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GPU accelerated feature algorithms for mobile devices

Seth Hall

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Tags: Algorithms, Augmented reality, Clustering, Computer science, Computer vision, OpenCV, OpenGL, Thesis

December 2, 2014 by hgpu

A CUDA implementation of the High Performance Conjugate Gradient benchmark

Everett Phillips, Massimiliano Fatica

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Tags: Algorithms, Benchmarking, Computer science, CUDA, Differential equations, nVidia, Partial differential equations, PDEs, Tesla K20

November 29, 2014 by hgpu

Parallel kNN on GPU Architecture Using OpenCL

V.B.Nikam, B.B.Meshram

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Tags: Algorithms, Computer science, Data mining, OpenCL

November 29, 2014 by hgpu

A Self-Optimizing Framework for Developing Metrology Software on Massive Parallel Processor Architectures

T. Beier

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Tags: Algorithms, ATI, ATI Radeon HD 7750, Computer science, nVidia, nVidia GeForce GTX 480, OpenCL, Performance

November 25, 2014 by hgpu

Brute force de-shredding algorithm using the GPU

Simon Naude

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Tags: Algorithms, ATI, ATI Radeon HD 7850, ATI Radeon HD 7970, Computer science, OpenCL, Thesis

November 12, 2014 by hgpu

Accelerated Runtime Verification of LTL Specifications with Counting Semantics

Ramy Medhat, Yogi Joshi, Borzoo Bonakdarpour, Sebastian Fischmeister

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Tags: Algorithms, Computer science, CUDA, Logic in Computer Science, MapReduce, nVidia, Tesla K20, Thrust

November 12, 2014 by hgpu

Graphics Processing Unit-Based Computer-Aided Design Algorithms for Electronic Design Automation

Yiding Han

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Tags: Algorithms, Computer science, CUDA, Electronic design automation, nVidia, nVidia GeForce GTS 250, Tesla C1060, Thesis

November 5, 2014 by hgpu

Compoundly weighted Voronoi: a sequential and parallel implementation

Vincent Boerjan

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Tags: Algorithms, Computer science, nVidia, nVidia Quadro NVS 5200 M, OpenCL, OpenGL, Tessellation, Thesis, Voronoi diagram

October 31, 2014 by hgpu

Finite Element Numerical Integration on Xeon Phi coprocessor

Filip Kruzel, Krzysztof Banas

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Tags: Algorithms, Computer science, Intel Xeon Phi, nVidia, OpenCL, Tesla K20

October 31, 2014 by hgpu

Extended Dynamic Programming and Fast Multidimensional Search Algorithm for Energy Minization in Stereo and Motion

Mikhail G. Mozerov

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Tags: Algorithms, Computer science, Computer vision, Search strategies

October 31, 2014 by hgpu

Sparse Recovery on GPUs: Accelerating the Iterative Soft-Thresholding Algorithm

Achal Shah, Angshul Majumdar

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Tags: Algorithms, CUDA, Machine learning, nVidia, nVidia GeForce GTX 680, Signal processing

October 29, 2014 by hgpu

Efficient Particle-Mesh Spreading on GPUs

Xiangyu Guo, Xing Liu, Peng Xu, Zhihui Du, Edmond Chow

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX 480, Tesla K40

October 29, 2014 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

GPU accelerated feature algorithms for mobile devices

A CUDA implementation of the High Performance Conjugate Gradient benchmark

Parallel kNN on GPU Architecture Using OpenCL

A Self-Optimizing Framework for Developing Metrology Software on Massive Parallel Processor Architectures

Brute force de-shredding algorithm using the GPU

Accelerated Runtime Verification of LTL Specifications with Counting Semantics

Graphics Processing Unit-Based Computer-Aided Design Algorithms for Electronic Design Automation

Compoundly weighted Voronoi: a sequential and parallel implementation

Finite Element Numerical Integration on Xeon Phi coprocessor

Extended Dynamic Programming and Fast Multidimensional Search Algorithm for Energy Minization in Stereo and Motion

Sparse Recovery on GPUs: Accelerating the Iterative Soft-Thresholding Algorithm

Efficient Particle-Mesh Spreading on GPUs

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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