For many applications of scientific computing, reduction operations may cause a performance bottleneck. In this article, the performance of different coarseand fine-grained methods for implementing the reduction is investigated. Fine-grained reductions using atomic operations or fine-grained explicit locks are compared to the coarse-grained reduction operations supplied by OpenMP and MPI. The r...

Dependency parsing is a way of syntactic parsing and a natural language that automatically analyzes the dependency structure of sentences, and the input for each sentence creates a dependency graph. Part-Of-Speech (POS) tagging is a prerequisite for dependency parsing. Generally, dependency parsers do the POS tagging task along with dependency parsing in a pipeline mode. Unfortunately, in pipel...

Entity Recognition (ER) is a key component of relation extraction systems and many other natural-language processing applications. Unfortunately, most ER systems are restricted to produce labels from to a small set of entity classes, e.g., person, organization, location or miscellaneous. In order to intelligently understand text and extract a wide range of information, it is useful to more prec...

Fine-grained multithreading can be used to hide longlatency operations encountered in parallel computers during remote memory access. Instead of using special processor hardware, the emulation of fine-grained multithreading on standard processor hardware is investigated. While emulation of coarse-grained multithreading is common in modern operating systems, in the fine-grained case research on ...

Identifying land-use drivers of changes in river condition is complicated by spatial scale, geomorphological context, land management, and correlations among responding variables such as nutrients and sediments. Furthermore, variations in standard metrics, such as substratum composition, do not necessarily relate causally to ecological impacts. Consequently, the absence of a significant relatio...

While the Differentiated Services (DiffServ) infrastructure is scalable and robust in providing network Quality of Service (QoS), there are serious drawbacks with the services provided by DiffServ: (1) the services are coarse-grained and oneway only; (2) no service differentiation and resource isolation are provided to meta-data packets such as TCP SYN and ACK packets. Moreover, the coarse-grai...

The anhysteretic remanent magnetization (ARM) is an important magnetic parameter for quantifying the concentration of “fine”, mostly sub-micron ferrimagnetic particles in rocks and sediments. A sound understanding ARM carriers needed to interpret environmental information sedimentary archives. This often not achieved marine sediments, which routinely contain several mineral components. Here, we...

Sediments and rocks recovered in CRP-2/2A coring operations contain relatively little organic matter (average TOC=0.28%) and very small amounts of solvent-soluble organic matter. Because Early Oligocene sediment included significant amounts of coal detritus, TOC values are higher in Early Oligocene rocks than in younger rocks. TOC values are highest in the fine-grained rocks deposited as part o...

Fine-grained image classification, which aims to distinguish images with subtle distinctions, is a challenging task due to two main issues: lack of sufficient training data for every class and difficulty in learning discriminative features for representation. In this paper, to address the two issues, we propose a two-phase framework for recognizing images from unseen fine-grained classes, i.e. ...