Tag: parallel computing
We present an implementation of the numerical modeling of elastic waves propagation, in 2D anisotropic materials, using the new parallel computing devices (PCDs)
This paper presents a comparison of OpenMP and OpenCL based on the parallel implementation of algorithms from various fields of computer applications
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.
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.
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.
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.