high performance computing on graphics processing units: hgpu.org

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Implementation and Analysis of AES Encryption on GPU

Qinjian Li, Chengwen Zhong, Kaiyong Zhao, Xinxin Mei, Xiaowen Chu

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Tags: AES, Algorithms, Computer science, CUDA, nVidia, Security, Tesla C2050

September 25, 2012 by hgpu

Task Performance with List-Mode Data

Luca Caucci

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Tags: Algorithms, Computer science, Data acquisition, Image reconstruction, Medicine, nVidia, nVidia GeForce 9800 GX2, nVidia GeForce GTX 295, Tesla C1060, Tesla C2050, Thesis, Tomography

September 23, 2012 by hgpu

Computing of high breakdown regression estimators without sorting on graphics processing units

G. Beliakov, M. Johnstone, S. Nahavandi

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Tags: Computer science, CUDA, nVidia, Tesla C2050

September 22, 2012 by hgpu

Evolutionary Clustering on CUDA

Pavel Kromer, Jan Platos, Vaclav Snasel

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Tags: Algorithms, Clustering, Computer science, CUDA, Machine learning, nVidia, Tesla C2050

September 20, 2012 by hgpu

Binaural Simulations Using Audio Rate FDTD Schemes and CUDA

Craig J. Webb, Stefan Bilbao

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Tags: Acoustics, Computer science, CUDA, FDTD, Finite-difference time-domain, nVidia, Tesla C2050

September 20, 2012 by hgpu

Quasi-real-time analysis of dynamic near field scattering data using a graphics processing unit

Giovanni Cerchiari, Fabrizio Croccolo, Frederic Cardinaux, Frank Scheffold

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Tags: CUDA, Data acquisition, Microscopy, nVidia, Optics, Physics, Soft Condensed Matter, Tesla C2050

September 18, 2012 by hgpu

Reducing thread divergence in a GPU-accelerated branch-and-bound algorithm

Imen Chakroun, Mohand Mezmaz, Nouredine Melab, Ahcene Bendjoudi

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Tags: Algorithms, Computer science, Data parallelism, nVidia, Optimization, Tesla C2050

September 15, 2012 by hgpu

High-Throughput parallel blind Virtual Screening using BINDSURF

Irene Sanchez-Linares, Horacio Perez-Sanchez, Jose M Cecilia, Jose M Garcia

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Tags: Bioinformatics, Biology, CUDA, Databases, nVidia, Tesla C2050

September 15, 2012 by hgpu

Parallel Ray Tracing Simulations with MATLAB for Dynamic Lens Systems

Nicolai Wengert, Dan Negrut

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Tags: Computer science, CUDA, nVidia, nVidia GeForce GT 540 M, nVidia GeForce GTX 480, Raytracing, Tesla C2050

September 14, 2012 by hgpu

Accelerating Sparse Matrix Kernels on Graphics Processing Units

Kiran Kumar Matam

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Tags: Algorithms, Computer science, CUDA, Matrix multiplication, nVidia, Sparse matrix, Tesla C1060, Tesla C2050, Thesis

September 14, 2012 by hgpu

Medusa: Simplified Graph Processing on GPUs

Jianlong Zhong, Bingsheng He

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Source codes

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

September 12, 2012 by hgpu

GPU accelerated QTL detection

G. Chapuis, O. Filangi, J.M. Elsen, D. Lavenier, P. Le Roy

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Tags: Bioinformatics, Biology, Computer science, CUDA, nVidia, Package, Tesla C2050

September 11, 2012 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

Implementation and Analysis of AES Encryption on GPU

Task Performance with List-Mode Data

Computing of high breakdown regression estimators without sorting on graphics processing units

Evolutionary Clustering on CUDA

Binaural Simulations Using Audio Rate FDTD Schemes and CUDA

Quasi-real-time analysis of dynamic near field scattering data using a graphics processing unit

Reducing thread divergence in a GPU-accelerated branch-and-bound algorithm

High-Throughput parallel blind Virtual Screening using BINDSURF

Parallel Ray Tracing Simulations with MATLAB for Dynamic Lens Systems

Accelerating Sparse Matrix Kernels on Graphics Processing Units

Medusa: Simplified Graph Processing on GPUs

GPU accelerated QTL detection

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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