high performance computing on graphics processing units: hgpu.org

Programming

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A GPU-Based Simulation Kernel within Heterogeneous Collaborative Computation on Large-Scale Artificial Society

Li Zhen, Qiuxiao Gang, Guo Gang, Chen Bin

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Tags: Computer science, CUDA, Heterogeneous systems, MPI, nVidia, Task scheduling, Tesla C2050

May 24, 2014 by hgpu

Exploring the Multitude of Real-Time Multi-GPU Configurations

Glenn A. Elliott, James H. Anderson

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Tags: Computer science, CUDA, nVidia, nVidia Quadro K5000, Task scheduling

May 24, 2014 by hgpu

An Extensible Component-based Approach to Simulation Systems on Heterogeneous Clusters

Roger Viet Hoang

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Tags: Computer science, CUDA, Heterogeneous systems, nVidia, nVidia GeForce GTX 480, nVidia GeForce GTX 570, Performance, Tesla C2050, Thesis, Virtual reality

May 23, 2014 by hgpu

A Comparison of Massively Parallel Programming Models Through Applications in Sound Propagation and Jitter Measurement

Torbjorn Panton Loken

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Tags: Acoustics, Computer science, CUDA, nVidia, nVidia GeForce GTX 480, OpenGL, Thesis, Thrust

May 23, 2014 by hgpu

cuBLASTP: Fine-Grained Parallelization of Protein Sequence Search on a GPU

Jing Zhang, Hao Wang, Heshan Lin, Wu-chun Feng

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Tags: Bioinformatics, Biology, CUDA, Next-Generation sequencing, nVidia, Sequence alignment, Tesla K20

May 23, 2014 by hgpu

Petascale Application of a Coupled CPU-GPU Algorithm for Simulation and Analysis of Multiphase Flow Solutions in Porous Medium Systems

James E. McClure, Hao Wang, Jan F. Prins, Cass T. Miller, Wu-chun Feng

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Tags: Algorithms, CUDA, Fluid dynamics, Heterogeneous systems, Lattice Boltzmann model, MPI, nVidia, Tesla K20

May 23, 2014 by hgpu

A Tool for Interactive Parallelization

Ritu Arora, Julio Olaya, Madhav Gupta

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Tags: Computer science, CUDA, MPI, nVidia, Programming techniques

May 21, 2014 by hgpu

Vector Quantization: A Many-Core Approach

Rita Silva, Telmo Marques, Jorge Desirat, Patricio Domingues

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Tags: Algorithms, Compression, Computer science, CUDA, nVidia, nVidia GeForce GTX 480, OpenCL, Vector quantization

May 21, 2014 by hgpu

3D Object Recognition using Convolutional Neural Networks with Transfer Learning between Input Channels

Luis A. Alexandre

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Tags: CNN, Computer science, Computer vision, CUDA, Image recognition, Neural networks, nVidia, nVidia GeForce GTX 680

May 21, 2014 by hgpu

Simulation Studies of Viral Advertisement Diffusion on Multi-GPU

Jiangming Jin, Stephen John Turner, Bu-Sung Lee, Jianlong Zhong, Bingsheng He

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Tags: Computer science, CUDA, nVidia, Tesla C2050

May 21, 2014 by hgpu

A High Memory Bandwidth FPGA Accelerator for Sparse Matrix-Vector Multiplication

Jeremy Fowers, Kalin Ovtcharov, Karin Strauss, Eric S. Chung, Greg Stitt

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Tags: Computer science, CUDA, FPGA, nVidia, nVidia GeForce GTX 580, Sparse matrix

May 21, 2014 by hgpu

Developing a compiler for the XeonPhi

Paul Cockshott, Susanne Oehler, Tian Xu

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Tags: Compilers, Computer science, CUDA, Intel Xeon Phi, nVidia, nVidia GeForce GTX 770, Performance

May 21, 2014 by hgpu

Tutoring LLM into a Better CUDA Optimizer

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

Kernel Library for LLM Serving

Compiler and Runtime Systems for Generative AI Models

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

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high performance computing on graphics processing units: hgpu.org

Programming

A GPU-Based Simulation Kernel within Heterogeneous Collaborative Computation on Large-Scale Artificial Society

Exploring the Multitude of Real-Time Multi-GPU Configurations

An Extensible Component-based Approach to Simulation Systems on Heterogeneous Clusters

A Comparison of Massively Parallel Programming Models Through Applications in Sound Propagation and Jitter Measurement

cuBLASTP: Fine-Grained Parallelization of Protein Sequence Search on a GPU

Petascale Application of a Coupled CPU-GPU Algorithm for Simulation and Analysis of Multiphase Flow Solutions in Porous Medium Systems

A Tool for Interactive Parallelization

Vector Quantization: A Many-Core Approach

3D Object Recognition using Convolutional Neural Networks with Transfer Learning between Input Channels

Simulation Studies of Viral Advertisement Diffusion on Multi-GPU

A High Memory Bandwidth FPGA Accelerator for Sparse Matrix-Vector Multiplication

Developing a compiler for the XeonPhi

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Tutoring LLM into a Better CUDA Optimizer

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

Kernel Library for LLM Serving

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

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