high performance computing on graphics processing units: hgpu.org

Applications

hgpu.org » Applications » Biology

cuGWAM: Genome-wide association multifactor dimensionality reduction using CUDA-enabled high-performance graphics processing unit

Min-Seok Kwon, Kyunga Kim, Sungyoung Lee, Taesung Park

Source codes

Tags: Bioinformatics, Biology, CUDA, Genetics, nVidia, Package

June 9, 2011 by hgpu

Parallelism of Clonal Selection for PSP on CUDA

Hongbing Zhu, Heng Xiao, JinGuang Gu

Tags: Biology, CUDA, Macromolecule, nVidia

June 9, 2011 by hgpu

Parallel accelerators for GlimmerHMM bioinformatics algorithm

Nafsika Chrysanthou, Grigorios Chrysos, Euripides Sotiriades, Ioannis Papaefstathiou

Tags: Algorithms, Bioinformatics, Biology, FPGA, Genetics

June 8, 2011 by hgpu

GENIE: a software package for gene-gene interaction analysis in genetic association studies using multiple GPU or CPU cores

Satish Chikkagoudar, Kai Wang, Mingyao Li

View

Download (PDF)

Source codes

Tags: Biology, CUDA, Genetics, nVidia, nVidia Quadro FX 1800, Package, Tesla C1060

June 7, 2011 by hgpu

RNA secondary structure prediction using dynamic programming algorithm – A review and proposed work

M.N. Osman, R. Abdullah, N. AbdulRashid

Tags: Biology, Macromolecule, Molecular simulation, Pharmaceuticals

June 2, 2011 by hgpu

Accelerating All-Atom Normal Mode Analysis with Graphics Processing Unit

Li Liu, Xiaofeng Liu, Jiayu Gong, Hualiang Jiang, Honglin Li

Tags: Biology, Chemistry, CUDA, Macromolecule, Molecular dynamics, nVidia, Pharmaceuticals

June 2, 2011 by hgpu

Highly efficient mapping of the Smith-Waterman algorithm on CUDA-compatible GPUs

K. Dohi, K. Benkridt, C. Ling, T. Hamada, Y. Shibata

Tags: Bioinformatics, Biology, CUDA, nVidia, Sequence alignment, Smith-Waterman algorithm

May 31, 2011 by hgpu

Fast Parallel Markov Clustering in Bioinformatics Using Massively Parallel Graphics Processing Unit Computing

Alhadi Bustamam, Kevin Burrage, Nicholas A. Hamilton

Tags: Bioinformatics, Biology, CUDA, MPI, nVidia, Sparse matrix

May 30, 2011 by hgpu

Acceleration of spiking neural networks in emerging multi-core and GPU architectures

Mohammad A. Bhuiyan, Vivek K. Pallipuram, Melissa C. Smith

View

Download (PDF)

Tags: Biology, CUDA, Neural networks, Neuroscience, nVidia, Tesla C870

May 28, 2011 by hgpu

GPU implementation of map-MRF for microscopy imagery segmentation

Danny Crookes, Paul Miller, Hugh Gribben, Charles Gillan, Damian McCaughey

Tags: Algorithms, Biology, CUDA, Image processing, Medicine, nVidia, nVidia GeForce 8800 GTX

May 25, 2011 by hgpu

Parallel Particle-Based Reaction Diffusion: A GPU Implementation

Lorenzo Dematte

Tags: Algorithms, Biochemistry, Biology, CUDA, nVidia, nVidia GeForce GT 220, nVidia GeForce GTX 260, nVidia Quadro FX 570 M

May 17, 2011 by hgpu

GPU-based triangulation of the van der Waals surface

S. Dias, A. Gomes

Tags: Biology, Chemistry, Molecular modeling, Molecular surface

May 14, 2011 by hgpu

Awesome LLM-Driven Kernel Generation

Towards Automated Kernel Generation in the Era of LLMs

PhysProver: Advancing Automatic Theorem Proving for Physics

ParaCodex: A Profiling-Guided Autonomous Coding Agent for Reliable Parallel Code Generation and Translation

SeedFold: Scaling Biomolecular Structure Prediction

Tilus: A Tile-Level GPU Kernel Programming Language

Tilus: A Tile-Level GPGPU Programming Language for Low-Precision Computation

Memory-Efficient Acceleration of Block Low-Rank Foundation Models on Resource Constrained GPUs

BoltzGen:Toward Universal Binder Design

CUDA-L2: Surpassing cuBLAS Performance for Matrix Multiplication through Reinforcement Learning

cuPilot: A Strategy-Coordinated Multi-agent Framework for CUDA Kernel Evolution

MATLAB Tensor Core models

Accurate Models of NVIDIA Tensor Cores

See all packages

* * *