Tag: parallel computing
Accelerating numerical modeling of wave propagation through 2-D anisotropic materials using OpenCL
We present an implementation of the numerical modeling of elastic waves propagation, in 2D anisotropic materials, using the new parallel computing devices (PCDs)
Research for Chinese Spam Filtering Based on GPU
In order to accelerate the speed of large-scale Chinese spam filtering, we propose a spam filtering solution based on GPU as well as considering classical text classification algorithms
Comparison of OpenMP & OpenCL Parallel Processing Technologies
This paper presents a comparison of OpenMP and OpenCL based on the parallel implementation of algorithms from various fields of computer applications
Pragmatic optimizations for better scientific utilization of large supercomputers
In this paper we describe our experiences in running simulations of the explosion phase of Type Ia supernovae on the largest available platforms. The simulations use FLASH, a modular, adaptive mesh, parallel simulation code with a wide user base. The simulations use multiple physics components: hydrodynamics, gravity, a sub-grid flame model, a three-stage burning model, and a degenerate equation of state.
GPGPU 6: Sixth Workshop on General Purpose Processing Using GPUs
The goal of this workshop is to provide a forum to discuss new and emerging general-purpose purpose programming environments and platforms, as well as evaluate applications that have been able to harness the horsepower provided by these platforms. This year’s work is particularly interested on new heterogeneous GPU platforms.
Charged particles constrained to a curved surface
In this work we have developed the equations of motion of N charged particles that are constrained to a curved two-dimensional surface but interact in three dimensions as usual.
1st International Workshop on OpenCL (IWOCL)
The International Workshop on OpenCL (IWOCL) is an annual meeting of vendors, researchers and developers to promote the evolution and advancement of the OpenCL standard.
Orthogonalization on a general purpose graphics processing unit
Using a massively parallel algorithm for the modified Gram-Schmidt orthogonalization on a NVIDIA Tesla C2050 Computing Processor we can compensate for the cost of one extra level of precision, even already for modest dimensions.
Combining CPU and GPU architectures for fast similarity search
In this paper, we propose a parallel approach that balances the utilization of CPU and many-core GPUs for efficient similarity search with the Signature Quadratic Form Distance
International Workshop on Programming Models and Applications for Multicores and Manycores (PMAM 2013)
Rapid advancements in multicore and chip-level multi-threading technologies open new challenges and make multicore systems a part of the computing landscape. From high-end servers to mobile phones, multicores and manycores are steadily entering every single aspect of the information technology.
