high performance computing on graphics processing units: hgpu.org

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Solving 3D incompressible Navier-Stokes equations on hybrid CPU/GPU systems

Yushan Wang, Marc Baboulin, Karl Rupp, Oliver Le Maitre, Yann Fraigneau

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Tags: CUDA, Finite difference, Fluid dynamics, Laplace and Poisson equation, Navier-Stokes equations, NSEs, nVidia, Poisson equation, Tesla C2075

September 4, 2014 by hgpu

CUDA method for the FDTD simulation by GPU

Wonhak Son

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Tags: CUDA, FDTD, Finite-difference time-domain, MPI, nVidia, nVidia GeForce GTX Titan, Physics, Thesis

September 4, 2014 by hgpu

New efficient integral algorithms for quantum chemistry

Jaime Axel Rosal Sandberg

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Tags: Algorithms, Chemistry, CUDA, nVidia, Thesis

September 3, 2014 by hgpu

GPU-accelerated Database Systems: Survey and Open Challenges

Sebastian Bress, Max Heimel, Norbert Siegmund, Ladjel Bellatreche, Gunter Saake

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Tags: Computer science, CUDA, Databases, nVidia, OpenCL

September 3, 2014 by hgpu

Detection of retransmissions in 10G Ethernet using GPUs

Paula Roquero Fuentes

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Tags: Algorithms, Computer science, CUDA, nVidia, Pthreads, Security, Tesla C2075, Thesis

September 3, 2014 by hgpu

Directive-Based Compilers for GPUs

Swapnil Ghike, Ruben Gran, Maria J. Garzaran, David Padua

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Tags: Code generation, Compilers, Computer science, CUDA, nVidia, OpenACC, Tesla X2090

September 2, 2014 by hgpu

LightPlay: Efficient Replay with GPUs

Min Feng, Farzad Khorasani, Rajiv Gupta, Laxmi N. Bhuyan

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX 780

September 2, 2014 by hgpu

Optimistic Parallelism on GPUs

Min Feng, Rajiv Gupta, Laxmi N. Bhuyan

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Tags: Computer science, CUDA, Data parallelism, nVidia, Performance, Tesla C1060

September 2, 2014 by hgpu

Heterogeneous Computing on Mixed Unstructured Grids with PyFR

F. D. Witherden, B. C. Vermeire, P. E. Vincent

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Source codes

Tags: AMD FirePro W9100, ATI, CUDA, Fluid dynamics, Heterogeneous systems, nVidia, OpenCL, Package, Tesla K40

September 2, 2014 by hgpu

Performance Evaluations of Graph Database using CUDA and OpenMP-Compatible Libraries

S. Morishima, H. Matsutani

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Tags: CUDA, Databases, nVidia, nVidia GeForce GTX 780 Ti, nVidia Quadro K600, OpenMP

September 1, 2014 by hgpu

Fast reconstruction of 3D volumes from 2D CT projection data with GPUs

M. Leeser, S. Mukherjee, J. Brock

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Tags: AMD, AMD Radeon HD 7970, Computed tomography, CT, CUDA, Heterogeneous systems, Medicine, nVidia, OpenCL, Tesla C2075

September 1, 2014 by hgpu

Scalable Kernel Fusion for Memory-Bound GPU Applications

Mohamed Wahib and Naoya Maruyama

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Tags: CUDA, Memory level parallelism, nVidia GeForce GTX 750 Ti, Tesla K20, Tesla K40

September 1, 2014 by wahibium

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

Solving 3D incompressible Navier-Stokes equations on hybrid CPU/GPU systems

CUDA method for the FDTD simulation by GPU

New efficient integral algorithms for quantum chemistry

GPU-accelerated Database Systems: Survey and Open Challenges

Detection of retransmissions in 10G Ethernet using GPUs

Directive-Based Compilers for GPUs

LightPlay: Efficient Replay with GPUs

Optimistic Parallelism on GPUs

Heterogeneous Computing on Mixed Unstructured Grids with PyFR

Performance Evaluations of Graph Database using CUDA and OpenMP-Compatible Libraries

Fast reconstruction of 3D volumes from 2D CT projection data with GPUs

Scalable Kernel Fusion for Memory-Bound GPU Applications

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Atlas CLI: Machine Learning (ML) Lifecycle & Transparency Manager

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NCCLX: collective communication framework

Tutoring LLM into a Better CUDA Optimizer

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

Kernel Library for LLM Serving

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

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