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MrBayes on a Graphics Processing Unit

Jianfu Zhou, Xiaoguang Liu, Douglas S. Stones, Qiang Xie, Gang Wang

Source codes

Tags: Bayesian, Bioinformatics, Biology, CUDA, nVidia, nVidia GeForce GTX 480, Package

March 18, 2011 by hgpu

Directionally Unsplit Hydrodynamic Schemes with Hybrid MPI/OpenMP/GPU Parallelization in AMR

Hsi-Yu Schive, Ui-Han Zhang, Tzihong Chiueh

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Tags: Astrophysics, CUDA, GPU cluster, Instrumentation and Methods for Astrophysics, MPI, nVidia, OpenMP, Tesla C2050

March 18, 2011 by hgpu

Accelerated ray tracing for radiotherapy dose calculations on a GPU

M. De Greef, J. Crezee, J. C. Van Eijk, R. Pool, A. Bel

Tags: Computed tomography, CT, CUDA, Image processing, Medicine, nVidia, Radiotherapy

March 17, 2011 by hgpu

Implementation of algorithms with a fine-grained parallelism on GPUs

K. Kalgin

Tags: Algorithms, Cellular automata, Computer science, CUDA, nVidia, Programming techniques

March 17, 2011 by hgpu

Live, Video-Rate Super-Resolution Microscopy Using Structured Illumination and Rapid GPU-Based Parallel Processing

Jonathan Lefman, Keana Scott, Stephan Stranick

Tags: Computer science, CUDA, Microscopy, nVidia

March 17, 2011 by hgpu

Performance analysis of single-phase, multiphase, and multicomponent lattice-Boltzmann fluid flow simulations on GPU clusters

J. Myre, S. D. C. Walsh, D. Lilja, M. O. Saar

Tags: CUDA, Fluid dynamics, Lattice Boltzmann model, nVidia, OpenMP, Performance

March 17, 2011 by hgpu

Memory-Scalable GPU Spatial Hierarchy Construction

Qiming Hou, Xin Sun, Kun Zhou, Christian Lauterbach, Dinesh Manocha, Baining Guo

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Tags: Computer science, CUDA, KD-tree, Memory, nVidia, nVidia GeForce GTX 280

March 17, 2011 by hgpu

CUDA Compatible GPU as an Efficient Hardware Accelerator for AES Cryptography

Svetlin A. Manavski

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Tags: AES, ATI, ATI Radeon X1900, Computer science, CUDA, nVidia, nVidia GeForce 8800 GTX, OpenGL, Security

March 17, 2011 by hgpu

High-Throughput Transaction Executions on Graphics Processors

Bingsheng He, Jeffrey Xu Yu

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Tags: Computer science, CUDA, Databases, nVidia, Optimization, Tesla C1060

March 17, 2011 by hgpu

Mutual information computation and maximization using GPU

Yuping Lin

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

March 16, 2011 by hgpu

Implementing the Himeno benchmark with CUDA on GPU clusters

Everett H. Phillips, Massimiliano Fatica

Tags: Benchmarking, Computer science, CUDA, GPU cluster, nVidia, Performance, Tesla C1060

March 16, 2011 by hgpu

GPU based acceleration of first principles calculation

H. Tomono, M. Aoki, T. Iitaka, K. Tsumuraya

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Tags: Chemistry, CUDA, FFT, Molecular modeling, nVidia, nVidia GeForce GTX 285

March 16, 2011 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

MrBayes on a Graphics Processing Unit

Directionally Unsplit Hydrodynamic Schemes with Hybrid MPI/OpenMP/GPU Parallelization in AMR

Accelerated ray tracing for radiotherapy dose calculations on a GPU

Implementation of algorithms with a fine-grained parallelism on GPUs

Live, Video-Rate Super-Resolution Microscopy Using Structured Illumination and Rapid GPU-Based Parallel Processing

Performance analysis of single-phase, multiphase, and multicomponent lattice-Boltzmann fluid flow simulations on GPU clusters

Memory-Scalable GPU Spatial Hierarchy Construction

CUDA Compatible GPU as an Efficient Hardware Accelerator for AES Cryptography

High-Throughput Transaction Executions on Graphics Processors

Mutual information computation and maximization using GPU

Implementing the Himeno benchmark with CUDA on GPU clusters

GPU based acceleration of first principles calculation

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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