Today a large volume of energy-related data have been continuously collected. Extracting actionable knowledge from such data is a multi-step process that opens up a variety of interesting and novel research issues across two domains: energy and computer science. The computer science aim is to provide energy scientists with cutting-edge and scalable engines to effectively support them in their d...

A fine grain model programming for parallelization of sparse linear solver

Shared memory, one of the most popular models for programming parallel platforms, is becoming ubiquitous both in low-end workstations and high-end servers. With the advent of low-latency networking hardware, clusters of workstations strive to offer the same processing power as high-end servers for a fraction of the cost. In such environments, shared memory has been limited to page-based systems...

Two experiments were conducted to evaluate combinations of wet corn gluten feed (WCGF) and barley, as well as the particle size of dry-rolled barley and corn, in finishing steer diets containing WCGF. In Exp. 1, 144 crossbred steers (initial BW = 298.9 +/- 1.4 kg) were used to evaluate barley (0.566 kg/L and 23.5% NDF for whole barley) and WCGF combinations in finishing diets containing 0, 17, ...

This paper proposes a selective procedure inlining scheme to improve a multi-grain parallelism, which hierarchically exploits the coarse grain task parallelism among loops, subroutines and basic blocks and near fine grain parallelism among statements inside a basic block in addition to the loop parallelism. Using the proposed scheme, the parallelism among different layers(nested levels) can be ...

Cellular automata (CA) are an abstract model of fine-grain parallelism, as the node update operations are rather simple, and therefore comparable to the basic operations of the computer hardware. In a classical CA, all the nodes execute their operations in parallel and in perfect synchrony. We consider herewith the sequential version of CA, called SCA, and compare these SCA with the classical, ...

In a Grid environment applications are executed on distributed resources. Applications can be divided into separate parts for distributed and sequential execution. Typically, complete applications consisting of many parts may be executed on both local and remote resources. Computing resources may expect some form of payment in exchange for services used. In this situation there are two scenario...

Breeding programs with the aim to enhance yield productivity under abiotic stress conditions during the reproductive stage of crops is a top priority in the era of climate change. However, the choice of exploring stay-green or senescence phenotypes, which represent an opposing physiological bearing, are explored in cereal breeding programs for enhanced yield stability to a different extent. Thu...