EE563 Programming Massively Parallel Processors
Resources
CUDA toolkit documentatioin (https://docs.nvidia.com/cuda/index.html)
Introduction to CUDA (https://devblogs.nvidia.com/even-easier-introduction-cuda/)
GPU server
The CUDA server is accessible through SSH on port 222 at roberge.duckdns.org. To connect to the server from a Windows computer, I recommend using the Putty client. To forward gedit to your local computer, use the EE563_xubuntu virtual machine in VirtualBox.
Schedule
The course will follow the schedule shown below. Component 1 will take place during weeks 1 to 8 while components 2 and 3 will cover weeks 9 to 13.
Wk |
Date |
Lectures |
References |
Others |
Laboratories |
|
1 |
11-15 Jan |
Introduction to Massively Parallel Computing Introduction to CUDA |
Chap 1-2 |
Download all lectures |
Complete the CUDA Tutorial |
|
2 |
18-22 Jan |
CUDA Threads & Atomic operations CUDA Memories Performance Considerations |
Chap 3-6 |
|
(due on 4 Feb) |
|
3 |
25-29 Jan |
Parallel Patterns I Parallel Patterns II |
Chap 7-9 |
|
|
|
4 |
1-5 Feb |
Introduction to Thrust Sparse Matrix Vector Operations |
Chap 10 |
|
(due on 25 Feb) |
|
5 |
8-12 Feb |
Solving Partial Differential Equations with CUDA The Fermi Architecture |
Chap 13 |
|
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6 |
15-19 Feb |
NVIDIA OptiX: Ray Tracing on the GPU Future of Throughput |
Chap 17 |
|
|
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7 |
22-26 Feb |
Path Planning System on the GPU Optimizing Parallel GPU Performance Parallel Sorting |
Chap 11-12 |
(due on 14 Mar) |
|
|
8 |
1-5 Mar |
Project work |
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9 |
8-12 Mar |
Project work |
|
Project proposal due |
(due on 25 Mar) |
|
10 |
15-19 Mar |
Project work |
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11 |
22-26 Mar |
Project work |
|
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12 |
29 Mar – 2 Apr |
Project work |
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13 |
5-9 Apr |
Project work |
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14 |
12-16 Apr |
Project work |
|
Parallel reduce using Cub library |
|
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15 |
19-23 Apr |
Project presentations 22 Apr at 10h00 |
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Project report and Paper critique also due on 22 Apr at 10h00 |
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16 |
26-30 Apr |
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