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Convex Clustering: An Attractive Alternative to Hierarchical Clustering

Gary K. Chen, Eric Chi, John Ranola, Kenneth Lange

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Tags: Algorithms, Bioinformatics, Biology, Cluster analysis, Clustering, Genomics, Hierarchical clustering, nVidia, OpenCL, Package, Tesla C2050

September 9, 2014 by hgpu

A Comprehensive Survey on Various Evolutionary Algorithms on GPU

Satvir Singh, Jaspreet Kaur, Rashmi Sharan Sinha

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX 280, nVidia GeForce GTX 285, nVidia GeForce GTX 480, nVidia GeForce GTX 580, Particle swarm optimization, Tesla C1060, Tesla C2050

August 23, 2014 by hgpu

A Computational Realization of a Semi-Lagrangian Method for Solving the Advection Equation

Alexander Efremov, Eugenya Karepova, Vladimir Shaydurov, Alexander Vyatkin

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Tags: Algorithms, CUDA, Mathematics, nVidia, OpenMP, Tesla C2050

August 21, 2014 by hgpu

Quantum Boolean Image Denoising

Mario Mastriani

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Tags: Algorithms, Filtering, Image processing, nVidia, OpenCL, Signal denoising, Tesla C2050

August 18, 2014 by hgpu

Direct Numerical Simulation of Turbulent Flows with Parallel Algorithms for Various Computing Architectures

A. Gorobets, F.X. Trias, R. Borrell, G. Oyarzun, A. Oliva

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Tags: ATI, ATI Radeon HD 5870, ATI Radeon HD 6970, ATI Radeon HD 7970, Fluid dynamics, Intel Xeon Phi, MPI, Numerical simulation, nVidia, nVidia GeForce GTX 470, nVidia GeForce GTX Titan, OpenCL, OpenMP, Performance, Tesla C1060, Tesla C2050

August 10, 2014 by hgpu

Dense Arithmetic over Finite Fields with the CUMODP Library

Sardar Anisul Haquen, Xin Li, Farnam Mansouri, Marc Moreno Maza, Wei Pan, Ning Xie

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Tags: Algorithms, Computer science, CUDA, FFT, Linear Algebra, Mathematics, nVidia, Package, Tesla C2050

August 7, 2014 by hgpu

Automatic Parallelization of Tiled Stencil Loop Nests on GPUs

Peng Di

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Tags: Algorithms, Compilers, Computer science, CUDA, nVidia, Performance, Tesla C1060, Tesla C2050, Thesis

July 30, 2014 by hgpu

Dynamic Data Management Among Multiple Databases for Optimization of Parallel Computations in Heterogeneous HPC Systems

Pawel Rosciszewski

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Tags: Computer science, Databases, Heterogeneous systems, nVidia, nVidia Quadro FX 3800, OpenCL, Prefetch, Tesla C2050

July 30, 2014 by hgpu

Aristotle: A Performance Impact Indicator for the OpenCL Kernels Using Local Memory

Jianbin Fang, Henk Sips, Ana Lucia Varbanescu

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Tags: ATI, ATI Radeon HD 7970, Computer science, Intel Xeon Phi, Local memory, nVidia, OpenCL, Performance, Portability, Tesla C1060, Tesla C2050, Tesla K20

July 29, 2014 by jfang

Development of a Restricted Additive Schwarz Preconditioner for Sparse Linear Systems on NVIDIA GPU

Hui Liu, Zhangxin Chen, Song Yu, Ben Hsieh, Lei Shao

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Tags: Algorithms, Computer science, CUDA, Linear Algebra, nVidia, Sparse linear iterative solvers, Sparse matrix, Tesla C2050, Tesla C2070

July 11, 2014 by hgpu

Accelerating Preconditioned Iterative Linear Solvers on GPU

Hui Liu, Zhangxin Chen, Bo Yang

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Tags: Computer science, CUDA, Linear Algebra, nVidia, Sparse linear iterative solvers, Sparse matrix, Tesla C2050, Tesla C2070

July 11, 2014 by hgpu

Understanding the SIMD Efficiency of Graph Traversal on GPU

Yichao Cheng, Hong An, Zhitao Chen, Feng Li, Zhaohui Wang, Xia Jiang, Yi Peng

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Tags: Algorithms, Computer science, CUDA, Graph theory, nVidia, Performance, Tesla C2050

July 10, 2014 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

See all packages

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high performance computing on graphics processing units: hgpu.org

Convex Clustering: An Attractive Alternative to Hierarchical Clustering

A Comprehensive Survey on Various Evolutionary Algorithms on GPU

A Computational Realization of a Semi-Lagrangian Method for Solving the Advection Equation

Quantum Boolean Image Denoising

Direct Numerical Simulation of Turbulent Flows with Parallel Algorithms for Various Computing Architectures

Dense Arithmetic over Finite Fields with the CUMODP Library

Automatic Parallelization of Tiled Stencil Loop Nests on GPUs

Dynamic Data Management Among Multiple Databases for Optimization of Parallel Computations in Heterogeneous HPC Systems

Aristotle: A Performance Impact Indicator for the OpenCL Kernels Using Local Memory

Development of a Restricted Additive Schwarz Preconditioner for Sparse Linear Systems on NVIDIA GPU

Accelerating Preconditioned Iterative Linear Solvers on GPU

Understanding the SIMD Efficiency of Graph Traversal on GPU

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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