This work presents parallel implementations of the MinMin scheduling heuristic for heterogeneous computing using Graphic Processing Units, in order to improve its computational efficiency. The experimental evaluation of the four proposed MinMin variants demonstrates that a significant reduction on the computing times can be attained, allowing to tackle large scheduling scenarios in reasonable e...

In the present work, a framework is developed for implementation of finite difference schemes on Graphic Processing Units (GPU). The framework is developed using the CUDA language and C++ template meta-programming techniques. The framework is also applicable for other numerical methods which can be represented similar to finite difference schemes such as finite volume methods on structured grid...

This article deals with a performance analysis of eight current architectures : general purpose multi-core processors, graphic processing units and the Cell processor. The benched algorithm is the Harris operator. The main goal is to guide the user in chosing a parallel architecture and to assess how different transformations impact so as to get an architecture optimised implementation.

In analyzing of modern biological data, we are often dealing with ill-posed problems and missing data, mostly due to high dimensionality and multicollinearity of the dataset. In this paper, we have proposed a system based on matrix factorization (MF) and deep recurrent neural networks (DRNNs) for genotype imputation and phenotype sequences prediction. In order to model the long-term dependencie...

As bioinspired methods usually need a high amount of computational resources, parallelization is an interesting alternative in order to decrease the execution time and to provide accurate results. In this sense, recently there has been a growing interest in developing parallel algorithms using graphic processing units (GPU) also referred as GPU computation. Advances in the video gaming industry...

Bioinformatic applications usually need a high amount of computational resources. For this reason, parallelization is an interesting alternative in order to decrease the execution time and to provide accurate results. In this sense, recently there has been a growing interest in developing parallel algorithms using graphic processing units (GPU) also refered as GPU computation. Advances in the v...

We present a novel algorithm for the many-body Dissipative Particle Dynamics (DPD) forces calculation which allows to efficiently scale DL_MESO software package on Multiple General Purpose Graphic Processing Units. Together with extension 64-bit integer arrays and addition of hard surface boundary conditions, proposed simulate very large complex mesoscale systems up 14 billion beads. The implem...

Throughout the years, countless hardware-based and software-level optimizations have been done to improve the performance of cryptographic algorithms. In this poster, we explore the suitability for Graphic Processor Units (GPUs) of optimizations based on the bitslicing software technique. In particular, we explore a novel CUDA implementation of the Advanced Encryption Standard (AES) based on bi...