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Exploring the Limits of GPUs With Parallel Graph Algorithms

Frank Dehne, Kumanan Yogaratnam

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Tags: Computer science, CUDA, Data Structures and Algorithms, nVidia, nVidia GeForce GTX 260, Performance

November 12, 2010 by hgpu

Deterministic Sample Sort For GPUs

Frank Dehne, Hamidreza Zaboli

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Tags: Algorithms, Computational Complexity, Computer science, Data Structures and Algorithms, nVidia, nVidia GeForce GTX 260, nVidia GeForce GTX 285, Sorting

November 12, 2010 by hgpu

Measuring Bandwidth for Super Computer Workloads

A. Neela Madheswari, R. S. D. Wahida Banu

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Tags: Astrophysics, Computer science, Instrumentation and Methods for Astrophysics

November 12, 2010 by hgpu

Exact Sparse Matrix-Vector Multiplication on GPU’s and Multicore Architectures

Brice Boyer, Jean-Guillaume Dumas, Pascal Giorgi

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Tags: Computer science, CUDA, Mathematical Software, nVidia, nVidia GeForce GTX 280, OpenMP, Package, Sparse matrix, Symbolic Computation

November 11, 2010 by hgpu

A Flexible Patch-Based Lattice Boltzmann Parallelization Approach for Heterogeneous GPU-CPU Clusters

Christian Feichtinger, Johannes Habich, Harald Koestler, Georg Hager, Ulrich Ruede, Gerhard Wellein

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Tags: Computer science, CUDA, Lattice Boltzmann model, MPI, nVidia, Tesla C1060, Tesla S1070

November 11, 2010 by hgpu

Fully automatic extraction of salient objects from videos in near real-time

Akamine Kazuma, Ken Fukuchi, Akisato Kimura, Shigeru Takagi

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Tags: Computer science, Computer vision, CUDA, nVidia, nVidia GeForce 9800 GT, Pattern recognition

November 10, 2010 by hgpu

A GPU-based hyperbolic SVD algorithm

Vedran Novakovic, Sanja Singer

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Tags: Computer science, CUDA, Hyperbolic system, Mathematics, MPI, Numerical Analysis, nVidia, nVidia GeForce GTX 275, nVidia GeForce GTX 280, Tesla C1060

November 10, 2010 by hgpu

Faster Radix Sort via Virtual Memory and Write-Combining

Jan Wassenberg, Peter Sanders

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Tags: Algorithms, Computer science, Data Structures and Algorithms, nVidia, nVidia GeForce GTX 480, Sorting

November 10, 2010 by hgpu

How to obtain efficient GPU kernels: an illustration using FMM & FGT algorithms

Felipe A. Cruz, Simon K. Layton, Lorena A. Barba

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Tags: Computer science, CUDA, Fast summation methods, Mathematical Software, nVidia, Tesla C1060

November 9, 2010 by hgpu

Parallel Sparse Matrix Solver on the GPU Applied to Simulation of Electrical Machines

Antonio Wendell De Oliveira Rodrigues, Frederic Guyomarch, Yvonnick Le Menach, Jean-Luc Dekeyser

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Tags: Computer science, Conjugate gradient solver, CUDA, nVidia, nVidia GeForce GTX 280, Sparse matrix, Tesla C870

November 9, 2010 by hgpu

Fast Histograms using Adaptive CUDA Streams

Sisir Koppaka, Dheevatsa Mudigere, Srihari Narasimhan, Babu Narayanan

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Tags: Computer science, CUDA, nVidia, Performance

November 9, 2010 by hgpu

Rank k Cholesky Up/Down-dating on the GPU: gpucholmodV0.2

Christian Walder

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

November 9, 2010 by hgpu

HPCTransCompile: An AI Compiler Generated Dataset for High-Performance CUDA Transpilation and LLM Preliminary Exploration

Efficient Graph Embedding at Scale: Optimizing CPU-GPU-SSD Integration

Can Large Language Models Predict Parallel Code Performance?

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high performance computing on graphics processing units: hgpu.org

Exploring the Limits of GPUs With Parallel Graph Algorithms

Deterministic Sample Sort For GPUs

Measuring Bandwidth for Super Computer Workloads

Exact Sparse Matrix-Vector Multiplication on GPU’s and Multicore Architectures

A Flexible Patch-Based Lattice Boltzmann Parallelization Approach for Heterogeneous GPU-CPU Clusters

Fully automatic extraction of salient objects from videos in near real-time

A GPU-based hyperbolic SVD algorithm

Faster Radix Sort via Virtual Memory and Write-Combining

How to obtain efficient GPU kernels: an illustration using FMM & FGT algorithms

Parallel Sparse Matrix Solver on the GPU Applied to Simulation of Electrical Machines

Fast Histograms using Adaptive CUDA Streams

Rank k Cholesky Up/Down-dating on the GPU: gpucholmodV0.2

Recent source codes

HPCTransCompile: An AI Compiler Generated Dataset for High-Performance CUDA Transpilation and LLM Preliminary Exploration

chemtrain: Training Molecular Dynamics Potentials in JAX

microSYCL: SYCL micro-benchmarks repository

XaaS containers

SYCL Container

CASS: Cuda-Amd aSSembly

Cluser of smartphones for edge computing application using TensorFlow

CFAL-bench

Efficient Graph Embedding at Scale: Optimizing CPU-GPU-SSD Integration

Can Large Language Models Predict Parallel Code Performance?

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