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An Algorithm for Fast Edit Distance Computation on GPUs

Reza Farivar, Harshit Kharbanda, Shivaram Venkataraman, Roy H. Campbell

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Tags: Algorithms, Bioinformatics, Biology, Computer science, CUDA, nVidia, nVidia GeForce GTX 275, Security, Sequence alignment

March 11, 2012 by hgpu

A GPU-Based Implementation of Differential Evolution for Solving the Gene Regulatory Network Model Inference Problem

Luis E. Ramirez-Chavez, Carlos A. Coello Coello, Eduardo Rodriguez-Tello

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Tags: Bioinformatics, Biology, CUDA, Differential equations, Differential evolution, nVidia, nVidia GeForce GTX 460, Optimization

January 23, 2012 by hgpu

Accelerated Large-Scale Multiple Sequence Alignment

Scott Lloyd, Quinn O. Snell

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Tags: Algorithms, Bioinformatics, Biology, FPGA, Package, Sequence alignment

January 19, 2012 by hgpu

CPU-GPU hybrid accelerating the Zuker algorithm for RNA secondary structure prediction application

Guoqing Lei, Yong Dou, Wen Wan, Fei Xia, Rongchun Li, Meng Ma, Dan Zou

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Tags: Algorithms, Bioinformatics, Biology, CUDA, Hybrid computing, nVidia, nVidia GeForce GTX 580, RNA

January 15, 2012 by hgpu

BarraCUDA – a fast short read sequence aligner using graphics processing units

Petr Klus, Simon Lam, Dag Lyberg, Ming Sin Cheung, Graham Pullan, Ian McFarlane, Giles S. H. Yeo, Brian Y. H. Lam

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Tags: Bioinformatics, Biology, CUDA, nVidia, Package, Sequence alignment, Tesla M2050, Tesla M2090

January 13, 2012 by hgpu

Accurate Sequence Alignment using Distributed Filtering on GPU Clusters

Reza Farivar, Shivaram Venkataraman, Yanen Li, Ellick Chan, Abhishek Verma, Roy H. Campbell

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Tags: Bioinformatics, Biology, CUDA, Filtering, GPU cluster, nVidia, Sequence alignment, Tesla S1070

December 26, 2011 by hgpu

Achieving High Throughput Sequencing with Graphics Processing Units

Su Chen, Chaochao Zhang, Feng Shen, Ling Bai, Hai Jiang, Damir Herman

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Tags: Algorithms, Bioinformatics, Computer science, CUDA, nVidia, Sequence alignment, Tesla C2050

December 10, 2011 by hgpu

Accelerating Protein Sequence Search in a Heterogeneous Computing System

Shucai Xiao, Heshan Lin, Wu-chun Feng

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Tags: Algorithms, Bioinformatics, Biology, BLAST, Databases, Heterogeneous systems, nVidia, Optimization, Tesla C1060, Tesla C2050

November 23, 2011 by hgpu

Application of GPGPU for Acceleration of Short DNA Sequence Alignment in Unipro UGENE Project

Konstantin Okonechinkov, German Grekhov, Konstantin Stepanyuk, Mikhail Fursov

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Tags: Algorithms, Bioinformatics, Biology, nVidia, OpenCL, Package, Sequence alignment, Tesla C1060, Tesla C2070

November 22, 2011 by hgpu

Using Graphics Processors for a High Performance Normalization of Gene Expressions

Andres Rodriguez, Oswaldo Trelles, Manuel Ujaldon

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Tags: Bioinformatics, Biology, CUDA, nVidia, nVidia GeForce 9800 GX2

November 22, 2011 by hgpu

Parallel Approach for Longest Common Subsequence problem on GPU

Raik Issaoui, Amine Draief, Abdelfettah Belghith

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Tags: Algorithms, Bioinformatics, Biology, CUDA, nVidia, nVidia GeForce GT 430, OpenCL, Sequence matching

November 16, 2011 by hgpu

Advantages and GPU implementation of high-performance indexed DNA search based on suffix arrays

Gustavo Encarnacao, Nuno Sebastiao, Nuno Roma

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Tags: Bioinformatics, Biology, CUDA, nVidia, nVidia GeForce GTX 580, Suffix trees

November 13, 2011 by hgpu

CL4SE: A Context Learning Benchmark For Software Engineering Tasks

CodeScaler: Scaling Code LLM Training and Test-Time Inference via Execution-Free Reward Models

A Safety Report on GPT-5.2, Gemini 3 Pro, Qwen3-VL, Grok 4.1 Fast, Nano Banana Pro, and Seedream 4.5

DICE: Diffusion Large Language Models Excel at Generating CUDA Kernels

KernelGYM & Dr. Kernel: A distributed GPU environment and a collection of RL training methods to support RL for Kernel Generations

Dr. Kernel: Reinforcement Learning Done Right for Triton Kernel Generations

Theorizer: from the paper Generating Literature-Driven Scientific Discoveries at Scale

Generating Literature-Driven Scientific Theories at Scale

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high performance computing on graphics processing units: hgpu.org

An Algorithm for Fast Edit Distance Computation on GPUs

A GPU-Based Implementation of Differential Evolution for Solving the Gene Regulatory Network Model Inference Problem

Accelerated Large-Scale Multiple Sequence Alignment

CPU-GPU hybrid accelerating the Zuker algorithm for RNA secondary structure prediction application

BarraCUDA – a fast short read sequence aligner using graphics processing units

Accurate Sequence Alignment using Distributed Filtering on GPU Clusters

Achieving High Throughput Sequencing with Graphics Processing Units

Accelerating Protein Sequence Search in a Heterogeneous Computing System

Application of GPGPU for Acceleration of Short DNA Sequence Alignment in Unipro UGENE Project

Using Graphics Processors for a High Performance Normalization of Gene Expressions

Parallel Approach for Longest Common Subsequence problem on GPU

Advantages and GPU implementation of high-performance indexed DNA search based on suffix arrays

Recent source codes

CL4SE: A Context Learning Benchmark For Software Engineering Tasks

CodeScaler: Scaling Code LLM Training and Test-Time Inference via Execution-Free Reward Models

A Safety Report on GPT-5.2, Gemini 3 Pro, Qwen3-VL, Grok 4.1 Fast, Nano Banana Pro, and Seedream 4.5

DICE: Diffusion Large Language Models Excel at Generating CUDA Kernels

KernelGYM & Dr. Kernel: A distributed GPU environment and a collection of RL training methods to support RL for Kernel Generations

Vortex-Optimized Light-weight Toolchain (VOLT)

SciDef: Automated Definition Extraction from Scientific Literature

bioagent-bench: Benchmark for evaluating LLM agents in bioinformatics

Benchmark suite for LLM inference on NVIDIA consumer GPUs

Theorizer: from the paper Generating Literature-Driven Scientific Discoveries at Scale

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