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GPU packet classification using OpenCL: a consideration of viable classification methods

Alastair Nottingham, Barry Irwin

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Tags: Algorithms, Computer science, nVidia, OpenCL

October 28, 2010 by hgpu

An adaptive performance modeling tool for GPU architectures

Sara S. Baghsorkhi, Matthieu Delahaye, Sanjay J. Patel, William D. Gropp, Wen mei

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Tags: Analytical model, Computer science, CUDA, nVidia, nVidia GeForce 8800 GTX, Performance

October 28, 2010 by hgpu

An efficient implementation of Smith Waterman algorithm on GPU using CUDA, for massively parallel scanning of sequence databases

Lukasz Ligowski, Witold Rudnicki

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Tags: Bioinformatics, Biology, Computational biology, Computer science, CUDA, nVidia, nVidia GeForce 9800 GX2, Sequence alignment, Smith-Waterman algorithm

October 28, 2010 by hgpu

Acceleration technique for volume rendering using 2D texture based ray plane casting on GPU

Kyung-Seok Oh, Chang-Sung Jeong

Tags: Computer science, Raytracing, Rendering, Visualization

October 28, 2010 by hgpu

An efficient, model-based CPU-GPU heterogeneous FFT library

Y. Ogata, T. Endo, N. Maruyama, S. Matsuoka

Tags: Computer science, FFT

October 28, 2010 by hgpu

Visualization and GPU-accelerated simulation of medical ultrasound from CT images

Oliver Kutter, Ramtin Shams, Nassir Navab

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Tags: ATI, ATI Radeon 1950 PRO, Computer science, GLSL, Medicine, nVidia, nVidia Quadro FX 3600 M, nVidia Quadro FX 5600, OpenGL, Ultrasound, Visualization

October 28, 2010 by hgpu

GPU Ray Marching for Real-Time Rendering of Participating Media

Jeonghun Han, Hyunwoo Ki, Kyoungsu Oh

Tags: Computer science, Computer vision, Raytracing, Rendering, Visualization

October 28, 2010 by hgpu

Jump flooding in GPU with applications to Voronoi diagram and distance transform

Guodong Rong, Tiow S. Tan

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Tags: Computer science, Digital geometry, Interactive application, nVidia, nVidia GeForce 6800 GT, OpenGL, Visualization, Voronoi diagram

October 28, 2010 by hgpu

String Matching on a Multicore GPU Using CUDA

Charalampos S. Kouzinopoulos, Konstantinos G. Margaritis

Tags: Algorithms, Computer science, CUDA, nVidia, String matching

October 28, 2010 by hgpu

Compute Pairwise Manhattan Distance and Pearson Correlation Coefficient of Data Points with GPU

Dar J. Chang, Ahmed H. Desoky, Ming Ouyang, Eric C. Rouchka

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Tags: Computer science, CUDA, Hierarchical clustering, nVidia, Similarity and dissimilarity metrics, Tesla C870

October 28, 2010 by hgpu

Motion Compensation and Reconstruction of H.264/AVC Video Bitstreams using the GPU

Bart Pieters, Dieter Van Rijsselbergen, Wesley De Neve, Rik Van de Walle

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Tags: Computer science, CUDA, H.264/AVC, Motion compensation, nVidia, nVidia GeForce 6800 GT, nVidia GeForce 7800 GTX

October 28, 2010 by hgpu

GPU-based object-order ray-casting for large datasets

Wei Hong, Feng Qiu, A. Kaufman

Tags: Computer science, Raytracing, Rendering

October 28, 2010 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

Applications

GPU packet classification using OpenCL: a consideration of viable classification methods

An adaptive performance modeling tool for GPU architectures

An efficient implementation of Smith Waterman algorithm on GPU using CUDA, for massively parallel scanning of sequence databases

Acceleration technique for volume rendering using 2D texture based ray plane casting on GPU

An efficient, model-based CPU-GPU heterogeneous FFT library

Visualization and GPU-accelerated simulation of medical ultrasound from CT images

GPU Ray Marching for Real-Time Rendering of Participating Media

Jump flooding in GPU with applications to Voronoi diagram and distance transform

String Matching on a Multicore GPU Using CUDA

Compute Pairwise Manhattan Distance and Pearson Correlation Coefficient of Data Points with GPU

Motion Compensation and Reconstruction of H.264/AVC Video Bitstreams using the GPU

GPU-based object-order ray-casting for large datasets

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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