high performance computing on graphics processing units: hgpu.org

Xavier Andrade, Joseba Alberdi-Rodriguez, David A. Strubbe, Micael J. T. Oliveira, Fernando Nogueira, Alberto Castro, Javier Muguerza, Agustin Arruabarrena, Steven G. Louie, Alan Aspuru-Guzik, Angel Rubio, Miguel A. L. Marques

View

Download (PDF)

Source codes

Tags: ATI, ATI Radeon HD 5870, Data parallelism, Density-functional theory, nVidia, nVidia GeForce GTX 480, OpenCL, Optimization, Package, Physics, Tesla M2090

May 29, 2012 by hgpu

Medical Image Registration using OpenCL

Sachitsing Dwarkan

View

Download (PDF)

Tags: Algorithms, ATI, ATI Radeon HD 5870, ATI Radeon HD 6750 M, Image processing, Image registration, Medicine, OpenCL, Software Engineering, Thesis

May 23, 2012 by hgpu

SPOC: GPGPU Programming Through Stream Processing With OCaml

Mathias Bourgoin, Emmanuel Chailloux, Jean-Luc Lamotte

View

Download (PDF)

Source codes

Tags: ATI, ATI Radeon HD 6950, Computer science, CUDA, nVidia, OpenCL, Package, Tesla C2070

May 19, 2012 by hgpu

CuPBoP-AMD: Extending CUDA to AMD Platforms

CuPBoP: Making CUDA a Portable Language

Adopter: Automated Deep Learning Optimization via DSL-based Source Code Transformation

Automated Deep Learning Optimization via DSL-Based Source Code Transformation

ROCm's implementation of Gromacs

GROMACS on AMD GPU-Based HPC Platforms: Using SYCL for Performance and Portability

Code examples for paper on SYCL backend of Kokkos - IWOCL 2024

Experiences with implementing Kokkos’ SYCL backend

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

See all packages

* * *

high performance computing on graphics processing units: hgpu.org

A Consumer Application for GPGPUs: Desktop Search

Sparse LU Factorization for Parallel Circuit Simulation on GPU

Astrophysical Particle Simulations on Heterogeneous CPU-GPU Systems

The Tradeoffs of Fused Memory Hierarchies in Heterogeneous Computing Architectures

Relativistic Hydrodynamics on Graphic Cards

Shortening design time through multiplatform simulations with a portable OpenCL golden-model: the LDPC decoder case

High Accuracy Gravitational Waveforms from Black Hole Binary Inspirals Using OpenCL

Generating Device-specific GPU code for Local Operators in Medical Imaging

clSpMV: A Cross-Platform OpenCL SpMV Framework on GPUs

Time-dependent density-functional theory in massively parallel computer architectures: the OCTOPUS project

Medical Image Registration using OpenCL

SPOC: GPGPU Programming Through Stream Processing With OCaml

Recent source codes

CuPBoP-AMD: Extending CUDA to AMD Platforms

Adopter: Automated Deep Learning Optimization via DSL-based Source Code Transformation

ROCm's implementation of Gromacs

Code examples for paper on SYCL backend of Kokkos - IWOCL 2024

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

Most viewed papers (last 30 days)