Posts
Apr, 2
Acceleration of Diagrammatic Determinantal Quantum Monte Carlo Calculations using GPUs
Diagrammatic Determinantal Quantum Monte Carlo (DDQMC) algorithms are used to solve quantum impurity models such as the Anderson model. The calculation of acceptance rates and observables during the Monte Carlo walk involves linear algebra operations whose computational expense increases with decreasing temperature. Thus, the lower boundary of the treatable temperature range is limited by the […]
Apr, 2
A Novel Open Source Morphology Using GPU Processing With LTU-CUDA
A mathematical morphology is used as a tool for extracting image components that are useful in the representation and description of region shape. The mathematical morphology operations of dilation, erosion, opening, and closing are important building blocks of many other image processing algorithms. The data parallel programming provides an opportunity for performance acceleration using highly […]
Apr, 2
2014 5th International Conference on Networking and Information Technology, ICNIT 2014
2014-09-20 Accepted papers will be published in the one of the following Journals with ISSN. International Journal of Computer and Communication Engineering (IJCCE, ISSN: 2010-3743) Journal of Advances in Computer Networks (JACN, ISSN: 1793-8244) Journal of Communications (ISSN: 1796-2021) 3G & 4G Mobile Communication Services Agents and Multi-Agents systems for ICT Integrated Circuits for Communications […]
Apr, 1
GPU Based Performance Acceleration of Radar Imaging Algorithms
We consider the performance acceleration of the conventional Time Domain Backprojection and Kirchhoff Migration algorithms for imaging concealed targets. The Compute Unified Device Architecture (CUDA) and Open Computing Language (OpenCL) are used here for accelerating these algorithms on Graphics Processing Units (GPUs). Data generated by means of analytical methods, simulation and experiment are used for […]
Apr, 1
Enhanced Parallel NegaMax Tree Search Algorithm on GPU
Parallel performance for GPUs today surpasses the traditional multi-core CPUs. Currently, many AI algorithms started to be tested on GPUs rather than CPUs, especially after the release of libraries such as Cuda and OpenCL that allows the implementation of general algorithms on the GPU. One of the most famous game tree search algorithms is Negamax, […]
Apr, 1
Code Generation for Embedded Heterogeneous Architectures on Android
The success of Android is based on its unified Java programming model that allows to write platform-independent programs for a variety of different target platforms. However, this comes at the cost of performance. As a consequence, Google introduced APIs that allow to write native applications and to exploit multiple cores as well as embedded GPUs […]
Mar, 31
Data Mining Techniques in Parallel and Distributed Environment – A Comprehensive Survey
Distributed sources of voluminous data have raised the need of distributed data mining. Conventional data mining techniques works well on structured data which is clean, pre-processed and properly arranged either in the form of structured files, databases or data warehouse. These techniques are based upon centralised data store however they have several limitations in distributed […]
Mar, 31
The 22nd Annual International IEEE Symposium on Field Programmable Custom Computing, FCCM 2014
The IEEE Symposium on Field Programmable Custom Computing Machines is the original and premier forum for presenting and discussing new research related to computing that exploits the unique features and capabilities of FPGAs and other reconfigurable hardware. Over the past two decades, FCCM has been the place to present papers on architectures, tools, and programming […]
Mar, 30
Using CUDA Architecture for the Computer Simulation of the Casting Solidification Process
his paper presents a simulation of the casting solidification process performed on graphics processors compatible with nVidia CUDA architecture. The new approach shown in this paper allows the process of matrix building to be divided into two independent phases. The first is independent from the nodal temperature values computed in successive time–steps. The second is […]
Mar, 30
A New High Performance GPU-based Approach to Prime Numbers Generation
SIMD Parallelization is one of the most useful ways of decreasing the computation time and increases the performance of computation intensive algorithms. To do such process, we could execute some processes on several machines by using different platforms like MPI, OpenMP and distribute the workload by using message passing and shared memory. One of the […]
Mar, 29
Exploiting GPUs to investigate an inversion method that retrieves cardiac conductivities from potential measurements
Accurate cardiac bidomain conductivity values are essential for realistic simulation of various cardiac electrophysiological phenomena. A method was previously developed that can determine the conductivities from measurements of potential on a multi-electrode array placed on the surface of the heart. These conductivities, as well as a value for fibre rotation, are determined using a mathematical […]
Mar, 29
Literature review: Build and Travel KD-Tree with CUDA
Ray tracing is an important and widely used tool in computer graphic. Entertainment and game industry have already benet a lot from ray tracing. However, designers and end-users are forced to use off-line ray tracing tools for a long time due to the high computation load. In ray tracing, most of the computation is concentrated […]