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A Simplified and Accurate Model of Power-Performance Efficiency on Emergent GPU Architectures

Shuaiwen Song, Chunyi Su, Barry Rountree, Kirk W. Cameron

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Tags: Biomolecules, Computer science, CUDA, Electrostatics, Energy-efficient computing, GPU cluster, Heterogeneous systems, Machine learning, nVidia, Tesla C2075, Tesla M2090

February 18, 2013 by hgpu

Hybrid parallel programming – evaluation of OpenACC

Leonardo Piletti Chatain

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Tags: Benchmarking, Computer science, CUDA, Matrix multiplication, nVidia, nVidia GeForce GTX 480, OpenACC, Thesis

February 15, 2013 by hgpu

pROST : A Smoothed Lp-norm Robust Online Subspace Tracking Method for Realtime Background Subtraction in Video

Florian Seidel, Clemens Hage, Martin Kleinsteuber

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Tags: Computer science, Computer vision, CUDA, nVidia, nVidia GeForce GTX 660 Ti

February 15, 2013 by hgpu

MATLAB and Python for GPU Computing

Jose Unpingco, Juan Carlos Chaves

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Tags: Computer science, CUDA, Image processing, nVidia, nVidia GeForce 9800 GTS, nVidia GeForce 9800 GX2, Python, Signal processing, Tesla C1060, Tesla C2050

February 15, 2013 by hgpu

Urban Regional Seismic Damage Prediction Based On GPU-CPU Hybrid Computing

B. Han, X.Z. Lu, Z. Xu

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Tags: CUDA, Earth and Space Sciences, Hybrid computing, nVidia, Seismic modeling

February 15, 2013 by hgpu

Massively Parallel Computing in Economics

Eric M. Aldrich

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Source codes

Tags: CUDA, Finance, nVidia, Package, Review, Stochastic simulation, Tesla C2075

February 15, 2013 by hgpu

Developing Performance-Portable Molecular Dynamics Kernels in OpenCL

S. J. Pennycook, S. A. Jarvis

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Source codes

Tags: ATI, ATI FirePro V7800, ATI Radeon HD 6550, Benchmarking, Computer science, Molecular dynamics, nVidia, nVidia GeForce GTX 680, OpenCL, Package, Performance, Tesla C1060, Tesla C2050

February 14, 2013 by hgpu

Enhancing Performance of Meshfree Methods by Hybrid Computing

Yo-Ming Hsieh, Mao-Sen Pan

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Tags: Computer science, CUDA, FEM, Finite element method, Hybrid computing, nVidia, Tesla C2050

February 14, 2013 by hgpu

The Dual-Path Execution Model for Efficient GPU Control Flow

Minsoo Rhu, Mattan Erez

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Tags: Computer science, CUDA, GPGPU-sim, nVidia, Performance

February 14, 2013 by hgpu

Nonlinear dynamic finite element analysis with GPU

T. Bahcecioglu, O. Kurc

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Tags: Algorithms, Computer science, CUDA, Nonlinear analysis, nVidia, Tesla C2050

February 14, 2013 by hgpu

Efficient Exploitation of Heterogeneous Platforms for Images Features Extraction

Sidi Ahmed Mahmoudi, Pierre Manneback

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Tags: Algorithms, Computer science, Computer vision, CUDA, Heterogeneous systems, Image processing, nVidia, nVidia GeForce GTX 280, Pattern recognition, Tesla C1060

February 14, 2013 by hgpu

Finite-size scaling method for the Berezinskii-Kosterlitz-Thouless transition

Yun-Da Hsieh, Ying-Jer Kao, A. W. Sandvik

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Tags: Condensed matter, CUDA, nVidia, Physics, Statistical Mechanics, Tesla C2090

February 14, 2013 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 Simplified and Accurate Model of Power-Performance Efficiency on Emergent GPU Architectures

Hybrid parallel programming – evaluation of OpenACC

pROST : A Smoothed Lp-norm Robust Online Subspace Tracking Method for Realtime Background Subtraction in Video

MATLAB and Python for GPU Computing

Urban Regional Seismic Damage Prediction Based On GPU-CPU Hybrid Computing

Massively Parallel Computing in Economics

Developing Performance-Portable Molecular Dynamics Kernels in OpenCL

Enhancing Performance of Meshfree Methods by Hybrid Computing

The Dual-Path Execution Model for Efficient GPU Control Flow

Nonlinear dynamic finite element analysis with GPU

Efficient Exploitation of Heterogeneous Platforms for Images Features Extraction

Finite-size scaling method for the Berezinskii-Kosterlitz-Thouless transition

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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