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README.md

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CUDA Stream Compaction
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======================
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**University of Pennsylvania, CIS 565: GPU Programming and Architecture, Project 1**
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* (TODO) YOUR NAME HERE
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* Tested on: (TODO) Windows 22, i7-2222 @ 2.22GHz 22GB, GTX 222 222MB (Moore 2222 Lab)
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### (TODO: Your README)
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Include analysis, etc. (Remember, this is public, so don't put
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anything here that you don't want to share with the world.)
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Instructions (delete me)
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========================
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This is due **INSTRUCTOR TODO**.
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**Summary:** **INSTRUCTOR TODO**.
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## Part 0: Nothing New
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This project (and all other CUDA projects in this course) requires an NVIDIA
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graphics card with CUDA capability. Any card with Compute Capability 2.0
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(`sm_20`) or greater will work. Check your GPU on this
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[compatibility table](https://developer.nvidia.com/cuda-gpus).
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If you do not have a personal machine with these specs, you may use those
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computers in the Moore 100B/C which have supported GPUs.
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**HOWEVER**: If you need to use the lab computer for your development, you will
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not presently be able to do GPU performance profiling. This will be very
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important for debugging performance bottlenecks in your program.

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