high performance computing on graphics processing units: hgpu.org

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GPPE: a GPU-based Parallel Processing Environment for Large Scale Concurrent Data Streams

Jianwei Cao, Qingkui Chen, Songlin Zhuang

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Tags: Cloud, Clustering, Computer science, CUDA, GPU cluster, H.264/AVC, MPI, nVidia, nVidia GeForce GTX 260, nVidia GeForce GTX 280, nVidia GeForce GTX 295, nVidia GeForce GTX 480

June 12, 2014 by hgpu

Multi-threaded Kernel Offloading to GPGPU Using Hyper-Q on Kepler Architecture

Florian Wende, Thomas Steinke, Frank Cordes

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Tags: Computer science, CUDA, Heterogeneous systems, nVidia, Tesla K20, Tesla M2090

June 12, 2014 by hgpu

A Fast Batched Cholesky Factorization on a GPU

Tingxing Dong, Azzam Haidar, Stanimire Tomov, Jack Dongarra

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Tags: Algorithms, Computer science, CUDA, Factorization, Linear Algebra, nVidia, Package, Tesla K40

June 12, 2014 by hgpu

Optimization Techniques on GPU: A Survey

Rashmi Sharan Sinha, Satvir Singh

Tags: Algorithms, Computer science, CUDA, Metaheuristics, nVidia, nVidia GeForce GTX 285, Optimization, Overview, Particle swarm optimization, Tesla C1060, Tesla C2050

June 12, 2014 by hgpu

Parallel Prefix Scan with Compute Unified Device Architecture (CUDA)

B. Muni Lavanya

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Tags: Algorithms, Computer science, CUDA, nVidia, Sorting

June 11, 2014 by hgpu

Intersecting two families of sets on the GPU

Marta Fort, J. Antoni Sellares, Nacho Valladares

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

June 11, 2014 by hgpu

GPU Implementation of Gaussian Processes

Ying Deng, Edward Khon, Yuanruo Liang, Terence Lim, Jun Wei Ng, Lixiaonan Yin

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Tags: Computer science, CUDA, Machine learning, nVidia, nVidia GeForce GTX 570

June 11, 2014 by hgpu

Enabling High Performance Computing in Cloud Infrastructure using rCUDA

Yousuf Sait I, Vijayalakshmi R

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Tags: Cloud, Computer science, CUDA, nVidia, Tesla C2075, Tesla K20, Virtualization

June 11, 2014 by hgpu

Improvement Study of EEMD Decomposition Efficiency Based on CUDA Architecture

Zhu Xiao-jun, Lv Shi-qin, Yu Xue-li

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Tags: CUDA, nVidia, Signal processing

June 9, 2014 by hgpu

Efficient all-against-all protein similarity matrix computation using OpenCL

U. Köhler, A. Smirnov

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Tags: AMD Radeon HD 580, Bioinformatics, nVidia, OpenCL, Sequence alignment, Smith-Waterman algorithm

June 9, 2014 by hgpu

GPU-Accelerated Dynamic Functional Connectivity Analysis for Functional MRI Data Using OpenCL

D. Akgün, Ü. Sakoğlu, M. Mete, J. Esquivel, B. Adinoff

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Tags: Biology, Magnetic resonance imaging, Medicine, MRI, Neuroscience, nVidia, nVidia GeForce GTX 660, OpenCL

June 9, 2014 by hgpu

Multi-level parallelization for hybrid ACO

O. Abdelkafi, J. Lepagnot, L. Idoumghar

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Tags: CUDA, Metaheuristics, nVidia, nVidia GeForce GTX 680

June 9, 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

Multi-threaded Kernel Offloading to GPGPU Using Hyper-Q on Kepler Architecture

A Fast Batched Cholesky Factorization on a GPU

Optimization Techniques on GPU: A Survey

Parallel Prefix Scan with Compute Unified Device Architecture (CUDA)

Intersecting two families of sets on the GPU

GPU Implementation of Gaussian Processes

Improvement Study of EEMD Decomposition Efficiency Based on CUDA Architecture

Efficient all-against-all protein similarity matrix computation using OpenCL

GPU-Accelerated Dynamic Functional Connectivity Analysis for Functional MRI Data Using OpenCL

Multi-level parallelization for hybrid ACO

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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