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Neurokernel: An Open Scalable Software Framework for Emulation and Validation of Drosophila Brain Models on Multiple GPUs

Lev E. Givon, Aurel A. Lazar

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Tags: Biology, CUDA, Neuroscience, nVidia, Package, Python

November 18, 2013 by hgpu

A Novel CPU/GPU Simulation Environment for Large-Scale Biologically-Realistic Neural Modeling

Roger V. Hoang, Devyani Tanna, Laurence C. Jayet Bray, Sergiu M. Dascalu, Frederick C. Harris Jr.

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Tags: Biology, CUDA, Neural networks, Neuroscience, nVidia, nVidia GeForce GTX 460, nVidia GeForce GTX 480, nVidia GeForce GTX 680, Package, Tesla C2050

September 14, 2013 by hgpu

GPU-based simulation of brain neuron models

H. A. Du Nguyen

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Tags: CUDA, Neural networks, Neuroscience, nVidia, nVidia GeForce GT 640, Review, Tesla C2075, Thesis

September 7, 2013 by hgpu

GPU-Accelerated Interactive Visualization and Planning of Neurosurgical Interventions

Mario Rincon-Nigro, Nikhil V. Navkar, Nikolaos V. Tsekos, Zhigang Deng

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Tags: Computer science, CUDA, Medicine, Neuroscience, nVidia, nVidia GeForce GTX 480, Visualization

April 12, 2013 by hgpu

CUDAICA: GPU optimization of Infomax-ICA EEG analysis

Federico Raimondo, Juan Kamienkowski, Mariano Sigman, Diego Fernandez Slezak

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Tags: Algorithms, Biology, CUBLAS, CUDA, Linear Algebra, Matrix multiplication, Neuroscience, nVidia, nVidia GeForce GTX 560, Package, Tesla C2070

June 11, 2012 by hgpu

A Massively Parallel Approach for Nonlinear Interdependency Analysis of Multivariate Signals with GPGPU

Dan Chen, Lizhe Wang, Dong Cui, Dongchuan Lu, Xiaoli Li, Samee U. Khan, Joanna Kolodziej

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Tags: CUDA, Medicine, Neuroscience, nVidia, nVidia GeForce GTX 580

March 29, 2012 by hgpu

Accelerating large-scale simulations of cortical neuronal network development

Fumitaka Kawasaki, Michael Stiber

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Tags: CNN, Computer science, CUDA, Neural networks, Neuroscience, nVidia, Tesla C1060

March 23, 2012 by hgpu

An Efficient Simulation Environment for Modeling Large-Scale Cortical Processing

Micah Richert, Jayram Moorkanikara Nageswaran, Nikil Dutt, Jeffrey L. Krichmar

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Tags: Biology, CUDA, Neural networks, Neuroscience, nVidia, Package, Tesla C1060

December 19, 2011 by hgpu

Parallel Mining of Neuronal Spike Streams on Graphics Processing Units

Yong Cao, Debprakash Patnaik, Sean Ponce, Jeremy Archuleta, Patrick Butler, Wu-chun Feng, Naren Ramakrishnan

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Tags: Algorithms, Computer science, CUDA, Data mining, Neuroscience, nVidia, nVidia GeForce GTX 280

December 17, 2011 by hgpu

A Novel Multi-GPU Neural Simulator

C. M. Thibeault, R. Hoang, F. C. Harris Jr.

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Tags: Biology, Biophysics, CUDA, Neuroscience, nVidia, nVidia GeForce GTX 480

December 14, 2011 by hgpu

Real-time intraoperative full-range complex FD-OCT guided cerebral blood vessel identification and brain tumor resection in neurosurgery

Kang Zhang, Yong Huang, Gustavo Pradilla, Betty Tyler, Jin U. Kang

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Tags: CUDA, Medicine, Neuroscience, nVidia, nVidia GeForce GTX 480, Tomography, Visualization

December 10, 2011 by hgpu

Fast extraction of neuron morphologies from large-scale SBFSEM image stacks

Stefan Lang, Panos Drouvelis, Enkelejda Tafaj, Peter Bastian, Bert Sakmann

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Tags: Algorithms, Biology, CUDA, Electron microscopy, Image processing, Microscopy, Neuroscience, nVidia, Tesla C1060

December 8, 2011 by hgpu

Over-synchronization in GPU Programs

profile_util: simple C++ library to report memory, timing, thread affinity

Profile Util library: A quick and easy way to get MPI, OpenMP and GPU runtime information

MaC: Mamba CPU performance predictor

MambaCPU: Enhanced Correlation Mining with State Space Models for CPU Performance Prediction

Mixed-precision finite element kernels

Mixed-precision finite element kernels and assembly: Rounding error analysis and hardware acceleration

SHMT: The Simultaneous and Heterogenous Multithreading project

General-Purpose Computing on Tensor Processors

Superpipeline: A Universal Approach for Reducing GPU Memory Usage in Large Models

EnergyUCB-Bandit

Online Energy Optimization in GPUs: A Multi-Armed Bandit Approach

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high performance computing on graphics processing units: hgpu.org

Neurokernel: An Open Scalable Software Framework for Emulation and Validation of Drosophila Brain Models on Multiple GPUs

A Novel CPU/GPU Simulation Environment for Large-Scale Biologically-Realistic Neural Modeling

GPU-based simulation of brain neuron models

GPU-Accelerated Interactive Visualization and Planning of Neurosurgical Interventions

CUDAICA: GPU optimization of Infomax-ICA EEG analysis

A Massively Parallel Approach for Nonlinear Interdependency Analysis of Multivariate Signals with GPGPU

Accelerating large-scale simulations of cortical neuronal network development

An Efficient Simulation Environment for Modeling Large-Scale Cortical Processing

Parallel Mining of Neuronal Spike Streams on Graphics Processing Units

A Novel Multi-GPU Neural Simulator

Real-time intraoperative full-range complex FD-OCT guided cerebral blood vessel identification and brain tumor resection in neurosurgery

Fast extraction of neuron morphologies from large-scale SBFSEM image stacks

Recent source codes

Kokkidio: Kokkos+Eigen - write fast, readable multi-platform code

LLaMA-Inference-Bench

MATAR

Over-synchronization in GPU Programs

profile_util: simple C++ library to report memory, timing, thread affinity

MaC: Mamba CPU performance predictor

Mixed-precision finite element kernels

SHMT: The Simultaneous and Heterogenous Multithreading project

Superpipeline: A Universal Approach for Reducing GPU Memory Usage in Large Models

EnergyUCB-Bandit

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