high performance computing on graphics processing units: hgpu.org

Programming

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An Efficient Acceleration of Symmetric Key Cryptography Using General Purpose Graphics Processing Unit

Fan Wu, Chung-han Chen, Hira Narang

Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 280, Security

April 17, 2011 by hgpu

Efficiently Using a CUDA-enabled GPU as Shared Resource

Hagen Peters, Martin Koper, Norbert Luttenberge

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Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 260, nVidia GeForce GTX 280, Programming techniques

April 17, 2011 by hgpu

Data handling inefficiencies between CUDA, 3D rendering, and system memory

B. Gordon, S. Sohoni, D. Chandler

Tags: 3D Graphics and Realism, Computer science, CUDA, nVidia, Rendering

April 17, 2011 by hgpu

A CUDA-Based Implementation of Stable Fluids in 3D with Internal and Moving Boundaries

Goncalo Amador, Abel Gomes

Tags: CUDA, Fluid dynamics, Navier-Stokes equations, NSEs, nVidia

April 17, 2011 by hgpu

Efficient JPEG2000 EBCOT Context Modeling for Massively Parallel Architectures

Jiri Matela, Vit Rusnak, Petr Holub

Tags: CUDA, Image processing, JPEG2000, nVidia

April 17, 2011 by hgpu

Exploiting Computational Resources in Distributed Heterogeneous Platforms

George Teodoro, Rafael Sachetto, Daniel Fireman, Dorgival Guedes, Renato Ferreira

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Tags: Algorithms, Computer science, CUDA, Heterogeneous systems, nVidia, nVidia GeForce 8800 GT, nVidia GeForce GTX 260

April 16, 2011 by hgpu

Computation of Voronoi diagrams using a graphics processing unit

I. Majdandzic, C. Trefftz, G. Wolffe

Tags: Algorithms, Computer science, CUDA, nVidia, Voronoi diagram

April 16, 2011 by hgpu

Statistical testing of random number sequences using CUDA

Alin Suciu, Lidia Zegreanu, Catalin Tudor Zima

Tags: Algorithms, Computer science, CUDA, nVidia, Pseudo-random number generators

April 16, 2011 by hgpu

3-SAT on CUDA: Towards a massively parallel SAT solver

Quirin Meyer, Fabian Schonfeld, Marc Stamminger, Rolf Wanka

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Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 260, nVidia GeForce GTX 285, SAT

April 16, 2011 by hgpu

Hybrid Map Task Scheduling for GPU-Based Heterogeneous Clusters

Koichi Shirahata, Hitoshi Sato, Satoshi Matsuoka

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Tags: Computer science, CUDA, Heterogeneous systems, nVidia, Presentation, Task scheduling, Tesla S1070

April 16, 2011 by hgpu

Parallel Lexicographic Names Construction with CUDA

Weidong Sun, Zongmin Ma

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Tags: Code generation, Computer science, CUDA, nVidia, nVidia GeForce 9600 GSO, Suffix trees

April 16, 2011 by hgpu

Accurate Measurements and Precise Modeling of Power Dissipation of CUDA Kernels toward Power Optimized High Performance CPU-GPU Computing

R. Suda, Da Qi Ren

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Tags: Computer science, CUDA, Energy-efficient computing, nVidia, nVidia GeForce 8800 GTS

April 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

See all packages

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high performance computing on graphics processing units: hgpu.org

Programming

An Efficient Acceleration of Symmetric Key Cryptography Using General Purpose Graphics Processing Unit

Efficiently Using a CUDA-enabled GPU as Shared Resource

Data handling inefficiencies between CUDA, 3D rendering, and system memory

A CUDA-Based Implementation of Stable Fluids in 3D with Internal and Moving Boundaries

Efficient JPEG2000 EBCOT Context Modeling for Massively Parallel Architectures

Exploiting Computational Resources in Distributed Heterogeneous Platforms

Computation of Voronoi diagrams using a graphics processing unit

Statistical testing of random number sequences using CUDA

3-SAT on CUDA: Towards a massively parallel SAT solver

Hybrid Map Task Scheduling for GPU-Based Heterogeneous Clusters

Parallel Lexicographic Names Construction with CUDA

Accurate Measurements and Precise Modeling of Power Dissipation of CUDA Kernels toward Power Optimized High Performance CPU-GPU Computing

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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