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Performance Study of Satellite Image Processing on Graphics Processors Unit Using CUDA

In-Kyu Jeong, Min-Gee Hong, Kwang-Soo Hahn, Joonsoo Choi, Choen Kim

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Tags: CUDA, Data acquisition, Image processing, nVidia, nVidia GeForce GTX 550 Ti, Raytracing, Sensing, Visualization

January 24, 2013 by hgpu

GPU-based 3D Wavelet Transform

Vicente Galiano, Otoniel Lopez, Manuel P. Malumbres, Hector Migallon

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Tags: Algorithms, Compression, Computer science, CUDA, nVidia, nVidia GeForce GT 540 M, nVidia GeForce GTX 280, Wavelet

January 24, 2013 by hgpu

Reducing GPU Offload Latency via Fine-Grained CPU-GPU Synchronization

Daniel Lustig, Margaret Martonosi

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Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 580, Performance

January 23, 2013 by hgpu

The effects of nutrient chemotaxis on bacterial aggregation patterns with non-linear degenerate cross diffusion

J. Francisco Leyva, Carlos Malaga, Ramon G. Plaza

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Tags: Biological Physics, Biology, CUDA, Numerical simulation, nVidia, Tesla C2070

January 23, 2013 by hgpu

Implementing Open-Source CUDA Runtime

Shinpei Kato

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Tags: Computer science, CUDA, nVidia, Operating systems, Package

January 23, 2013 by hgpu

Data parallel patterns on CPU/GPU mix

T. Serban, M. Danelutto, M. Coppola

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Tags: Computer science, CUDA, Data parallelism, nVidia, nVidia GeForce GT 540, nVidia GeForce GTX 285, Tesla C2050

January 22, 2013 by hgpu

A GPU Accelerated Navier-Stokes Solver with Multi-level Granularity for Solving Sparse Implicit Systems

Sebastian Thomas, James D. Baeder

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Tags: CUDA, Fluid dynamics, Navier-Stokes equations, NSEs, nVidia, nVidia GeForce GTX 480, nVidia GeForce GTX 640

January 22, 2013 by hgpu

Accelerating Fast Fourier Transforms Using Hadoop and CUDA

Rostislav Tsiomenko, Bradley S. Rees

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Tags: Computer science, CUDA, FFT, nVidia, nVidia GeForce GT 620

January 22, 2013 by hgpu

The PEPPHER Composition Tool: Performance-Aware Dynamic Composition of Applications for GPU-based Systems

Usman Dastgeer, Lu Li, Christoph Kessler

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Tags: Computer science, CUDA, Heterogeneous systems, nVidia, Performance, Tesla C1060, Tesla C2050

January 22, 2013 by hgpu

Analysis of Metallic Nanostructures by a Discontinuous Galerkin Time-Domain Maxwell Solver on Graphics Processing Units

Richard Timothy Helmut Diehl

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Tags: CUDA, Electrodynamics, Maxwell's equations, nVidia, nVidia GeForce GTX 580, Thesis

January 22, 2013 by hgpu

Accelerating Image Reconstruction in Dual-Head PET System by GPU and Symmetry Properties

Cheng-Ying Chou, Yun Dong, Yukai Hung, Yu-Jiun Kao, Weichung Wang, Chien-Min Kao, Chin-Tu Chen

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Tags: Algorithms, CUDA, Image processing, Image reconstruction, Medicine, nVidia, PET, Tesla C2070, Tomography

January 20, 2013 by hgpu

Fast Positron Range Calculation in Heterogeneous Media for 3D PET Reconstruction

Laszlo Szirmay-Kalos, Milan Magdics, Balazs Toth, Balazs Csebfalvi, Tamas Umenhoffer, Judit Lantos, Gergely Patay

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Tags: Computer science, CUDA, Filtering, Heterogeneous systems, nVidia, nVidia GeForce GTX 480, PET, Probability

January 20, 2013 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

See all packages

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high performance computing on graphics processing units: hgpu.org

Programming

Performance Study of Satellite Image Processing on Graphics Processors Unit Using CUDA

GPU-based 3D Wavelet Transform

Reducing GPU Offload Latency via Fine-Grained CPU-GPU Synchronization

The effects of nutrient chemotaxis on bacterial aggregation patterns with non-linear degenerate cross diffusion

Implementing Open-Source CUDA Runtime

Data parallel patterns on CPU/GPU mix

A GPU Accelerated Navier-Stokes Solver with Multi-level Granularity for Solving Sparse Implicit Systems

Accelerating Fast Fourier Transforms Using Hadoop and CUDA

The PEPPHER Composition Tool: Performance-Aware Dynamic Composition of Applications for GPU-based Systems

Analysis of Metallic Nanostructures by a Discontinuous Galerkin Time-Domain Maxwell Solver on Graphics Processing Units

Accelerating Image Reconstruction in Dual-Head PET System by GPU and Symmetry Properties

Fast Positron Range Calculation in Heterogeneous Media for 3D PET Reconstruction

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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