high performance computing on graphics processing units: hgpu.org

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Acceleration of Various Direct/Iterative Solvers for MoM by GPU and Its Computational Cost

Keisuke Konno, Qiang Chen, Hajime Katsuda

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Tags: CUDA, Electrodynamics, nVidia, Physics, Tesla C2075

August 26, 2014 by hgpu

Speedup of Type-1 Fuzzy Logic Systems on Graphics Processing Units Using CUDA

Durlabh Chauhan, Satvir Singh, Sarabjeet Singh, Vijay Kumar Banga

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Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 650

August 26, 2014 by hgpu

Structured Orthogonal Inversion of Block p-Cyclic Matrices on Multicore with GPU Accelerators

Sergiy Gogolenko, Zhaojun Bai, Richard Scalettar

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Tags: Algorithms, Computer science, CUDA, Factorization, Mathematics, nVidia, nVidia GeForce GTX 480, Package, Tesla C1060

August 23, 2014 by hgpu

GPU Virtualization for High Performance General Purpose Computing on the ESX Hypervisor

Lan Vu, Hari Sivaraman, Rishi Bidarkar

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Tags: Computer science, CUDA, nVidia, nVidia Quadro 4000, Virtualization

August 23, 2014 by hgpu

Estimating GPU Speedups for Programs Without Writing a Single Line of GPU Code

Newsha Ardalani, Karthikeyan Sankaralingam, Xiaojin Zhu

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Tags: Benchmarking, Computer science, CUDA, Heterogeneous systems, nVidia, nVidia GeForce GTX 480, nVidia GeForce GTX 660 Ti, OpenCL, Performance, Tesla K20

August 23, 2014 by hgpu

Caffe: Convolutional Architecture for Fast Feature Embedding

Yangqing Jia, Evan Shelhamer, Jeff Donahue, Sergey Karayev, Jonathan Long, Ross Girshick, Sergio Guadarrama, Trevor Darrell

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Tags: Cloud, Computer science, CUDA, Neural networks, nVidia, Package, Pattern recognition, Python

August 23, 2014 by hgpu

Parallel Bio-Inspired Methods for Model Optimization and Pattern Recognition

Youssef S. G. Nashed

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Tags: Computer science, CUDA, Metaheuristics, nVidia, nVidia GeForce GT 630 M, nVidia GeForce GTS 450, Pattern recognition, Thesis

August 23, 2014 by hgpu

A Comprehensive Survey on Various Evolutionary Algorithms on GPU

Satvir Singh, Jaspreet Kaur, Rashmi Sharan Sinha

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX 280, nVidia GeForce GTX 285, nVidia GeForce GTX 480, nVidia GeForce GTX 580, Particle swarm optimization, Tesla C1060, Tesla C2050

August 23, 2014 by hgpu

A Computational Realization of a Semi-Lagrangian Method for Solving the Advection Equation

Alexander Efremov, Eugenya Karepova, Vladimir Shaydurov, Alexander Vyatkin

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Tags: Algorithms, CUDA, Mathematics, nVidia, OpenMP, Tesla C2050

August 21, 2014 by hgpu

Volumetric Rendering Techniques for Scientific Visualization

Erhan Okuyan

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Tags: Algorithms, Computer science, CUDA, Mesh simplification, nVidia, nVidia GeForce 8800 GT, nVidia GeForce GTX 560, OpenMP, Rendering, Visualization

August 21, 2014 by hgpu

Error Resilience Evaluation on GPGPU Applications

Bo Fang

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Tags: Algorithms, Computer science, CUDA, Fault tolerance, nVidia, Package, Thesis

August 21, 2014 by hgpu

GPU Accelerated Range Trees with Applications

Manoj Maramreddy, Kishore Kothapalli

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Tags: Computer science, CUDA, Databases, Graph theory, nVidia, nVidia GeForce GTX 580, OpenMP

August 19, 2014 by hgpu

Kernel Library for LLM Serving

Compiler and Runtime Systems for Generative AI Models

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

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

Genten: Software for Generalized Tensor Decompositions by Sandia National Laboratories

A Performance Portable Matrix Free Dense MTTKRP in GenTen

Interleaved Learning and Exploration: A Self-Adaptive Fuzz Testing Framework for MLIR

Pinocchio: PINpointing Orbit Crossing Collapsed Hierarchical Objects

Accelerating cosmological simulations on GPUs: a portable approach using OpenMP

KernelCoder: trained on a curated dataset of reasoning traces and CUDA kernel pairs

ConCuR: Conciseness Makes State-of-the-Art Kernel Generation

VibeCodeHPC - Multi Agentic Vibe Coding for HPC

VibeCodeHPC: An Agent-Based Iterative Prompting Auto-Tuner for HPC Code Generation Using LLMs

Compile-Time Resource Safety for GPU APIs: A Low-Overhead Typestate Framework

exa-AMD: Exascale Accelerated Materials Discovery

exa-AMD: An Exascale-Ready Framework for Accelerating the Discovery and Design of Functional Materials

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high performance computing on graphics processing units: hgpu.org

Programming

Acceleration of Various Direct/Iterative Solvers for MoM by GPU and Its Computational Cost

Speedup of Type-1 Fuzzy Logic Systems on Graphics Processing Units Using CUDA

Structured Orthogonal Inversion of Block p-Cyclic Matrices on Multicore with GPU Accelerators

GPU Virtualization for High Performance General Purpose Computing on the ESX Hypervisor

Estimating GPU Speedups for Programs Without Writing a Single Line of GPU Code

Parallel Bio-Inspired Methods for Model Optimization and Pattern Recognition

A Comprehensive Survey on Various Evolutionary Algorithms on GPU

A Computational Realization of a Semi-Lagrangian Method for Solving the Advection Equation

Volumetric Rendering Techniques for Scientific Visualization

Error Resilience Evaluation on GPGPU Applications

GPU Accelerated Range Trees with Applications

Recent source codes

Kernel Library for LLM Serving

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

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

Genten: Software for Generalized Tensor Decompositions by Sandia National Laboratories

Interleaved Learning and Exploration: A Self-Adaptive Fuzz Testing Framework for MLIR

Pinocchio: PINpointing Orbit Crossing Collapsed Hierarchical Objects

KernelCoder: trained on a curated dataset of reasoning traces and CUDA kernel pairs

VibeCodeHPC - Multi Agentic Vibe Coding for HPC

Compile-Time Resource Safety for GPU APIs: A Low-Overhead Typestate Framework

exa-AMD: Exascale Accelerated Materials Discovery

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