high performance computing on graphics processing units: hgpu.org

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Facial Recognition Using Neural Networks over GPGPU

Juan Pablo Balarini, Sergio Nesmachnow, Martin Rodriguez

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Tags: Computer science, Computer vision, CUDA, Neural networks, nVidia, nVidia GeForce GTS 450, nVidia GeForce GTX 480

November 18, 2012 by hgpu

Streaming Parallel GPU Acceleration of Large-Scale filter-based Spiking Neural Networks

Leszek Slazynski, Sander Bohte

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Tags: Algorithms, ATI, ATI Radeon HD 7950, Computer science, Neural networks, nVidia, nVidia GeForce GTX 470, OpenCL

October 9, 2012 by hgpu

Exploring Multi-level Parallelism for Large-Scale Spiking Neural Networks

Vivek K. Pallipuram, Melissa C. Smith, Nimisha Raut, Xiaoyu Ren

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Tags: Computer science, CUDA, GPU cluster, Heterogeneous systems, MPI, Neural networks, nVidia, Tesla M2070

September 23, 2012 by hgpu

Forecasting high frequency financial time series using parallel FFN with CUDA and ZeroMQ

Paola Arce, Cristian Maureira, Roberto Bonvallet, Cesar Fernandez

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Tags: Algorithms, CUBLAS, CUDA, Finance, Linear Algebra, Machine learning, Neural networks, nVidia, Tesla M2050

September 20, 2012 by hgpu

Simulating spiking neural networks on GPU

Romain Brett

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Source codes

Tags: Computer science, CUDA, Neural networks, nVidia, nVidia GeForce GTX 580, Package, Python, Review

September 19, 2012 by hgpu

Parallel Implementation of Moving Averages and Stock Market Prediction

John Jenq

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Tags: CUDA, Finance, Neural networks, nVidia, nVidia GeForce GT 550 M

September 16, 2012 by hgpu

High Performance Computing on Astrophysics with Artificial Intelligence Algorithms

Juan C. Cuevas-Tello

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Tags: Algorithms, Artificial intelligence, Astrophysics, CUDA, MPI, Neural networks, nVidia, nVidia GeForce 8800 GTX, nVidia GeForce GTX 470, Physics

September 16, 2012 by hgpu

CuNeuQuant: A CUDA Implementation of the NeuQuant Image Quantization Algorithm

David Bottisti, Liuva Mendez, Damian Dechev

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Tags: Algorithms, Computer vision, CUDA, Image processing, Neural networks, nVidia, nVidia GeForce 9800 GTX, Package

September 10, 2012 by hgpu

Intelligent Edge Detection using a CUDA Simulator of Multilayer Neural Network Based on Multi-Valued Neurons

Jeff Wilson, Igor Aizenberg

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Tags: CUDA, Edge detection, Image processing, Neural networks, nVidia, nVidia GeForce GTX 450, nVidia GeForce GTX 550 Ti

August 28, 2012 by hgpu

Spiking Neural Networks for Real-Time Infrared Images Processing in Thermo Vision Systems

Snejana Pleshkova

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Tags: Computer science, Computer vision, CUDA, Neural networks, nVidia, nVidia GeForce GTX 280

August 13, 2012 by hgpu

kANN on the GPU with Shifted Sorting

Shengren Li, Lance Simons, Jagadeesh Bhaskar Pakaravoor, Fatemeh Abbasinejad, John D. Owens, Nina Amenta

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Tags: Algorithms, Computer science, CUDA, Nearest neighbour, Neural networks, nVidia, nVidia GeForce GTX 480, Sorting

July 2, 2012 by hgpu

Improving GPU Simulations of Spiking Neural P Systems

Francis George C. Cabarle, Henry N. Adorna, Miguel A. Martinez-Del-Amor, Mario J. Perez-Jimenez

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Tags: Computer science, CUDA, Linear Algebra, Membrane computing, Neural networks, nVidia, P systems, Tesla C1060

June 25, 2012 by hgpu

torchPDLP: Primal-Dual Linear Programming in PyTorch. In collaboration with AMD and IPAM

Accelerating a Linear Programming Algorithm on AMD GPUs

Benchmarks for Dissecting CPU-GPU Unified Physical Memory on AMD MI300A APUs

Dissecting CPU-GPU Unified Physical Memory on AMD MI300A APUs

kvcached: Elastic KV cache for dynamic GPU sharing and efficient multi-LLM inference

Towards Efficient and Practical GPU Multitasking in the Era of LLM

Bandicoot: C++ library for GPU accelerated linear algebra

Bandicoot: A Templated C++ Library for GPU Linear Algebra

Luthier: Bridging Auto-Tuning and Vendor Libraries for Efficient Deep Learning Inference

Fused Kernel Library (FKL)

The Fused Kernel Library: A C++ API to Develop Highly-Efficient GPU Libraries

GPUHammer: Rowhammer Attacks on GPU Memories are Practical

Block: Balance Loader of LLM Serving with Context, Knowledge and Predictive Scheduling

Block: Balancing Load in LLM Serving with Context, Knowledge and Predictive Scheduling

SIGMo: Scalable Isomorphism Graph Matching on GPUs

SIGMo: High-Throughput Batched Subgraph Isomorphism on GPUs for Molecular Matching

DGEMM without FP64 Arithmetic - using FP64 Emulation and FP8 Tensor Cores with Ozaki Scheme

DGEMM without FP64 Arithmetic – using FP64 Emulation and FP8 Tensor Cores with Ozaki Scheme

See all packages

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high performance computing on graphics processing units: hgpu.org

Facial Recognition Using Neural Networks over GPGPU

Streaming Parallel GPU Acceleration of Large-Scale filter-based Spiking Neural Networks

Exploring Multi-level Parallelism for Large-Scale Spiking Neural Networks

Forecasting high frequency financial time series using parallel FFN with CUDA and ZeroMQ

Simulating spiking neural networks on GPU

Parallel Implementation of Moving Averages and Stock Market Prediction

High Performance Computing on Astrophysics with Artificial Intelligence Algorithms

CuNeuQuant: A CUDA Implementation of the NeuQuant Image Quantization Algorithm

Intelligent Edge Detection using a CUDA Simulator of Multilayer Neural Network Based on Multi-Valued Neurons

Spiking Neural Networks for Real-Time Infrared Images Processing in Thermo Vision Systems

kANN on the GPU with Shifted Sorting

Improving GPU Simulations of Spiking Neural P Systems

Recent source codes

torchPDLP: Primal-Dual Linear Programming in PyTorch. In collaboration with AMD and IPAM

Benchmarks for Dissecting CPU-GPU Unified Physical Memory on AMD MI300A APUs

kvcached: Elastic KV cache for dynamic GPU sharing and efficient multi-LLM inference

Bandicoot: C++ library for GPU accelerated linear algebra

Luthier: Bridging Auto-Tuning and Vendor Libraries for Efficient Deep Learning Inference

Fused Kernel Library (FKL)

GPUHammer: Rowhammer Attacks on GPU Memories are Practical

Block: Balance Loader of LLM Serving with Context, Knowledge and Predictive Scheduling

SIGMo: Scalable Isomorphism Graph Matching on GPUs

DGEMM without FP64 Arithmetic - using FP64 Emulation and FP8 Tensor Cores with Ozaki Scheme

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