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Scalable Verification Techniques for Data-Parallel Programs

Nathan Yong Seng Chong

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Tags: ARM, Benchmarking, Computer science, CUDA, nVidia, nVidia GeForce GTX 570, OpenCL, Package, Tesla M2050, Thesis

November 25, 2014 by hgpu

A GPU-based framework for efficient image processing

Per Karlsson

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Tags: CUDA, GLSL, Image processing, nVidia, nVidia GeForce GTX 760, OpenCL, OpenGL, Python, Thesis

November 20, 2014 by hgpu

Automatic Performance Tuning of Pipeline Patterns for Heterogeneous Parallel Architectures

E. Bajrovic, S. Benkner

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Tags: Computer science, Heterogeneous systems, nVidia, OpenCL, OpenCV, Performance, Tesla C2050, Tesla K20

November 20, 2014 by hgpu

CL2QCD – Lattice QCD based on OpenCL

Owe Philipsen, Christopher Pinke, Alessandro Sciarra, Matthias Bach

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Tags: AMD FirePro S10000, ATI, ATI Radeon HD 5870, ATI Radeon HD 7970, High Energy Physics - Lattice, nVidia, nVidia GeForce GTX 680, OpenCL, Package, Physics, QCD, Tesla K40

November 20, 2014 by hgpu

Using Graphics Processing Units to solve the classical N-body problem in physics and astrophysics

Mario Spera

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Tags: Astrophysics, CUDA, Electrodynamics, Instrumentation and Methods for Astrophysics, N-body simulation, nVidia, nVidia GeForce GTX Titan, OpenCL, Package, QCD

November 20, 2014 by hgpu

Processing Hard Sphere Collisions on a GPU Using OpenCL

Zachary Langbert, Mark C. Lewis

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Tags: ATI, ATI Radeon HD 7970, Collision detection, Computer science, nVidia, nVidia GeForce GTX 670, OpenCL

November 18, 2014 by hgpu

Glider: A GPU Library Driver for Improved System Security

Ardalan Amiri Sani, Lin Zhong, Dan S. Wallach

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Tags: ATI, ATI Radeon HD 6450, Computer science, OpenCL, OpenGL, Operating systems, Security

November 18, 2014 by hgpu

Mobile GPGPU Acceleration of Embodied Robot Simulation

Simon Jones, Matthew Studley, Alan Winfield

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Tags: Computer science, OpenCL, Package, Robotics

November 16, 2014 by hgpu

Ray Reordering Techniques for GPU Ray-Cast Ambient Occlusion

Vasco Costa, Joao M. Pereira, Joaquim A. Jorge

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Tags: 3D Graphics and Realism, Computer science, nVidia, nVidia GeForce GTX Titan, OpenCL, Rendering

November 16, 2014 by hgpu

Semi-Analytic Solutions to the Radiative Transfer Equations via Hetergeneous Computing

Daniel Alphin Holladay

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Tags: Astrophysics, Heterogeneous systems, nVidia, OpenCL, Physics, Tesla C2050, Tesla C2075, Thesis

November 13, 2014 by hgpu

Brute force de-shredding algorithm using the GPU

Simon Naude

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Tags: Algorithms, ATI, ATI Radeon HD 7850, ATI Radeon HD 7970, Computer science, OpenCL, Thesis

November 12, 2014 by hgpu

An Execution Model for OpenCL 2.0

Benedict R. Gaster

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Tags: Computer science, OpenCL, Overview

November 9, 2014 by hgpu

CFAL-bench

Comparing Parallel Functional Array Languages: Programming and Performance

Efficient Graph Embedding at Scale: Optimizing CPU-GPU-SSD Integration

Can Large Language Models Predict Parallel Code Performance?

Data-efficient LLM Fine-tuning for Code Generation

DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.

DeepCompile: A Compiler-Driven Approach to Optimizing Distributed Deep Learning Training

Large Language Model Powered C-to-CUDA Code Translation: A Novel Auto-Parallelization Framework

See all packages

* * *

high performance computing on graphics processing units: hgpu.org

Scalable Verification Techniques for Data-Parallel Programs

A GPU-based framework for efficient image processing

Automatic Performance Tuning of Pipeline Patterns for Heterogeneous Parallel Architectures

CL2QCD – Lattice QCD based on OpenCL

Using Graphics Processing Units to solve the classical N-body problem in physics and astrophysics

Processing Hard Sphere Collisions on a GPU Using OpenCL

Glider: A GPU Library Driver for Improved System Security

Mobile GPGPU Acceleration of Embodied Robot Simulation

Ray Reordering Techniques for GPU Ray-Cast Ambient Occlusion

Semi-Analytic Solutions to the Radiative Transfer Equations via Hetergeneous Computing

Brute force de-shredding algorithm using the GPU

An Execution Model for OpenCL 2.0

Recent source codes

CFAL-bench

Efficient Graph Embedding at Scale: Optimizing CPU-GPU-SSD Integration

Can Large Language Models Predict Parallel Code Performance?

PELSI: Power-Efficient Layer-Switched Inference

Ouroboros: Virtualized Queues for dynamic memory management

MSCCL++: A GPU-driven communication stack for scalable AI applications

Benchmark compute shader of Unity against InteropUnityCUDA

Data-efficient LLM Fine-tuning for Code Generation

DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.

Large Language Model Powered C-to-CUDA Code Translation: A Novel Auto-Parallelization Framework

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