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Lattice Quantum Chromodynamics on Intel Xeon Phi based supercomputers

Peter Labus
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April 26, 2017 by hgpu

Evaluation of GPU-based track-triggering for the CMS detector at CERN’s HL-LHC

Hannes Mohr
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April 20, 2017 by hgpu

Machines and Algorithms

Peter A Boyle
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February 7, 2017 by hgpu

GeantV: from CPU to accelerators

G. Amadio, A. Ananya, J. Apostolakis, A. Arora, M. Bandieramonte, A. Bhattacharyya, C. Bianchini, R. Brun, P. Canal, F. Carminati, L. Duhem, D. Elvira, A. Gheata, M. Gheata, I. Goulas, R. Iope, S. Jun, G. Lima, A. Mohanty, T. Nikitina, M. Novak, W. Pokorski, A. Ribon, R. Sehgal, O. Shadura, S. Vallecorsa, S. Wenzel, Y. Zhang
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December 3, 2016 by hgpu

Lattice QCD simulations using the OpenACC platform

Pushan Majumdar
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November 19, 2016 by hgpu

Recent source codes

Rgtsvm: Support Vector Machines on a GPU in R

Rgtsvm: Support Vector Machines on a GPU in R

Rgtsvm: Support Vector Machines on a GPU in R
Kapre: On-GPU Audio Preprocessing Layers for a Quick Implementation of Deep Neural Network Models with Keras

Kapre: On-GPU Audio Preprocessing Layers for a Quick Implementation of Deep Neural Network Models with Keras

Kapre: On-GPU Audio Preprocessing Layers for a Quick Implementation of Deep Neural Network Models with Keras
gloo: Collective communications library with various primitives for multi-machine training

gloo: Collective communications library with various primitives for multi-machine training

Accurate, Large Minibatch SGD: Training ImageNet in 1 Hour
MobiRNN: Efficient Recurrent Neural Network Execution on Mobile GPU

MobiRNN: Efficient Recurrent Neural Network Execution on Mobile GPU

MobiRNN: Efficient Recurrent Neural Network Execution on Mobile GPU
CELES: CUDA-accelerated electromagnetic scattering by large ensembles of spheres

CELES: CUDA-accelerated electromagnetic scattering by large ensembles of spheres

CELES: CUDA-accelerated simulation of electromagnetic scattering by large ensembles of spheres
Boda: A C++ Framework for Efficient Experiments in Computer Vision [WIP]

Boda: A C++ Framework for Efficient Experiments in Computer Vision [WIP]

Implementing Efficient, Portable Computations for Machine Learning
ESPRESO: Highly Parallel Solvers for Engineering Applications

ESPRESO: Highly Parallel Solvers for Engineering Applications

Intel Xeon Phi acceleration of Hybrid Total FETI solver
Parallel and in-process compilation of individuals for genetic programming on GPU

Parallel and in-process compilation of individuals for genetic programming on GPU

Parallel and in-process compilation of individuals for genetic programming on GPU
MECCA development in accelerators - KPP Fortran to CUDA source-to-source pre-processor

MECCA development in accelerators - KPP Fortran to CUDA source-to-source pre-processor

MEDINA: MECCA Development in Accelerators – KPP Fortran to CUDA source-to-source Preprocessor
Internally-maintained tool for examining GPU scheduling behavior

Internally-maintained tool for examining GPU scheduling behavior

Inferring the Scheduling Policies of an Embedded CUDA GPU
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