high performance computing on graphics processing units: hgpu.org

hgpu.org » ATI Radeon HD 5750

A Haptic Device Interface for Medical Simulations using OpenCL

Mattias Machwirth

View

Tags: Algorithms, ATI, ATI Radeon HD 5750, ATI Radeon HD 7610 M, ATI Radeon HD 7970, Medicine, OpenCL, Thesis, Ultrasound, Visualization

August 14, 2013 by hgpu

Resolution of the Vlasov-Maxwell system by PIC Discontinuous Galerkin method on GPU with OpenCL

Anais Crestetto, Philippe Helluy

View

Download (PDF)

Tags: ATI, ATI Radeon HD 5750, Electrodynamics, Maxwell's equations, nVidia, nVidia GeForce GTX 470, OpenCL, Particle-in-cell methods

September 24, 2012 by hgpu

Analysis of GPGPU Platforms Efficiency in General-Purpose Computations

Pavel Kartashev, Vladislavs Nazaruk

View

Download (PDF)

Tags: ATI, ATI Radeon HD 5750, Benchmarking, Computer science, nVidia, nVidia GeForce GT 240, OpenCL, Performance

December 20, 2011 by hgpu

Particle-based Visualization of Large Cosmological Datasets

Niko Lukac

View

Download (PDF)

Tags: ATI, ATI Radeon HD 5750, Computer science, Cosmology, OpenGL, Rendering, Visualization

November 18, 2011 by hgpu

Auto-tunable GPU BLAS

Jarle Erdal Steinsland

View

Download (PDF)

Tags: Algorithms, ATI, ATI Radeon HD 5750, ATI Radeon HD 5870, BLAS, Computer science, Heterogeneous systems, Linear Algebra, Matrix multiplication, nVidia, OpenCL, Optimization, Tesla C2070, Thesis

November 18, 2011 by hgpu

A Hybrid Software Framework for the GPU Acceleration of Multi-Threaded Monte Carlo Applications

Joo Hong Lee, Mark T. Jones, Paul E. Plassmann

View

Download (PDF)

Tags: ATI, ATI Radeon HD 5750, Computer science, Monte Carlo simulation, OpenCL, Pseudo-random number generators

October 24, 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

* * *

high performance computing on graphics processing units: hgpu.org

A Haptic Device Interface for Medical Simulations using OpenCL

Resolution of the Vlasov-Maxwell system by PIC Discontinuous Galerkin method on GPU with OpenCL

Analysis of GPGPU Platforms Efficiency in General-Purpose Computations

Particle-based Visualization of Large Cosmological Datasets

Auto-tunable GPU BLAS

A Hybrid Software Framework for the GPU Acceleration of Multi-Threaded Monte Carlo Applications

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

Most viewed papers (last 30 days)