high performance computing on graphics processing units: hgpu.org

Applications

hgpu.org » Applications » Biology

Multiple String Matching on a GPU using CUDAs

Charalampos S. Kouzinopoulos, Panagiotis D. Michailidis, Konstantinos G. Margaritis

View

Download (PDF)

Tags: Algorithms, Biology, Computer science, CUDA, nVidia, nVidia GeForce GTX 280, String matching

July 10, 2015 by hgpu

Modelling the Formation of Ordered Acentrosomal Microtubule Arrays

Alexander Ross Mace

View

Download (PDF)

Tags: Biology, Computer science, Monte Carlo simulation, OpenCL, Probability, Thesis

July 3, 2015 by hgpu

Improving the Mapping of Smith-Waterman Sequence Database Searches onto CUDA-Enabled GPUs

Liang-Tsung Huang, Chao-Chin Wu, Lien-Fu Lai, Yun-Ju Li

View

Download (PDF)

Tags: Bioinformatics, Biology, CUDA, Databases, nVidia, Sequence alignment, Smith-Waterman algorithm, Tesla C1060, Tesla K20

June 30, 2015 by hgpu

Concurrent Task Execution on the Intel Xeon Phi

Yucheng Zhu

View

Download (PDF)

Tags: Bioinformatics, Biology, Computer science, CUDA, Intel Xeon Phi, nVidia, OpenMP, Sequence alignment, Smith-Waterman algorithm, Tesla K20, Thesis

June 22, 2015 by hgpu

Comparative Study of the Parallelization of the Smith-Waterman Algorithm on OpenMP and Cuda C

Amadou Chaibou, Oumarou Sie

View

Download (PDF)

Tags: Bioinformatics, Biology, CUDA, nVidia, nVidia GeForce GTX 670, OpenMP, Sequence alignment, Smith-Waterman algorithm

June 22, 2015 by hgpu

Implementation of K-shortest Path Algorithm in GPU Using CUDA

Avadhesh Pratap Singh, Dhirendra Pratap Singh

View

Download (PDF)

Tags: Bioinformatics, Biology, Computer science, CUDA, nVidia, Sequence alignment, Tesla C2075

June 7, 2015 by hgpu

Genetically Improved BarraCUDA

W. B. Langdon, Brian Yee Hong Lam

View

Download (PDF)

Source codes

Tags: Algorithms, Benchmarking, Biology, CUDA, Genomics, nVidia, nVidia GeForce GT 730, Package, Tesla K20, Tesla K40, Tesla K80

June 1, 2015 by hgpu

Flexible, Fast and Accurate Sequence Alignment Profiling on GPGPU with PaSWAS

Sven Warris, Feyruz Yalcin, Katherine J. L. Jackson, Jan Peter Nap

View

Download (PDF)

Source codes

Tags: Bioinformatics, Biology, CUDA, nVidia, nVidia GeForce GTX 285, nVidia GeForce GTX 295, Package, Sequence alignment, Smith-Waterman algorithm, Tesla C1060

April 7, 2015 by hgpu

Accelerating complex brain-model simulations on GPU platforms

H.A. Du Nguyen, Zaid Al-Ars, Georgios Smaragdos, Christos Strydis

View

Download (PDF)

Tags: Biology, CUDA, nVidia, nVidia GeForce GT 640, nVidia GeForce GTX 480, Tesla C2075, Tesla K20

March 30, 2015 by hgpu

Real-time multi-view deconvolution

Benjamin Schmid, Jan Huisken

View

Download (PDF)

Source codes

Tags: Biology, CUDA, Microscopy, nVidia, nVidia GeForce GTX Titan, Package

March 30, 2015 by hgpu

Arioc: high-throughput read alignment with GPU-accelerated exploration of the seed-and-extend search space

Richard Wilton, Tamas Budavari, Ben Langmead, Sarah J. Wheelan, Steven L. Salzberg, Alexander S. Szalay

View

Download (PDF)

Source codes

Tags: Bioinformatics, Biology, CUDA, nVidia, Package, Sequence alignment, Tesla K20

March 28, 2015 by hgpu

Parallelization, Scalability, and Reproducibility in Next-Generation Sequencing Analysis

Johannes Koster

View

Download (PDF)

Source codes

Tags: Algorithms, Bayesian, Bioinformatics, Biology, Filtering, Next-Generation sequencing, nVidia, nVidia GeForce GTX 580, nVidia GeForce GTX 780, OpenCL, Package, Thesis

March 23, 2015 by hgpu

Over-synchronization in GPU Programs

profile_util: simple C++ library to report memory, timing, thread affinity

Profile Util library: A quick and easy way to get MPI, OpenMP and GPU runtime information

MaC: Mamba CPU performance predictor

MambaCPU: Enhanced Correlation Mining with State Space Models for CPU Performance Prediction

Mixed-precision finite element kernels

Mixed-precision finite element kernels and assembly: Rounding error analysis and hardware acceleration

SHMT: The Simultaneous and Heterogenous Multithreading project

General-Purpose Computing on Tensor Processors

Superpipeline: A Universal Approach for Reducing GPU Memory Usage in Large Models

EnergyUCB-Bandit

Online Energy Optimization in GPUs: A Multi-Armed Bandit Approach

See all packages

* * *

high performance computing on graphics processing units: hgpu.org

Applications

Multiple String Matching on a GPU using CUDAs

Modelling the Formation of Ordered Acentrosomal Microtubule Arrays

Improving the Mapping of Smith-Waterman Sequence Database Searches onto CUDA-Enabled GPUs

Concurrent Task Execution on the Intel Xeon Phi

Comparative Study of the Parallelization of the Smith-Waterman Algorithm on OpenMP and Cuda C

Implementation of K-shortest Path Algorithm in GPU Using CUDA

Genetically Improved BarraCUDA

Flexible, Fast and Accurate Sequence Alignment Profiling on GPGPU with PaSWAS

Accelerating complex brain-model simulations on GPU platforms

Real-time multi-view deconvolution

Arioc: high-throughput read alignment with GPU-accelerated exploration of the seed-and-extend search space

Parallelization, Scalability, and Reproducibility in Next-Generation Sequencing Analysis

Recent source codes

Kokkidio: Kokkos+Eigen - write fast, readable multi-platform code

LLaMA-Inference-Bench

MATAR

Over-synchronization in GPU Programs

profile_util: simple C++ library to report memory, timing, thread affinity

MaC: Mamba CPU performance predictor

Mixed-precision finite element kernels

SHMT: The Simultaneous and Heterogenous Multithreading project

Superpipeline: A Universal Approach for Reducing GPU Memory Usage in Large Models

EnergyUCB-Bandit

Most viewed papers (last 30 days)