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.
CUDA_BP_neuralnetwork
- 基于nvidia CUDA架构的BP神经网络程序，在G80,G92 GPU上可以完成BP神经网络训练。速度较双核CPU提高十倍
2D CUDA-based bilinear interpolation
- This MEX performs 2d bilinear interpolation using an NVIDIA graphics chipset. To compile and run this software, one needs the NVIDIA CUDA Toolkit (http://www.nvidia.com/object/cuda_get.html) and, of course, an NVIDIA graphics card of reasonably moder
parallel-sorting_GPU
- 基于CUDA的并行排序GPU-BBSort 需要NVIDIA显卡支持-CUDA Parallel Sorting on GPU-BBSort NVIDIA graphics support needed
cuSVMVCcode
- 基于GPU计算的SVM，VC++源码，包括详细文档说明文件。借用了GPU编程的优势，该代码据作者说比常规的libsvm等算法包的训练速度快13-73倍，预测速度快22-172倍。希望对大家有用-cuSVM is a software package for high-speed (Gaussian-kernelized) Support Vector Machine training and prediction that exploits the massively parallel proc
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
OceanCS
- The simulation theory comes from the paper, “Simulating Ocean Water”, written by Jerry Tessendorf. The original sample was written in HLSL by NVIDIA, and I ported the code to use C++ AMP.
GPU-AI
- MultiAgentGPU-RA09.pdf,nvidia gpu ai paper,very useful.
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.
cuj2k-src-1.1
- A JPEG2000 encoder on CUDA - Converts BMP -> JPEG2000 with your NVIDIA GPU - Commandline tool and CUDA/C++ library - For both lossless and lossy encoding - One of the fastest open-source JPEG2000 encoder: Encodes a 27 megapixel -
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).
cpu_gpu_conv
- These codes can compute the convolution in an efficient way using CPU and GPU (for GPU code you must have NVIDIA graphic card on your system)
matrixmulti.tar
- OpenCL实现的矩阵乘法，基于Linux Nvidia OpenCL平台编译-OpenCL implementation of matrix multiplication, based on Nvidia OpenCL Linux platform compiler
Matlab_Code_TAFGLSE_ISCIDE_2013
- Texture-Aware Fast Global Level Set Evolution-Due to its intrinsic advantages such as the ability to automatically handle complex shapes and topological changes, the level set method has been widely used in image segmentation. Nevertheless, in additi