Programming with CUDA

Transcription

1 Programming with CUDA Jens K. Mueller Department of Mathematics and Computer Science Friedrich-Schiller-University Jena Monday 4 th April, 2011

2 Today s lecture: Organization

3 CUDA 3 / 28 Teaching Staff Lecture Jens K. Müller jkm@informatik.uni-jena.de Office: 3335 EAP 2 Office hours: Wednesdays 2pm-4pm Tutorial Thomas Baumbach thomas.baumbach@uni-jena.de Office: 3312 EAP 2

4 CUDA 4 / 28 Organization Divided in two parts First part (until approx. end of May) Presentation of the CUDA programming language along with assignments Second part Implementing a project with CUDA Lectures Monday 4pm-6pm in CZ SR 123 Tuesday 4pm-6pm in AB4 SR 003 Assignments Thursday 10am-12pm in AB4 SR 114

5 CUDA 5 / 28 Organization (cont.) You have to be registered in CAJ for the assignments. Make sure we can reach you via CAJ. Lecture slides and assignment sheets will be made available online. The course web page is at Lectures/Programming+with+CUDA/SS+2011.html

6 CUDA 6 / 28 Credits This course is 9 LPs Wahl/Wahlpflicht Time Investment for 9 LPs Per semester 30 LPs, i.e. 9 LP means 12 hours per week, since 52/2 week 5 day 8 h 9/30 LP/26 week = 12 h/week Note I m counting the all weeks (26) of the semester, even though you will only need 17 weeks (4th of April until approx. end of July). Includes the time you spent in the lecture/tutorial but only if you pay attention You will need that time!

7 CUDA 7 / 28 Assignments Register in CAJ! Simple raytracer as a sample project Assignments must be solved individually 50% of points to qualify for a project Sheets are usually released online on Wednesdays Submission dates are given on each sheet (usually one week later Friday midnight) Assignment no. 0 is this Wednesday 2 bonus days for all assignments - no questions asked

8 CUDA 8 / 28 Projects Starting after the first part Choose a project (see here for ideas) We will also offer some ideas. Regular meetings Will be on the lecture/tutorial dates. Public project presentation on semester end

9 CUDA 9 / 28 Grading 30% of assignments 70% of oral exam (soon after the project) Mainly about your project and CUDA concepts/technology.

10 CUDA 10 / 28 Lecture Style Mostly slides But: Won t be sufficient Read code. Read articles/documentation. Some live programming Interrupt me (at a good point) if you have a question

11 CUDA 11 / 28 Questions I like good questions. Don t ask the unnecessary ones. You can also write or ask me face to face.

12 CUDA 12 / 28 Discussing encouraged & Copying verboten Allowed to discuss assignments and get verbal advice You must be able to explain all of your submission Give credits Non-trivial copying is strictly forbidden

13 CUDA 13 / 28 Do this! Understand the material Start projects/assignments early Ask! Especially if something is unclear. Give feedback Tell me what I m doing poorly/well

14 CUDA 14 / 28 Don t do this! Cheating Skip class Be late for class Ringing cell phones even if it s mine Lowering the expectations

15 CUDA 15 / 28 Audience Have you ever written a program bigger than 1000 lines of code in any programming language?

16 CUDA 16 / 28 Audience Have you ever written a program bigger than 1000 lines of code in any programming language? What do you know about software development?

17 CUDA 17 / 28 Audience Have you ever written a program bigger than 1000 lines of code in any programming language? What do you know about software development? Have you used software development tools? Which?

18 CUDA 18 / 28 Audience Have you ever written a program bigger than 1000 lines of code in any programming language? What do you know about software development? Have you used software development tools? Which? Have you ever written a "Hello World" in C?

19 CUDA 19 / 28 Audience Have you ever written a program bigger than 1000 lines of code in any programming language? What do you know about software development? Have you used software development tools? Which? Have you ever written a "Hello World" in C? Do you know about the functioning of CPUs?

20 CUDA 20 / 28 Audience Have you ever written a program bigger than 1000 lines of code in any programming language? What do you know about software development? Have you used software development tools? Which? Have you ever written a "Hello World" in C? Do you know about the functioning of CPUs? What do expect from this lecture?

21 CUDA 21 / 28 Skill Set Strong background in programming (preferably in C/C ++ ) System Programming CPU/Memory Architecture Operating System Principles We will try our best to support you.

22 CUDA 22 / 28 Advice Demanding in regard to programming skills It s getting easier if you work hard continuously Read and write readable code Play with examples Prefer simple solutions and fast iterations

23 CUDA 23 / 28 Expectations A hard course You learn a lot The work will be worthwhile. Fair grading Caring about your progress

24 CUDA 24 / 28 Work hard! 12 h/week are expected Invest at least this much time May be up to 18 h/week We like to avoid this. Tell us how much time you spent.

25 CUDA 25 / 28 Hardware Equipment Tesla Architecture GeForce 9800 GT CUDA Capability: 1.1 MP x Cores/MP: 14 x 8 = 112 Global memory: byte Fermi Architecture Tesla C2050 CUDA Capability: 2.0 MP x Cores/MP = Cores: 14 x 32 = 448 Global memory: byte You will get an account to the machines. If you happen to crash the machine, please write an .

26 CUDA 26 / 28 Literature NVIDIA CUDA. C Programming Guide. Version 3.2. Nov URL: com/compute/cuda/3_2_prod/toolkit/docs/cuda_ C_Programming_Guide.pdf NVIDIA CUDA. CUDA C Best Practices Guide. Version 3.2. Aug URL: download.nvidia.com/compute/cuda/3_2_prod/ toolkit/docs/cuda_c_best_practices_guide.pdf David Kirk, Wen-Mei W. Hwu, and Wen mei Hwu. Programming massively parallel processors: a hands-on approach. Morgan Kaufmann Publishers, Jan ISBN:

27 CUDA 27 / 28 Motivation Swarm Visualization Special Thanks to Philipp Lucas.

28 Questions?