high performance computing on graphics processing units: hgpu.org

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YaDiV-an open platform for 3D visualization and 3D segmentation of medical data

Karl-Ingo Friese, Philipp Blanke, Franz-Erich Wolter

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Tags: Computer science, Medicine, nVidia, nVidia GeForce 9400 M, nVidia GeForce 9600 M, OpenGL, Package, Virtual reality, Visualization

November 2, 2011 by hgpu

APHOG: A Framework for Fast Object Detection Using Histograms of Oriented Gradients

Chris Cowdery-Corvan, Liangyi Fan, Thomas Knack

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Tags: Computer science, Computer vision, CUDA, nVidia

November 1, 2011 by hgpu

A Preliminary Review of Literature on Parallel Constraint Solving

Ian P. Gent, Chris Jefferson, Ian Miguel, Neil C.A. Moore, Peter Nightingale, Patrick Prosser, Chris Unsworth

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Tags: Computer science, Programming techniques, Review

November 1, 2011 by hgpu

Exploring Fine-Grained Task-based Execution on Multi-GPU Systems

Long Chen, Oreste Villa, Guang R. Gao

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Tags: Computer science, CUDA, GPU cluster, Molecular dynamics, nVidia, Tesla C1060

November 1, 2011 by hgpu

Using DRBL to Deploy MPICH2 and CUDA on Green Computing

Wu Jiun-Yu, Wang Yao-Tsung, Shiau Steven, Wang Hui Ching

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Tags: Computer science, CUDA, Energy-efficient computing, Green, nVidia, nVidia GeForce 9800 GT

November 1, 2011 by hgpu

An Implementation of Differential Evolution for Independent Tasks Scheduling on GPU

Pavel Kromer, Jan Platos, Vaclav Snasel, Ajith Abraham

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Tags: Algorithms, Artificial intelligence, Computer science, CUDA, Differential evolution, Heterogeneous systems, nVidia, Optimization, Task scheduling, Tesla C2050

November 1, 2011 by hgpu

A Real-Time Computer Vision Library for Heterogeneous Processing Environments

Tony J. Liu

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Tags: Computer science, Computer vision, DSP, FPGA, Heterogeneous systems, Package, Thesis

November 1, 2011 by hgpu

Architecture Comparisons between Nvidia and ATI GPUs: Computation Parallelism and Data Communications

Ying Zhang, Lu Peng, Bin Li, Jih-Kwon Peir, Jianmin Chen

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Tags: ATI, ATI Radeon HD 5870, Clustering, Computer science, Energy-efficient computing, nVidia, nVidia GeForce GTX 580, OpenCL

November 1, 2011 by hgpu

Parallel Smoothers for Matrix-based Multigrid Methods on Unstructured Meshes Using Multicore CPUs and GPUs

Vincent Heuveline, Dimitar Lukarski, Nico Trost, Jan-Philipp Weiss

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Tags: Algorithms, Computer science, CUDA, Differential equations, Linear Algebra, nVidia, Package, Partial differential equations, PDEs, Tesla S1070

October 31, 2011 by hgpu

Optimal Control of the Process Systems Using Graphic Processing Unit

Arash Sadrieh, Parisa A. Bahri

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX 480, Optimization, Performance

October 31, 2011 by hgpu

SIMD Re-Convergence At Thread Frontiers

Gregory Diamos, Andrew Kerr, Haicheng Wu, Sudhakar Yalamanchili, Benjamin Ashbaugh, Subramaniam Maiyuran

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Tags: Computer science, CUDA, nVidia, Performance, Programming Languages, PTX

October 31, 2011 by hgpu

Rapid Performance of a Generalized Distance Calculation

Scott Fisackerly, Eric Chu, David L. Foster

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Tags: Algorithms, Clustering, Computer science, CUDA, nVidia, nVidia GeForce GTX 480, Tesla C1060

October 31, 2011 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

YaDiV-an open platform for 3D visualization and 3D segmentation of medical data

APHOG: A Framework for Fast Object Detection Using Histograms of Oriented Gradients

A Preliminary Review of Literature on Parallel Constraint Solving

Exploring Fine-Grained Task-based Execution on Multi-GPU Systems

Using DRBL to Deploy MPICH2 and CUDA on Green Computing

An Implementation of Differential Evolution for Independent Tasks Scheduling on GPU

A Real-Time Computer Vision Library for Heterogeneous Processing Environments

Architecture Comparisons between Nvidia and ATI GPUs: Computation Parallelism and Data Communications

Parallel Smoothers for Matrix-based Multigrid Methods on Unstructured Meshes Using Multicore CPUs and GPUs

Optimal Control of the Process Systems Using Graphic Processing Unit

SIMD Re-Convergence At Thread Frontiers

Rapid Performance of a Generalized Distance Calculation

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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