high performance computing on graphics processing units: hgpu.org

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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

Neural network modeling on evolution of hydration reaction for Portland cement

Lin Wang, Bo Yang, Yuehui Chen, Xiuyang Zhao, Jun Chang, Haiyang Wang

Tags: Chemistry, Materials Science, Neural networks, Physics

June 20, 2011 by hgpu

A comparative study of GPU programming models and architectures using neural networks

Vivek Pallipuram, Mohammad Bhuiyan, Melissa Smith

Tags: ATI, Computer science, CUDA, Neural networks, nVidia, OpenCL, Performance, Tesla C2050

June 14, 2011 by hgpu

Parallel implementation of artificial neural network training

S. Scanzio, S. Cumani, R. Gemello, F. Mana, P. Laface

Tags: Acoustics, CUDA, Neural networks, nVidia, Signal processing, Speech recognition

June 14, 2011 by hgpu

CuParcone A High-Performance Evolvable Neural Network Model

Xiaoxi Chen, Lin Gao, Hugo de Garis

Tags: CUDA, Image processing, Image recognition, Neural networks, nVidia

June 14, 2011 by hgpu

Handwritten Digit Recognition with a Committee of Deep Neural Nets on GPUs

Dan C. Ciresan, Ueli Meier, Luca M. Gambardella, Jurgen Schmidhuber

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Tags: Artificial intelligence, Computer vision, Image processing, Image recognition, Neural networks, nVidia, nVidia GeForce GTX 480

June 10, 2011 by hgpu

Scene image classfying via the Partially Connected Neural Network

Li-lan Pan, Yue Zhang

Tags: Image processing, Image registration, Neural networks

June 6, 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

A 57mW embedded mixed-mode neuro-fuzzy accelerator for intelligent multi-core processor

Jinwook Oh, Junyoung Park, Gyeonghoon Kim, Seungjin Lee, Hoi-Jun Yoo

Tags: Artificial intelligence, ASIC, Computer science, Energy-efficient computing, Neural networks

May 4, 2011 by hgpu

Accelerating BP Neural Network-Based Image Compression by CPU and GPU Cooperation

Jinxian Lin, Jianghong Lin

Tags: Compression, Computer science, Image processing, Neural networks

May 3, 2011 by hgpu

GPU based Partially Connected Neural Evolutionary network and its application on gender recognition with face images

Xiao-Xi Chen, Ming-Hui Shi, H. de Garis

Tags: Computer science, Computer vision, CUDA, Image recognition, Neural networks, nVidia

April 30, 2011 by hgpu

Using parallel GPU architecture for simulation of planar I/F networks

Jan-Phillip Tiesel, Anthony S. Maida

Tags: Computer science, Neural networks, Shaders

April 23, 2011 by hgpu

GPUODEBenchmarks: Comparsion of Julia's GPU Kernel based ODE solvers with other open-source GPU ODE solvers

Automating Heterogeneous Parallelism in Numerical Differential Equations

Dat3M: Memory Model Aware Verification

Towards Unified Analysis of GPU Consistency

NVIDIA Federated Learning Application Runtime Environment

Supercharging Federated Learning with Flower and NVIDIA FLARE

Chat AI: A Seamless Slurm-Native Solution for HPC-Based Services

PSCToolkit: solving sparse linear systems with a large number of GPUs

CATBench: Benchmarking Framework

CATBench: A Compiler Autotuning Benchmarking Suite for Black-box Optimization

General-purpose Polyhedral Compilers

A Survey of General-purpose Polyhedral Compilers

Optimal Kernel Orchestration for Tensor Programs with Korch

Astaroth: A Scalable Multi-GPU Library for Stencil Computations

Stencil Computations on AMD and Nvidia Graphics Processors: Performance and Tuning Strategies

Bag of Tricks: Benchmarking of Jailbreak Attacks on LLMs. Empirical tricks for LLM Jailbreaking

Bag of Tricks: Benchmarking of Jailbreak Attacks on LLMs

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high performance computing on graphics processing units: hgpu.org

Towards reverse engineering the brain: Modeling abstractions and simulation frameworks

Neural network modeling on evolution of hydration reaction for Portland cement

A comparative study of GPU programming models and architectures using neural networks

Parallel implementation of artificial neural network training

CuParcone A High-Performance Evolvable Neural Network Model

Handwritten Digit Recognition with a Committee of Deep Neural Nets on GPUs

Scene image classfying via the Partially Connected Neural Network

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

A 57mW embedded mixed-mode neuro-fuzzy accelerator for intelligent multi-core processor

Accelerating BP Neural Network-Based Image Compression by CPU and GPU Cooperation

GPU based Partially Connected Neural Evolutionary network and its application on gender recognition with face images

Using parallel GPU architecture for simulation of planar I/F networks

Recent source codes

GPUODEBenchmarks: Comparsion of Julia's GPU Kernel based ODE solvers with other open-source GPU ODE solvers

Dat3M: Memory Model Aware Verification

NVIDIA Federated Learning Application Runtime Environment

Chat AI: A Seamless Slurm-Native Solution for HPC-Based Services

PSCToolkit: solving sparse linear systems with a large number of GPUs

CATBench: Benchmarking Framework

General-purpose Polyhedral Compilers

Optimal Kernel Orchestration for Tensor Programs with Korch

Astaroth: A Scalable Multi-GPU Library for Stencil Computations

Bag of Tricks: Benchmarking of Jailbreak Attacks on LLMs. Empirical tricks for LLM Jailbreaking

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