high performance computing on graphics processing units: hgpu.org

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Performance models for CPU-GPU data transfers

B. van Werkhoven, J. Maassen, F.J. Seinstra, H.E. Bal

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Tags: Computer science, CUDA, nVidia GeForce GTX 680, nVidia GeForce GTX Titan, PCIe, Performance, Performance prediction, Tesla K20

June 5, 2014 by bennotsi

CLBlast: Tuned OpenCL BLAS

CLBlast: A Tuned OpenCL BLAS Library

Open source implementation of the PAAC algorithm presented in Efficient Parallel Methods for Deep Reinforcement Learning

Efficient Parallel Methods for Deep Reinforcement Learning

IDA*

Block-Parallel IDA* for GPUs

Repository for 1D Swept rule scheme written in CUDA C

Accelerating solutions of PDEs with GPU-based swept time-space decomposition

DeepMetabolism: a deep learning algorithm to predict phenotype from genome sequencing

DeepMetabolism: A Deep Learning System to Predict Phenotype from Genome Sequencing

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high performance computing on graphics processing units: hgpu.org

Performance models for CPU-GPU data transfers

Recent source codes

CLBlast: Tuned OpenCL BLAS

Open source implementation of the PAAC algorithm presented in Efficient Parallel Methods for Deep Reinforcement Learning

IDA*

Repository for 1D Swept rule scheme written in CUDA C

DeepMetabolism: a deep learning algorithm to predict phenotype from genome sequencing

OpenDwarfs

parallel-si: Efficient Parallel Strategy Improvement for Parity Games

AVX-512 sort functions

Astrix: AStrophysical fluid dynamics on TRIangular eXtreme grids

CUDA Tensor Transpose (cuTT) library

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4th International Conference on Biomedical and Bioinformatics Engineering (ICBBE), 2017

9th International Conference on Signal Processing Systems (ICSPS), 2017

The 5th International conference on Control, Mechatronics and Automation (ICCMA), 2017

8th International Conference on Biology, Environment and Chemistry (ICBEC), 2017

2nd International Conference on Communication and Information Systems (ICCIS), 2017