high performance computing on graphics processing units: hgpu.org

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Implementation of 3D Monte Carlo PET reconstruction algorithm on GPU

A. Wirth, A. Cserkaszky, B. Kari, D. Legrady, S. Feher, S. Czifrus, B. Domonkos

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Tags: Computed tomography, CT, Image processing, Image reconstruction, Medicine, Monte Carlo simulation, nVidia, nVidia GeForce 9600 GT, nVidia GeForce GTX 280, nVidia GeForce GTX 285, PET

May 19, 2011 by hgpu

GPU implementation of 3D object selection by conic volume techniques in virtual environments

Tobias Rick, Anette von Kapri, Torsten Kuhlen

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Tags: 3D Graphics and Realism, Computer science, nVidia, nVidia GeForce GTX 285, OpenGL, Rendering, Virtual reality

May 19, 2011 by hgpu

GPU-PRISM: An Extension of PRISM for General Purpose Graphics Processing Units

Dragan Bosnacki, Stefan Edelkamp, Damian Sulewski, Anton Wijs

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Tags: Computer science, CUDA, Linear Algebra, nVidia, nVidia GeForce GTX 285, Probabilistic model checking

May 19, 2011 by hgpu

Parallel compact roadmap construction of 3D virtual environments on the GPU

Avi Bleiweiss

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Tags: Computer science, CUDA, Hardware Architecture, Heterogeneous systems, nVidia, nVidia GeForce GTX 285, nVidia GeForce GTX 480, Presentation

May 17, 2011 by hgpu

GPU Acceleration of Multilevel Solvers for Analysis of Microwave Components With Finite Element Method

Adam Dziekonski, Adam Lamecki, Michal Mrozowski

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Tags: Conjugate gradient solver, CUDA, Electrodynamics, Finite element method, Microwave engineering, nVidia, nVidia GeForce GTX 285

May 8, 2011 by hgpu

GPU accelerated elliptic curve cryptography in GF(2m)

Aaron E. Cohen, Keshab K. Parhi

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Tags: Computer science, CUDA, Elliptic curves, nVidia, nVidia GeForce GTX 285, Security

May 7, 2011 by hgpu

Efficient nearest-neighbor computation for GPU-based motion planning

Jia Pan, Christian Lauterbach, Dinesh Manocha

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Tags: Algorithms, CUDA, Image processing, Nearest neighbour, nVidia, nVidia GeForce GTX 285

May 6, 2011 by hgpu

Statistical power modeling of GPU kernels using performance counters

Hitoshi Nagasaka, Naoya Maruyama, Akira Nukada, Toshio Endo, Satoshi Matsuoka

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Tags: Computer science, CUDA, Energy-efficient computing, nVidia, nVidia GeForce GTX 285

May 3, 2011 by hgpu

GPU implementation of motion estimation for visual saliency

Anis Rahman, Dominique Houzet, Denis Pellerin, Lionel Agud

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Tags: Computer science, Computer vision, CUDA, nVidia, nVidia GeForce GTX 285, Optical flow

April 29, 2011 by hgpu

Pretty Good Accuracy in Matrix Multiplication with GPUs

Matthew Badin, Lubomir Bic, Michael Dillencourt, Alexandru Nicolau

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Tags: Computer science, CUDA, Linear Algebra, Matrix multiplication, nVidia, nVidia GeForce GTX 285

April 21, 2011 by hgpu

Single-Chip Heterogeneous Computing: Does the Future Include Custom Logic, FPGAs, and GPGPUs?

Eric S. Chung, Peter A. Milder, James C. Hoe, Ken Mai

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Tags: ASIC, ATI, ATI CAL, ATI Radeon HD 5870, Computer science, CUDA, FPGA, Heterogeneous systems, nVidia, nVidia GeForce GTX 285, nVidia GeForce GTX 480, Performance

April 19, 2011 by hgpu

A pseudospectral matrix method for time-dependent tensor fields on a spherical shell

Bernd Bruegmann

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Tags: Computational Physics, CUBLAS, CUDA, FFT, General Relativity and Quantum Cosmology, nVidia, nVidia GeForce GTX 285, nVidia GeForce GTX 480, nVidia GeForce GTX 580, Physics, Tesla C2050, Tesla M2070

April 19, 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

Implementation of 3D Monte Carlo PET reconstruction algorithm on GPU

GPU implementation of 3D object selection by conic volume techniques in virtual environments

GPU-PRISM: An Extension of PRISM for General Purpose Graphics Processing Units

Parallel compact roadmap construction of 3D virtual environments on the GPU

GPU Acceleration of Multilevel Solvers for Analysis of Microwave Components With Finite Element Method

GPU accelerated elliptic curve cryptography in GF(2m)

Efficient nearest-neighbor computation for GPU-based motion planning

Statistical power modeling of GPU kernels using performance counters

GPU implementation of motion estimation for visual saliency

Pretty Good Accuracy in Matrix Multiplication with GPUs

Single-Chip Heterogeneous Computing: Does the Future Include Custom Logic, FPGAs, and GPGPUs?

A pseudospectral matrix method for time-dependent tensor fields on a spherical shell

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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