Multi keyword range search in GPU and MIC: A comparison study

Abstract

Data, both structured and unstructured, is increasing exponentially daily. This valuable data is important to businesses, society, and other organisations in order to compute more accurate analysis, and eventually, make better judgement. In order to handle huge data, many have turned to co-processors like GPUs or Intel MIC to further accelerate their computation. In this study, we present performance and evaluation comparison of GPU and MIC by implementing Multi Text Keyword Search algorithms from our prior work into MIC and GPU. We use NVIDIA K20c and NVIDIA K40 for our GPUs and Intel® Xeon Phi™ 5100 for the MIC. In our experiments and from our observation we found out K20c and K40 outperformed MIC for this particular algorithm.