high performance computing on graphics processing units: hgpu.org

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Architecture-Aware Mapping and Optimization on a 1600-Core GPU

Mayank Daga, Thomas Scogland, Wu-chun Feng

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Tags: ATI, ATI Radeon HD 5870, Computer science, CUDA, Molecular modeling, nVidia, nVidia GeForce GTX 280, OpenCL, Optimization, Performance

January 3, 2012 by hgpu

LatticeQCD using OpenCL

Matthias Bach, Owe Philipsen, Christopher Pinke, Christian Schafer, Lars Zeidlewicz

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Tags: ATI, ATI Radeon HD 5870, High Energy Physics - Lattice, nVidia, OpenCL, Physics, QCD, Tesla S2050

December 23, 2011 by hgpu

Implementation of a Parallel Tree Method on a GPU

Naohito Nakasato

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Tags: Astrophysics, ATI, ATI IL, ATI Radeon HD 5870, Computational Complexity, Computer science, Galaxy Astrophysics, Instrumentation and Methods for Astrophysics, KD-tree, OpenCL, Optimization, Performance

December 21, 2011 by hgpu

Symbolic Differentiation in GPU Shaders

Brian Guenter, John Rapp, Mark Finch

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Tags: Algorithms, ATI, ATI Radeon HD 5870, Computer science, DirectX, HLSL, Symbolic Computation

November 26, 2011 by hgpu

Automated architecture-aware mapping of streaming applications onto GPUs

Andrei Hagiescu, Huynh Phung Huynh, Weng-Fai Wong, Rick Siow Mong Goh

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Tags: ATI, ATI Radeon HD 5870, Computer science, CUDA, nVidia, nVidia GeForce 8800 GTX, OpenCL, Performance, Task scheduling, Tesla S1070, Tesla S2050

November 23, 2011 by hgpu

Dynamic Heterogeneous Scheduling Decisions Using Historical Runtime Data

Chris Gregg, Michael Boyer, Kim Hazelwood, Kevin Skadron

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Tags: ATI, ATI Radeon HD 5870, Computer science, Heterogeneous systems, OpenCL, Performance, Task scheduling

November 22, 2011 by hgpu

StreamMR: An Optimized MapReduce Framework for AMD GPUs

Marwa Elteir, Heshan Lin, Wu-chun Feng, Tom Scogland

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Tags: Algorithms, ATI, ATI Radeon HD 5870, Computer science, MapReduce, OpenCL

November 19, 2011 by hgpu

Accelerating The Cloud with Heterogeneous Computing

Sahil Suneja, Elliott Baron, Eyal de Lara, Ryan Johnson

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Tags: ATI, ATI Radeon HD 5870, Cloud, Computer science, Hashing, Heterogeneous systems, nVidia, nVidia GeForce GTX 280, OpenCL

November 18, 2011 by hgpu

Auto-tunable GPU BLAS

Jarle Erdal Steinsland

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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

The Multi2Sim Simulation Framework: A CPU-GPU Model for Heterogeneous Computing

Rafael Ubal, Julio Sahuquillo, Salvador Petit, Pedro Lopez, Zhongliang Chen, David R. Kaeli

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Source codes

Tags: ATI, ATI Radeon HD 5870, Computer science, Heterogeneous systems, OpenCL, Operating systems, Package

November 18, 2011 by hgpu

Neon: A Domain-Specific Programming Language for Image Processing

Brian Guenter, Diego Nehab

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Tags: ATI, ATI Radeon HD 4850, ATI Radeon HD 5870, Code generation, DirectX, High-level Languages, HLSL, Image processing, nVidia, nVidia GeForce GTX 470, Pixel shaders

November 18, 2011 by hgpu

Synthetic Aperture Beamformation using the GPU

Jens Munk Hansen, Dana Schaa, Jorgen Arendt Jensen

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Tags: ATI, ATI Radeon HD 5870, nVidia, nVidia GeForce GTX 285, nVidia GeForce GTX 480, nVidia GeForce GTX 580, OpenCL, Signal processing, Ultrasound

November 11, 2011 by hgpu

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

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

Optical flow algorithms for SYCL

SYCL in the edge: performance and energy evaluation for heterogeneous acceleration

OpenMP5-Offload-OpenMC-Intel-PVC

Distributed OpenMP Offloading of OpenMC on Intel GPU MAX Accelerators

See all packages

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high performance computing on graphics processing units: hgpu.org

Architecture-Aware Mapping and Optimization on a 1600-Core GPU

LatticeQCD using OpenCL

Implementation of a Parallel Tree Method on a GPU

Symbolic Differentiation in GPU Shaders

Automated architecture-aware mapping of streaming applications onto GPUs

Dynamic Heterogeneous Scheduling Decisions Using Historical Runtime Data

StreamMR: An Optimized MapReduce Framework for AMD GPUs

Auto-tunable GPU BLAS

The Multi2Sim Simulation Framework: A CPU-GPU Model for Heterogeneous Computing

Neon: A Domain-Specific Programming Language for Image Processing

Synthetic Aperture Beamformation using the GPU

Recent source codes

QArray

Celerity: High-level C++ for Accelerator Clusters

CIFAR-10 Airbench: 94% on CIFAR-10 in 3.29 second

gpu_tracker: Context manager and CLI that tracks the computational-resource-usage of a code block or shell command, particularly the GPU usage

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

Optical flow algorithms for SYCL

OpenMP5-Offload-OpenMC-Intel-PVC

Most viewed papers (last 30 days)