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OKL: A Unified Language for Parallel Architectures

David Medina

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Tags: ATI, ATI Radeon HD 7990, Computer science, CUDA, High-level Languages, nVidia, OpenCL, Tesla K40, Thesis

July 29, 2015 by hgpu

Processing Large-scale XML Files on GPGPU Cluster

Ping Liu

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Tags: Computer science, CUDA, GPU cluster, nVidia, OpenMPI, Performance, Tesla M2075

July 27, 2015 by hgpu

Fast-Coding Robust Motion Estimation Model in a GPU

Carlos Garcia, Guillermo Botella, Francisco de Sande, Manuel Prieto-Matias

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Tags: Image processing, nVidia, OpenACC, OpenMP, Tesla K20

July 27, 2015 by hgpu

Accelerating Protein Structure Prediction using Particle Swarm Optimization on GPU

Hamed Khakzad, Yasaman Karami, Seyed Shahriar Arab

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Tags: Algorithms, Bioinformatics, Biology, CUDA, nVidia, Particle swarm optimization, Sequence alignment, Tesla C1060

July 24, 2015 by hgpu

Comparison between GPU and parallel CPU optimizations in viewshed analysis

Tobias Axell, Mattias Friden

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Tags: Algorithms, Computer science, nVidia, nVidia GeForce GTX 660 M, OpenCL, Thesis

July 24, 2015 by hgpu

An End-to-End Trainable Neural Network for Image-based Sequence Recognition and Its Application to Scene Text Recognition

Baoguang Shi, Xiang Bai, Cong Yao

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Tags: Computer science, Computer vision, CUDA, Deep learning, Machine learning, nVidia, Tesla K40

July 24, 2015 by hgpu

Massively Deep Artificial Neural Networks for Handwritten Digit Recognition

Keiron O'Shea

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Tags: Computer science, Computer vision, CUDA, Deep learning, Machine learning, nVidia, nVidia GeForce GTX 580

July 24, 2015 by hgpu

On the use of deep Boltzmann machines for road signs classification

Carlo D'Eramo

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Tags: Computer science, Computer vision, CUDA, Image recognition, Machine learning, nVidia, Python, Tesla C1060, Thesis

July 22, 2015 by hgpu

An algebraic parallel treecode in arbitrary dimensions

William B. March, Bo Xiao, Chenhan D. Yu, George Biros

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Tags: Algorithms, Computer science, CUDA, GPU cluster, Linear Algebra, MPI, nVidia, Tesla K40

July 22, 2015 by hgpu

Generating Binary Optimal Codes Using Heterogeneous Parallel Computing

Srajan Paliwal, Saurabh Tiwary, Bhaskar Chaudhury, Manish K. Gupta

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Tags: Algorithms, Code generation, Computer science, CUDA, Heterogeneous systems, nVidia, Tesla K40

July 22, 2015 by hgpu

Performance Analysis of GPU-Accelerated Filter-Based Source Finding for HI Spectral Line Image Data

Stefan Westerlund, Christopher Harris

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Tags: Astrophysics, CUDA, Filtering, Instrumentation and Methods for Astrophysics, MPI, nVidia, OpenCL, Programming techniques, Tesla C2075

July 20, 2015 by hgpu

Accelerating a Movie Recommender System Using VirtualCL on a Heterogeneous GPU Cluster

Ashish Bhatnagar

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Tags: Algorithms, Computer science, Computer vision, GPU cluster, Heterogeneous systems, Image processing, nVidia, nVidia GeForce GTX 770, OpenCL, Thesis

July 20, 2015 by hgpu

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

ThunderKittens: Tile primitives for speedy kernels

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

NVIDIA Nemotron Parse 1.1

Iris: AMD RAD's multi-GPU Triton-based framework for seamless multi-GPU programming

Iris: First-Class Multi-GPU Programming Experience in Triton

HipKittens: Fast and Furious AMD Kernels

CudaForge: An Agent Framework with Hardware Feedback for CUDA Kernel Optimization

See all packages

* * *

high performance computing on graphics processing units: hgpu.org

OKL: A Unified Language for Parallel Architectures

Processing Large-scale XML Files on GPGPU Cluster

Fast-Coding Robust Motion Estimation Model in a GPU

Accelerating Protein Structure Prediction using Particle Swarm Optimization on GPU

Comparison between GPU and parallel CPU optimizations in viewshed analysis

An End-to-End Trainable Neural Network for Image-based Sequence Recognition and Its Application to Scene Text Recognition

Massively Deep Artificial Neural Networks for Handwritten Digit Recognition

On the use of deep Boltzmann machines for road signs classification

An algebraic parallel treecode in arbitrary dimensions

Generating Binary Optimal Codes Using Heterogeneous Parallel Computing

Performance Analysis of GPU-Accelerated Filter-Based Source Finding for HI Spectral Line Image Data

Accelerating a Movie Recommender System Using VirtualCL on a Heterogeneous GPU Cluster

Recent source codes

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

hls4ml: Machine learning on FPGAs using HLS

ThunderKittens: Tile primitives for speedy kernels

NVIDIA Nemotron Parse 1.1

Iris: AMD RAD's multi-GPU Triton-based framework for seamless multi-GPU programming

HipKittens: Fast and Furious AMD Kernels

Fortran xDSL dialects

mt4g: Memory Topology 4 GPUs

Falcon: GPU-Based Floating-point Adaptive Lossless Compression

CudaForge: An Agent Framework with Hardware Feedback for CUDA Kernel Optimization

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