Applications

hgpu.org » Applications

Candidate set parallelization strategies for Ant Colony Optimization on the GPU

Laurence Dawson, Iain A. Stewart

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

December 29, 2013 by hgpu

Multi-GPU numerical simulation of electromagnetic waves

Philippe Helluy, Thomas Strub

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Tags: Electrodynamics, Maxwell's equations, MPI, Numerical simulation, nVidia, nVidia GeForce GTX 295, OpenCL, Tesla M2090

December 29, 2013 by hgpu

Algorithms for manipulating large geometric data

Jiri Skala

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Tags: 3D Graphics and Realism, Algorithms, Clustering, Computer science, CUDA, nVidia, nVidia GeForce 8800 GTX, Thesis

December 29, 2013 by hgpu

GPU-Based Acceleration on ACEnet for FDTD Method of Electromagnetic Field Analysis

Dachuan Sun

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Tags: Algorithms, CUDA, Electrodynamics, FDTD, Finite-difference time-domain, nVidia, nVidia GeForce GT 520, Programming techniques, Thesis

December 29, 2013 by hgpu

Accelerating Computational Algorithms

Michael Risley

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Tags: Algorithms, APU, ATI, Computer science, nVidia, nVidia GeForce GTX 570, OpenCL, Thesis

December 29, 2013 by hgpu

Implementing Neural Networks Efficiently

Ronan Collobert, Koray Kavukcuoglu, Clement Farabet

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Tags: Algorithms, Computer science, CUDA, Machine learning, Neural networks, nVidia, Tesla M2090

December 29, 2013 by hgpu

OpenCL Programming by Example

Ravishekhar Banger, Koushik Bhattacharyya

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Tags: Book, Computer science, Image processing, Matrix multiplication, Memory model, Nearest neighbour, OpenCL, OpenGL, Pattern recognition, Tutorial

December 27, 2013 by hgpu

HUGO: Hierarchical mUlti-reference Genome cOmpression for aligned reads

Pinghao Li, Xiaoqian Jiang, Shuang Wang, Jihoon Kim, Hongkai Xiong, Lucila Ohno-Machado

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Tags: Algorithms, Bioinformatics, Biology, Clustering, Compression, CUDA, nVidia, Package, Sequence alignment, Tesla M2090

December 27, 2013 by hgpu

Finite Element Modelling of Prostate Deformation and Needle-Tissue Interactions

Mark Herink

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Tags: CUDA, Medicine, nVidia, nVidia GeForce GTX 560 Ti, Thesis

December 27, 2013 by hgpu

BbmTTP: Beat-based Parallel Simulated Annealing Algorithm on GPGPUs for the Mirrored Traveling Tournament Problem

Vijay Menon, Saurabh Jha

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Tags: Algorithms, Computer science, CUDA, nVidia, Optimization, Package, Tesla M2050

December 27, 2013 by hgpu

Multi-GPU Load Balancing for In-Situ Simulation and Visualization

Yong Cao, Robert Hagan

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Tags: Computer science, nVidia, nVidia GeForce GTX 295, Rendering, Task scheduling, Visualization

December 27, 2013 by hgpu

BIDMach: Large-scale Learning with Zero Memory Allocation

John Canny, Huasha Zhao

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Tags: Benchmarking, Computer science, CUDA, Machine learning, nVidia, nVidia GeForce GTX 690

December 25, 2013 by hgpu

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

BoltzGen:Toward Universal Binder Design

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

tritonBLAS: A Lightweight Triton-based General Matrix Multiplication (GEMM) Library

tritonBLAS: Triton-based Analytical Approach for GEMM Kernel Parameter Selection

hls4ml: Machine learning on FPGAs using HLS

hls4ml: A Flexible, Open-Source Platform for Deep Learning Acceleration on Reconfigurable Hardware

NVIDIA Nemotron Parse 1.1

ThunderKittens: Tile primitives for speedy kernels

ParallelKittens: Systematic and Practical Simplification of Multi-GPU AI Kernels

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high performance computing on graphics processing units: hgpu.org

Applications

Candidate set parallelization strategies for Ant Colony Optimization on the GPU

Multi-GPU numerical simulation of electromagnetic waves

Algorithms for manipulating large geometric data

GPU-Based Acceleration on ACEnet for FDTD Method of Electromagnetic Field Analysis

Accelerating Computational Algorithms

Implementing Neural Networks Efficiently

OpenCL Programming by Example

HUGO: Hierarchical mUlti-reference Genome cOmpression for aligned reads

Finite Element Modelling of Prostate Deformation and Needle-Tissue Interactions

BbmTTP: Beat-based Parallel Simulated Annealing Algorithm on GPGPUs for the Mirrored Traveling Tournament Problem

Multi-GPU Load Balancing for In-Situ Simulation and Visualization

BIDMach: Large-scale Learning with Zero Memory Allocation

Recent source codes

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

BoltzGen:Toward Universal Binder Design

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

tritonBLAS: A Lightweight Triton-based General Matrix Multiplication (GEMM) Library

hls4ml: Machine learning on FPGAs using HLS

NVIDIA Nemotron Parse 1.1

ThunderKittens: Tile primitives for speedy kernels

Most viewed papers (last 30 days)