GitPlanet

Cheap and reliable Node.js hosting starts at $3/month, and $1/month static HTML hosting

Created with love in Canada, visit hostnodejs.com today

Feel like to post an Ad? Learn Details
All Projects → EricDarve → Cme213_material_2013

EricDarve / Cme213_material_2013

CME 213 Class Material

Labels

cuda

Projects that are alternatives of or similar to Cme213 material 2013

Sixtyfour
How fast can we brute force a 64-bit comparison?
Stars: ✭ 41 (-28.07%)
Mutual labels:  cuda
Cs344
Introduction to Parallel Programming class code
Stars: ✭ 1,051 (+1743.86%)
Mutual labels:  cuda
Dink
点云深度学习框架 | Point cloud Deep learning Framework
Stars: ✭ 56 (-1.75%)
Mutual labels:  cuda
Cuda Convnet2.torch
Torch7 bindings for cuda-convnet2 kernels!
Stars: ✭ 42 (-26.32%)
Mutual labels:  cuda
Singularity Tutorial
Tutorial for using Singularity containers
Stars: ✭ 46 (-19.3%)
Mutual labels:  cuda
Carlsim3
CARLsim is an efficient, easy-to-use, GPU-accelerated software framework for simulating large-scale spiking neural network (SNN) models with a high degree of biological detail.
Stars: ✭ 52 (-8.77%)
Mutual labels:  cuda
Nbody
N body gravity attraction problem solver
Stars: ✭ 40 (-29.82%)
Mutual labels:  cuda
Cuda Samples
Samples for CUDA Developers which demonstrates features in CUDA Toolkit
Stars: ✭ 1,087 (+1807.02%)
Mutual labels:  cuda
Hornet
Hornet data structure for sparse dynamic graphs and matrices
Stars: ✭ 49 (-14.04%)
Mutual labels:  cuda
3d Ken Burns
an implementation of 3D Ken Burns Effect from a Single Image using PyTorch
Stars: ✭ 1,073 (+1782.46%)
Mutual labels:  cuda
Docs Pytorch
Deep Object Co-Segmentation
Stars: ✭ 43 (-24.56%)
Mutual labels:  cuda
Slic cuda
Superpixel SLIC for GPU (CUDA)
Stars: ✭ 45 (-21.05%)
Mutual labels:  cuda
Pamtri
PAMTRI: Pose-Aware Multi-Task Learning for Vehicle Re-Identification (ICCV 2019) - Official PyTorch Implementation
Stars: ✭ 53 (-7.02%)
Mutual labels:  cuda
Qualia2.0
Qualia is a deep learning framework deeply integrated with automatic differentiation and dynamic graphing with CUDA acceleration. Qualia was built from scratch.
Stars: ✭ 41 (-28.07%)
Mutual labels:  cuda
Hzproc
torch data augmentation toolbox (supports affine transform)
Stars: ✭ 56 (-1.75%)
Mutual labels:  cuda
Octree Slam
Large octree map construction and rendering with CUDA and OpenGL
Stars: ✭ 40 (-29.82%)
Mutual labels:  cuda
Hungariangpu
An GPU/CUDA implementation of the Hungarian algorithm
Stars: ✭ 51 (-10.53%)
Mutual labels:  cuda
Heteroflow
Concurrent CPU-GPU Programming using Task Models
Stars: ✭ 57 (+0%)
Mutual labels:  cuda
Nvbio Gpl
NVBIO is a library of reusable components designed to accelerate bioinformatics applications using CUDA.
Stars: ✭ 56 (-1.75%)
Mutual labels:  cuda
Deformable conv2d pytorch
deformable_conv2d layer implemented in pytorch
Stars: ✭ 53 (-7.02%)
Mutual labels:  cuda
View All Similar Projects ➔

CME 213 Class Material

This repository contains all the material used for CME 213 at Stanford during the 2013 Spring quarter.

Home page with complete information.

2017 Edition

2017 - CME 213 Introduction to parallel computing using MPI, openMP, and CUDA.

for the 2017 version of this class with many updates and changes.

2017 - Lecture Notes.

Click on the links to download the PDFs of the lecture slides.

2017 - Homework.

The solutions are not publicly available.

Note that the project description data, including the texts, logos, images, and/or trademarks, for each open source project belongs to its rightful owner. If you wish to add or remove any projects, please contact us at [email protected].