high performance computing on graphics processing units: hgpu.org

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hgpu.org » Applications » Computer science

Cost-Effective Soft-Error Protection for SRAM-Based Structures in GPGPUs

Jingweijia Tan, Zhi Li, Xin Fu

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Tags: Computer science, CUDA, Energy-efficient computing, Hardware Architecture, nVidia

June 13, 2013 by hgpu

Acceleration of calculation of Third Party Risk around an airport using OpenCL

Ronald Erkamp

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Tags: Computer science, nVidia, OpenCL, Tesla C2075, Tesla K20, Thesis

June 13, 2013 by hgpu

An Analysis of Conventional and Heterogeneous Workloads on Production Supercomputing Resources

Jonathan Allen Berkhahn

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Tags: Cloud, Computer science, CUDA, Heterogeneous systems, nVidia, Tesla M2050, Tesla S2050

June 13, 2013 by hgpu

Real-time planar flow velocity measurements using an optical flow algorithm implemented on GPU

N. Gautier, J-L. Aider

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Tags: Algorithms, Computer vision, CUDA, Fluid dynamics, nVidia, nVidia GeForce GTX 580, Optical flow, Physics

June 13, 2013 by hgpu

The Hierarchical Memory Machine Model for GPUs

Koji Nakano

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Tags: Algorithms, Computer science, CUDA, Memory model, nVidia, nVidia GeForce GTX 580

June 12, 2013 by hgpu

FastSpMM: An Efficient Library for Sparse Matrix Matrix Product on GPUs

Gloria Ortega, Francisco Vazquez, Inmaculada Garcia, Ester M. Garzon

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Tags: Computer science, Matrix multiplication, nVidia, nVidia GeForce GTX 480, Package, Sparse matrix, Tesla C2050

June 12, 2013 by hgpu

OpenCL Implementation of a Color Based Object Tracking

Marko Jocic, Dorde Obradovic, Zora Konjovic, Daniel Tertei

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Tags: Algorithms, Computer science, Computer vision, nVidia, nVidia GeForce GT 420, OpenCL

June 12, 2013 by hgpu

OCLoptimizer: An Iterative Optimization Tool for OpenCL

Jorge F. Fabeiro, Diego Andrade, Basilio B. Fraguela

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Tags: Computer science, Genetic programming, OpenCL, Optimization

June 10, 2013 by hgpu

Accelerating Genetic Programming Using Graphics Processing Units

Tony Lewis

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Tags: Computer science, CUDA, Genetic programming, nVidia, nVidia GeForce GTX 260, Thesis

June 10, 2013 by hgpu

Processing XPath Structural Constraints on GPU

Dilson A. Guimaraes, Filipe de L. Arcanjo, Laura R. Antuna, Mirella M. Moro, Renato C. Ferreira

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Tags: Algorithms, Computer science, CUDA, Databases, nVidia, OpenCL

June 10, 2013 by hgpu

Recent Advances on GPU Computing in Operations Research

incent Boyer, Didier El Baz

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Tags: Computer science, Review

June 10, 2013 by hgpu

GPU Acceleration of Algebraic Multigrid for Low-Frequency Finite Element Methods

Elia A. Attardo, Andrea Borsic

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Tags: Finite element method, GPU AMG, nVidia, Tesla S1070

June 9, 2013 by egpu

CUDAnalyst (CUDA + Analyst)

Towards Feedback-to-Plan Decisions for Self-Evolving LLM Agents in CUDA Kernel Generation

CodegenBench

CodegenBench: Can LLMs Write Efficient Code Across Architectures?

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

Device Virtual Machine (DVM)

DVM: Real-Time Kernel Generation for Dynamic AI Models

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

Agentic Code Optimization via Compiler-LLM Cooperation

See all packages

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high performance computing on graphics processing units: hgpu.org

Applications

Cost-Effective Soft-Error Protection for SRAM-Based Structures in GPGPUs

Acceleration of calculation of Third Party Risk around an airport using OpenCL

Real-time planar flow velocity measurements using an optical flow algorithm implemented on GPU

The Hierarchical Memory Machine Model for GPUs

FastSpMM: An Efficient Library for Sparse Matrix Matrix Product on GPUs

OpenCL Implementation of a Color Based Object Tracking

OCLoptimizer: An Iterative Optimization Tool for OpenCL

Accelerating Genetic Programming Using Graphics Processing Units

Processing XPath Structural Constraints on GPU

Recent Advances on GPU Computing in Operations Research

GPU Acceleration of Algebraic Multigrid for Low-Frequency Finite Element Methods

Recent source codes

CUDAnalyst (CUDA + Analyst)

CodegenBench

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

Device Virtual Machine (DVM)

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

Agentic Code Optimization via Compiler-LLM Cooperation

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