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A Fast Jet Finder Algorithm Using Graphic Processing Unit

Raman Sehgal, A. K. Mohanty

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Tags: Algorithms, CUDA, Jets, Nuclear physics, nVidia, nVidia GeForce GT 520, Physics

January 16, 2012 by hgpu

Thread-Scalable Evaluation of Multi-Jet Observables

Walter Giele, Gerben Stavenga, Jan-Christopher Winter

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Tags: CUDA, Hadronic Colliders, High Energy Physics - Phenomenology, Jets, LO Computations, nVidia, Package, Physics, QCD, Tesla C1060

November 2, 2010 by hgpu

EASYPAP: a Framework for Learning Parallel Programming

LOGAN: High-Performance GPU-Based X-Drop Long-Read Alignment

Interoperable GPU Kernels as Latency Improver for MEC

MNN: a lightweight deep neural network inference engine

An Image Enhancing Pattern-based Sparsity for Real-time Inference on Mobile Devices

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high performance computing on graphics processing units: hgpu.org

A Fast Jet Finder Algorithm Using Graphic Processing Unit

Thread-Scalable Evaluation of Multi-Jet Observables

Recent source codes

EASYPAP: a Framework for Learning Parallel Programming

LOGAN: High-Performance GPU-Based X-Drop Long-Read Alignment

StarNEig: A Task-based Library for Solving Nonsymmetric Eigenvalue Problems

FLAMEGPU: a high performance GPU extension to the FLAME framework

CommAnalyzer

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reproducibility of TensorFlow with ResNet

SCHNAPS

Interoperable GPU Kernels as Latency Improver for MEC

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8th International Workshop on OpenCL, including SYCLCon, 2019

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International Conference on Frontiers of Neural Networks (ICFNN), 2019