Publications by Oguz Ergin

@article{abc,
	abstract = {Motivation
High throughput DNA sequencing (HTS) technologies generate an excessive number of small DNA segments -called short reads- that cause significant computational burden. To analyze the entire genome, each of the billions of short reads must be mapped to a reference genome based on the similarity between a read and {\textquoteleft}candidate{\textquoteright} locations in that reference genome. The similarity measurement, called alignment, formulated as an approximate string matching problem, is the computational bottleneck because: (i) it is implemented using quadratic-time dynamic programming algorithms and (ii) the majority of candidate locations in the reference genome do not align with a given read due to high dissimilarity. Calculating the alignment of such incorrect candidate locations consumes an overwhelming majority of a modern read mapper{\textquoteright}s execution time. Therefore, it is crucial to develop a fast and effective filter that can detect incorrect candidate locations and eliminate them before invoking computationally costly alignment algorithms.

Results
We propose GateKeeper, a new hardware accelerator that functions as a pre-alignment step that quickly filters out most incorrect candidate locations. GateKeeper is the first design to accelerate pre-alignment using Field-Programmable Gate Arrays (FPGAs), which can perform pre-alignment much faster than software. When implemented on a single FPGA chip, GateKeeper maintains high accuracy (on average >96\%) while providing, on average, 90-fold and 130-fold speedup over the state-of-the-art software pre-alignment techniques, Adjacency Filter and Shifted Hamming Distance (SHD), respectively. The addition of GateKeeper as a pre-alignment step can reduce the verification time of the mrFAST mapper by a factor of 10.},
	author = {Mohammed Alser and Hasan Hassan and Hongyi Xin and Oguz Ergin and Onur Mutlu and Can Alkan},
	pages = {3355-3363},
	journal = {Bioinformatics},
	title = {GateKeeper: a new hardware architecture for accelerating pre-alignment in DNA short read mapping},
	volume = {33},
	year = {2017}
}

@inproceedings{abc,
	author = {Hasan Hassan and Nandita Vijaykumar and Samira Manabi Khan and Saugata Ghose and Kevin K. Chang and Gennady Pekhimenko and Donghyuk Lee and Oguz Ergin and Onur Mutlu},
	booktitle = {2017 IEEE International Symposium on High Performance Computer Architecture, HPCA 2017, Austin, TX, USA},
	title = {SoftMC: A Flexible and Practical Open-Source Infrastructure for Enabling Experimental DRAM Studies.},
	url = {https://doi.org/10.1109/HPCA.2017.62},
	year = {2017}
}

@inproceedings{abc,
	author = {Hasan Hassan and Gennady Pekhimenko and Nandita Vijaykumar and Vivek Seshadri and Donghyuk Lee and Oguz Ergin and Onur Mutlu},
	booktitle = {2016 IEEE International Symposium on High Performance Computer Architecture, HPCA 2016, Barcelona, Spain},
	title = {ChargeCache: Reducing DRAM latency by exploiting row access locality.},
	url = {http://dx.doi.org/10.1109/HPCA.2016.7446096},
	year = {2016}
}

@article{abc,
	author = {Mohammed Alser and Hasan Hassan and Hongyi Xin and Oguz Ergin and Onur Mutlu and Can Alkan},
	journal = {CoRR},
	title = {GateKeeper: Enabling Fast Pre-Alignment in DNA Short Read Mapping with a New Streaming Accelerator Architecture.},
	url = {http://arxiv.org/abs/1604.01789},
	year = {2016}
}