high performance computing on graphics processing units: hgpu.org

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hgpu.org » paper

Development of nonlinear filter bank system for real-time beautification of facial video using GPGPU

A. Yoda, Y. Iguchi, K. Arakawa

Tags: Filtering, Image processing

April 5, 2011 by hgpu

Neuromorphic models on a GPGPU cluster

Bing Han, T.M. Taha

Tags: Biology, GPU cluster, MPI, Neuroscience, nVidia, Tesla S1070

April 5, 2011 by hgpu

A GPGPU-Based Collision Detection Algorithm

Zou Yisheng, Zhou Xiaoli, Ding Guofu, He Yong, Jia Meiwei

Tags: Collision detection, Computer science

April 5, 2011 by hgpu

GPGPU supported cooperative acceleration in molecular dynamics

Gang Chen, Guobo Li, Songwen Pei, Baifeng Wu

Tags: ATI, Brook, Chemistry, Molecular dynamics

April 5, 2011 by hgpu

Parallelizing Simulated Annealing-Based Placement Using GPGPU

Alexander Choong, Rami Beidas, Jianwen Zhu

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Tags: Numerical simulation, nVidia, nVidia GeForce GTX 280, Physics

April 5, 2011 by hgpu

GPGPU-FDTD method for 2-dimensional electromagnetic field simulation and its estimation

M. Unno, Y. Inoue, H. Asar

Tags: Computational Engineering, FDTD, Finite-difference time-domain

April 5, 2011 by hgpu

A Case Study of SWIM: Optimization of Memory Intensive Application on GPGPU

Wei Yi, Yuhua Tang, Guibin Wang, Xudong Fang

Tags: Computer science, Memory, nVidia, nVidia GeForce GTX 295, Optimization, Performance

April 4, 2011 by hgpu

Many-Thread Aware Prefetching Mechanisms for GPGPU Applications

Jaekyu Lee, Nagesh B. Lakshminarayana, Hyesoon Kim, Richard Vuduc

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Tags: Computer science, CUDA, Memory, nVidia, nVidia GeForce 8800 GT, Performance

April 4, 2011 by hgpu

GPGPU implementation of a synaptically optimized, anatomically accurate spiking network simulator

Ruggero Scorcioni

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Tags: Biology, CUDA, Neuroscience, nVidia

April 4, 2011 by hgpu

GPGPU-based Latency Insertion Method: Application to PDN simulations

Y. Inoue, T. Sekine, H. Asai

Tags: Computational Engineering, Computer science

April 4, 2011 by hgpu

Migrating real-time depth image-based rendering from traditional to next-gen GPGPU

S. Rogmans, M. Dumont, G. Lafruit, P. Bekaert

Tags: Computer science, Rendering

April 4, 2011 by hgpu

The optimization of parallel Smith-Waterman sequence alignment using on-chip memory of GPGPU

Qian Zhang, Hong An, Gu Liu, Wenting Han, Ping Yao, Mu Xu, Xiaoqiang Li

Tags: Bioinformatics, Biology, CUDA, nVidia, Sequence alignment, Smith-Waterman algorithm

April 4, 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

Agentic Code Optimization via Compiler-LLM Cooperation

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

See all packages

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high performance computing on graphics processing units: hgpu.org

Applications

Development of nonlinear filter bank system for real-time beautification of facial video using GPGPU

Neuromorphic models on a GPGPU cluster

A GPGPU-Based Collision Detection Algorithm

GPGPU supported cooperative acceleration in molecular dynamics

Parallelizing Simulated Annealing-Based Placement Using GPGPU

GPGPU-FDTD method for 2-dimensional electromagnetic field simulation and its estimation

A Case Study of SWIM: Optimization of Memory Intensive Application on GPGPU

Many-Thread Aware Prefetching Mechanisms for GPGPU Applications

GPGPU implementation of a synaptically optimized, anatomically accurate spiking network simulator

GPGPU-based Latency Insertion Method: Application to PDN simulations

Migrating real-time depth image-based rendering from traditional to next-gen GPGPU

The optimization of parallel Smith-Waterman sequence alignment using on-chip memory of GPGPU

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

Agentic Code Optimization via Compiler-LLM Cooperation

Device Virtual Machine (DVM)

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

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