搜索资源列表
fastmath
- NVIDIA 的数学运算库,包括快速开方,浮点转整数等-NVIDIA mathematical libraries, including rapid evolution, floating point to integer, etc.
simpleCUFFT
- 基于CUDA的正反FFT实现 需要NVIDIA显卡支持-Based on the positive and negative CUDA FFT implementation needs NVIDIA graphics support
reduction_GPU
- 基于GPU的规约算法实现 需要NVIDIA显卡支持-GPU-based particle algorithm requires NVIDIA graphics support
kuaisupaixu_GPU
- 基于CUDA的快速排序算法 需要NVIDIA显卡支持-Fast sorting algorithm based on CUDA NVIDIA graphics support needed
spmv_csr
- 稀疏矩阵的DIA/ELLPACK/COO/CSR/HYB表示形式，以及各表示形式下的稀疏矩阵乘法（稀疏大矩阵*矢量）的CUDA实现。对于矩阵中每一行稀疏元素个数较统一的情况，ELLPACK表示最佳，其次是HYB（ELL+COO）。 CUDA™ 是一种由NVIDIA推出的通用并行计算架构，该架构使GPU能够解决复杂的计算问题。 它包含了CUDA指令集架构（ISA）以及GPU内部的并行计算引擎。 开发人员现在可以使用C语言来为CUDA™ 架构编写程序-Sparse matri
LBM-C-0.1
- LBM-C is a lattice Boltzmann 2D and 3D fluid flow solver implemented using nVidia s CUDA platform. LBM-C is written in CUDA C and is licensed under GPL v2, you are invited to use, alter and improve upon LBM-C at your own discretion.
GPUSPHsnapshot-2.0
- GPUSPH is an implementation of Smoothed Particle Hydrodynamics for free surface flows (Monaghan, 1994, 2005) on a Nvidia graphics card. In this application, the fluid can be water or a more viscous substance like lava (see also GPU-LAVA).