Modeling and simulation of processing plants are widely used in industry. Construction of a mathematical model for a plant is a time-consuming and error-prone task. In light of extensive advancements in computer science (both hardware and software), computers are becoming a necessary instrument in industrial activities. Many software tools for modeling, simulation and optimization of proces...

Graphical Processing Units (GPUs) are known to be excellent computation accelerators. However, their approach to data processing is very different from regular CPUs. This makes it harder for a regular developer to program these devices. In the past few years, several frameworks were introduced to simplify the programming of GPU devices. Accelerate and Obsidian are two of these frameworks, writt...

Storing relatively large amounts of hazardous materials under certain conditions can lead to high-risk situations. In industrial units, the assessment amplitude and severity consequences identified major accidents is done in order provide data on site intervention emergency planning. This study aims assess untimely releases explosive / toxic substances an unit by graphical modelling analysis su...

despite the extensive deployment of multi-core architectures in the past few years, the design and optimization of each single processing core is still a fresh field in computing .on the other hand, having a design procedure (used to solve the problems related to the design of a single processing core )makes it possible to apply the proposed solutions to specific-purpose processing cores .the i...

Several highly effective algorithms that have been proposed recently for compressed sensing and image processing applications can be implemented efficiently on commodity graphical processing units (GPUs). The properties of algorithms and application that make for efficient GPU implementation are discussed, and computational results for several algorithms are presented that show large speedups o...