high performance computing on graphics processing units: hgpu.org

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Partial wave analysis at BES III harnessing the power of GPUs

Niklaus Berger

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Tags: ATI Radeon HD 4870, Brook, High Energy Physics - Experiment, nVidia, OpenCL, Physics, Statistics and Probability

August 31, 2011 by hgpu

Partial Wave Analysis using Graphics Cards

Niklaus Berger

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Tags: High Energy Physics - Experiment, nVidia, OpenCL, Physics, Statistics and Probability

August 31, 2011 by hgpu

Parallel computation of spherical parameterizations for mesh analysis

Theodoros Athanasiadis, Ioannis Fudos

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Tags: 3D Graphics and Realism, Algorithms, Computer science, nVidia, nVidia GeForce GTX 480, OpenCL, Package

August 24, 2011 by hgpu

Efficient implementation of GPGPU synchronization primitives on CPUs

Jayanth Gummaraju, Ben Sander, Laurent Morichetti, Benedict Gaster, Lee Howes

Tags: Computer science, OpenCL, Performance, Programming techniques

August 23, 2011 by hgpu

Top ten ways to make formal methods for HPC practical

Ganesh Gopalakrishnan, Robert M. Kirby

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Tags: Computer science, CUDA, MPI, nVidia, OpenCL, OpenMP, Performance

August 22, 2011 by hgpu

Improving programmability of heterogeneous many-core systems via explicit platform descriptions

Martin Sandrieser, Siegfried Benkner, Sabri Pllana

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Tags: Code generation, Computer science, CUDA, Heterogeneous systems, nVidia, nVidia GeForce GTX 285, nVidia GeForce GTX 480, OpenCL, OpenMP, Presentation

August 22, 2011 by hgpu

Compiling Python to a hybrid execution environment

Rahul Garg, Jose Nelson Amaral

Tags: ATI, ATI CAL, BLAS, Compilers, Computer science, OpenCL, Python

August 21, 2011 by hgpu

A declarative API for particle systems

Pavel Krajcevski, John Reppy

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Tags: 3D Graphics and Realism, Computer science, GLSL, OpenCL

August 21, 2011 by hgpu

Software architecture and system validation of an open, unified model for accelerated multicore computing

C. H. Crawford, D. J. Burdick, J. N. Dale, E. F. Ford, R. A. Mikosh, A. Nobles, V. To

Tags: Computer science, Heterogeneous systems, OpenCL

August 21, 2011 by hgpu

Mind the gap!: bridging the dichotomy of design and implementation

Donna Kaminskyj Long, Liam Kiemele, Celina Gibbs, Andrew Brownsword, Yvonne Coady

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Tags: Computer science, Linear Algebra, OpenCL, Performance, Presentation, Programming techniques

August 21, 2011 by hgpu

EpiGPU

Gibran Hemani, Athanasios Theocharidis, Wenhua Wei, Chris Haley

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Tags: ATI, Biology, Genetics, nVidia, OpenCL

August 21, 2011 by hgpu

Visual Computing in Biology and Medicine: Interactive visual analysis of contrast-enhanced ultrasound data based on small neighborhood statistics

Paolo Angelelli, Kim Nylund, Odd Helge Gilja, Helwig Hauser

Tags: Biology, Medicine, OpenCL, Ultrasound, Visualization

August 21, 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

Partial wave analysis at BES III harnessing the power of GPUs

Partial Wave Analysis using Graphics Cards

Parallel computation of spherical parameterizations for mesh analysis

Efficient implementation of GPGPU synchronization primitives on CPUs

Top ten ways to make formal methods for HPC practical

Improving programmability of heterogeneous many-core systems via explicit platform descriptions

Compiling Python to a hybrid execution environment

A declarative API for particle systems

Software architecture and system validation of an open, unified model for accelerated multicore computing

Mind the gap!: bridging the dichotomy of design and implementation

EpiGPU

Visual Computing in Biology and Medicine: Interactive visual analysis of contrast-enhanced ultrasound data based on small neighborhood statistics

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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