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GPU-accelerated algorithms for many-particle continuous-time quantum walks

Enrico Piccinini, Claudia Benedetti, Ilaria Siloi, Matteo G. A. Paris, Paolo Bordone

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Tags: Algorithms, Benchmarking, Computational Physics, CUDA, nVidia, nVidia GeForce GTX 980, OpenMP, Physics, Quantum computing, Quantum Physics, Quantum walks, Tesla K40, Tesla K80, Tesla M2050

December 6, 2016 by hgpu

GPGPU based simulations for one and two dimensional quantum walks

Marek Sawerwain, Roman Gielerak

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Tags: Computational Physics, CUDA, nVidia, nVidia GeForce 9600 GT, nVidia GeForce GTX 280, Physics, Quantum walks

November 12, 2010 by hgpu

Face.evoLVe: High-Performance Face Recognition Library based on PyTorch & PaddlePaddle

Face.evoLVe: A High-Performance Face Recognition Library

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high performance computing on graphics processing units: hgpu.org

GPU-accelerated algorithms for many-particle continuous-time quantum walks

GPGPU based simulations for one and two dimensional quantum walks

Recent source codes

Face.evoLVe: High-Performance Face Recognition Library based on PyTorch & PaddlePaddle

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PULP: a (Parallel Ultra-Low-Power) open-source multi-core computing platform

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9th International Workshop on OpenCL and SYCL, 2021

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International Conference on Cyber Physical Systems and IoT (CPSIOT’20), 2020