Applications

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A simple and efficient way to compute depth maps for multi-view videos

Gael Sourimant

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Tags: Algorithms, Computer science, Computer vision, Optical flow, Video tracking

April 9, 2011 by hgpu

Data-parallel algorithms for large-scale real-time simulation of the cellular potts model on graphics processing units

Jose Juan Tapia, Roshan D'Souza

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Tags: Biophysics, CUDA, Data Structures and Algorithms, nVidia, nVidia GeForce GTX 280, OpenGL, Physics, Programming techniques

April 9, 2011 by hgpu

Real-time parallel remote rendering for mobile devices using graphics processing units

Wucherl Yoo, Shu Shi, Won J. Jeon, Klara Nahrstedt, Roy H. Campbell

Tags: 3D Graphics and Realism, Computer science, Rendering

April 9, 2011 by hgpu

A Parallel Gibbs Sampling Algorithm for Motif Finding on GPU

Linbin Yu, Yun Xu

Tags: Bioinformatics, Biology, CUDA, nVidia, Sequence matching

April 9, 2011 by hgpu

The method of improving performace of the GPU-accelerated 2D FDTD simulator

P. Konczak, M. Sypniewski

Tags: Electrodynamics, FDTD, Finite-difference time-domain

April 9, 2011 by hgpu

Parallel Dense Gauss-Seidel Algorithm on Many-Core Processors

H. Courtecuisse, J. Allard

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Source codes

Tags: Algorithms, Computer science, CUDA, Medicine, nVidia, nVidia GeForce GTX 280, Package, Physics-based simulation, Surgical simulation

April 8, 2011 by hgpu

Optimize or Wait? Using llc Fast-Prototyping Tool to Evaluate CUDA Optimizations

Ruyman Reyes, Francisco de Sande

Tags: Computer science, CUDA, nVidia, Optimization

April 8, 2011 by hgpu

Support Vector Machines on GPU with Sparse Matrix Format

Tsung-Kai Lin, Shao-Yi Chien

Tags: Computer science, Machine learning, nVidia, nVidia GeForce GTX 470

April 8, 2011 by hgpu

High-Speed Implementations of Block Cipher ARIA Using Graphics Processing Units

Yongjin Yeom, Yongkuk Cho, Moti Yung

Tags: Block Ciphers, Computer science, CUDA, Hardware Architecture, nVidia, nVidia GeForce 8800 GTS, OpenGL, Security

April 8, 2011 by hgpu

Record Setting Software Implementation of DES Using CUDA

G. Agosta, A. Barenghi, F. De Santis, G. Pelosi

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Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 250, nVidia GeForce GTX 260, nVidia GeForce GTX 275, nVidia GeForce GTX 285, nVidia GeForce GTX 295, Security

April 8, 2011 by hgpu

On accelerating iterative algorithms with CUDA: A case study on Conditional Random Fields training algorithm for biological sequence alignment

Zhihui Du, Zhaoming Yin, Wenjie Liu, D. Bader

Tags: Bioinformatics, Biology, CUDA, nVidia, Sequence alignment

April 8, 2011 by hgpu

A Comparative Study on ASIC, FPGAs, GPUs and General Purpose Processors in the O(N^2) Gravitational N-body Simulation

Tsuyoshi Hamada, Khaled Benkrid, Keigo Nitadori, Makoto Taiji

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Tags: Astrophysics, Cosmology, FPGA, N-body simulation, nVidia, nVidia GeForce 8800 GTX, nVidia GeForce 9800 GX2, Physics

April 8, 2011 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

See all packages

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high performance computing on graphics processing units: hgpu.org

Applications

A simple and efficient way to compute depth maps for multi-view videos

Data-parallel algorithms for large-scale real-time simulation of the cellular potts model on graphics processing units

Real-time parallel remote rendering for mobile devices using graphics processing units

A Parallel Gibbs Sampling Algorithm for Motif Finding on GPU

The method of improving performace of the GPU-accelerated 2D FDTD simulator

Parallel Dense Gauss-Seidel Algorithm on Many-Core Processors

Optimize or Wait? Using llc Fast-Prototyping Tool to Evaluate CUDA Optimizations

Support Vector Machines on GPU with Sparse Matrix Format

High-Speed Implementations of Block Cipher ARIA Using Graphics Processing Units

Record Setting Software Implementation of DES Using CUDA

On accelerating iterative algorithms with CUDA: A case study on Conditional Random Fields training algorithm for biological sequence alignment

A Comparative Study on ASIC, FPGAs, GPUs and General Purpose Processors in the O(N^2) Gravitational N-body Simulation

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)