high performance computing on graphics processing units: hgpu.org

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Supporting GPU sharing in cloud environments with a transparent runtime consolidation framework

Vignesh T. Ravi, Michela Becchi, Gagan Agrawal, Srimat Chakradhar

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Tags: Algorithms, Cloud, Computer science, CUDA, nVidia, Operating systems, Performance, Tesla C2050, Virtualization

September 20, 2011 by hgpu

Acceleration of genetic algorithms for sudoku solution on many-core processors

Yuji Sato, Naohiro Hasegawa, Mikiko Sato

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Tags: Algorithms, Computer science, CUDA, Games, Genetic programming, nVidia, nVidia GeForce GTX 460, Presentation

September 20, 2011 by hgpu

Debugging CUDA

William B. Langdon

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Tags: Computer science, CUDA, nVidia, Software Engineering

September 19, 2011 by hgpu

ACO with tabu search on a GPU for solving QAPs using move-cost adjusted thread assignment

Shigeyoshi Tsutsui, Noriyuki Fujimoto

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Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 480, Optimization, Search

September 19, 2011 by hgpu

Generalisation in genetic programming

William B. Langdon

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Source codes

Tags: Artificial intelligence, Computer science, CUDA, Genetic programming, nVidia, Package

September 19, 2011 by hgpu

A model-driven partitioning and auto-tuning integrated framework for sparse matrix-vector multiplication on GPUs

Ping Guo, He Huang, Qichang Chen, Liqiang Wang, En-Jui Lee, Po Chen

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Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 295, Performance, Software Engineering, Sparse matrix

September 19, 2011 by hgpu

Computing without processors

Satnam Singh

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Tags: ATI, ATI Radeon HD 5870, Computer science, CUDA, DirectX, FPGA, Heterogeneous systems, nVidia, nVidia GeForce GTX 470

September 19, 2011 by hgpu

Real-time ray casting of algebraic B-spline surfaces

Feifei Wei, Jieqing Feng

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Tags: 3D Graphics and Realism, Algorithms, Computer science, CUDA, Interactive application, nVidia, nVidia GeForce GTX 570, Rasterization, Real-time graphics, Visualization

September 19, 2011 by hgpu

The TheLMA project: Multi-GPU implementation of the lattice Boltzmann method

Christian Obrecht, Frederic Kuznik, Bernard Tourancheau, Jean-Jacques Roux

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Tags: CUDA, Fluid dynamics, GPU cluster, Lattice Boltzmann model, nVidia, Presentation, Tesla C1060

September 19, 2011 by hgpu

Improving SIMD efficiency for parallel Monte Carlo light transport on the GPU

Dietger van Antwerpen

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Tags: 3D Graphics and Realism, Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX 480, Raytracing

September 19, 2011 by hgpu

Randomized selection on the GPU

Laura Monroe, Joanne Wendelberger, Sarah Michalak

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Tags: Algorithms, Computer science, nVidia, nVidia GeForce 8800 GT, nVidia GeForce GTX 285, nVidia Quadro FX 5000, nVidia Quadro FX 6000, Optimization, Presentation, Probability, Programming techniques

September 19, 2011 by hgpu

Simpler and faster HLBVH with work queues

Kirill Garanzha, Jacopo Pantaleoni, David McAllister

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Tags: 3D Graphics and Realism, Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX 480, Raytracing, Real-time graphics

September 19, 2011 by hgpu

AutoDock-GPU: AutoDock for GPUs and other accelerators

Architecting Tensor Core-Based Reductions for Irregular Molecular Docking Kernels

NCCLX: collective communication framework

Collective Communication for 100k+ GPUs

Tutoring LLM into a Better CUDA Optimizer

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

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high performance computing on graphics processing units: hgpu.org

Acceleration of genetic algorithms for sudoku solution on many-core processors

Debugging CUDA

ACO with tabu search on a GPU for solving QAPs using move-cost adjusted thread assignment

Generalisation in genetic programming

A model-driven partitioning and auto-tuning integrated framework for sparse matrix-vector multiplication on GPUs

Computing without processors

Real-time ray casting of algebraic B-spline surfaces

The TheLMA project: Multi-GPU implementation of the lattice Boltzmann method

Improving SIMD efficiency for parallel Monte Carlo light transport on the GPU

Randomized selection on the GPU

Simpler and faster HLBVH with work queues

Recent source codes

AutoDock-GPU: AutoDock for GPUs and other accelerators

NCCLX: collective communication framework

Tutoring LLM into a Better CUDA Optimizer

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

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