high performance computing on graphics processing units: hgpu.org

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Real-time KD-tree construction on graphics hardware

Kun Zhou, Qiming Hou, Rui Wang, Baining Guo

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Tags: 3D Graphics and Realism, Computer science, CUDA, Image processing, KR-tree, nVidia, nVidia GeForce 8800 Ultra, Raytracing, Rendering

November 3, 2010 by hgpu

Optimal loop unrolling for GPGPU programs (thesis)

Giridhar S. Murthy

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Tags: Computer science, CUDA, nVidia, nVidia GeForce 8800 GTX, nVidia GeForce GTX 280, OpenCL, Review, Thesis

November 3, 2010 by hgpu

Optimal loop unrolling for GPGPU programs

Giridhar S. Murthy, Mahesh Ravishankar, Muthu M. Baskaran, P. Sadayappan

Tags: Computer science, CUDA, nVidia, nVidia GeForce 8800 GTX, nVidia GeForce GTX 280, OpenCL, Review

November 3, 2010 by hgpu

Computer vision signal processing on graphics processing units

James Fung, Steve Mann

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Tags: ATI, Computer science, Computer vision, nVidia, OpenGL

November 3, 2010 by hgpu

FDTD calculations using graphical processing units

M. J. Inman, A. Z. Elsherbeni, C. E. Smith

Tags: Computer science, FDTD

November 3, 2010 by hgpu

CryptoGraphics: Secret Key Cryptography Using Graphics Cards

D. Cook, J. Ioannidis, A. Keromytis, J. Luck

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Tags: AES, Block Ciphers, Computer science, Security, Stream Ciphers

November 2, 2010 by hgpu

Towards Utilizing GPUs in Information Visualization: A Model and Implementation of Image-Space Operations

Bryan McDonnel, Niklas Elmqvist

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Tags: Computer science, Shaders, Visualization

November 2, 2010 by hgpu

Performance Predictions for General-Purpose Computation on GPUs

Weiguo Liu, Wolfgang M. Wittig, Bertil Schmidt

Tags: Computer science, Performance

November 2, 2010 by hgpu

Wait-free programming for general purpose computations on graphics processors

Phuong H. Ha, Philippas Tsigas, Otto J. Anshus

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Tags: Computer science, Consensus, Distributed data structures, Read-modify-write objects, Synchronization

November 2, 2010 by hgpu

Multi-grain Parallel Processing of Data-Clustering on Programmable Graphics Hardware

Hiroyki Takizawa, Hiroaki Kobayashi

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Tags: Cluster analysis, Computer science, Data mining, Nearest neighbour

November 2, 2010 by hgpu

A first look at integrated GPUs for green high-performance computing

T. Scogland, H. Lin, W. Feng

Tags: Computer science, Embedded high-performance computing, Energy-efficient computing, Green, Performance

November 2, 2010 by hgpu

Algorithmic performance studies on graphics processing units

O. Schenk, M. Christen, H. Burkhart

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Tags: Computer science, Linear Algebra, Matrix decomposition, Nonlinear optimization, nVidia, nVidia GeForce 8800 GTX, Sparse direct solvers

November 2, 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

Real-time KD-tree construction on graphics hardware

Optimal loop unrolling for GPGPU programs (thesis)

Optimal loop unrolling for GPGPU programs

Computer vision signal processing on graphics processing units

FDTD calculations using graphical processing units

CryptoGraphics: Secret Key Cryptography Using Graphics Cards

Towards Utilizing GPUs in Information Visualization: A Model and Implementation of Image-Space Operations

Performance Predictions for General-Purpose Computation on GPUs

Wait-free programming for general purpose computations on graphics processors

Multi-grain Parallel Processing of Data-Clustering on Programmable Graphics Hardware

A first look at integrated GPUs for green high-performance computing

Algorithmic performance studies on graphics processing units

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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