TY  - JOUR
AU  - Canhasi, Ercan 
PY  - 2018
TI  - Evaluating the Efficiency of CPUs, GPUs and FPGAs on a Near-Duplicate Document Detection Via OpenCL
JF  - Journal of Computer Science
VL  - 14
IS  - 5
DO  - 10.3844/jcssp.2018.699.704
UR  - https://thescipub.com/abstract/jcssp.2018.699.704
AB  - Discovering identical or near-identical items is urgently important in many applications such as Web crawling since it drastically reduces the text processing costs. Simhash is a widely used technique, able to attribute a bit-string identity to a text, such that similar texts have similar identities. In this study, a real-time solution for a simhash calculation in OpenCL is presented. We also show how it can be utilized by multi-CPUs, GPUs and FPGAs. As a result we indicate that the bottom line computation realized on the FPGA through OpenCL provides significant power advantages.