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  1. No Access

    Chapter and Conference Paper

    Accelerating Topic Model Training on a Single Machine

    We present the design and implementation of GLDA, a library that utilizes the GPU (Graphics Processing Unit) to perform Gibbs sampling of Latent Dirichlet Allocation (LDA) on a single machine. LDA is an effect...

    Mian Lu, Ge Bai, Qiong Luo, Jie Tang, Jiuxin Zhao in Web Technologies and Applications (2013)

  2. No Access

    Chapter and Conference Paper

    GPU-Accelerated Bidirected De Bruijn Graph Construction for Genome Assembly

    De Bruijn graph construction is a basic component in de novo genome assembly for short reads generated from the second-generation sequencing machines. As this component processes a large amount of data and per...

    Mian Lu, Qiong Luo, Bingqiang Wang, Junkai Wu… in Web Technologies and Applications (2013)

  3. No Access

    Article

    High-performance short sequence alignment with GPU acceleration

    Sequence alignment is a fundamental task for computational genomics research. We develop G-Aligner, which adopts the GPU as a hardware accelerator to speed up the sequence alignment process. A leading CPU-base...

    Mian Lu, Yuwei Tan, Ge Bai, Qiong Luo in Distributed and Parallel Databases (2012)

  4. No Access

    Chapter and Conference Paper

    Integrating GPU-Accelerated Sequence Alignment and SNP Detection for Genome Resequencing Analysis

    DNA sequence alignment and single-nucleotide polymorphism (SNP) detection are two important tasks in genomics research. A common genome resequencing analysis workflow is to first perform sequence alignment and...

    Mian Lu, Yuwei Tan, Jiuxin Zhao, Ge Bai… in Scientific and Statistical Database Manage… (2012)