high performance computing on graphics processing units: hgpu.org

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Vector graphics depicting marbling flow

Ryoichi Ando, Reiji Tsuruno

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Tags: 3D Graphics and Realism, Algorithms, Computer science, CUDA, Image generation, nVidia, nVidia GeForce GTX 260

December 7, 2010 by hgpu

A Real-Time Multigrid Finite Hexahedra Method for Elasticity Simulation using CUDA

Christian Dick, Joachim Georgii, Rudiger Westermann

Tags: CUDA, nVidia, Physics

December 7, 2010 by hgpu

Massive parallel LDPC decoding on GPU

Gabriel Falcao, Leonel Sousa, Vitor Silva

Tags: Algorithms, Computer science, CUDA, Error recovery, nVidia

December 6, 2010 by hgpu

Parallel SimRank computation on large graphs with iterative aggregation

Guoming He, Haijun Feng, Cuiping Li, Hong Chen

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Tags: Computer science, CUDA, Data mining, Graph theory, nVidia, nVidia GeForce 9600 GT

December 6, 2010 by hgpu

BLAS Comparison on FPGA, CPU and GPU

Srinidhi Kestur, John D. Davis, Oliver Williams

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Tags: BLAS, Computer science, CUBLAS, CUDA, Energy-efficient computing, FPGA, Linear Algebra, nVidia, nVidia GeForce 9500 GT, Performance, Tesla C1060

December 6, 2010 by hgpu

Towards multi-GPU support for visualization

John D. Owens

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Tags: Computer science, CUDA, nVidia, Visualization

December 6, 2010 by hgpu

Real Time Capture of Audio Images and their Use with Video

Adam O'Donovan, Ramani Duraiswami, Nail A. Gumerov

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Tags: CUDA, nVidia, nVidia GeForce 8800 GTX, Signal processing

December 6, 2010 by hgpu

Optical Flow Computation on Compute Unified Device Architecture

Yoshiki Mizukami, Katsumi Tadamura

Tags: CUDA, Image processing, nVidia

December 5, 2010 by hgpu

GPU physics

Mark Harris

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Tags: Computer science, CUDA, nVidia, OpenGL, Presentation, Review

December 5, 2010 by hgpu

Voice Command Recognition with Dynamic Time Warping (DTW) using Graphics Processing Units (GPU) with Compute Unified Device Architecture (CUDA)

Gustavo Poli, Joao F. Mari, Hiroki, Alexandre L. Levada

Tags: CUDA, nVidia, nVidia GeForce 8800 GTX, Signal processing

December 5, 2010 by hgpu

Implementing a GPU-Enhanced Cluster for Large-Scale Simulations

Robert Lucas, Gene Wagenbreth, Dan Davis

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Tags: Computer science, CUDA, nVidia, nVidia GeForce 8800 GTX, Programming techniques

December 5, 2010 by hgpu

In-memory grid files on graphics processors

Ke Yang, Bingsheng He, Rui Fang, Mian Lu, Naga Govindaraju, Qiong Luo, Pedro Sander, Jiaoying Shi

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Tags: Algorithms, Computer science, CUDA, Databases, nVidia, nVidia GeForce 8800 GTX

December 4, 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

Vector graphics depicting marbling flow

A Real-Time Multigrid Finite Hexahedra Method for Elasticity Simulation using CUDA

Massive parallel LDPC decoding on GPU

Parallel SimRank computation on large graphs with iterative aggregation

BLAS Comparison on FPGA, CPU and GPU

Towards multi-GPU support for visualization

Real Time Capture of Audio Images and their Use with Video

Optical Flow Computation on Compute Unified Device Architecture

GPU physics

Voice Command Recognition with Dynamic Time Warping (DTW) using Graphics Processing Units (GPU) with Compute Unified Device Architecture (CUDA)

Implementing a GPU-Enhanced Cluster for Large-Scale Simulations

In-memory grid files on graphics processors

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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