MIT License

Copyright 2019 Yu-Chen Wu
Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.

============
Introduction
============
It is the prototype of the paper published on 2019 IEEE Big Data conference.
Title: Fast Frequent Pattern Mining without Candidate Generations on GPU by Low Latency Memory Allocation

========
Building
========
The make file is located in fpgrowth/src/makefile. You must modify some paths.
$> cd fpgrowth/src/
$>make -f makefile

==========================
Block size and load factor
==========================
There are two kernel functions in the program. According to our experiment
results, the block size of kernel_cal_offset dose not affect the performance
significantly. However, the block sizes of kernel_fpg_iter_gtree affect the
performance significantly, and the sizes depend on data sets. 

The load factor also affects the utilization and the scalability of memory.

We list the block sizes and load factors in our experiments for each dataset

Dataset	    	  HASH_LOAD_FACTOR	    Block size
------------------------------------------------------
accident		1.3			512
retail			1.0			32
kosarak			1.0			1024
webdoc			1.0			512

========
Note
========
It is just a prototype, and it was verified by the settings in the paper only.