File tree Expand file tree Collapse file tree 1 file changed +32
-0
lines changed
Expand file tree Collapse file tree 1 file changed +32
-0
lines changed Original file line number Diff line number Diff line change 1+ CUDA Stream Compaction
2+ ======================
3+
4+ ** University of Pennsylvania, CIS 565: GPU Programming and Architecture, Project 1**
5+
6+ * (TODO) YOUR NAME HERE
7+ * Tested on: (TODO) Windows 22, i7-2222 @ 2.22GHz 22GB, GTX 222 222MB (Moore 2222 Lab)
8+
9+ ### (TODO: Your README)
10+
11+ Include analysis, etc. (Remember, this is public, so don't put
12+ anything here that you don't want to share with the world.)
13+
14+ Instructions (delete me)
15+ ========================
16+
17+ This is due ** INSTRUCTOR TODO** .
18+
19+ ** Summary:** ** INSTRUCTOR TODO** .
20+
21+ ## Part 0: Nothing New
22+
23+ This project (and all other CUDA projects in this course) requires an NVIDIA
24+ graphics card with CUDA capability. Any card with Compute Capability 2.0
25+ (` sm_20 ` ) or greater will work. Check your GPU on this
26+ [ compatibility table] ( https://developer.nvidia.com/cuda-gpus ) .
27+ If you do not have a personal machine with these specs, you may use those
28+ computers in the Moore 100B/C which have supported GPUs.
29+
30+ ** HOWEVER** : If you need to use the lab computer for your development, you will
31+ not presently be able to do GPU performance profiling. This will be very
32+ important for debugging performance bottlenecks in your program.
You can’t perform that action at this time.
0 commit comments