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Parallel Exact Inference on a CPU-GPGPU Heterogenous System

Hyeran Jeon, Yinglong Xia, Viktor K. Prasanna

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Tags: Computer science, CUDA, Heterogeneous systems, nVidia, nVidia GeForce GTX 260

April 4, 2011 by hgpu

A Static Task Partitioning Approach for Heterogeneous Systems Using OpenCL

Dominik Grewe, Michael O'Boyle

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Source codes

Tags: ATI, ATI Radeon HD 5970, Benchmarking, Computer science, Heterogeneous systems, OpenCL, Package, Task scheduling

April 4, 2011 by hgpu

GPU Accelerated Solver of Time-Dependent Air Pollutant Transport Equations

Vaclav Simek, Radim Dvorak, Frantisek Zboril, Vladimir Drabek

Tags: CUDA, Diffusion equation, Earth and Space Sciences, nVidia, Partial differential equations, PDEs

April 3, 2011 by hgpu

GPU-Accelerated Method of Moments by Example: Monostatic Scattering

E. Lezar, D.B. Davidson

Tags: CUDA, Electrodynamics, nVidia

April 3, 2011 by hgpu

An Accelerated IHS Transform Fusion of Remote Sensing Image Data Based on GPU

Lu Jun, Zhang Baoming

Tags: Computer science, Rendering

April 3, 2011 by hgpu

A New GPU-Based Neighbor Search Algorithm for Fluid Simulations

Xiangkun Zhao, Fengxia Li, Shouyi Zhan

Tags: Fluid dynamics, Fluid simulation, Nearest neighbour, Particle simulation

April 3, 2011 by hgpu

Efficient Parallel Algorithm for Nonlinear Dimensionality Reduction on GPU

Tsung Tai Yeh, Tseng-Yi Chen, Yen-Chiu Chen, Wei-Kuan Shih

Tags: Computer science, Data mining, KD-tree, Nearest neighbour

April 3, 2011 by hgpu

Accelerate Smoothed Particle Hydrodynamics using GPU

Xiaopeng Gao, Zhiqiang Wang, Han Wan, Xiang Long

Tags: CUDA, Fluid dynamics, Fluid simulation, nVidia, Particle simulation

April 3, 2011 by hgpu

GPU acceleration of MOLAR for HRRT List-Mode OSEM reconstructions

W.C. Barker, S. Thada

Tags: CUDA, Image processing, Image reconstruction, Medicine, nVidia, nVidia Quadro FX 4600, Tomography

April 3, 2011 by hgpu

A Light-weight API for Portable Multicore Programming

Christopher G. Baker, Michael A. Heroux, H. Carter Edwards, Alan B. Williams

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Tags: Computer science, CUDA, Linear Algebra, nVidia, nVidia GeForce GTX 280, OpenCL, RapidMind

April 3, 2011 by hgpu

Mobile visual computing

K. Pulli

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Tags: Computer science, Image recognition, OpenCL, OpenGL, Video tracking

April 3, 2011 by hgpu

Energy consumption of Graphic Processing Units with respect to automotive use-cases

L. Stolz, H. Endt, M. Vaaraniemi, D. Zehe, W. Stechele

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Tags: Computational Engineering, Computer science, CUDA, Energy-efficient computing, nVidia, nVidia GeForce 8400 GS, nVidia GeForce 9400 GT, nVidia GeForce GT 220, OpenCL

April 3, 2011 by hgpu

Agentic Code Optimization via Compiler-LLM Cooperation

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

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

SOL-ExecBench: Speed-of-Light Benchmarking for Real-World GPU Kernels Against Hardware Limits

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

Applications

Parallel Exact Inference on a CPU-GPGPU Heterogenous System

A Static Task Partitioning Approach for Heterogeneous Systems Using OpenCL

GPU Accelerated Solver of Time-Dependent Air Pollutant Transport Equations

GPU-Accelerated Method of Moments by Example: Monostatic Scattering

An Accelerated IHS Transform Fusion of Remote Sensing Image Data Based on GPU

A New GPU-Based Neighbor Search Algorithm for Fluid Simulations

Efficient Parallel Algorithm for Nonlinear Dimensionality Reduction on GPU

Accelerate Smoothed Particle Hydrodynamics using GPU

GPU acceleration of MOLAR for HRRT List-Mode OSEM reconstructions

A Light-weight API for Portable Multicore Programming

Mobile visual computing

Energy consumption of Graphic Processing Units with respect to automotive use-cases

Recent source codes

Agentic Code Optimization via Compiler-LLM Cooperation

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

Device Virtual Machine (DVM)

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

SOL-ExecBench: Speed-of-Light Benchmarking for Real-World GPU Kernels Against Hardware Limits

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

LLM.Q: Quantized LLM training in pure CUDA/C++

True 4-Bit Quantized CNN Training on CPU

cuFuzz: A GPU-oriented coverage-guided fuzzer for userland CUDA application

KernelSkill: A Multi-Agent Framework for GPU Kernel Optimization

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