Application optimization for GPU acceleration

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Mostrando 1 - 10 resultados de 17

2022

cuConv: CUDA implementation of convolution for CNN inference

Cluster Computing

M. Jorda, P. Valero-Lara, and A. J. Pena

2019

Improved Convolution Implementations on NVIDIA GPUs

9th Joint Laboratory for Extreme-Scale Computing Workshop (JLESC)

M. Jorda, P. Valero-Lara, and A. J. Pena
Filling the performance gap in convolution implementations for NVIDIA GPUs

GPU Technology Conference (GTC)

P. Valero-Lara, and A. J. Pena
Performance evaluation of cuDNN convolution algorithms on NVIDIA Volta GPUs

IEEE Access

M. Jorda, P. Valero-Lara, and A. J. Pena
Performance Evaluation of Fully Anisotropic Elastic Wave Propagation on NVIDIA Volta GPUs

81st EAGE Conference and Exhibition

A. Farrès, C. Rosas, M. Hanzich, M. Jorda, and A. J. Pena

2018

cuHinesBatch: Solving Multiple Hines systems on GPUs

2nd HBP Student Conference (HBPSC)

P. Valero-Lara, I. Martinez-Perez, A. J. Pena, X. Martorell, R. Sirvent, and J. Labarta
Automatic frequency scaling for embedded coprocessor acceleration

Workshop on Heterogeneous and Low-Power Data Center technologies (HeLP-DC)

A. J. Pena, and F. Mantovani
NVIDIA GPUs Scalability to Solve Multiple (Batch) Tridiagonal Systems Implementation of cuThomasBatch

Lecture Notes in Computer Science

P. Valero-Lara, I. Martinez-Perez, R. Sirvent, X. Martorell, and A. J. Pena
Simulating the behavior of the Human Brain on GPUs

Oil & Gas Science and Technology - Rev. IFP Energies nouvelles

P. Valero-Lara, I. Martinez-Perez, R. Sirvent, A. J. Pena, X. Martorell, and J. Labarta
cuThomasBatch and cuThomasVBatch, CUDA Routines to compute batch of tridiagonal systems on NVIDIA GPUs

Concurrency and Computation Practice and Experience

P. Valero-Lara, I. Martinez-Perez, R. Sirvent, X. Martorell, and A. J. Pena

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