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A Quantitative Study of Irregular Programs on GPUs

Martin Burtscher, Rupesh Nasre, Keshav Pingali

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Tags: Benchmarking, Computer science, CUDA, nVidia, nVidia Quadro FX 6000, Performance

September 23, 2012 by hgpu

Computing of high breakdown regression estimators without sorting on graphics processing units

G. Beliakov, M. Johnstone, S. Nahavandi

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Tags: Computer science, CUDA, nVidia, Tesla C2050

September 22, 2012 by hgpu

SpMV: A Memory-Bound Application on the GPU Stuck Between a Rock and a Hard Place

John D. Davis, Eric S. Chung

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Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 580, nVidia GeForce GTX 680, Sparse matrix

September 22, 2012 by hgpu

Overlapping computation and communication of three-dimensional FDTD on a GPU cluster

Ki-Hwan Kim, Q-Han Park

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Tags: Computer science, FDTD, Finite-difference time-domain, GPU cluster, nVidia, OpenCL, Tesla C2075

September 22, 2012 by hgpu

Modification of self-organizing migration algorithm for OpenCL framework

Michal Pavlech, Jan Seckar

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Tags: Algorithms, ATI, ATI Radeon HD 7850, Computer science, nVidia, OpenCL, Optimization, Tesla C2075

September 22, 2012 by hgpu

Large-Scale Motion Modelling using a Graphical Processing Unit

Yusuf Dinath

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Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 480, Thesis

September 21, 2012 by hgpu

Some examples of instant computations of fluid dynamics on GPU

Florian De Vuyst, Christophe Labourdette

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Tags: CUDA, Fluid dynamics, Lattice Boltzmann model, Navier-Stokes equations, NSEs, nVidia, Tesla C2070, Visualization

September 21, 2012 by hgpu

Parallelization of Hierarchical Text Clustering on Multi-core CUDA Architecture

Atul Bagga, Durga Toshniwal

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Tags: Clustering, Computer science, CUDA, Databases, Hierarchical clustering, nVidia, nVidia GeForce 8800 GTX

September 21, 2012 by hgpu

Fast and Efficient Automatic Memory Management for GPUs using Compiler-Assisted Runtime Coherence Scheme

Sreepathi Pai, R. Govindarajan, Matthew J. Thazhuthaveetil

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Tags: Computer science, CUDA, Memory model, nVidia, Performance, Tesla C1060

September 21, 2012 by hgpu

Autotuning Wavefront Abstractions for Heterogeneous Architectures

Siddharth Mohanty, Murray Cole

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Tags: ATI, ATI Radeon HD 7970, Computer science, Heterogeneous systems, Machine learning, nVidia, nVidia GeForce GTX 480, nVidia GeForce GTX 580, OpenCL

September 21, 2012 by hgpu

Charged particles constrained to a curved surface

Thomas Muller, Jorg Frauendiener

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Tags: CUDA, Electrostatics, nVidia, OpenGL, Package, Physics

September 20, 2012 by hgpu

Evolutionary Clustering on CUDA

Pavel Kromer, Jan Platos, Vaclav Snasel

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Tags: Algorithms, Clustering, Computer science, CUDA, Machine learning, nVidia, Tesla C2050

September 20, 2012 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

A Quantitative Study of Irregular Programs on GPUs

Computing of high breakdown regression estimators without sorting on graphics processing units

SpMV: A Memory-Bound Application on the GPU Stuck Between a Rock and a Hard Place

Overlapping computation and communication of three-dimensional FDTD on a GPU cluster

Modification of self-organizing migration algorithm for OpenCL framework

Large-Scale Motion Modelling using a Graphical Processing Unit

Some examples of instant computations of fluid dynamics on GPU

Parallelization of Hierarchical Text Clustering on Multi-core CUDA Architecture

Fast and Efficient Automatic Memory Management for GPUs using Compiler-Assisted Runtime Coherence Scheme

Autotuning Wavefront Abstractions for Heterogeneous Architectures

Charged particles constrained to a curved surface

Evolutionary Clustering on CUDA

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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