high performance computing on graphics processing units: hgpu.org

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hgpu.org » Applications » Biology

Two Level Approach to Efficient Visualization of Protein Dynamics

Ove Daae Lampe, Ivan Viola, Nathalie Reuter, Helwig Hauser

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Tags: Biology, Molecular dynamics, nVidia, nVidia GeForce 8800 GTX, OpenGL, Visualization

February 4, 2011 by hgpu

Efficient Bayesian inference in stochastic chemical kinetic models using graphical processing units

Jarad Niemi, Matthew Wheeler

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Tags: Bayesian, Biology, Chemistry, CUDA, nVidia, Stochastic simulation, Tesla T10

January 26, 2011 by hgpu

Energy efficient biomolecular simulations with FPGA-based reconfigurable computing

Ananth Nallamuthu, Melissa C. Smith, Scott Hampton, Pratul K. Agarwal, Sadaf R. Alam

Tags: Bioinformatics, Biology, FPGA, Molecular dynamics

January 19, 2011 by hgpu

Towards microsecond biological molecular dynamics simulations on hybrid processors

Scott Hampton, Pratul K. Agarwal, Sadaf R. Alam, Paul S. Crozier

Tags: Bioinformatics, Biology, CUDA, Molecular dynamics, nVidia, Tesla C1060, Tesla C2050

January 19, 2011 by hgpu

Optimal Utilization of Heterogeneous Resources for Biomolecular Simulations

Scott S. Hampton, Sadaf R. Alam, Paul S. Crozier, Pratul K. Agarwal

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Tags: Bioinformatics, Biology, CUDA, Molecular dynamics, nVidia, Tesla C1060, Tesla C2050

January 19, 2011 by hgpu

Fast Genetic Programming on GPUs

Simon Harding, Wolfgang Banzhaf

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Tags: Bioinformatics, Biology, DirectX, Genetics, nVidia, nVidia GeForce 7300

January 15, 2011 by hgpu

GPU accelerated biochemical network simulation

Yanxiang Zhou, Juliane Liepe, Xia Sheng, Michael P. H. Stumpf, Chris Barnes

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Tags: Bioinformatics, Biology, CUDA, GPU cluster, nVidia, Package, Tesla C2050

January 13, 2011 by hgpu

Rapid evaluation and evolution of neural models using graphics card hardware

Thomas F. Clayton, Leena N. Patel, Gareth Leng, Alan F. Murray, Iain A.B. Lindsay

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Tags: Algorithms, Bioinformatics, Biology, CUDA, Evolutionary Computations, nVidia, nVidia GeForce 8800 GTX

January 13, 2011 by hgpu

Automated image alignment for 2D gel electrophoresis in a high-throughput proteomics pipeline

Andrew W. Dowsey, Michael J. Dunn, Guang-Zhong Z. Yang

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Tags: Bioinformatics, Biology, Cg, Image alignment, nVidia, nVidia GeForce 6800 Ultra, Package

January 11, 2011 by hgpu

SCELib3.0: The new revision of SCELib, the parallel computational library of molecular properties in the Single Center Approach

N. Sanna, I. Baccarelli, G. Morelli

Tags: Biology, Chemistry, CUDA, Molecular modeling, nVidia

January 11, 2011 by hgpu

Fast binding site mapping using GPUs and CUDA

Bharat Sukhwani, Martin C. Herbordt

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Tags: Bioinformatics, Biology, CUDA, Molecular dynamics, nVidia, Tesla C1060

January 11, 2011 by hgpu

Quality-score guided error correction for short-read sequencing data using CUDA

Haixiang Shi, Bertil Schmidt, Weiguo Liu, Wolfgang Muller-Wittig

Tags: Bioinformatics, Biology, CUDA, Error recovery, Genetics, nVidia

January 11, 2011 by hgpu

AutoDock-GPU: AutoDock for GPUs and other accelerators

Architecting Tensor Core-Based Reductions for Irregular Molecular Docking Kernels

NCCLX: collective communication framework

Collective Communication for 100k+ GPUs

Tutoring LLM into a Better CUDA Optimizer

Kernel Library for LLM Serving

Compiler and Runtime Systems for Generative AI Models

Adaptivity in AdaptiveCpp: Optimizing Performance by Leveraging Runtime Information During JIT-Compilation

Neptune: Advanced ML Operator Fusion for Locality and Parallelism on GPUs

Genten: Software for Generalized Tensor Decompositions by Sandia National Laboratories

A Performance Portable Matrix Free Dense MTTKRP in GenTen

Interleaved Learning and Exploration: A Self-Adaptive Fuzz Testing Framework for MLIR

Pinocchio: PINpointing Orbit Crossing Collapsed Hierarchical Objects

Accelerating cosmological simulations on GPUs: a portable approach using OpenMP

KernelCoder: trained on a curated dataset of reasoning traces and CUDA kernel pairs

ConCuR: Conciseness Makes State-of-the-Art Kernel Generation

See all packages

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high performance computing on graphics processing units: hgpu.org

Applications

Two Level Approach to Efficient Visualization of Protein Dynamics

Efficient Bayesian inference in stochastic chemical kinetic models using graphical processing units

Energy efficient biomolecular simulations with FPGA-based reconfigurable computing

Towards microsecond biological molecular dynamics simulations on hybrid processors

Optimal Utilization of Heterogeneous Resources for Biomolecular Simulations

Fast Genetic Programming on GPUs

GPU accelerated biochemical network simulation

Rapid evaluation and evolution of neural models using graphics card hardware

Automated image alignment for 2D gel electrophoresis in a high-throughput proteomics pipeline

SCELib3.0: The new revision of SCELib, the parallel computational library of molecular properties in the Single Center Approach

Fast binding site mapping using GPUs and CUDA

Quality-score guided error correction for short-read sequencing data using CUDA

Recent source codes

AutoDock-GPU: AutoDock for GPUs and other accelerators

NCCLX: collective communication framework

Tutoring LLM into a Better CUDA Optimizer

Kernel Library for LLM Serving

Adaptivity in AdaptiveCpp: Optimizing Performance by Leveraging Runtime Information During JIT-Compilation

Neptune: Advanced ML Operator Fusion for Locality and Parallelism on GPUs

Genten: Software for Generalized Tensor Decompositions by Sandia National Laboratories

Interleaved Learning and Exploration: A Self-Adaptive Fuzz Testing Framework for MLIR

Pinocchio: PINpointing Orbit Crossing Collapsed Hierarchical Objects

KernelCoder: trained on a curated dataset of reasoning traces and CUDA kernel pairs

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