high performance computing on graphics processing units: hgpu.org

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Parallel random variates generator for GPUs based on normal numbers

Gleb Beliakov, Michael Johnstone, Doug Creighton, Tim Wilkin

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Tags: Algorithms, Computer science, CUDA, Mathematical Software, Numerical Analysis, nVidia, Probability, Pseudo-random number generators, Tesla C2050

June 8, 2012 by hgpu

DMA-Assisted, Intranode Communication in GPU Accelerated Systems

Feng Ji, Ashwin M. Aji, James Dinan, Darius Buntinas, Pavan Balaji, Rajeev Thakur, Wu-Chun Feng, Xiaosong Ma

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Tags: Benchmarking, Computer science, CUDA, MPI, nVidia, Tesla M2070

June 6, 2012 by hgpu

Classical Mechanical Hard-Core Particles Simulated in a Rigid Enclosure using Multi-GPU Systems

D.P.Playne, K.A. Hawick

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Tags: Computer science, CUDA, GPU cluster, N-body simulation, nVidia, Tesla C2070

June 6, 2012 by hgpu

Parallel Spherical Harmonic Transforms on heterogeneous architectures (GPUs/multi-core CPUs)

Mikolaj Szydlarski, Pierre Esterie, Joel Falcou, Laura Grigori, Radek Stompor

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Tags: Algorithms, Astrophysics, Cluster computing, Computational Physics, Cosmology, Cosmology and Extragalactic Astrophysics, CUDA, Heterogeneous systems, MPI, nVidia, nVidia GeForce GTX 460, nVidia GeForce GTX 480, Tesla S1070

June 6, 2012 by hgpu

Using visualization to reveal weak cryptosystems

Eirik Eggesbo Ottesen

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Tags: Computer science, nVidia, nVidia GeForce GTX 460, nVidia GeForce GTX 560 Ti, nVidia GeForce GTX 570, nVidia GeForce GTX 680, Security, Thesis, Visualization

June 5, 2012 by hgpu

Hierarchical Partitioning Algorithm for Scientific Computing on Highly Heterogeneous CPU + GPU Clusters

David Clarke, Aleksandar Ilic, Alexey Lastovetsky, Leonel Sousa

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Tags: Computer science, CPU cluster, GPU cluster, Heterogeneous systems, Matrix multiplication, nVidia, Tesla C2050, Tesla T10

June 5, 2012 by hgpu

Landau Gauge Fixing on GPUs

Nuno Cardoso, Paulo J. Silva, Pedro Bicudo, Orlando Oliveira

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Source codes

Tags: Computational Physics, CUDA, High Energy Physics - Lattice, nVidia, Package, Physics, Tesla C2070

June 5, 2012 by hgpu

Platform 2012, a Many-Core Computing Accelerator for Embedded SoCs: Performance Evaluation of Visual Analytics Applications

Diego Melpignano, Luca Benini, Eric Flamand, Bruno Jego, Thierry Lepley, Germain Haugou, Fabien Clermidy, Denis Dutoit

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Tags: ARM, Computer science, Computer vision, nVidia, nVidia GeForce GTX 280, OpenCL, Performance

June 4, 2012 by hgpu

A Compiler and Runtime for Heterogeneous Computing

Joshua Auerbach, David F. Bacon, Ioana Burcea, Perry Cheng, Stephen J. Fink, Rodric Rabbah, Sunil Shukla

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Tags: Computer science, FPGA, Heterogeneous systems, Java, nVidia, nVidia GeForce GTX 580, OpenCL, Programming Languages

June 4, 2012 by hgpu

Finite Element Matrix Generation on a GPU

A. Dziekonski, P. Sypek, A. Lamecki, M. Mrozowski

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Tags: FEM, Finite element method, nVidia, OpenCL, Physics, Tesla C2075

June 4, 2012 by hgpu

Pipelining the Fast Multipole Method over a Runtime System

Emmanuel Agullo, Beranger Bramas, Olivier Coulaud, Eric Darve, Matthias Messner, Takahashi Toru

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Tags: Algorithms, Computer science, Fast multipole method, Heterogeneous systems, nVidia, Physics, Tesla M2070, Tesla M2090

June 4, 2012 by hgpu

High Accuracy Gravitational Waveforms from Black Hole Binary Inspirals Using OpenCL

Justin McKennon, Gary Forrester, Gaurav Khanna

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Tags: ATI, ATI Radeon HD 7970, Differential equations, General Relativity and Quantum Cosmology, Gravitation, Gravitational waves, nVidia, OpenCL, Partial differential equations, PDEs, Physics, Tesla C2050

June 4, 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

Parallel random variates generator for GPUs based on normal numbers

DMA-Assisted, Intranode Communication in GPU Accelerated Systems

Classical Mechanical Hard-Core Particles Simulated in a Rigid Enclosure using Multi-GPU Systems

Parallel Spherical Harmonic Transforms on heterogeneous architectures (GPUs/multi-core CPUs)

Using visualization to reveal weak cryptosystems

Hierarchical Partitioning Algorithm for Scientific Computing on Highly Heterogeneous CPU + GPU Clusters

Landau Gauge Fixing on GPUs

Platform 2012, a Many-Core Computing Accelerator for Embedded SoCs: Performance Evaluation of Visual Analytics Applications

A Compiler and Runtime for Heterogeneous Computing

Finite Element Matrix Generation on a GPU

Pipelining the Fast Multipole Method over a Runtime System

High Accuracy Gravitational Waveforms from Black Hole Binary Inspirals Using OpenCL

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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