GPU_SPSO

GPU-based Parallel Particle Swarm Optimization

Link of the paper

Our project is based on the following paper:
https://ieeexplore.ieee.org/document/4983119

f1: .

f2: .

f3: .

f4: .

In this project, we will look at 4 dimensions:
50, 100, 150, 200

In this project, we will look at 4 swarm populations:
400, 1200, 2000, 2800

f1: (-100, 100)^D
f2: (-10, 10)^D
f3: (-600, 600)^D
f4: (-10, 10)^D

Two methods will be implemented:

Method1: Uses cuRAND to generate pseudorandom numbers on the GPU. The computations are done on GPU. The corresponding file is named main.cu.
Method2: Random numbers are generated on CPU, as well as the computations. This method is used as a comparison. The corresponding file is named main_CPU.c.

Load the cuda module:
```
prompt% module load cuda
```
Delete the previously compiled example:
```
prompt% make clean
```
Compile the example:
```
prompt% make
```
The Makefile contains many useful bits of information on how to compile a CUDA code
Submit the example to PBS. As the example is based on f1, submit the corresponding file:
```
prompt% qsub run_f1.pbs -q pace-ice-gpu
```

Compile program with gcc

prompt% gcc -Wall -g -o spsocpu spsocpu.c -lm

Run program with the selected parameters and store output in a text file
```
prompt% ./spsocpu 2800 2500 10 -10 0.2 0.3 .5 2 >> output.txt
```

Name		Name	Last commit message	Last commit date
Latest commit History 62 Commits
images		images
output		output
Makefile		Makefile
README.md		README.md
SPSO		SPSO
kernel.cu		kernel.cu
main.cu		main.cu
main.o		main.o
main_CPU.c		main_CPU.c
run_f1.pbs		run_f1.pbs
run_f2_f4.pbs		run_f2_f4.pbs
run_f3.pbs		run_f3.pbs
support.c		support.c
support.cu		support.cu
support.h		support.h
support.o		support.o