high performance computing on graphics processing units: hgpu.org

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hgpu.org » Applications » Computer science

Fast Convolutional Nets With fbfft: A GPU Performance Evaluation

Nicolas Vasilache, Jeff Johnson, Michael Mathieu, Soumith Chintala, Serkan Piantino, Yann LeCun

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Tags: Algorithms, CNN, Computer science, CUDA, FFT, Machine learning, Neural and Evolutionary Computing, Neural networks, nVidia, Package, Tesla K40

December 26, 2014 by hgpu

Legion: Programming Distributed Heterogeneous Architectures with Logical Regions

Michael Edward Bauer

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Tags: Computer science, CUDA, Distributed computing, Heterogeneous systems, nVidia, Package, Tesla K20, Tesla M2090, Thesis

December 22, 2014 by hgpu

Purine: A bi-graph based deep learning framework

Min Lin, Shuo Li, Xuan Luo, Shuicheng Yan

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Tags: Computer science, CUDA, Machine learning, Neural and Evolutionary Computing, nVidia

December 22, 2014 by hgpu

Manycore processing of repeated k-NN queries over massive moving objects observations

Francesco Lettich, Salvatore Orlando, Claudio Silvestri

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Tags: Computer science, CUDA, Data Structures and Algorithms, Databases, Nearest neighbour, nVidia, nVidia GeForce GTX 580

December 22, 2014 by hgpu

GPU Pro 5: Advanced Rendering Techniques

Wolfgang Engel

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Tags: 3D Graphics and Realism, ATI, Computer science, nVidia, OpenCL, OpenGL, Rasterization, Raytracing, Rendering

December 22, 2014 by hgpu

GPGPU-Sim

Filip Andersson

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Tags: Computer science, CUDA, GPGPU-sim, nVidia, nVidia GeForce GTX 480, Tesla C2050, Thesis

December 22, 2014 by hgpu

GPU Accelerated Nature Inspired Methods for Modelling Large Scale Bi-Directional Pedestrian

Sankha Baran Dutta

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Tags: Ant colony optimization, Computational Complexity, Computer science, CUDA, nVidia, nVidia GeForce GTX 560 Ti, Thesis, Vehicular traffic

December 22, 2014 by hgpu

Fast Solving of Influence Diagrams for Multiagent Planning on GPU-enabled Architectures

Fadel Adoe, Yingke Chen, Prashant Doshi

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Tags: Algorithms, Bayesian, Computer science, CUDA, Heterogeneous systems, nVidia, nVidia GeForce GTX 480, Package

December 22, 2014 by hgpu

Efficient Workload Balancing on Heterogeneous GPUs using Mixed-Integer Non-Linear Programming

Chih-Sheng Lin, Chih-Wei Hsieh, Hsi-Ya Chang, Pao-Ann Hsiung

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Tags: Computer science, CUDA, Heterogeneous systems, nVidia, nVidia GeForce GTS 250, nVidia GeForce GTX 690, Tesla C2050, Tesla K20

December 20, 2014 by hgpu

A Review on Parallelization of Node based Game Tree Search Algorithms on GPU

Rutuja U. Gosavi, Payal S. Kulkarni

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Tags: Algorithms, Artificial intelligence, Computer science, CUDA, nVidia

December 20, 2014 by hgpu

A Parallel Recursive Approach for Solving All Pairs Shortest Path Problem on GPU using OpenCL

Manish Pandey, Sanjay Sharma

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Tags: Algorithms, ATI, ATI Radeon HD 6450, ATI Radeon HD 6850, Computer science, nVidia, nVidia GeForce GT 630 M, OpenCL, Path problems

December 20, 2014 by hgpu

Towards an automatic generation of dense linear algebra solvers on parallel architectures

Marc Baboulin, Joel Falcou, Ian Masliah

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Tags: Computer science, CUDA, Linear Algebra, Mixed precision, nVidia, Tesla C2075

December 20, 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

Applications

Fast Convolutional Nets With fbfft: A GPU Performance Evaluation

Legion: Programming Distributed Heterogeneous Architectures with Logical Regions

Purine: A bi-graph based deep learning framework

Manycore processing of repeated k-NN queries over massive moving objects observations

GPU Pro 5: Advanced Rendering Techniques

GPGPU-Sim

GPU Accelerated Nature Inspired Methods for Modelling Large Scale Bi-Directional Pedestrian

Fast Solving of Influence Diagrams for Multiagent Planning on GPU-enabled Architectures

Efficient Workload Balancing on Heterogeneous GPUs using Mixed-Integer Non-Linear Programming

A Review on Parallelization of Node based Game Tree Search Algorithms on GPU

A Parallel Recursive Approach for Solving All Pairs Shortest Path Problem on GPU using OpenCL

Towards an automatic generation of dense linear algebra solvers on parallel architectures

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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