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The GeForce 6800

J. Montrym, H. Moreton

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Tags: Computer science, Hardware Architecture, nVidia, nVidia GeForce 6800, Rendering

July 11, 2011 by hgpu

Implementation of large-scale FIR adaptive filters on NVIDIA GeForce graphics processing unit

Akihiro Hirano, Kenji Nakayama

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Tags: Computer science, CUDA, Filtering, nVidia, nVidia GeForce 8800 GTS, nVidia GeForce 9400 M

July 11, 2011 by hgpu

The computer graphics wars heat up

Michael Macedonia

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Tags: ATI, Computer science, nVidia, Review

July 11, 2011 by hgpu

Accelerating Lossless Data Compression with GPUs

R. L. Cloud, M. L. Curry, H. L. Ward, A. Skjellum, P. Bangalore

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Tags: Algorithms, Compression, Computer science, CUDA, nVidia, nVidia GeForce GTX 285, Performance

July 11, 2011 by hgpu

Testing Tesla architecture for scientific computing: The performance of matrix-vector product

Pawel Maciol, Krzysztof Banas

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Tags: Computer science, CUDA, Linear Algebra, Matrix multiplication, nVidia, nVidia GeForce 8800 GTX, Performance, Tesla C870

July 10, 2011 by hgpu

Many-core parallel computing – Can compilers and tools do the heavy lifting?

W.-m.W. Hwu

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Tags: Compilers, Computer science, CUDA, Image processing, nVidia, Presentation, Review

July 10, 2011 by hgpu

Study on acceleration technique for calculating near field of horn antenna based on GPU

Xiang Su, Zhensen Wu, Zanqin Jiang, Xiaobing Wang

Tags: CUDA, Electrodynamics, Microwave engineering, nVidia

July 10, 2011 by hgpu

Implementation of stereophonic acoustic echo canceller on nVIDIA GeForce graphics processing unit

A. Hirano, K. Nakayama

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Tags: Acoustics, CUDA, nVidia, nVidia GeForce 8800 GTS, Signal processing

July 10, 2011 by hgpu

Implementation of usual computerized tomography methods on GPU using the Compute Unified Device Architecture (CUDA)

Benoit Recur, Pascal Desbarats, Jean-Philippe Domenger

Tags: CUDA, Image processing, Medicine, nVidia, Tomography

July 9, 2011 by hgpu

GPU implementation of volume reconstruction and object detection in Digital Holographic Microscopy

Laszlo Orzo, Zoltan Gorocs, Istvan Szatmari, Szabolcs Tokes

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Tags: Computer holography, CUDA, Microscopy, nVidia, nVidia GeForce 8800 GTX, Optics, Physics

July 9, 2011 by hgpu

Power and Performance Characterization of Computational Kernels on the GPU

Y. Jiao, H. Lin, P. Balaji, W. Feng

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Tags: Computer science, Energy-efficient computing, FFT, nVidia, nVidia GeForce GTX 280, OpenCL, Performance

July 9, 2011 by hgpu

Numerical Parallel Processing Based on GPU with CUDA Architecture

Chengming Zou, Chunfen Xia, Guanghui Zhao

Tags: Algorithms, Computer science, CUDA, Linear Algebra, Matrix inversion, nVidia

July 9, 2011 by hgpu

AutoDock-GPU: AutoDock for GPUs and other accelerators

Architecting Tensor Core-Based Reductions for Irregular Molecular Docking Kernels

NCCLX: collective communication framework

Collective Communication for 100k+ GPUs

Tutoring LLM into a Better CUDA Optimizer

Kernel Library for LLM Serving

Compiler and Runtime Systems for Generative AI Models

Adaptivity in AdaptiveCpp: Optimizing Performance by Leveraging Runtime Information During JIT-Compilation

Neptune: Advanced ML Operator Fusion for Locality and Parallelism on GPUs

Genten: Software for Generalized Tensor Decompositions by Sandia National Laboratories

A Performance Portable Matrix Free Dense MTTKRP in GenTen

Interleaved Learning and Exploration: A Self-Adaptive Fuzz Testing Framework for MLIR

Pinocchio: PINpointing Orbit Crossing Collapsed Hierarchical Objects

Accelerating cosmological simulations on GPUs: a portable approach using OpenMP

KernelCoder: trained on a curated dataset of reasoning traces and CUDA kernel pairs

ConCuR: Conciseness Makes State-of-the-Art Kernel Generation

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high performance computing on graphics processing units: hgpu.org

The GeForce 6800

Implementation of large-scale FIR adaptive filters on NVIDIA GeForce graphics processing unit

The computer graphics wars heat up

Accelerating Lossless Data Compression with GPUs

Testing Tesla architecture for scientific computing: The performance of matrix-vector product

Many-core parallel computing – Can compilers and tools do the heavy lifting?

Study on acceleration technique for calculating near field of horn antenna based on GPU

Implementation of stereophonic acoustic echo canceller on nVIDIA GeForce graphics processing unit

Implementation of usual computerized tomography methods on GPU using the Compute Unified Device Architecture (CUDA)

GPU implementation of volume reconstruction and object detection in Digital Holographic Microscopy

Power and Performance Characterization of Computational Kernels on the GPU

Numerical Parallel Processing Based on GPU with CUDA Architecture

Recent source codes

AutoDock-GPU: AutoDock for GPUs and other accelerators

NCCLX: collective communication framework

Tutoring LLM into a Better CUDA Optimizer

Kernel Library for LLM Serving

Adaptivity in AdaptiveCpp: Optimizing Performance by Leveraging Runtime Information During JIT-Compilation

Neptune: Advanced ML Operator Fusion for Locality and Parallelism on GPUs

Genten: Software for Generalized Tensor Decompositions by Sandia National Laboratories

Interleaved Learning and Exploration: A Self-Adaptive Fuzz Testing Framework for MLIR

Pinocchio: PINpointing Orbit Crossing Collapsed Hierarchical Objects

KernelCoder: trained on a curated dataset of reasoning traces and CUDA kernel pairs

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