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hgpu.org » Applications » Computer science

Platform-Specific Optimization and Mapping of Stencil Codes through Refinement

Marcel Koster, Roland Leissa, and Sebastian Hack, Richard Membarth, Philipp Slusallek

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Tags: Algorithms, Compilers, Computer science, CUDA, nVidia, nVidia GeForce GTX 580, nVidia GeForce GTX 680

January 26, 2014 by hgpu

Computing Best Possible Pseudo-Solutions to Interval Linear Systems of Equations

Anatoly V. Panyukov, Valentin A. Golodov

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Tags: Computer science, CUDA, Linear Algebra, MPI, nVidia, nVidia GeForce GTX 460

January 26, 2014 by hgpu

Optimizing Stencil Computations for NVIDIA Kepler GPUs

Naoya Maruyama, Takayuki Aoki

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Tags: Computer science, CUDA, Numerical Analysis, nVidia, Package, Tesla K20, Tesla M2075

January 26, 2014 by hgpu

Hybrid strategy for stencil computations on the APU

Pacome Eberhart, Issam Said, Pierre Fortin

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Tags: AMD, APU, Computer science, Numerical Analysis, OpenCL, Partial differential equations

January 26, 2014 by hgpu

Efficient Parallel Implementation of Active Appearance Model Fitting Algorithm on GPU

Jinwei Wang, Xirong Ma, Yuanping Zhu, Jizhou Sun

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Tags: Algorithms, Computer science, Computer vision, CUDA, nVidia, nVidia GeForce GTX 650

January 26, 2014 by hgpu

A High-productivity Framework for Multi-GPU computation of Mesh-based applications

Takashi Shimokawabe, Takayuki Aoki, Naoyuki Onodera

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Tags: Computer science, CUDA, Diffusion equation, MPI, nVidia, Tesla K20

January 25, 2014 by hgpu

Improvement of the fused CUDA kernels performance prediction

Peter Novak

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

January 25, 2014 by hgpu

OpenSSL acceleration using Graphics Processing Units

Pedro Miguel Costa Saraiva

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Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 580, OpenCL, Security, Thesis

January 23, 2014 by hgpu

On the Portability of the OpenCL Dwarfs on Fixed and Reconfigurable Parallel Platforms

Konstantinos Krommydas, Muhsen Owaida, Christos D. Antonopoulos, Nikolaos Bellas, Wu-chun Feng

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Tags: APU, ATI, ATI Radeon HD 7970, Computer science, FPGA, Heterogeneous systems, Intel Xeon Phi, OpenCL

January 23, 2014 by hgpu

clpeak – peak performance of your opencl device

Krishnaraj Bhat

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Tags: ATI, Benchmarking, Computer science, nVidia, OpenCL, Package, Performance

January 23, 2014 by hgpu

Multi-GPU parallel memetic algorithm for capacitated vehicle routing problem

Michal Karpinski, Maciej Pacut

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Tags: Computer science, CUDA, Neural and Evolutionary Computing, nVidia, OpenMPI, Tesla S2050

January 23, 2014 by hgpu

FlowTour: An Automatic Guide for Exploring Internal Flow Features

Jun Ma, James Walker, Chaoli Wang, Scott A. Kuhl, Ching-Kuang Shene

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX 580, Visualization

January 19, 2014 by hgpu

PTXBench: an open-source environment for kernel agents with architecture-specific CUDA/PTX

PTXBench: Benchmark and Adapt LLMs for GPU Kernel Optimization with Architecture-specific PTX

RealisticTritonBench: A Benchmark for Triton-Kernel Generation in Real-World AI Frameworks

TensorCorePTX: PTX Tensor Core GEMM Exploration

Hand-Written PTX Tensor-Core GEMM Kernels: A Multi-Precision Study on NVIDIA L4

FlashPDE: Triton-fused PDE stencil kernels for physics-informed neural networks

FlashPDE: A Drop-In Fused Triton Operator Library for Neural PDE Solvers

PortLBM: Portable GPU-accelerated Lattice Boltzmann Method Simulations

PortLBM: A Portable Lattice Boltzmann Tool Leveraging SYCL on AMD, NVIDIA, and Intel GPUs

Harness Engineering for LLM-Driven GPU Kernel Generation

CANNBot Skills

Compiler-Grounded Hierarchical Diagnosis for LLM-Based Triton Kernel Optimization

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high performance computing on graphics processing units: hgpu.org

Applications

Platform-Specific Optimization and Mapping of Stencil Codes through Refinement

Computing Best Possible Pseudo-Solutions to Interval Linear Systems of Equations

Optimizing Stencil Computations for NVIDIA Kepler GPUs

Hybrid strategy for stencil computations on the APU

Efficient Parallel Implementation of Active Appearance Model Fitting Algorithm on GPU

A High-productivity Framework for Multi-GPU computation of Mesh-based applications

Improvement of the fused CUDA kernels performance prediction

OpenSSL acceleration using Graphics Processing Units

On the Portability of the OpenCL Dwarfs on Fixed and Reconfigurable Parallel Platforms

clpeak – peak performance of your opencl device

Multi-GPU parallel memetic algorithm for capacitated vehicle routing problem

FlowTour: An Automatic Guide for Exploring Internal Flow Features

Recent source codes

EinsummableV3 - graph-based computation with tensor operations support

MaxKernel: Intelligent TPU Kernel Engineering Agents

FP4 FlashAttention forward, backward, and TorchTitan reproduction code

PTXBench: an open-source environment for kernel agents with architecture-specific CUDA/PTX

RealisticTritonBench: A Benchmark for Triton-Kernel Generation in Real-World AI Frameworks

TensorCorePTX: PTX Tensor Core GEMM Exploration

FlashPDE: Triton-fused PDE stencil kernels for physics-informed neural networks

PortLBM: Portable GPU-accelerated Lattice Boltzmann Method Simulations

Harness Engineering for LLM-Driven GPU Kernel Generation

CANNBot Skills

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