high performance computing on graphics processing units: hgpu.org

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Local Alignment Tool Based on Hadoop Framework and GPU Architecture

Che-Lun Hun, Guan-Jie Hua

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Tags: Biology, Cloud, CUDA, Hadoop, MapReduce, nVidia, nVidia GeForce GTS 480, Sequence alignment

April 19, 2014 by hgpu

The Reconstruction Toolkit (RTK), an open-source cone-beam CT reconstruction toolkit based on the Insight Toolkit (ITK)

S. Rit, M. Vila Oliva, S. Brousmiche, R. Labarbe, D. Sarrut, G. C. Sharp

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Tags: Computed tomography, CT, CUDA, Medicine, nVidia, OpenCL, Package, Tesla M2090

April 18, 2014 by hgpu

Use of Multiple GPUs to Speedup the Execution of a Three-Dimensional Computational Model of the Innate Immune System

M. P. Xavier, T. M. do Nascimento, R. W. dos Santos, M. Lobosco

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Tags: Biological Physics, CUDA, Medicine, nVidia, Tesla M2050

April 18, 2014 by hgpu

DBMS Index for Hierarchical Data Using Nested Intervals and Residue Classes

Vladimir Volonkin

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Tags: Computer science, CUDA, Databases, nVidia

April 18, 2014 by hgpu

Comparative Study of Frequent Itemset Mining Techniques on Graphics Processor

Dharmesh Bhalodiya, Chhaya Patel

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Tags: Algorithms, Computer science, CUDA, Data mining, Databases, nVidia

April 18, 2014 by hgpu

A Survey of Methods For Analyzing and Improving GPU Energy Efficiency

Sparsh Mittal, Jeffrey S. Vetter

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Tags: comparison, Computer science, cpu, CUDA, Energy-efficient computing, FPGA, Hardware Architecture, nVidia

April 18, 2014 by sparsh0mittal

Energy-Efficient FPGA Implementation for Binomial Option Pricing Using OpenCL

Valentin Mena Morales, Pierre-Henri Horrein, Amer Baghdadi, Erik Hochapfel, Sandrine Vaton

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Tags: Energy-efficient computing, Finance, FPGA, nVidia, nVidia GeForce GTX 660 Ti, OpenCL, Option pricing

April 17, 2014 by hgpu

Modeling Image Patches with a Generic Dictionary of Mini-Epitomes

George Papandreou, Liang-Chieh Chen, Alan L. Yuille

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Tags: Computer science, Computer vision, CUDA, nVidia, nVidia GeForce GTX 650 M, SIFT, Tesla K20

April 17, 2014 by hgpu

Importance Sampling of Realistic Light Sources

Heqi Lu

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Tags: 3D Graphics and Realism, Computer science, CUDA, DirectX, nVidia, nVidia GeForce GTX 680, Rendering, Thesis

April 17, 2014 by hgpu

Feasibility Analysis of Bilateral Filtering by General Purpose Graphical Processing Unit Computing

Shruti S.Agrawal, C.K.Kurve

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Tags: Algorithms, CUDA, Filtering, Image processing, nVidia, Signal processing, Tesla K20

April 17, 2014 by hgpu

Bayesian Neural Networks for Genetic Association Studies of Complex Disease

Andrew L. Beam, Alison Motsinger-Reif, Jon Doyle

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Tags: Bayesian, Biology, CUDA, Machine learning, Neural networks, nVidia, Package, Python

April 17, 2014 by hgpu

Performance-aware component composition for GPU-based systems

Usman Dastgeer

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Tags: Computer science, CUDA, Heterogeneous systems, nVidia, Programming techniques, Tesla C1060, Tesla C2050, Thesis

April 16, 2014 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

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high performance computing on graphics processing units: hgpu.org

Applications

The Reconstruction Toolkit (RTK), an open-source cone-beam CT reconstruction toolkit based on the Insight Toolkit (ITK)

Use of Multiple GPUs to Speedup the Execution of a Three-Dimensional Computational Model of the Innate Immune System

DBMS Index for Hierarchical Data Using Nested Intervals and Residue Classes

Comparative Study of Frequent Itemset Mining Techniques on Graphics Processor

A Survey of Methods For Analyzing and Improving GPU Energy Efficiency

Energy-Efficient FPGA Implementation for Binomial Option Pricing Using OpenCL

Modeling Image Patches with a Generic Dictionary of Mini-Epitomes

Importance Sampling of Realistic Light Sources

Feasibility Analysis of Bilateral Filtering by General Purpose Graphical Processing Unit Computing

Bayesian Neural Networks for Genetic Association Studies of Complex Disease

Performance-aware component composition for GPU-based systems

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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