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Parallel Language Programming In Different Platforms

Pau Vila Fernández

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Tags: Computer science, CUDA, OpenACC, OpenCL, Programming Languages, Thesis

June 21, 2013 by hgpu

libCudaOptimize: an Open Source Library of GPU-based Metaheuristics

Youssef S.G. Nashed, Roberto Ugolotti, Pablo Mesejo, Stefano Cagnoni

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Tags: Artificial intelligence, Computer science, CUDA, Differential evolution, Evolutionary Computations, Metaheuristics, Neural and Evolutionary Computing, nVidia, nVidia GeForce GTS 450, Optimization, Package, Particle swarm optimization

June 21, 2013 by hgpu

Artificial Neural Network Simulation on CUDA

John Pendlebury, Huanhuan Xiong, Ray Walshe

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Tags: Computer science, CUDA, Neural networks, nVidia, nVidia GeForce GTX 480

June 21, 2013 by hgpu

On the Effect of Using Multiple GPUs in Solving QAPs with CUDA

Shigeyoshi Tsutsui, Noriyuki Fujimoto

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

June 21, 2013 by hgpu

Continuous Representation of Projected Attribute Spaces of Multifields over Any Spatial Sampling

Vladimir Molchanov, Alexey Fofonov, Lars Linsen

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Tags: Computer science, CUDA, Image generation, Numerical simulation, nVidia, nVidia GeForce GTX 480, Visualization

June 21, 2013 by hgpu

Deep learning with COTS HPC systems

Adam Coates, Brody Huval, Tao Wang, David J. Wu, Andrew Y. Ng, Bryan Catanzaro

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Tags: Computer science, CUDA, Machine learning, MPI, Neural networks, nVidia, nVidia GeForce GTX 680

June 19, 2013 by hgpu

Megakernels Considered Harmful: Wavefront Path Tracing on GPUs

Samuli Laine, Tero Karras, Timo Aila

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Tags: 3D Graphics and Realism, Computer science, CUDA, nVidia, Programming techniques, Raytracing, Tesla K20

June 19, 2013 by hgpu

Real-Time Geometry Decompression on Graphics Hardware

Quirin Nikolaus Meyer

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Tags: Algorithms, Compression, Computer science, CUDA, nVidia, nVidia GeForce GTX 580, Rendering, Thesis

June 19, 2013 by hgpu

Parallel Asynchronous Modelization and Execution of Cholesky Algorithm using Petri Nets

Gustavo Wolfmann, Armando De Giusti

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Tags: Algorithms, Computer science, CUDA, Factorization, nVidia, nVidia GeForce GTX 470, Task scheduling

June 19, 2013 by hgpu

GPU Matrix Multiplication

Junjie Li, Sanjay Ranka, Sartaj Sahni

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Tags: Algorithms, Computer science, CUDA, Matrix multiplication, nVidia, Tesla C1060

June 18, 2013 by hgpu

Sorting On A Graphics Processing Unit (GPU)

Shibdas Bandyopadhyay, Sartaj Sahni

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Tags: Algorithms, Computer science, CUDA, nVidia, Sorting, Tesla C1060

June 18, 2013 by hgpu

Delaunay Triangulation in R3 on the GPU

Ashwin Nanjappa

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Tags: Algorithms, Computer science, CUDA, Heterogeneous systems, nVidia, nVidia GeForce GTX 580, Package, Thesis, Voronoi diagram

June 18, 2013 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

See all packages

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high performance computing on graphics processing units: hgpu.org

Parallel Language Programming In Different Platforms

libCudaOptimize: an Open Source Library of GPU-based Metaheuristics

Artificial Neural Network Simulation on CUDA

On the Effect of Using Multiple GPUs in Solving QAPs with CUDA

Continuous Representation of Projected Attribute Spaces of Multifields over Any Spatial Sampling

Deep learning with COTS HPC systems

Megakernels Considered Harmful: Wavefront Path Tracing on GPUs

Real-Time Geometry Decompression on Graphics Hardware

Parallel Asynchronous Modelization and Execution of Cholesky Algorithm using Petri Nets

GPU Matrix Multiplication

Sorting On A Graphics Processing Unit (GPU)

Delaunay Triangulation in R3 on the GPU

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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