIA is analyzed using SPEC OMPM2001 benchmark. The overheads of parallel execution have been investigated from the aspects of thread management and task schedule, memory access and synchronization. To improve the performance, the page placement and data privatization techniques have been implemented for the optimization o...

Abstract Global efforts to upgrade water, drainage, and sanitation services are hampered by hydrometeorological data-scarcity plus uncertainty about climate change. Intensity–duration–frequency (IDF) tables used routinely design water infrastructure so offer an entry point for adapting engineering standards. This paper begins with a novel procedure guiding downscaling predictor variable selecti...

Emerging system-area networks provide a variety of features that can dramatically reduce network communication overhead. Such features include reduced latency, protected remote memory access, cheap broadcast, and ordering guarantees. In this paper, we evaluate the impact of these features on the implementation of Software Distributed Shared Memory (SDSM), and on the Cashmere system in particula...

Many impact studies require climate change information at a finer resolution than that provided by Global Climate Models (GCMs). In the last 10 years, downscaling techniques, both dynamical (i.e. Regional Climate Model) and statistical methods, have been developed to obtain fine resolution climate change scenarios. In this study, an automated statistical downscaling (ASD) regression-based appro...

General circulation models (GCMs) run at regional resolution or a continental scale. Therefore, these results cannot be used directly for local temperatures and precipitation prediction. Downscaling techniques are required to calibrate GCMs. Statistical downscaling (SDSM) the most widely bias correction of However, few studies have compared SDSM with multi-layer perceptron artificial neural net...

Software distributed shared memory (SDSM) systems traditionally exhibit poor performance on applications with significant fine-grain or false sharing. Techniques such as relaxedconsistency models and multiple -writers protocols improve the performance of SDSM systems significantly, but their performance still lags that of hardware shared memory implementations. This paper describes Delphi, a sy...