high performance computing on graphics processing units: hgpu.org

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A map reduce framework for programming graphics processors

Bryan Catanzaro, Narayanan Sundaram, Kurt Keutzer

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Tags: Computer science, CUDA, MapReduce, nVidia, nVidia GeForce 8800 GTX

December 12, 2010 by hgpu

CUDA: Scalable parallel programming for high-performance scientific computing

D. Luebke

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Tags: Computer science, CUDA, High-level Languages, nVidia

December 12, 2010 by hgpu

Deformation modeling using global medial representation structures and evaluation by biset mesh matching

Yanyan Zou, Pengfei Huang, Lixu Gu, Jianghua Wu, Zhennan Yan, Sizhe Lv, Feng Chen, Jiasi Song, Hongshan Zhou, Qi Duan

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Tags: Computer science, CUDA, Finite element method, nVidia, Rendering

December 12, 2010 by hgpu

High performance computing for deformable image registration: Towards a new paradigm in adaptive radiotherapy

Sanjiv S. Samant, Junyi Xia, P, John D. Owens

Tags: Biology, Computed tomography, CT, CUDA, Image reconstruction, Image registration, Medicine, nVidia, nVidia GeForce 8800 GTX, Radiotherapy

December 11, 2010 by hgpu

Accelerating Reed-Solomon coding in RAID systems with GPUs

M. L. Curry, A. Skjellum, H. L. Ward, R. Brightwell

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Tags: Computer science, CUDA, Error recovery, nVidia, nVidia GeForce 8800 Ultra

December 11, 2010 by hgpu

Fast scan algorithms on graphics processors

Yuri Dotsenko, Naga K. Govindaraju, Peter P. Sloan, Charles Boyd, John Manferdelli

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Tags: Algorithms, Computer science, CUDA, Image processing, nVidia, nVidia GeForce 8800 GTX, Performance

December 11, 2010 by hgpu

H.264/AVC motion estimation implementation on Compute Unified Device Architecture (CUDA)

Wei-Nien Chen, Hsueh-Ming Hang

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Tags: CUDA, H.264/AVC, Image processing, nVidia, nVidia GeForce 8800 GTX

December 11, 2010 by hgpu

Towards acceleration of fault simulation using graphics processing units

Kanupriya Gulati, Sunil P. Khatri

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

December 11, 2010 by hgpu

Particle-in-cell Simulations with Charge-Conserving Current Deposition on Graphic Processing Units

Xianglong Kong, Michael C. Huang, Chuang Ren, Viktor K. Decyk

Tags: CUDA, nVidia, nVidia GeForce GTX 280, Particle-in-cell methods, Physics, Plasma physics

December 11, 2010 by hgpu

Value Prediction and Speculative Execution on GPU

Shaoshan Liu, Christine Eisenbeis, Jean-Luc Gaudiot

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

December 11, 2010 by hgpu

GPU accelerated radio astronomy signal convolution

Chris Harris, Karen Haines, Lister Staveley-Smith

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Tags: Astrophysics, CUDA, nVidia, nVidia GeForce 8800 GTS, Physics

December 11, 2010 by hgpu

Accelerating molecular dynamics simulations using Graphics Processing Units with CUDA

W. Liu, B. Schmidt, G. Voss, W. Mullerwittig

Tags: Chemistry, CUDA, Molecular dynamics, nVidia

December 11, 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

See all packages

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high performance computing on graphics processing units: hgpu.org

A map reduce framework for programming graphics processors

CUDA: Scalable parallel programming for high-performance scientific computing

Deformation modeling using global medial representation structures and evaluation by biset mesh matching

High performance computing for deformable image registration: Towards a new paradigm in adaptive radiotherapy

Accelerating Reed-Solomon coding in RAID systems with GPUs

Fast scan algorithms on graphics processors

H.264/AVC motion estimation implementation on Compute Unified Device Architecture (CUDA)

Towards acceleration of fault simulation using graphics processing units

Particle-in-cell Simulations with Charge-Conserving Current Deposition on Graphic Processing Units

Value Prediction and Speculative Execution on GPU

GPU accelerated radio astronomy signal convolution

Accelerating molecular dynamics simulations using Graphics Processing Units with CUDA

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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