high performance computing on graphics processing units: hgpu.org

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hgpu.org » Applications » Biology

Exploring Parallel Algorithms for Volumetric Mass-Spring-Damper Models in CUDA

Allan Rasmusson, Jesper Mosegaard, Thomas S. Sorensen

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Tags: Biology, CUDA, Medicine, nVidia, nVidia GeForce 8800 GTX

December 12, 2010 by hgpu

High performance computing for deformable image registration: Towards a new paradigm in adaptive radiotherapy

Sanjiv S. Samant, Junyi Xia, P, John D. Owens

Tags: Biology, Computed tomography, CT, CUDA, Image reconstruction, Image registration, Medicine, nVidia, nVidia GeForce 8800 GTX, Radiotherapy

December 11, 2010 by hgpu

Initial Experiences Porting a Bioinformatics Application to a Graphics Processor

Maria Charalambous, Pedro Trancoso, Alexandros Stamatakis

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Tags: Bioinformatics, Biology, Brook, nVidia, nVidia GeForce FX 5700

December 10, 2010 by hgpu

Performance evaluation of image processing algorithms on the GPU

Daniel Castano-Diez, Dominik Moser, Andreas Schoenegger, Sabine Pruggnaller, Achilleas S S. Frangakis

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Tags: Biology, CUDA, Image processing, Medicine, nVidia, nVidia Quadro FX 5600, Pattern recognition, Tomography

December 7, 2010 by hgpu

GPU-MEME: Using Graphics Hardware to Accelerate Motif Finding in DNA Sequences

Chen Chen, Bertil Schmidt, Liu Weiguo, Wolfgang Muller-Wittig

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Tags: Bioinformatics, Biology, GLSL, nVidia, nVidia GeForce 8800 GTX, OpenGL, Package, Pattern recognition

December 6, 2010 by hgpu

Implementation and performance evaluation of reconstruction algorithms on graphics processors

D. Castanodiez, H. Mueller, A. Frangakis

Tags: Biology, Electron microscopy, Image processing

December 6, 2010 by hgpu

Hierarchical clustering of gene expression profiles with graphics hardware acceleration

Q. Zhang, Y. Zhang

Tags: Biology, Genetics, Pattern recognition

December 4, 2010 by hgpu

Locality and parallelism optimization for dynamic programming algorithm in bioinformatics

Guangming Tan, Shengzhong Feng, Ninghui Sun

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Tags: Algorithms, Bioinformatics, Biology, Programming techniques

December 2, 2010 by hgpu

ClawHMMER: A Streaming HMMer-Search Implementation

Daniel R. Horn, Mike Houston, Pat Hanrahan

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Tags: ATI, ATI Radeon X800, Bioinformatics, Biology, Brook, nVidia, nVidia GeForce 6800 Ultra, nVidia GeForce 7800 GTX, Pattern Search

November 30, 2010 by hgpu

GPU-BLAST: Using graphics processors to accelerate protein sequence alignment

Panagiotis D. Vouzis, Nikolaos V. Sahinidis

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Tags: Bioinformatics, Biology, BLAST, CUDA, nVidia, Package, Sequence alignment, Tesla C2050

November 30, 2010 by hgpu

Highly accelerated feature detection in proteomics data sets using modern graphics processing units

Rene Hussong, Barbara Gregorius, Andreas Tholey, Andreas Hildebrandt

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Tags: Bioinformatics, Biology, CUDA, nVidia, Package, Tesla C870

November 28, 2010 by hgpu

A Massively Parallel Architecture for Bioinformatics

Gerd Pfeiffer, Stefan Baumgart, Jan Schroder, Manfred Schimmler

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Tags: Algorithms, Bioinformatics, Biology, FPGA, MapReduce

November 27, 2010 by hgpu

SimSYCL: Synchronous, single-threaded, library-only SYCL implementation for debugging and verification

SimSYCL: A SYCL Implementation Targeting Development, Debugging, Simulation and Conformance

gpu_tracker: Context manager and CLI that tracks the computational-resource-usage of a code block or shell command, particularly the GPU usage

gpu_tracker: Python package for tracking and profiling GPU utilization in both desktop and high-performance computing environments

CIFAR-10 Airbench: 94% on CIFAR-10 in 3.29 second

94% on CIFAR-10 in 3.29 Seconds on a Single GPU

LOOPer: a polyhedral compiler for expressing fast and portable data parallel algorithms

LOOPer: A Learned Automatic Code Optimizer For Polyhedral Compilers

OpenMC Monte Carlo Code

Performance Portable Monte Carlo Particle Transport on Intel, NVIDIA, and AMD GPUs

Polygeist: C/C++ frontend for MLIR

Retargeting and Respecializing GPU Workloads for Performance Portability

Parallel Gaussian process with kernel approximation in CUDA

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high performance computing on graphics processing units: hgpu.org

Applications

Exploring Parallel Algorithms for Volumetric Mass-Spring-Damper Models in CUDA

High performance computing for deformable image registration: Towards a new paradigm in adaptive radiotherapy

Initial Experiences Porting a Bioinformatics Application to a Graphics Processor

Performance evaluation of image processing algorithms on the GPU

GPU-MEME: Using Graphics Hardware to Accelerate Motif Finding in DNA Sequences

Implementation and performance evaluation of reconstruction algorithms on graphics processors

Hierarchical clustering of gene expression profiles with graphics hardware acceleration

Locality and parallelism optimization for dynamic programming algorithm in bioinformatics

ClawHMMER: A Streaming HMMer-Search Implementation

GPU-BLAST: Using graphics processors to accelerate protein sequence alignment

Highly accelerated feature detection in proteomics data sets using modern graphics processing units

A Massively Parallel Architecture for Bioinformatics

Recent source codes

SimSYCL: Synchronous, single-threaded, library-only SYCL implementation for debugging and verification

GPU plugin for PySCF

QArray

Celerity: High-level C++ for Accelerator Clusters

gpu_tracker: Context manager and CLI that tracks the computational-resource-usage of a code block or shell command, particularly the GPU usage

CIFAR-10 Airbench: 94% on CIFAR-10 in 3.29 second

LOOPer: a polyhedral compiler for expressing fast and portable data parallel algorithms

OpenMC Monte Carlo Code

Polygeist: C/C++ frontend for MLIR

Parallel Gaussian process with kernel approximation in CUDA

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