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Nengo: a Python tool for building large-scale functional brain models

Trevor Bekolay, James Bergstra, Eric Hunsberger, Travis DeWolf, Terrence C. Stewart, Daniel Rasmussen, Xuan Choo, Aaron Russell Voelker, Chris Eliasmith

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Tags: ATI, ATI Radeon HD 7970, Biology, Neuroscience, nVidia, nVidia GeForce GTX 280, OpenCL, Package, PyOpenCL, Python

January 9, 2014 by hgpu

On-the-fly Generation and Rendering of Infinite Cities on the GPU

Markus Steinberger, Michael Kenzel, Bernhard Kainz, Peter Wonka, Dieter Schmalstieg

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Tags: 3D Graphics and Realism, Computer science, CUDA, nVidia, nVidia Quadro 6000, OpenGL, Rendering

January 9, 2014 by hgpu

Efficient Emission Computation in Hidden Semi-Markov Models on Diverse Hardware

Greg Durrett, Taylor Berg-Kirkpatrick

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Tags: Algorithms, Computer science, CUDA, Image recognition, nVidia, nVidia GeForce GTX 580

January 9, 2014 by hgpu

Real Time KAP Systems for Image Enhancement/Reconstruction of Remote Sensing Imagery

A. Castillo Atoche, O. Palma Marrufo, R. Quijano Cetina, A. Espinosa-Romero, M. Maya Mendez

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Tags: Algorithms, CUDA, Image processing, nVidia, nVidia GeForce GTS 450, Sensing

January 9, 2014 by hgpu

Fast Effective Deterministic Primality Test Using CUDA/GPGPU

Abu Asaduzzaman, Anindya Maiti, Chok M. Yip

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Tags: Algorithms, Computer science, CUDA, nVidia, Security, Tesla C2075

January 9, 2014 by hgpu

Multicore Computing: Algorithms, Architectures, and Applications

Sanguthevar Rajasekaran, Lance Fiondella, Mohamed Ahmed, Reda A. Ammar

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Tags: Algorithms, Biology, Book, Computer science, CUDA, Linear Algebra, nVidia, String matching, Tesla

January 6, 2014 by hgpu

Conditional component composition for GPU-based systems

Usman Dastgeer, Christoph W. Kessler

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Tags: Computer science, CUDA, nVidia, Performance, Tesla C2050

January 6, 2014 by hgpu

The Parallel Bayesian Toolbox for High-performance Bayesian Filtering in Metrology

E. Garcia, T. Hausotte

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Tags: Algorithms, Bayesian, CUDA, Filtering, nVidia, Package, Particle filtering, Physics, Probability, Tesla C2075

January 6, 2014 by hgpu

Parallel numerical simulation of two-phase flow model in porous media using distributed and shared memory architectures

Luis Miguel de la Cruz, Daniel Monsivais

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Tags: Compression, CUDA, Finite volume method, Fluid dynamics, Numerical simulation, nVidia, Physics, Tesla M4050

January 6, 2014 by hgpu

PySPH: A Python framework for SPH

Kunal Puri, Prabhu Ramachandran, Pankaj Pandey, Chandrashekhar Kaushik, Pushkar Godbole

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Tags: Fluid dynamics, OpenCL, Package, Python

January 6, 2014 by hgpu

GLSL Essentials

Jacobo Rodriguez

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Tags: 3D Graphics and Realism, Book, Computer science, GLSL, OpenGL, Rendering, Tutorial

January 5, 2014 by hgpu

Real-Time Radio Wave Propagation for Mobile Ad-Hoc Network Emulation using GPGPUs

Brian J. Henz, David Richie, Evens Jean, Song Jun Park, James A. Ross, Dale R. Shires

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Tags: Algorithms, ATI, ATI Radeon HD 5870, ATI Radeon HD 6970, nVidia, OpenCL, Raytracing, Signal processing, Tesla C2070

January 5, 2014 by hgpu

CL4SE: A Context Learning Benchmark For Software Engineering Tasks

CodeScaler: Scaling Code LLM Training and Test-Time Inference via Execution-Free Reward Models

A Safety Report on GPT-5.2, Gemini 3 Pro, Qwen3-VL, Grok 4.1 Fast, Nano Banana Pro, and Seedream 4.5

DICE: Diffusion Large Language Models Excel at Generating CUDA Kernels

KernelGYM & Dr. Kernel: A distributed GPU environment and a collection of RL training methods to support RL for Kernel Generations

Dr. Kernel: Reinforcement Learning Done Right for Triton Kernel Generations

Theorizer: from the paper Generating Literature-Driven Scientific Discoveries at Scale

Generating Literature-Driven Scientific Theories at Scale

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high performance computing on graphics processing units: hgpu.org

Applications

Nengo: a Python tool for building large-scale functional brain models

On-the-fly Generation and Rendering of Infinite Cities on the GPU

Efficient Emission Computation in Hidden Semi-Markov Models on Diverse Hardware

Real Time KAP Systems for Image Enhancement/Reconstruction of Remote Sensing Imagery

Fast Effective Deterministic Primality Test Using CUDA/GPGPU

Multicore Computing: Algorithms, Architectures, and Applications

Conditional component composition for GPU-based systems

The Parallel Bayesian Toolbox for High-performance Bayesian Filtering in Metrology

Parallel numerical simulation of two-phase flow model in porous media using distributed and shared memory architectures

PySPH: A Python framework for SPH

GLSL Essentials

Real-Time Radio Wave Propagation for Mobile Ad-Hoc Network Emulation using GPGPUs

Recent source codes

CL4SE: A Context Learning Benchmark For Software Engineering Tasks

CodeScaler: Scaling Code LLM Training and Test-Time Inference via Execution-Free Reward Models

A Safety Report on GPT-5.2, Gemini 3 Pro, Qwen3-VL, Grok 4.1 Fast, Nano Banana Pro, and Seedream 4.5

DICE: Diffusion Large Language Models Excel at Generating CUDA Kernels

KernelGYM & Dr. Kernel: A distributed GPU environment and a collection of RL training methods to support RL for Kernel Generations

Vortex-Optimized Light-weight Toolchain (VOLT)

SciDef: Automated Definition Extraction from Scientific Literature

bioagent-bench: Benchmark for evaluating LLM agents in bioinformatics

Benchmark suite for LLM inference on NVIDIA consumer GPUs

Theorizer: from the paper Generating Literature-Driven Scientific Discoveries at Scale

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