GTC2013

Tag: CPU

Accelerating numerical modeling of wave propagation through 2-D anisotropic materials using OpenCL

Accelerating numerical modeling of wave propagation through 2-D anisotropic materials using OpenCL

| 12 March, 2013 | 0 Comments

We present an implementation of the numerical modeling of elastic waves propagation, in 2D anisotropic materials, using the new parallel computing devices (PCDs)

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GPU in Physics Computation: Case Geant4 Navigation

GPU in Physics Computation: Case Geant4 Navigation

| 20 February, 2013 | 0 Comments

The goal was to find out whether Geant4 physics simulations could benefit from GPU acceleration and how difficult it is to modify Geant4 code to run in a GPU

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Comparison of OpenMP & OpenCL Parallel Processing Technologies

Comparison of OpenMP & OpenCL Parallel Processing Technologies

| 15 February, 2013 | 2 Comments

This paper presents a comparison of OpenMP and OpenCL based on the parallel implementation of algorithms from various fields of computer applications

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Genetic Algorithm Modeling with GPU Parallel Computing Technology

Genetic Algorithm Modeling with GPU Parallel Computing Technology

| 8 February, 2013 | 0 Comments

We present a multi-purpose genetic algorithm, designed and implemented with GPGPU / CUDA parallel computing technology. The model was derived from a multi-core CPU serial implementation, named GAME, already scientifically successfully tested and validated on astrophysical massive data classification problems, through a web application resource (DAMEWARE), specialized in data mining based on Machine Learning paradigms.…

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Progress towards accelerating HOMME on hybrid multi-core systems

Progress towards accelerating HOMME on hybrid multi-core systems

| 22 January, 2013 | 0 Comments

We demonstrate that the most expensive kernel in the model executes more than three times faster on the GPU than the CPU. These improvements are expected to provide improved efficiency when incorporated into the full model that has been configured for the target problem

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A comparison of the FDTD algorithm implemented on an integrated GPU versus a GPU configured as a co-processor

A comparison of the FDTD algorithm implemented on an integrated GPU versus a GPU configured as a co-processor

| 16 January, 2013 | 0 Comments

The FDTD method is implemented on the Accelerated Processing Unit’s integrated GPU using the DirectCompute application programming interface and compared against an FDTD implementation on a GPU configured as a co-processor via a PCIe bus.

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Multi-GPU codes for spin systems simulations

Multi-GPU codes for spin systems simulations

| 9 January, 2013 | 0 Comments

We present and compare different approaches for using multiple Graphics Processing Units in the simulation of spin systems.

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Numerical Solutions of Heat and Mass Transfer in Capillary Porous Media Using Programmable Graphics Hardware

Numerical Solutions of Heat and Mass Transfer in Capillary Porous Media Using Programmable Graphics Hardware

| 8 January, 2013 | 0 Comments

We have presented our numerical approximations to the solution of the heat and mass transfer equation with the second kind of boundary and initial conditions using finite difference method on GPGPUs.

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GPU Approach to FPGA placement based on star+

GPU Approach to FPGA placement based on star+

| 7 January, 2013 | 0 Comments

In this work, we propose a GPU-accelerated simulated-annealing variant for FPGA placement

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Programming CUDA and OpenCL: A Case Study Using Modern C++ Libraries

Programming CUDA and OpenCL: A Case Study Using Modern C++ Libraries

| 7 January, 2013 | 1 Comment

We present a comparison of several modern C++ libraries providing high-level interfaces for programming multi- and many-core architectures on top of CUDA or OpenCL

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