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GPU-Accelerated Point-Based Color Bleeding

Ryan Daniel Schmitt

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Tags: Algorithms, ATI, ATI Radeon HD 5970, Computer science, Heterogeneous systems, OpenGL, Rasterization, Thesis

July 20, 2012 by hgpu

Distributed OpenCL: a platform for distributed, heterogeneous computing for domain scientists

William H. Dillon (William Hall)

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Tags: ATI, ATI Radeon HD 4870, Computer science, Distributed computing, Heterogeneous systems, nVidia, nVidia GeForce GTX 285, OpenCL

July 16, 2012 by hgpu

Implementing a Code Generator for Fast Matrix Multiplication in OpenCL on the GPU

Kazuya Matsumoto, Naohito Nakasato, Stanislav G. Sedukhin

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Tags: ATI, ATI Radeon HD 7970, Code generation, Computer science, Matrix multiplication, OpenCL

July 15, 2012 by hgpu

Distributed OpenCL Distributing OpenCL Platform on Network Scale

Baris Eskikaya, D Turgay Altilar

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Tags: ATI, ATI Radeon HD 6370 M, Computer science, Distributed computing, GPU cluster, nVidia, nVidia GeForce GT 240 M, nVidia GeForce GT 520 M, nVidia GeForce GT 525 M, nVidia GeForce GTX 540 M, nVidia GeForce GTX 555 M, OpenCL

July 15, 2012 by hgpu

A fully parallel, high precision, N-body code running on hybrid computing platforms

R. Capuzzo-Dolcetta, M. Spera, D. Punzo

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Source codes

Tags: Astrophysics, ATI, ATI Radeon HD 6970, ATI Radeon HD 7970, Computational Physics, Gravitation, Hybrid computing, Instrumentation and Methods for Astrophysics, MPI, N-body simulation, nVidia, OpenCL, Package, Tesla M2070

July 11, 2012 by hgpu

Fast GPU Garment Simulation and Collision Detection

Tzvetomir I. Vassilev, Bernhard Spanlang

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Tags: Algorithms, ATI, ATI Radeon HD 4850, Collision detection, Computer science, GLSL, nVidia, nVidia GeForce GTX 460, nVidia GeForce GTX 560 M, OpenGL

July 8, 2012 by hgpu

Utilizing GPGPU in Computer Emulation

Peter Jakubco, Slavomir Simonak

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Tags: ATI, ATI Radeon HD 6570, Computer science, OpenCL, Package

July 8, 2012 by hgpu

An Optimized Large-Scale Hybrid DGEMM Design for CPUs and ATI GPUs

Jiajia Li, Xingjian Li, Guangming Tan, Mingyu Chen, Ninghui Sun

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Tags: Algorithms, ATI, ATI CAL, ATI Radeon HD 5970, ATI Stream, Computer science, Heterogeneous systems, Matrix multiplication, Optimization, Package

June 29, 2012 by hgpu

Compiling a high-level language for GPUs: (via language support for architectures and compilers)

Christophe Dubach, Perry Cheng, Rodric Rabbah, David F. Bacon, Stephen J. Fink

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Tags: ATI, ATI Radeon HD 5970, Compilers, Computer science, CUDA, Heterogeneous systems, Java, nVidia, nVidia GeForce 8800 GTX, nVidia GeForce GTX 580, OpenCL, Programming Languages

June 26, 2012 by hgpu

Evaluation of likelihood functions on CPU and GPU devices

Sverre Jarp, Alfio Lazzaro, Julien Leduc, Andrzej Nowak, Yngve Sneen Lindal

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Tags: ATI, ATI Radeon HD 5870, Data acquisition, nVidia, nVidia GeForce GTX 470, OpenCL, Physics

June 26, 2012 by hgpu

Bacon: A GPU Programming System With Just in Time Specialization

Nat Tuck

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Tags: ATI, ATI Radeon HD 5830, Benchmarking, Computer science, Matrix multiplication, OpenCL

June 23, 2012 by hgpu

An Investigation into Concurrent Expectation Propagation

David Hall, Alex Kantchelian

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Tags: Algorithms, ATI, ATI Radeon HD 6490 M, Computer science, Machine learning, OpenCL, Physics

June 20, 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

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high performance computing on graphics processing units: hgpu.org

GPU-Accelerated Point-Based Color Bleeding

Distributed OpenCL: a platform for distributed, heterogeneous computing for domain scientists

Implementing a Code Generator for Fast Matrix Multiplication in OpenCL on the GPU

Distributed OpenCL Distributing OpenCL Platform on Network Scale

A fully parallel, high precision, N-body code running on hybrid computing platforms

Fast GPU Garment Simulation and Collision Detection

Utilizing GPGPU in Computer Emulation

An Optimized Large-Scale Hybrid DGEMM Design for CPUs and ATI GPUs

Compiling a high-level language for GPUs: (via language support for architectures and compilers)

Evaluation of likelihood functions on CPU and GPU devices

Bacon: A GPU Programming System With Just in Time Specialization

An Investigation into Concurrent Expectation Propagation

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

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