Dynamic Parallelization of R Functions

Analysis of Five Parameter Viscoelastic Model Under Dynamic Loading

The purpose of this paper is to analysis the viscoelastic models under dynamic loading. A five-parameter model is chosen for study exhibits elastic, viscous, and retarded elastic response to shearing stress. The viscoelastic specimen is chosen which closely approximates the actual behavior of a polymer. The module of elasticity and viscosity coefficients are assumed to be space dependent i.e. f...

Improvement and parallelization of Snort network intrusion detection mechanism using graphics processing unit

Nowadays, Network Intrusion Detection Systems (NIDS) are widely used to provide full security on computer networks. IDS are categorized into two primary types, including signature-based systems and anomaly-based systems. The former is more commonly used than the latter due to its lower error rate. The core of a signature-based IDS is the pattern matching. This process is inherently a computatio...

An effective optimization algorithm for locally nonconvex Lipschitz functions based on mollifier subgradients

A Does Dynamic and Speculative Parallelization Enable Advanced Parallelizing and Optimizing Code Transformations?

Thread-Level Speculation (TLS) is a dynamic and automatic parallelization strategy allowing to handle codes that cannot be parallelized at compile-time, because of insufficient information that can be extracted from the source code. However, the proposed TLS systems are strongly limited in the kind of parallelization they can apply on the original sequential code. Consequently, they often yield...

Parallelization of Rich Models for Steganalysis of Digital Images using a CUDA-based Approach

There are several different methods to make an efficient strategy for steganalysis of digital images. A very powerful method in this area is rich model consisting of a large number of diverse sub-models in both spatial and transform domain that should be utilized. However, the extraction of a various types of features from an image is so time consuming in some steps, especially for training pha...