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Flexible neuronal network simulation framework using code generation for NVidia CUDA

Thomas Nowotny

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Tags: Bioinformatics, Biology, CUDA, Neural networks, Neuroscience, nVidia, nVidia Quadro FX 5800, Poster

October 26, 2011 by hgpu

Democratic Population Decisions Result in Robust Policy-Gradient Learning: A Parametric Study with GPU Simulations

Paul Richmond, Lars Buesing, Michele Giugliano, Eleni Vasilaki

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Source codes

Tags: Biology, CUDA, Neuroscience, nVidia, nVidia GeForce GTX 480, Package, Python

October 5, 2011 by hgpu

Hybrid Visualization for White Matter Tracts using Triangle Strips and Point Sprites

Dorit Merhof, Markus Sonntag, Frank Enders, Christopher Nimsky, Peter Hastreiter, Gunther Greiner

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Tags: Computer science, Diffusion tensor, GLSL, MRI, Neuroscience, nVidia, nVidia GeForce 6800 Ultra, OpenGL, Rendering, Visualization

July 20, 2011 by hgpu

Towards reverse engineering the brain: Modeling abstractions and simulation frameworks

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

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Tags: Computer science, Neural Computing, Neural networks, Neuroscience

July 4, 2011 by hgpu

Acceleration of spiking neural networks in emerging multi-core and GPU architectures

Mohammad A. Bhuiyan, Vivek K. Pallipuram, Melissa C. Smith

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Tags: Biology, CUDA, Neural networks, Neuroscience, nVidia, Tesla C870

May 28, 2011 by hgpu

Making Human Connectome Faster: GPU Acceleration of Brain Network Analysis

Di Wu, Tianji Wu, Yi Shan, Yu Wang, Yong He, Ningyi Xu, Huazhong Yang

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Tags: ATI, ATI IL, ATI Radeon HD 5870, ATI Stream, Medicine, Neurons and Cognition, Neuroscience

April 26, 2011 by hgpu

GP-GPU: Bridging the Gap between Modelling & Experimentation

T.F. Clayton, A.F. Murray, I. Lindsay

Tags: Biology, Neuroscience

April 16, 2011 by hgpu

Enabling Energy-Efficient Analysis of Massive Neural Signals Using GPGPU

Dan Chen, Lizhe Wang, Shuaiting Wang, Muzhou Xiong, Gregor von Laszewski, Xiaoli Li

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Tags: Biology, CUDA, Medicine, Neuroscience, nVidia, nVidia GeForce GTX 295, Signal processing

April 5, 2011 by hgpu

Neuromorphic models on a GPGPU cluster

Bing Han, T.M. Taha

Tags: Biology, GPU cluster, MPI, Neuroscience, nVidia, Tesla S1070

April 5, 2011 by hgpu

GPGPU implementation of a synaptically optimized, anatomically accurate spiking network simulator

Ruggero Scorcioni

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Tags: Biology, CUDA, Neuroscience, nVidia

April 4, 2011 by hgpu

GPU-based Multi-Volume Rendering of Complex Data in Neuroscience and Neurosurgery

Johanna Beyer

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Tags: Computed tomography, Computer science, CT, CUDA, Medicine, Neuroscience, nVidia, nVidia GeForce GTX 280, Rendering, Visualization

February 13, 2011 by hgpu

Towards chip-on-chip neuroscience: fast mining of neuronal spike streams using graphics hardware

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

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

January 2, 2011 by hgpu

gpu_tracker: Context manager and CLI that tracks the computational-resource-usage of a code block or shell command, particularly the GPU usage

gpu_tracker: Python package for tracking and profiling GPU utilization in both desktop and high-performance computing environments

LOOPer: a polyhedral compiler for expressing fast and portable data parallel algorithms

LOOPer: A Learned Automatic Code Optimizer For Polyhedral Compilers

OpenMC Monte Carlo Code

Performance Portable Monte Carlo Particle Transport on Intel, NVIDIA, and AMD GPUs

Polygeist: C/C++ frontend for MLIR

Retargeting and Respecializing GPU Workloads for Performance Portability

Parallel Gaussian process with kernel approximation in CUDA

Optical flow algorithms for SYCL

SYCL in the edge: performance and energy evaluation for heterogeneous acceleration

OpenMP5-Offload-OpenMC-Intel-PVC

Distributed OpenMP Offloading of OpenMC on Intel GPU MAX Accelerators

See all packages

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high performance computing on graphics processing units: hgpu.org

Flexible neuronal network simulation framework using code generation for NVidia CUDA

Democratic Population Decisions Result in Robust Policy-Gradient Learning: A Parametric Study with GPU Simulations

Hybrid Visualization for White Matter Tracts using Triangle Strips and Point Sprites

Towards reverse engineering the brain: Modeling abstractions and simulation frameworks

Acceleration of spiking neural networks in emerging multi-core and GPU architectures

Making Human Connectome Faster: GPU Acceleration of Brain Network Analysis

GP-GPU: Bridging the Gap between Modelling & Experimentation

Enabling Energy-Efficient Analysis of Massive Neural Signals Using GPGPU

Neuromorphic models on a GPGPU cluster

GPGPU implementation of a synaptically optimized, anatomically accurate spiking network simulator

GPU-based Multi-Volume Rendering of Complex Data in Neuroscience and Neurosurgery

Towards chip-on-chip neuroscience: fast mining of neuronal spike streams using graphics hardware

Recent source codes

QArray

Celerity: High-level C++ for Accelerator Clusters

CIFAR-10 Airbench: 94% on CIFAR-10 in 3.29 second

gpu_tracker: Context manager and CLI that tracks the computational-resource-usage of a code block or shell command, particularly the GPU usage

LOOPer: a polyhedral compiler for expressing fast and portable data parallel algorithms

OpenMC Monte Carlo Code

Polygeist: C/C++ frontend for MLIR

Parallel Gaussian process with kernel approximation in CUDA

Optical flow algorithms for SYCL

OpenMP5-Offload-OpenMC-Intel-PVC

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