Backup tools for Mac

Carbon Copy Cloner
http://www.bombich.com/index.html

TCFail Snow Leopard 繁體中文系統字體修改工具

CUDA Certification – Exam Scheduling Now Open

CUDA Certification – Exam Scheduling Now Open

http://www.nvidia.com/object/certification.html

NVIDIA CUDA Professional Developer Program Study Guide
As part of the process of achieving the standards expected from an NVIDIA CUDA Professional Developer, all candidates are required to take a series of self-study lectures and exercises.
Please read this entire document before starting your study course.
The foundation of this training is provided by the text book,  Programming Massively Parallel Processors: A Hands-on Approach, authors, David B. Kirk, Wen-mei W. Hwu.
You can also make use of podcasts in mp4 format of the lectures below; the reading assignments will help to make the lecture more productive, so please complete in advance.

1. Introduction to GPU Computing (60.2 MB)
1. Assignment please read Chapter 1 of Textbook
2. CUDA Programming Model (75.3 MB)
1. Assignment please read Chapter 2 of Textbook
3. CUDA API (32.4 MB) 
4. Simple Matrix Multiplication in CUDA (46.0 MB)
1. Assignment please read Chapter 3 of Textbook 
5. CUDA Memory Model (109 MB)
1. Assignment please read Chapter 4 of Textbook 
6. Shared Memory Matrix Multiplication (81.4 MB) 
7. Additional CUDA API Features (22.4 MB) 
8. Useful Information on CUDA Tools (15.7 MB) 
9. Threading Hardware (140 MB) 
1. Assignment please read Chapter 5 of Textbook 
10. Memory Hardware (85.8 MB)
11. Memory Bank Conflicts (115 MB) 
12. Parallel Thread Execution (32.6 MB) 
13. Control Flow (96.6 MB) 
14. Precision (137 MB)
1. Assignment please read Chapter 6 of Textbook
2. Assignment please read Chapter 7 of Textbook

Please download all the documents and files that are relevant to your operating system.
As part of the study process, please ensure you also download and study the following documents:

CUDA C Programming Guide 3.0
CUDA C Best Practices Guide 3.0
CUDA C Online Documentation

Additional CUDA Programming Tools and Compiler Documentation can be found at this link:
http://www.nvidia.com/object/cuda_programming_tools.html
Please download the following additional documents:

CUDA Compiler Driver NVCC 2.0
PTX: Parallel Thread Execution ISA Version 1.2
CUDA Occupancy Calculator

Additional Course Exercises with Solutions (Supports CUDA Basics)

Exercise Instructions
Exercise files for Visual Studio
Exercise files for Mac & Linux

Additional Supporting Materials
NVIDIA is hosting a series of Webinars about the CUDA Architecture.  NVIDIA staff is available during the presentations to answer questions, and the recordings are available for download.
http://developer.nvidia.com/object/gpu_computing_online.html
For technical questions please use the public CUDA developer forums:
http://forums.nvidia.com/index.php?showforum=62

Git Client for Mac

GITY
http://macendeavor.com/

GitX
http://gitx.frim.nl/

SmartGit
(free for non-commercial)
http://www.syntevo.com/smartgit/index.html

Gitti
http://www.gittiapp.com/

gitnub
http://github.com/Caged/gitnub

macbook 闔上螢幕時，不進入睡眠

可以安裝這個軟體

insomniax
http://www.macupdate.com/info.php/id/22211/insomniax

使用 macport 安裝 flvtool2

http://tech.howcast.com/2008/06/tools-for-adding-keyframe-metadata-to-flash-video-flvs/


macport 沒有 flvtool2，先安裝所需要的 lib，再手動編 flvtool2 原始碼


或是用 yamdi，同樣 macport search 不到，要手動 build
http://yamdi.sourceforge.net/
在 debian 下面，yamdi 處理速度較快

Flipside : 進入 BootCamp 更快的辦法

http://www.frostyplace.com/index.php?story_id=7092

讓 iTerm for Mac 有 Color

vi ~/.profile
加上
export CLICOLOR=1
export LSCOLORS=ExFxCxDxBxegedabagacad

Mac OS X Internals: A Systems Approach, by Amit Singh

http://osxbook.com/