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hgpu.org » Programming » Algorithms

Massively Parallel Suffix Array Queries and On-Demand Phrase Extraction for Statistical Machine Translation Using GPUs

Hua He, Jimmy Lin, Adam Lopez

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Tags: Algorithms, Computer science, CUDA, nVidia, Tesla C2050

April 18, 2013 by hgpu

Computing Privacy-Preserving Edit Distance and Smith-Waterman Problems on the GPU Architecture

Shi Pu, Jyh-Charn Liu

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX 680, Security, Smith-Waterman algorithm

April 18, 2013 by hgpu

GPU Accelerated Face Detection (thesis)

Jussi Makela

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Tags: Algorithms, Computer science, Computer vision, nVidia, nVidia GeForce GTX 280, nVidia GeForce GTX 480, OpenCL, Thesis

April 17, 2013 by hgpu

Communication-Minimizing 2D Convolution in GPU Registers

Forrest N. Iandola, David Sheffield, Michael Anderson, Phitchaya Mangpo Phothilimthana, Kurt Keutzer

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Tags: Algorithms, Computer vision, CUDA, Image processing, nVidia, nVidia GeForce GTX 680, Prefetch, Tesla C2050

April 17, 2013 by hgpu

Zero-copy I/O processing for low-latency GPU computing

Shinpei Kato, Jason Aumiller, Scott Brandt

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Tags: Algorithms, Benchmarking, CUDA, Data parallelism, nVidia, Plasma physics

April 16, 2013 by hgpu

Novel implementations of recursive discrete wavelet transform for real time computation with multicore systems on chip (SOC)

Mohammad Wadood Majid, Golrokh Mirzaei, Mohsin M. Jamali

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Tags: Algorithms, Compression, Computational Complexity, CUDA, Discrete Wavelet Transform, nVidia, nVidia GeForce GTX 260

April 16, 2013 by hgpu

A Many-core Machine Model for Designing Algorithms with Minimum Parallelism Overheads

Sardar Anisul Haque, Marc Moreno Maza, Ning Xie

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Tags: Algorithms, CUDA, Package

April 15, 2013 by hgpu

Shell: A Spatial Decomposition Data Structure for 3D Curve Traversal on Many-core Architectures

Kai Xiao, Danny Z. Chen, X. Sharon Hu, Bo Zhou

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Tags: Algorithms, CUDA, KD-tree, nVidia, nVidia GeForce GTX 570

April 15, 2013 by hgpu

Efficient Partitioning Based Hierarchical Agglomerative Clustering Using Graphics Accelerators with CUDA

S.A. Arul Shalom, Manoranjan Dash

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Tags: Algorithms, Clustering, CUDA, nVidia, nVidia GeForce 8800 GTX

April 15, 2013 by hgpu

B-Calm: an Open-Source Multi-Gpu-Based 3D-FDTD with Multi-Pole Dispersion for Plasmonics

Pierre Wahl, Dany-Sebastien Ly-Gagnon, Christof Debaes, Jurgen Van Erps, Nathalie Vermeulen, David A. B. Miller, Hugo Thienpont

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Tags: Algorithms, CUDA, Electrodynamics, FDTD, Finite-difference time-domain, nVidia, Package, Tesla C2075

April 13, 2013 by hgpu

NUMA-Aware Image Compositing on Multi-GPU Platform

Pan Wang, Zhi-Quan Cheng, Ralph Martin, Huahai Liu, Xun Cai, Sikun Li

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX 460, nVidia GeForce GTX 480, Rendering

April 12, 2013 by hgpu

High Performance Computing on GPU for Electromagnetic Logging

V.N. Glinskikh, A.E. Kontorovich, M.I. Epov

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Tags: Algorithms, CUDA, Electrodynamics, nVidia, nVidia GeForce GTX 280, nVidia GeForce GTX 460, Tesla C1060

April 12, 2013 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

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high performance computing on graphics processing units: hgpu.org

Programming

Massively Parallel Suffix Array Queries and On-Demand Phrase Extraction for Statistical Machine Translation Using GPUs

Computing Privacy-Preserving Edit Distance and Smith-Waterman Problems on the GPU Architecture

GPU Accelerated Face Detection (thesis)

Communication-Minimizing 2D Convolution in GPU Registers

Zero-copy I/O processing for low-latency GPU computing

Novel implementations of recursive discrete wavelet transform for real time computation with multicore systems on chip (SOC)

A Many-core Machine Model for Designing Algorithms with Minimum Parallelism Overheads

Shell: A Spatial Decomposition Data Structure for 3D Curve Traversal on Many-core Architectures

Efficient Partitioning Based Hierarchical Agglomerative Clustering Using Graphics Accelerators with CUDA

B-Calm: an Open-Source Multi-Gpu-Based 3D-FDTD with Multi-Pole Dispersion for Plasmonics

NUMA-Aware Image Compositing on Multi-GPU Platform

High Performance Computing on GPU for Electromagnetic Logging

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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