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An Automated Video Surveillance System Using Viewpoint Feature Histogram and CUDA-enabled GPUs

Saurabh Jha, Priyank Trivedi

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Tags: Computer science, Computer vision, CUDA, nVidia, Tesla M2050

August 14, 2013 by hgpu

Exploiting the Parallelism of Heterogeneous Systems using Dataflow Graphs on Top of OpenCL

Lars Schor, Andreas Tretter, Tobias Scherer, Lothar Thiele

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Tags: ATI, ATI Radeon HD 7750, Computer science, Graph theory, Heterogeneous systems, nVidia, nVidia GeForce GTX 670, nVidia Quadro K 2000 M, OpenCL, Task scheduling

August 13, 2013 by hgpu

Speech Recognition on Multi-Core Processors and GPUs

Patrick Cardinal

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Tags: Algorithms, CUDA, nVidia, nVidia GeForce GTX 295, Signal processing, Speech recognition, Thesis

August 13, 2013 by hgpu

Executing Process Networks on Heterogeneous Platforms using OpenCL

Tobias Scherer

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Tags: ATI, ATI Radeon HD 7750, Computer science, Heterogeneous systems, nVidia, nVidia GeForce GTX 670, nVidia Quadro K 2000 M, OpenCL, Thesis

August 13, 2013 by hgpu

Achieving Speedup in Aggregate Risk Analysis using Multiple GPUs

A. K. Bahl, O. Baltzer, A. Rau-Chaplin, B. Varghese, A. Whiteway

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Tags: Algorithms, Computer science, CUDA, Finance, nVidia, Risk Management, Stochastic simulation, Tesla C2075, Tesla M2090

August 13, 2013 by hgpu

GPU Computing in Discrete Optimization. Part II: Survey Focused on Routing Problems

Christian Schulz, Geir Hasle, Andre R. Brodtkorb, Trond R. Hagen

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Tags: Algorithms, Computer science, CUDA, Heterogeneous systems, nVidia, nVidia GeForce GTX 480, Optimization, Tutorial

August 12, 2013 by hgpu

GPU Computing in Discrete Optimization. Part I: Introduction to the GPU

Andre R. Brodtkorb, Trond R. Hagen, Christian Schulz, Geir Hasley

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Tags: Algorithms, Computer science, CUDA, Heterogeneous systems, nVidia, nVidia GeForce GTX 480, Optimization, Tutorial

August 12, 2013 by hgpu

Parallel Simulations for Analysing Portfolios of Catastrophic Event Risk

Aman Bahl, Oliver Baltzer, Andrew Rau-Chaplin, Blesson Varghese

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Tags: Algorithms, Computational Engineering, Computer science, CUDA, Finance, Monte Carlo simulation, nVidia, Stochastic simulation, Tesla C2075

August 12, 2013 by hgpu

Molecular Dynamics Simulation of Multi-Scale Flows on GPUs

S. Mulla, S. Ivekovic, J.M. Reese

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Tags: Biology, Chemistry, CUDA, Molecular dynamics, nVidia, OpenCL, Tesla M2075

August 12, 2013 by hgpu

A Memory Efficient Algorithm for Adaptive Multidimensional Integration with Multiple GPUs

Kamesh Arumugam, Alexander Godunov, Desh Ranjan, Balsa Terzic, Mohammad Zubair

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Tags: Algorithms, Computer science, CUDA, Mathematics, MPI, nVidia, Optimization, Package, Tesla M2090

August 12, 2013 by hgpu

A Parallel Algorithm for Calculation of Large Determinants with High Accuracy for GPUs and MPI clusters

Gleb Beliakov, Yuri Matiyasevich

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Tags: Algorithms, Computer science, CUDA, Mathematical Software, MPI, Number Theory, Numerical Analysis, nVidia, Tesla C2070

August 12, 2013 by hgpu

Heterogeneous Computing for Real-Time Stereo Matching

A. AL-Marakeby, M. Zaki

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Tags: Algorithms, Computer science, Computer vision, CUDA, Heterogeneous systems, nVidia, nVidia GeForce GT 610 M, Stereo vision

August 10, 2013 by hgpu

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

Nsight Python: a Python kernel profiling interface based on NVIDIA Nsight Tools

Nsight Python: A Python-First Profiling Toolkit for Seamless GPU Kernel Analysis (Tool)

Awesome LLM-Driven Kernel Generation

Towards Automated Kernel Generation in the Era of LLMs

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high performance computing on graphics processing units: hgpu.org

An Automated Video Surveillance System Using Viewpoint Feature Histogram and CUDA-enabled GPUs

Exploiting the Parallelism of Heterogeneous Systems using Dataflow Graphs on Top of OpenCL

Speech Recognition on Multi-Core Processors and GPUs

Executing Process Networks on Heterogeneous Platforms using OpenCL

Achieving Speedup in Aggregate Risk Analysis using Multiple GPUs

GPU Computing in Discrete Optimization. Part II: Survey Focused on Routing Problems

GPU Computing in Discrete Optimization. Part I: Introduction to the GPU

Parallel Simulations for Analysing Portfolios of Catastrophic Event Risk

Molecular Dynamics Simulation of Multi-Scale Flows on GPUs

A Memory Efficient Algorithm for Adaptive Multidimensional Integration with Multiple GPUs

A Parallel Algorithm for Calculation of Large Determinants with High Accuracy for GPUs and MPI clusters

Heterogeneous Computing for Real-Time Stereo Matching

Recent source codes

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

Nsight Python: a Python kernel profiling interface based on NVIDIA Nsight Tools

Awesome LLM-Driven Kernel Generation

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