high performance computing on graphics processing units: hgpu.org

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A Virtual Machine Model for Accelerating Relational Database Joins using a General Purpose GPU

Kevin Angstadt, Ed Harcourt

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Tags: Computer science, CUDA, Databases, nVidia, nVidia GeForce GTX 460, nVidia GeForce GTX 760

February 24, 2015 by hgpu

Accelerating Lagrangian Particle Dispersion in the Atmosphere with OpenCL across Multiple Platforms

Paul Harvey, Saji Hameed, Wim Vanderbauwhede

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Tags: AMD Radeon R9 290X, ATI, CUDA, Earth and Space Sciences, Intel Xeon Phi, nVidia, nVidia GeForce GTX 580, OpenCL, Tesla C2075, Tesla K20, Weather prediction

February 24, 2015 by hgpu

High Performance Computing of Meshless Time Domain Method on Multi-GPU Cluster

Soichiro Ikuno, Susumu Nakata, Yuta Hirokawa, Taku Itoh

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Tags: CUDA, FDTD, Finite difference, Finite-difference time-domain, GPU cluster, MPI, Numerical simulation, nVidia, Physics, Tesla M2090

February 23, 2015 by hgpu

Document Image Binarization Using Image Segmentation Algorithm in Parallel Environment

Prakash N Ekhande, Sharad A Rumane, Mayur A Ahire

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Tags: Algorithms, CUDA, Image processing, nVidia, OpenCV

February 23, 2015 by hgpu

Characterising Bipartite Graph Matching Algorithms on GPUs

Stanley Tsang

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Tags: Algorithms, Computer science, CUDA, Graph theory, nVidia, Tesla K20, Thesis

February 23, 2015 by hgpu

Investigation of the OpenCL SYCL Programming Model

Angelos Trigkas

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Tags: Computer science, Heterogeneous systems, Intel Xeon Phi, OpenCL, Thesis

February 23, 2015 by hgpu

Asynchronous OpenCL/MPI numerical simulations of conservation laws

Philippe Helluy, Thomas Strub, Michel Massaro, Malcolm Roberts

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Tags: ATI, ATI Radeon HD 7970, MPI, Numerical simulation, nVidia, OpenCL, Physics, Tesla K20

February 23, 2015 by hgpu

Stochastic Gradient Descent on GPUs

Rashid Kaleem, Sreepathi Pai, Keshav Pingali

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Tags: Algorithms, Computer science, Machine learning, nVidia, OpenCL, Performance, Tesla K40

February 22, 2015 by hgpu

High performance methods for frequent pattern mining

Lan Vu

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Tags: Computer science, CUDA, Data mining, Databases, nVidia, Tesla C2050, Thesis

February 22, 2015 by hgpu

Comparison of SPMV performance on matrices with different matrix format using CUSP, cuSPARSE and ViennaCL

Ang Li, Hammad Mazhar, Radu Serban, Dan Negrut

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Tags: Computer science, CUDA, Linear Algebra, nVidia, OpenCL, Performance, Python, Sparse matrix, Tesla K20

February 22, 2015 by hgpu

RSVDPACK: Subroutines for computing partial singular value decompositions via randomized sampling on single core, multi core, and GPU architectures

Sergey Voronin, Per-Gunnar Martinsson

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Tags: Algorithms, CUDA, CULA, Mathematical Software, Mathematics, Matrix decomposition, Numerical Analysis, nVidia, Package, Tesla M2070

February 22, 2015 by hgpu

Reproducible Triangular Solvers for High-Performance Computing

Roman Iakymchuk, David Defour, Sylvain Collange, Stef Graillat

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Tags: Algorithms, Computer science, Linear Algebra, nVidia, nVidia Quadro K5000, OpenCL, Package, Tesla K20

February 19, 2015 by hgpu

Tutoring LLM into a Better CUDA Optimizer

Adaptivity in AdaptiveCpp: Optimizing Performance by Leveraging Runtime Information During JIT-Compilation

Kernel Library for LLM Serving

Compiler and Runtime Systems for Generative AI Models

Neptune: Advanced ML Operator Fusion for Locality and Parallelism on GPUs

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high performance computing on graphics processing units: hgpu.org

Programming

A Virtual Machine Model for Accelerating Relational Database Joins using a General Purpose GPU

Accelerating Lagrangian Particle Dispersion in the Atmosphere with OpenCL across Multiple Platforms

High Performance Computing of Meshless Time Domain Method on Multi-GPU Cluster

Document Image Binarization Using Image Segmentation Algorithm in Parallel Environment

Characterising Bipartite Graph Matching Algorithms on GPUs

Investigation of the OpenCL SYCL Programming Model

Asynchronous OpenCL/MPI numerical simulations of conservation laws

Stochastic Gradient Descent on GPUs

High performance methods for frequent pattern mining

Comparison of SPMV performance on matrices with different matrix format using CUSP, cuSPARSE and ViennaCL

RSVDPACK: Subroutines for computing partial singular value decompositions via randomized sampling on single core, multi core, and GPU architectures

Reproducible Triangular Solvers for High-Performance Computing

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Tutoring LLM into a Better CUDA Optimizer

Adaptivity in AdaptiveCpp: Optimizing Performance by Leveraging Runtime Information During JIT-Compilation

Kernel Library for LLM Serving

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