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CPU/GPGPU/HW comparison of an Eigenfaces face recognition system

Julio Camarero Mateo

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Tags: Computer science, Computer vision, CUDA, FPGA, nVidia, Tesla C2075, Thesis

March 17, 2014 by hgpu

Multi-GPU cluster wave propagation and OpenGL visualization

Jacob Lundgren, Nils Olofsson

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Tags: Computer science, CUDA, Finite difference, GPU cluster, nVidia, nVidia GeForce GTX 580, nVidia GeForce GTX 670, OpenGL, Visualization

March 15, 2014 by hgpu

Searching for sinks of Henon map using a multiple-precision GPU arithmetic library

Mioara Joldes, Valentina Popescu, Warwick Tucker

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

March 15, 2014 by hgpu

Accelerating Java on Embedded GPU

Iype P. Joseph

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Tags: Computer science, Embedded high-performance computing, Java, OpenCL, Thesis

March 15, 2014 by hgpu

H-LU Factorization on Many-Core Systems

Ronald Kriemann

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Tags: Algorithms, Computer science, Factorization, Intel Xeon Phi

March 14, 2014 by hgpu

High Performance Non-Blocking Collective Communication for Next Generation Infiniband Clusters

Krishna Kandalla

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Tags: Benchmarking, Computer science, InfiniBand, Intel Xeon Phi, Linear Algebra, MPI

March 14, 2014 by hgpu

Fast Exact Hyper-Graph Matching with Dynamic Programming for Spatio-Temporal Data

Oya Celiktutan, Christian Wolf, Bulent Sankur, Eric Lombardi

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Tags: Algorithms, Computer science, Computer vision, CUDA, Graph theory, nVidia, nVidia GeForce GTS 450, nVidia GeForce GTX 580, Sorting

March 14, 2014 by hgpu

Visualizing Trends on Twitter

Cheng Hau Tong

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Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 680, Thesis, Visualization

March 13, 2014 by hgpu

The Flocking Based and GPU Accelerated Internet Traffic Classification

Zhiguang Xu

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Tags: Computer science, CUDA, Network communications, nVidia, nVidia GeForce GTX 480, Tesla C2070

March 13, 2014 by hgpu

Fast hydrodynamics on heterogenous many-core hardware

Allan Peter Engsig-Karup, Stefan L. Glimberg, Allan S. Nielsen, Ole Lindberg

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Tags: Computer science, CUDA, free surface, GPGPU, hydrodynamics, massively parallel computing, multigrid

March 12, 2014 by apek

Development of High-Performance Software Components for Emerging Architectures

Stefan Lemvig Glimberg, Allan Peter Engsig-Karup, Allan S. Nielsen, Bernd Dammann

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Source codes

Tags: Computer science, CUDA, GPGPU, iterative methods, Mathematics, multigrid, Package, parallel computing, Partial differential equations, Software development

March 12, 2014 by apek

Locality optimization on a NUMA architecture for hybrid LU factorization

Adrien Remy, Marc Baboulin, Masha Sosonkina, Brigitte Rozoy

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Tags: Algorithms, Computer science, CUDA, Factorization, Linear Algebra, nVidia, Tesla S2050

March 12, 2014 by hgpu

ParaCodex: A Profiling-Guided Autonomous Coding Agent for Reliable Parallel Code Generation and Translation

SeedFold: Scaling Biomolecular Structure Prediction

Tilus: A Tile-Level GPU Kernel Programming Language

Tilus: A Tile-Level GPGPU Programming Language for Low-Precision Computation

Memory-Efficient Acceleration of Block Low-Rank Foundation Models on Resource Constrained GPUs

BoltzGen:Toward Universal Binder Design

CUDA-L2: Surpassing cuBLAS Performance for Matrix Multiplication through Reinforcement Learning

cuPilot: A Strategy-Coordinated Multi-agent Framework for CUDA Kernel Evolution

MATLAB Tensor Core models

Accurate Models of NVIDIA Tensor Cores

TritonForge: Transform PyTorch Operations into Optimized GPU Kernels with LLMs

TritonForge: Profiling-Guided Framework for Automated Triton Kernel Optimization

RLTune: Hybrid Learning and Optimization-Based Dynamic Scheduling for DL Workloads on Heterogeneous GPU Clusters

Hybrid Learning and Optimization-Based Dynamic Scheduling for DL Workloads on Heterogeneous GPU Clusters

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high performance computing on graphics processing units: hgpu.org

CPU/GPGPU/HW comparison of an Eigenfaces face recognition system

Multi-GPU cluster wave propagation and OpenGL visualization

Searching for sinks of Henon map using a multiple-precision GPU arithmetic library

Accelerating Java on Embedded GPU

H-LU Factorization on Many-Core Systems

High Performance Non-Blocking Collective Communication for Next Generation Infiniband Clusters

Fast Exact Hyper-Graph Matching with Dynamic Programming for Spatio-Temporal Data

Visualizing Trends on Twitter

The Flocking Based and GPU Accelerated Internet Traffic Classification

Fast hydrodynamics on heterogenous many-core hardware

Development of High-Performance Software Components for Emerging Architectures

Locality optimization on a NUMA architecture for hybrid LU factorization

Recent source codes

ParaCodex: A Profiling-Guided Autonomous Coding Agent for Reliable Parallel Code Generation and Translation

SeedFold: Scaling Biomolecular Structure Prediction

Tilus: A Tile-Level GPU Kernel Programming Language

Memory-Efficient Acceleration of Block Low-Rank Foundation Models on Resource Constrained GPUs

BoltzGen:Toward Universal Binder Design

CUDA-L2: Surpassing cuBLAS Performance for Matrix Multiplication through Reinforcement Learning

cuPilot: A Strategy-Coordinated Multi-agent Framework for CUDA Kernel Evolution

MATLAB Tensor Core models

TritonForge: Transform PyTorch Operations into Optimized GPU Kernels with LLMs

RLTune: Hybrid Learning and Optimization-Based Dynamic Scheduling for DL Workloads on Heterogeneous GPU Clusters

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