文件列表:

lab1 (0, 2017-03-07)
lab1\EECS468-lab1-GargYoung.tgz (6362, 2017-03-07)
lab1\Makefile (2358, 2017-03-07)
lab1\matrix1.txt (2025, 2017-03-07)
lab1\matrix2.txt (2017, 2017-03-07)
lab1\matrixmul.cu (7325, 2017-03-07)
lab1\matrixmul.h (2667, 2017-03-07)
lab1\matrixmul_gold.cpp (3012, 2017-03-07)
lab1\matrixmul_kernel.cu (2722, 2017-03-07)
lab2 (0, 2017-03-07)
lab2\EECS468-lab2-GargYoung.tgz (24105241, 2017-03-07)
lab2\Makefile (2390, 2017-03-07)
lab2\answer.txt (511, 2017-03-07)
lab2\dimensions.txt (9, 2017-03-07)
lab2\lab2test (580, 2017-03-07)
lab2\matrix1.txt (2025, 2017-03-07)
lab2\matrix2.txt (2017, 2017-03-07)
lab2\matrixmul.cu (8150, 2017-03-07)
lab2\matrixmul.h (2037, 2017-03-07)
lab2\matrixmul_gold.cpp (3012, 2017-03-07)
lab2\matrixmul_kernel.cu (3499, 2017-03-07)
lab2\tests (0, 2017-03-07)
lab2\tests\1024_1.txt (15376, 2017-03-07)
lab2\tests\1024_2.txt (15365, 2017-03-07)
lab2\tests\1024x1.txt (12, 2017-03-07)
lab2\tests\16x16.txt (2036, 2017-03-07)
lab2\tests\1x1024.txt (12, 2017-03-07)
lab2\tests\418_1.txt (3944076, 2017-03-07)
lab2\tests\418_2.txt (2194735, 2017-03-07)
lab2\tests\418x629.txt (13, 2017-03-07)
lab2\tests\_1024x1.txt (8093, 2017-03-07)
lab2\tests\_16.txt (2036, 2017-03-07)
lab2\tests\_1x1024.txt (9745422, 2017-03-07)
lab2\tests\_418.txt (1736782, 2017-03-07)
lab2\tests\_max.txt (8270549, 2017-03-07)
lab2\tests\max.txt (15, 2017-03-07)
lab2\tests\max1.txt (15728707, 2017-03-07)
... ...

# EECS 468, Winter 2017 Code for Northwestern's EECS 468 (Programming Massively Parallel Processors with CUDA). Contributors: Scott Young, Kapil Garg ## Labs - Lab 1: Matrix Multiplication - Lab 2: Tiled Matrix Multiplication - Lab 3: Histograms - Lab 4: Parallel Prefix Scan ## Development 1. Make sure the scaffold code is installed on a machine with a supported Nvidia GTX graphics card. 2. Clone this repository and replace the `labs/src` folder. 3. Run `source /usr/local/cuda-5.0/cuda-env.csh` or `. /usr/local/cuda-5.0/cuda-env.sh` (depending on environment) to setup the CUDA environment. 4. Run `make` from the scaffold's parent directory. 5. Run the compiled code as such `./labs/bin/linux/release/lab*` replacing the `*` with lab number to see results.

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