high performance computing on graphics processing units: hgpu.org

Programming

hgpu.org » Programming

Coprocessor Computing with FPGA and GPU

Song Jun Park, Dale R. Shires, Brian J. Henz

Tags: Algorithms, Computer science, CUDA, FPGA, nVidia, Security, Sorting

May 28, 2011 by hgpu

Real-time view synthesis system with multi-texture structure of GPU

Ji-Youn Choi, Sae-Woon Ryu, Hong-Chang Shin, Jong-Il Park

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Tags: Algorithms, Image processing, nVidia, nVidia GeForce GTX 285, OpenGL

May 28, 2011 by hgpu

Acceleration of spiking neural networks in emerging multi-core and GPU architectures

Mohammad A. Bhuiyan, Vivek K. Pallipuram, Melissa C. Smith

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Tags: Biology, CUDA, Neural networks, Neuroscience, nVidia, Tesla C870

May 28, 2011 by hgpu

Power performance analysis of 3-D finite element mesh refinement with tetrahedra by CUDA/MPI on multi-core and GPU architecture

Da Qi Ren, D.D. Giannacopoulos, R. Suda

Tags: CUDA, Electrodynamics, FEM, Finite element method, MPI, nVidia

May 28, 2011 by hgpu

GPU-Based Feature-Preserving Distance Field Computation

Xiaoxiao Wu, Xiaohui Liang, Qidi Xu, Qinping Zhao

Tags: Algorithms, Computer science, Voronoi diagram

May 28, 2011 by hgpu

GPU acceleration of Zernike moments for large-scale images

M. Ujaldon

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

May 27, 2011 by hgpu

GPU-enabled high performance feature modeling for ATR applications

M.P. Dessauer, J. Hitchens, S. Dua

Tags: Algorithms, Computer science, Computer vision, Performance

May 27, 2011 by hgpu

Parallelization of Binary and Real-Coded Genetic Algorithms on CUDA

Ramnik Arora, Rupesh Tulshyan, Kalyanmoy Deb

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Tags: Computer science, CUDA, Genetic programming, nVidia, Tesla C1060

May 27, 2011 by hgpu

Parallelization of binary and real-coded genetic algorithms on GPU using CUDA

Ramnik Arora, Rupesh Tulshyan, Kalyanmoy Deb

Tags: Computer science, CUDA, Genetic programming, nVidia, Tesla C1060

May 27, 2011 by hgpu

Towards real time 3D tracking and reconstruction on a GPU using Monte Carlo simulations

Jairo R. Sanchez, Hugo Alvarez, Diego Borro

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Tags: Computer vision, CUDA, Image processing, Image reconstruction, Monte Carlo simulation, nVidia, nVidia GeForce GTX 260, Real-time graphics, Video tracking

May 27, 2011 by hgpu

Optimized GPU Framework for Pulsed Wave Doppler Ultrasound

Li Wang, Dan Shi, D.C. Liu

Tags: CUDA, FFT, Medicine, nVidia, Signal processing, Ultrasound

May 26, 2011 by hgpu

Accelerating adaptive background subtraction with GPU and CBEA architecture

M. Poremba, Yuan Xie, M. Wolf

Tags: Computer science, Computer vision, CUDA, nVidia

May 26, 2011 by hgpu

CUDAnalyst (CUDA + Analyst)

Towards Feedback-to-Plan Decisions for Self-Evolving LLM Agents in CUDA Kernel Generation

CodegenBench

CodegenBench: Can LLMs Write Efficient Code Across Architectures?

KernelBenchX: A Comprehensive Benchmark for Evaluating LLM-Generated GPU Kernels

CuTile Benchmark Suite: Performance and Productivity Tradeoffs for GPU Kernel Programming on Blackwell Architecture

Evaluating CUDA Tile for AI Workloads on Hopper and Blackwell GPUs

Device Virtual Machine (DVM)

DVM: Real-Time Kernel Generation for Dynamic AI Models

MegaTrain: Full Precision Training of 100B+ Parameter Large Language Models on a Single GPU

Agentic Code Optimization via Compiler-LLM Cooperation

See all packages

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high performance computing on graphics processing units: hgpu.org

Programming

Coprocessor Computing with FPGA and GPU

Real-time view synthesis system with multi-texture structure of GPU

Acceleration of spiking neural networks in emerging multi-core and GPU architectures

Power performance analysis of 3-D finite element mesh refinement with tetrahedra by CUDA/MPI on multi-core and GPU architecture

GPU-Based Feature-Preserving Distance Field Computation

GPU acceleration of Zernike moments for large-scale images

GPU-enabled high performance feature modeling for ATR applications

Parallelization of Binary and Real-Coded Genetic Algorithms on CUDA

Parallelization of binary and real-coded genetic algorithms on GPU using CUDA

Towards real time 3D tracking and reconstruction on a GPU using Monte Carlo simulations

Optimized GPU Framework for Pulsed Wave Doppler Ultrasound

Accelerating adaptive background subtraction with GPU and CBEA architecture

Recent source codes

CUDAnalyst (CUDA + Analyst)

CodegenBench

KernelBenchX: A Comprehensive Benchmark for Evaluating LLM-Generated GPU Kernels

CUDA Kernel Fusion Benchmarks

IntelliKit: Agent-first tooling for AMD hardware

DITRON: Distributed Compiler based on Triton for Parallel Systems

CuTile Benchmark Suite: Performance and Productivity Tradeoffs for GPU Kernel Programming on Blackwell Architecture

Device Virtual Machine (DVM)

MegaTrain: Full Precision Training of 100B+ Parameter Large Language Models on a Single GPU

Agentic Code Optimization via Compiler-LLM Cooperation

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