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An Approach for Traffic Forecast with GPU Computing & Cellular Automata Model

Marcelo Zamith, Mark Joselli, Jose Ricardo Silva Junior, Regina Celia P. Leal-Toledo, Esteban Clua, Eduardo Soluri

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Tags: Cellular automata, Computer science, CUDA, nVidia, Vehicular traffic

October 23, 2012 by hgpu

A (ir)regularity-aware task scheduler for heterogeneous platforms

Artur Mariano, Ricardo Alves, Joao Barbosa, Luis Paulo Santos, Alberto Proenca

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Tags: Computer science, CUDA, FFT, Heterogeneous systems, nVidia, nVidia GeForce GTX 580, Task scheduling

October 22, 2012 by hgpu

Hybrid MPI/GPU Interpolation for Grid DEM Construction

Andrew Danner, Jake Baskin, Alexander Breslow, David Wilikofsky

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Tags: Computer science, CUDA, MPI, Nearest neighbour, nVidia, Performance, Sensing, Tesla M2070

October 22, 2012 by hgpu

Streaming Dynamic Coarse-Grained CPU/GPU Workloads with Heterogeneous Pipelines in FastFlow

Mehdi Goli, Michael T. Garba, Horacio Gonzalez-Velez

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Tags: Computer science, CUDA, Heterogeneous systems, Linear Algebra, nVidia, Tesla M2090

October 22, 2012 by hgpu

Stereo Matching using Multi-Resolution Images on CUDA

Sudhakar Sah, Nikhil Jotwani

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Tags: CUDA, FPGA, Image processing, nVidia, nVidia GeForce GTX 480

October 22, 2012 by hgpu

The impact of GPU/Multicore in Signal Processing: a quantitative approach

V.M Garcia, A.Gonzalez, C. Gonzalez, F.J. Martinez-Zaldivar, C.Ramiro, S. Roger, A.M. Vidal

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Tags: CUDA, CULA, nVidia, nVidia Quadro FX 5800, Signal processing, Tesla C2070

October 20, 2012 by hgpu

Hierarchical Exploration of Volumes Using Multilevel Segmentation of the Intensity-Gradient Histograms

Cheuk Yiu Ip

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Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 260, Visualization

October 20, 2012 by hgpu

Empirical analysis of a parallel data mining algorithm on a graphic processor

Davide Berdin

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Tags: Computer science, CUDA, Data mining, Data parallelism, nVidia, nVidia GeForce GTX 580, Thesis

October 20, 2012 by hgpu

A short guide to CUDA C: For physicists with multi-core graphics cards

David Plotzki

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Tags: Computational Physics, Computer science, CUDA, nVidia, nVidia Quadro NVS 3100 M, Package, Physics, Tesla C1060, Tutorial

October 19, 2012 by hgpu

Accelerated GPU Powered Methods for Auditing Security of Wireless Networks Using Probabilistic Password Generation

Jan Krekan, Lubomir Dobos, Matus Pleva

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Tags: ATI, ATI Radeon HD 6850, Computer science, CUDA, Security

October 19, 2012 by hgpu

A Novel Learning Algorithm for Bayesian Network and Its Efficient Implementation on GPU

Yu Wang, Weikang Qian, Shuchang Zhang, Bo Yuan

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Tags: Algorithms, Bayesian, Computational Complexity, Computer science, CUDA, nVidia, Tesla M2090

October 19, 2012 by hgpu

Computing Reachable Sets via Barrier Methods on SIMD Architectures

Lars Grune, Thomas U. Jahn

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Tags: Algorithms, CUDA, Linear Algebra, Mathematics, nVidia, ODEs, Ordinary differential equations

October 18, 2012 by hgpu

KernelBenchX: A Comprehensive Benchmark for Evaluating LLM-Generated GPU Kernels

CuTile Benchmark Suite: Performance and Productivity Tradeoffs for GPU Kernel Programming on Blackwell Architecture

Evaluating CUDA Tile for AI Workloads on Hopper and Blackwell GPUs

MegaTrain: Full Precision Training of 100B+ Parameter Large Language Models on a Single GPU

Device Virtual Machine (DVM)

DVM: Real-Time Kernel Generation for Dynamic AI Models

Agentic Code Optimization via Compiler-LLM Cooperation

AutoKernel: Autoresearch for GPU kernels. Give it any PyTorch model, go to sleep, wake up to optimized Triton kernels

AutoKernel: Autonomous GPU Kernel Optimization via Iterative Agent-Driven Search

Triton-Sanitizer: A Fast and Device-Agnostic Memory Sanitizer for Triton with Rich Diagnostic Context

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high performance computing on graphics processing units: hgpu.org

Programming

An Approach for Traffic Forecast with GPU Computing & Cellular Automata Model

A (ir)regularity-aware task scheduler for heterogeneous platforms

Hybrid MPI/GPU Interpolation for Grid DEM Construction

Streaming Dynamic Coarse-Grained CPU/GPU Workloads with Heterogeneous Pipelines in FastFlow

Stereo Matching using Multi-Resolution Images on CUDA

The impact of GPU/Multicore in Signal Processing: a quantitative approach

Hierarchical Exploration of Volumes Using Multilevel Segmentation of the Intensity-Gradient Histograms

Empirical analysis of a parallel data mining algorithm on a graphic processor

A short guide to CUDA C: For physicists with multi-core graphics cards

Accelerated GPU Powered Methods for Auditing Security of Wireless Networks Using Probabilistic Password Generation

A Novel Learning Algorithm for Bayesian Network and Its Efficient Implementation on GPU

Computing Reachable Sets via Barrier Methods on SIMD Architectures

Recent source codes

KernelBenchX: A Comprehensive Benchmark for Evaluating LLM-Generated GPU Kernels

CUDA Kernel Fusion Benchmarks

IntelliKit: Agent-first tooling for AMD hardware

DITRON: Distributed Compiler based on Triton for Parallel Systems

CuTile Benchmark Suite: Performance and Productivity Tradeoffs for GPU Kernel Programming on Blackwell Architecture

MegaTrain: Full Precision Training of 100B+ Parameter Large Language Models on a Single GPU

Device Virtual Machine (DVM)

Agentic Code Optimization via Compiler-LLM Cooperation

AutoKernel: Autoresearch for GPU kernels. Give it any PyTorch model, go to sleep, wake up to optimized Triton kernels

Triton-Sanitizer: A Fast and Device-Agnostic Memory Sanitizer for Triton with Rich Diagnostic Context

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