ATI | Page 65 | hgpu.org

hgpu.org » ATI

CBench: Analyzing Compute Performance for Modern NVIDIA and AMD GPUs

Varun Sampath

View

Download (PDF)

Source codes

Tags: Algorithms, ATI, ATI Radeon HD 6870, Benchmarking, Computer science, CUDA, nVidia, OpenCL, Package, Tesla C2070

September 30, 2011 by hgpu

Accelerating Foreign-Key Joins using Asymmetric Memory Channels

Holger Pirk, Stefan Manegold, Martin Kersten

View

Download (PDF)

Tags: ATI, ATI Radeon HD 5850, Computer science, Databases, nVidia, nVidia GeForce GTX 480, OpenCL

September 30, 2011 by hgpu

A Polyphase Filter For GPUs And Multi-Core Processors

Karel van der Veldt

View

Download (PDF)

Tags: Astrophysics, ATI, ATI Radeon HD 5870, FFT, nVidia, nVidia GeForce GTX 480, OpenCL, Signal processing, Thesis

September 30, 2011 by hgpu

Highly Scalable Multi Objective Test Suite Minimisation Using Graphics Cards

Shin Yoo, Mark Harman, Shmuel Ur

View

Download (PDF)

Tags: Algorithms, ATI, ATI Radeon HD 4850, Benchmarking, Computer science, OpenCL, Optimization, Software Engineering

September 28, 2011 by hgpu

Spark: modular, composable shaders for graphics hardware

Tim Foley, Pat Hanrahan

View

Download (PDF)

Tags: 3D Graphics and Realism, ATI, ATI Radeon HD 5870, Computer science, DirectX, HLSL, Performance

September 28, 2011 by hgpu

Intelligent GPGPU Classification in Volume Visualization: A framework based on Error-Correcting Output Codes

S. Escalera, A. Puig, O. Amoros, M. Salamo

View

Download (PDF)

Tags: Algorithms, ATI, Computer science, Machine learning, nVidia, nVidia GeForce GTX 470, OpenCL, Rendering, Visualization

September 27, 2011 by hgpu

GPU Accelerated Computation of the ICON Model

Christian Conti, William Sawyer

View

Download (PDF)

Tags: ATI, ATI Radeon HD 6990, Earth and Space Sciences, nVidia, nVidia GeForce GTX 285, OpenCL, Tesla M2050, Tesla S1070, Weather prediction

September 27, 2011 by hgpu

Generating GPU Code from a High-level Representation for Image Processing Kernels

Richard Membarth, Anton Lokhmotov, Jurgen Teich

View

Download (PDF)

Tags: ATI, ATI Radeon HD 5870, Code generation, Compilers, CUDA, Image processing, nVidia, nVidia GeForce GTX 280, nVidia Quadro FX 5800, OpenCL, Optimization, Tesla C2050

September 26, 2011 by hgpu

From CUDA to OpenCL: Towards a Performance-portable Solution for Multi-platform GPU Programming

Peng Du, Rick Weber, Piotr Luszczek, Stanimire Tomov, Gregory Peterson, Jack Dongarra

View

Download (PDF)

Tags: ATI, ATI Radeon HD 5870, Computer science, CUDA, Linear Algebra, Matrix multiplication, nVidia, OpenCL, Optimization, Performance, Tesla C2050

September 26, 2011 by hgpu

GPGPU workload analysis and media performance studies

Ashwini Simha

View

Download (PDF)

Tags: ATI, Benchmarking, Computer science, OpenCL, Performance, Thesis

September 25, 2011 by hgpu

A portable implementation of the radix sort algorithm in OpenCL

Philippe Helluy

View

Download (PDF)

Source codes

Tags: Algorithms, ATI, ATI Radeon HD 5850, nVidia, nVidia GeForce GTX 320 M, nVidia GeForce GTX 470, OpenCL, Package, Particle-in-cell methods, Physics, Plasma physics, Sorting

September 24, 2011 by hgpu

Automatic Translation of CUDA to OpenCL and Comparison of Performance Optimizations on GPUs

Deepthi Nandakumar

View

Download (PDF)

Tags: ATI, ATI Radeon HD 5870, Benchmarking, Code generation, Computer science, CUDA, Heterogeneous systems, nVidia, nVidia GeForce GTX 280, OpenCL, Optimization, Thesis

September 24, 2011 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

CBench: Analyzing Compute Performance for Modern NVIDIA and AMD GPUs

Accelerating Foreign-Key Joins using Asymmetric Memory Channels

A Polyphase Filter For GPUs And Multi-Core Processors

Highly Scalable Multi Objective Test Suite Minimisation Using Graphics Cards

Spark: modular, composable shaders for graphics hardware

Intelligent GPGPU Classification in Volume Visualization: A framework based on Error-Correcting Output Codes

GPU Accelerated Computation of the ICON Model

Generating GPU Code from a High-level Representation for Image Processing Kernels

From CUDA to OpenCL: Towards a Performance-portable Solution for Multi-platform GPU Programming

GPGPU workload analysis and media performance studies

A portable implementation of the radix sort algorithm in OpenCL

Automatic Translation of CUDA to OpenCL and Comparison of Performance Optimizations on GPUs

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)