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Fast Algorithms for the Solution of Stochastic Partial Differential Equations

Christopher William Miller

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Tags: Algorithms, Computer science, CUDA, Differential equations, nVidia, Partial differential equations, PDEs, Tesla C2050

July 11, 2012 by hgpu

Stencil-Aware GPU Optimization of Iterative Solvers

Chekuri Choudary, Jeswin Godwin, Justin Holewinski, Deepan Karthik, Daniel Lowell, Azamat Mametjanov, Boyana Norris, Gerald Sabin, P. Sadayappan

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Tags: Computer science, CUDA, Differential equations, nVidia, Optimization, Partial differential equations, PDEs, Sparse matrix, Tesla C2050, Tesla M2070

July 11, 2012 by hgpu

Invitation to a Standard Programming Interface for Massively Parallel Computing Environment: OpenCL

Shinichi Yamagiwa

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Tags: Computer science, Heterogeneous systems, nVidia, nVidia Quadro NVS 4200 M, OpenCL, Overview, Programming techniques, Tutorial

July 11, 2012 by hgpu

Geometric Algebra enhanced Precompiler for C++ and OpenCL

Patrick Charrier, Dietmar Hildenbrand

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Tags: Code generation, Computer science, CUDA, nVidia, OpenCL, Package, Programming techniques

July 11, 2012 by hgpu

Exposure Render: An Interactive Photo-Realistic Volume Rendering Framework

Thomas Kroes, Frits H. Post, Charl P. Botha

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Tags: 3D Graphics and Realism, Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX 470, Package, Raytracing, Rendering, Visualization

July 10, 2012 by hgpu

Runtime Systems and Scheduling Support for High-End CPU-GPU Architectures

Vignesh Trichy Ravi

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Tags: Cloud, Computer science, CUDA, GPU cluster, Heterogeneous systems, nVidia, OpenCL, Tesla C2050, Thesis

July 10, 2012 by hgpu

A Generic Library for Stencil Computations

Mauro Bianco, Ugo Varetto

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Tags: Algorithms, Computer science, CUDA, Heterogeneous systems, Mathematical Software, MPI, nVidia, PC cluster, Performance, Tesla M2090

July 10, 2012 by hgpu

A hybrid Hermitian general eigenvalue solver

Raffaele Solca, Thomas C. Schulthess, Azzam Haidar, Stanimire Tomov, Ichitaro Yamazaki, Jack Dongarra

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Tags: Chemistry, Computer science, CUDA, Materials Science, Numerical Analysis, nVidia, Tesla M2090

July 10, 2012 by hgpu

Parallelising the Transfer-Matrix Method using Graphics Processors

Thomas Edwards

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Tags: Computer science, CUDA, nVidia, Tesla C1060, Thesis

July 9, 2012 by hgpu

Performance models for CUDA streams on NVIDIA GeForce series

Juan Gomez-Luna, Jose Maria Gonzalez-Linares, Jose Ignacio Benavides, Nicolas Guil

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Tags: Computer science, CUDA, nVidia, nVidia GeForce 8800 GTS, nVidia GeForce 9800 GX2, nVidia GeForce GTX 260, nVidia GeForce GTX 280, nVidia GeForce GTX 480, nVidia GeForce GTX 580, Performance

July 9, 2012 by hgpu

Elastically Deformable Models based on the Finite Element Method Accelerated on Graphics Hardware using CUDA

Mickeal Verschoor, Andrei C. Jalba

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Tags: Computer science, CUDA, FEM, Finite element method, nVidia, nVidia GeForce GTX 570, Sparse matrix

July 9, 2012 by hgpu

Intensity model with blur effect on GPUs applied to large-scale star simulators

Chao Li, Yun-Quan Zhang, Changwen Zheng, Xiaohui Hu

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Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 480, Package

July 9, 2012 by hgpu

ParaCodex: A Profiling-Guided Autonomous Coding Agent for Reliable Parallel Code Generation and Translation

SeedFold: Scaling Biomolecular Structure Prediction

Tilus: A Tile-Level GPU Kernel Programming Language

Tilus: A Tile-Level GPGPU Programming Language for Low-Precision Computation

Memory-Efficient Acceleration of Block Low-Rank Foundation Models on Resource Constrained GPUs

BoltzGen:Toward Universal Binder Design

CUDA-L2: Surpassing cuBLAS Performance for Matrix Multiplication through Reinforcement Learning

cuPilot: A Strategy-Coordinated Multi-agent Framework for CUDA Kernel Evolution

MATLAB Tensor Core models

Accurate Models of NVIDIA Tensor Cores

TritonForge: Transform PyTorch Operations into Optimized GPU Kernels with LLMs

TritonForge: Profiling-Guided Framework for Automated Triton Kernel Optimization

RLTune: Hybrid Learning and Optimization-Based Dynamic Scheduling for DL Workloads on Heterogeneous GPU Clusters

Hybrid Learning and Optimization-Based Dynamic Scheduling for DL Workloads on Heterogeneous GPU Clusters

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high performance computing on graphics processing units: hgpu.org

Fast Algorithms for the Solution of Stochastic Partial Differential Equations

Stencil-Aware GPU Optimization of Iterative Solvers

Invitation to a Standard Programming Interface for Massively Parallel Computing Environment: OpenCL

Geometric Algebra enhanced Precompiler for C++ and OpenCL

Exposure Render: An Interactive Photo-Realistic Volume Rendering Framework

A Generic Library for Stencil Computations

A hybrid Hermitian general eigenvalue solver

Parallelising the Transfer-Matrix Method using Graphics Processors

Performance models for CUDA streams on NVIDIA GeForce series

Elastically Deformable Models based on the Finite Element Method Accelerated on Graphics Hardware using CUDA

Intensity model with blur effect on GPUs applied to large-scale star simulators

Recent source codes

ParaCodex: A Profiling-Guided Autonomous Coding Agent for Reliable Parallel Code Generation and Translation

SeedFold: Scaling Biomolecular Structure Prediction

Tilus: A Tile-Level GPU Kernel Programming Language

Memory-Efficient Acceleration of Block Low-Rank Foundation Models on Resource Constrained GPUs

BoltzGen:Toward Universal Binder Design

CUDA-L2: Surpassing cuBLAS Performance for Matrix Multiplication through Reinforcement Learning

cuPilot: A Strategy-Coordinated Multi-agent Framework for CUDA Kernel Evolution

MATLAB Tensor Core models

TritonForge: Transform PyTorch Operations into Optimized GPU Kernels with LLMs

RLTune: Hybrid Learning and Optimization-Based Dynamic Scheduling for DL Workloads on Heterogeneous GPU Clusters

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