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A Study of CUDA Acceleration and Impact of Data Transfer Overhead in Heterogeneous Environment

Fahian Ahmed, Saddam Quirem, Bum Joo Shin, Duk Joo Son, Young Choon Woo, Byeong Kil Lee, Wan Choi

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Tags: Algorithms, Computer science, CUDA, Databases, Heterogeneous systems, nVidia, Optimization, Security, Tesla C1060

March 9, 2012 by hgpu

Relational Algorithms for Multi-Bulk-Synchronous Processors

Gregory Frederick Diamos, Haicheng Wu, Ashwin Lele, Jin Wang, Sudhakar Yalamanchili

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Tags: Algorithms, Computational Complexity, Computer science, CUDA, Databases, Design space exploration, nVidia, Optimization, Tesla C2050

March 9, 2012 by hgpu

Scalable framework for mapping streaming applications onto multi-GPU systems

Huynh Phung Huynh, Andrei Hagiescu, Weng-Fai Wong, Rick Siow Mong Goh

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Tags: Algorithms, Code generation, Computer science, CUDA, GPU cluster, nVidia, Tesla C2070

March 8, 2012 by hgpu

Efficient Relational Algebra Algorithms and Data Structures for GPU

Gregory Frederick Diamos, Haicheng Wu, Ashwin Lele, Jin Wang

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Tags: Algorithms, Computational Complexity, Computer science, CUDA, Databases, Design space exploration, nVidia, Tesla C2050

March 6, 2012 by hgpu

Parallel Implementation of Similarity Measures on GPU Architecture using CUDA

Kuldeep Yadav, Ankush Mittal, M.A Ansari, Vennktesh Vishwarup

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Tags: Algorithms, Computer vision, CUDA, Image processing, nVidia, nVidia GeForce 9500 GT, Pattern recognition

March 2, 2012 by hgpu

Ray Tracing Visualization Toolkit

Christiaan Gribble, Jeremy Fisher, Daniel Eby, Ed Quigley, Gideon Ludwig

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Tags: 3D Graphics and Realism, Algorithms, Computer science, OpenCL, OpenGL, Raytracing, Rendering, Visualization

March 2, 2012 by hgpu

Parallel Hashing, Compression and Encryption with OpenCL under OS X

Vasileios Xouris

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Tags: Algorithms, Compression, Computer science, Hashing, nVidia, nVidia GeForce 9400 M, nVidia GeForce 9600 M GT, OpenCL, Security, Thesis

March 2, 2012 by hgpu

Parallel Loopy Belief Propagation in Conditional Random Fields

Nico Piatkowski, Katharina Morik

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

March 1, 2012 by hgpu

A Restructuring Algorithm for CUDA

M. A. Al-Mouhamed, A. H. Khan

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Tags: Algorithms, Code generation, Compilers, Computer science, CUDA, nVidia

February 29, 2012 by hgpu

Parallel Computation for Discrete Orthogonal Moments of Images Using Graphic Processing Unit

Dongfeng Xu, Yehan Zheng, Yuefang Gao, Dong Wang

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Tags: Algorithms, CUDA, Image processing, nVidia, nVidia GeForce 9600 GSO

February 28, 2012 by hgpu

GPU Computing for Machine Learning Algorithms

Mauro Garofalo

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Tags: Algorithms, Computer science, CUDA, Machine learning, nVidia, nVidia GeForce GT 540 M, Thesis

February 28, 2012 by hgpu

A GPU-based parallel algorithm for time series pattern mining

Tao Sun, Jian Sha, Lin Feng

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Tags: Algorithms, Computer science, CUDA, Data mining, nVidia, nVidia GeForce 9800 GTX

February 28, 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 Study of CUDA Acceleration and Impact of Data Transfer Overhead in Heterogeneous Environment

Relational Algorithms for Multi-Bulk-Synchronous Processors

Scalable framework for mapping streaming applications onto multi-GPU systems

Efficient Relational Algebra Algorithms and Data Structures for GPU

Parallel Implementation of Similarity Measures on GPU Architecture using CUDA

Ray Tracing Visualization Toolkit

Parallel Hashing, Compression and Encryption with OpenCL under OS X

Parallel Loopy Belief Propagation in Conditional Random Fields

A Restructuring Algorithm for CUDA

Parallel Computation for Discrete Orthogonal Moments of Images Using Graphic Processing Unit

GPU Computing for Machine Learning Algorithms

A GPU-based parallel algorithm for time series pattern mining

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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