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Parallel Medical Image Reconstruction: From Graphics Processors to Grids

Maraike Schellmann, Sergei Gorlatch, Dominik Meilander, Thomas Kosters, Klaus Schafers, Frank Wubbeling, Martin Burger

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Tags: Algorithms, Cell processor, Grid, Image reconstruction, Medicine, PET, PET scanning, Tomography

September 16, 2011 by hgpu

Graphics Processing Units and High-Dimensional Optimization

Hua Zhou, Kenneth Lange, Marc A. Suchard

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Tags: Block relaxation, CUBLAS, CUDA, EM and MM algorithms, Mathematics, Multidimensional scaling, Nonnegative matrix factorization, nVidia, nVidia GeForce GTX 280, PET scanning, Statistics

October 30, 2010 by hgpu

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

Inferring the Scheduling Policies of an Embedded CUDA GPU

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

Parallel Medical Image Reconstruction: From Graphics Processors to Grids

Graphics Processing Units and High-Dimensional Optimization

Recent source codes

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

Internally-maintained tool for examining GPU scheduling behavior

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

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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