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Single Scattering of Aspherical Particles in DDA Calculations on GPUs Using OpenCL

Marcus Huntemann, Georg Heygster, Gang Hong

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Tags: Earth and Space Sciences, nVidia, nVidia GeForce GTX 260, OpenCL, Sensing, Weather prediction

September 24, 2011 by hgpu

Dynamic Data Structures for Taskgraph Scheduling Policies with Applications in OpenCL Accelerators

Jakub Marecek, Andrew J. Parkes, Edmund K. Burke, Robert Elliot, Hedley Francis, Anton Lokhmotov

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Tags: Computer science, Data Structures and Algorithms, OpenCL, Task scheduling

September 24, 2011 by hgpu

CU2CL: A CUDA-to-OpenCL Translator for Multi-and Many-core Architectures

Gabriel Martinez, Wu-chun Feng, Mark Gardner

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

September 24, 2011 by hgpu

An MDE Approach for Automatic Code Generation from MARTE to OpenCL

Antonio Wendell De Oliveira Rodrigues, Frederic Guyomarc'H, Jean-Luc Dekeyser

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Tags: Code generation, Computer science, Heterogeneous systems, nVidia, nVidia GeForce GTX 285, OpenCL

September 24, 2011 by hgpu

Integrated Framework for Heterogeneous Embedded Platforms Using OpenCL

Kulin V. Seth

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Tags: Benchmarking, Computer science, DSP, Embedded high-performance computing, Heterogeneous systems, OpenCL, Optimization, Thesis

September 23, 2011 by hgpu

Embedding OpenCL in C++ for Expressive GPU Programming

Orion Lawlor

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Tags: ATI, ATI Radeon HD 6850, Benchmarking, Code generation, Computer science, GLSL, nVidia, nVidia GeForce GTX 280, nVidia GeForce GTX 460 M, nVidia GeForce GTX 580, OpenCL, OpenGL, Package

September 23, 2011 by hgpu

NIMBLE: a toolkit for the implementation of parallel data mining and machine learning algorithms on mapreduce

Amol Ghoting, Prabhanjan Kambadur, Edwin Pednault, Ramakrishnan Kannan

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Tags: Algorithms, Computer science, Data mining, Machine learning, MapReduce, MPI, OpenCL, Performance, Software Engineering

September 16, 2011 by hgpu

Programmable and Scalable Architecture for Graphics Processing Units

Carlos S. de La Lama, Pekka Jaaskelainen, Jarmo Takala

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Tags: Computer science, GLSL, nVidia, nVidia GeForce 9400 M, OpenCL, OpenGL, Performance, Programming techniques

September 16, 2011 by hgpu

Anomalous behaviour detection using spatiotemporal oriented energies, subset inclusion histogram comparison and event-driven processing

Andrei Zaharescu, Richard Wildes

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Tags: Computer science, Computer vision, nVidia, nVidia GeForce GTX 280, OpenCL

September 14, 2011 by hgpu

A scripting language for Digital Content Creation applications

Mohammed Yousef, Ahmed Hashem, Hassan Saad, Amr Gamal, Osama Galal, Khaled F. Hussain

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Tags: 3D Graphics and Realism, Computer science, GLSL, High-level Languages, nVidia, OpenCL

September 12, 2011 by hgpu

Simulating vehicle kinematics with SimVis3D and Newton

Jens Wettach, Daniel Schmidt, Karsten Berns

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Tags: 3D Graphics and Realism, Computer science, OpenCL, Package, Physics-based simulation, Sensing

September 12, 2011 by hgpu

Collision-streams: fast GPU-based collision detection for deformable models

Min Tang, Dinesh Manocha, Jiang Lin, Ruofeng Tong

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Tags: Algorithms, ATI, ATI Radeon HD 5870, Collision detection, Computer science, CUDA, nVidia, nVidia GeForce GTX 285, nVidia GeForce GTX 480, OpenCL

September 11, 2011 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

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high performance computing on graphics processing units: hgpu.org

Single Scattering of Aspherical Particles in DDA Calculations on GPUs Using OpenCL

Dynamic Data Structures for Taskgraph Scheduling Policies with Applications in OpenCL Accelerators

CU2CL: A CUDA-to-OpenCL Translator for Multi-and Many-core Architectures

An MDE Approach for Automatic Code Generation from MARTE to OpenCL

Integrated Framework for Heterogeneous Embedded Platforms Using OpenCL

Embedding OpenCL in C++ for Expressive GPU Programming

NIMBLE: a toolkit for the implementation of parallel data mining and machine learning algorithms on mapreduce

Programmable and Scalable Architecture for Graphics Processing Units

Anomalous behaviour detection using spatiotemporal oriented energies, subset inclusion histogram comparison and event-driven processing

A scripting language for Digital Content Creation applications

Simulating vehicle kinematics with SimVis3D and Newton

Collision-streams: fast GPU-based collision detection for deformable models

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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