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GPU accelerated Monte Carlo simulation of Brownian motors dynamics with CUDA

J. Spiechowicz, M. Kostur, L. Machura

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Tags: Computational Physics, CUDA, Differential equations, Monte Carlo integration, Monte Carlo simulation, nVidia, nVidia GeForce GTX 680, Physics, Stochastic simulation

September 19, 2014 by hgpu

Smart Multi-Task Scheduling for OpenCL Programs on CPU/GPU Heterogeneous Platforms

Yuan Wen, Zheng Wang, Michael F.P. O'Boyle

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Tags: ATI, ATI Radeon HD 7970, Computer science, Heterogeneous systems, Machine learning, nVidia, nVidia GeForce GTX 590, OpenCL, Task scheduling

September 17, 2014 by hgpu

GPU Accelerated Parallel Iris Segmentation

Kritika Kurani

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Tags: Algorithms, Biometrics, CUDA, Image processing, nVidia, nVidia Quadro 1000 M, Thesis

September 17, 2014 by hgpu

High Performance Client-Side Web Programming with SPOC and Js_of_ocaml

Mathias Bourgoin, Emmanuel Chailloux

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Tags: Computer science, Java, nVidia, nVidia GeForce GTX 680, OpenCL

September 17, 2014 by hgpu

GPU Implementation of a Deep Learning Network for Financial Prediction

Robin Kumar, Amandeep Kaur Cheema

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Tags: Artificial intelligence, Finance, Java, Machine learning, Neural networks, OpenCL

September 17, 2014 by hgpu

Using hybrid GPU/CPU kernel splitting to accelerate spherical convolutions

P. M. Sutter, Benjamin D. Wandelt, Franz Elsner

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Tags: Astrophysics, Cosmology, CUDA, nVidia, nVidia GeForce GTX 480

September 17, 2014 by hgpu

The GPUVerify Method: a Tutorial Overview

Alastair F. Donaldson

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Tags: Computer science, CUDA, nVidia, OpenCL, Overview, Package, Programming techniques, Tutorial

September 16, 2014 by hgpu

Distance Threshold Similarity Searches on Spatiotemporal Trajectories using GPGPU

Michael Gowanlock, Henri Casanova

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Tags: Algorithms, Computer science, Databases, nVidia, OpenCL, Tesla C2075

September 16, 2014 by hgpu

High-accuracy Optimization by Parallel Iterative Discrete Approximation and GPU Cluster Computing

Di Zhao

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Tags: Cluster computing, Computer science, CUDA, GPU cluster, Machine learning, MPI, nVidia, nVidia GeForce GTX 660

September 16, 2014 by hgpu

Performance analysis of a 240 thread tournament level MCTS Go program on the Intel Xeon Phi

Ali Mirsoleimani, Aske Plaat, Jos Vermaseren, Jaap van den Herik

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Tags: Artificial intelligence, Benchmarking, Computer science, Intel Xeon Phi, Performance

September 16, 2014 by hgpu

Machine learning for ultrafast X-ray diffraction patterns on large-scale GPU clusters

Tomas Ekeberg, Stefan Engblom, Jing Liu

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Tags: Algorithms, Biological Physics, Biology, Biomolecules, Cluster computing, Computational Complexity, CUDA, GPU cluster, Machine learning, nVidia, nVidia GeForce GTX 680, OpenMPI

September 16, 2014 by hgpu

Exploratory Data Analysis of Software Repositories via GPU Processing

Jose Ricardo da Silva Junior, Esteban Clua, Leonardo Murta, Anita Sarma

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Tags: Computer science, CUDA, Exploratory data analysis, nVidia, nVidia GeForce GTX 580

September 15, 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

GPU accelerated Monte Carlo simulation of Brownian motors dynamics with CUDA

Smart Multi-Task Scheduling for OpenCL Programs on CPU/GPU Heterogeneous Platforms

GPU Accelerated Parallel Iris Segmentation

High Performance Client-Side Web Programming with SPOC and Js_of_ocaml

GPU Implementation of a Deep Learning Network for Financial Prediction

Using hybrid GPU/CPU kernel splitting to accelerate spherical convolutions

The GPUVerify Method: a Tutorial Overview

Distance Threshold Similarity Searches on Spatiotemporal Trajectories using GPGPU

High-accuracy Optimization by Parallel Iterative Discrete Approximation and GPU Cluster Computing

Performance analysis of a 240 thread tournament level MCTS Go program on the Intel Xeon Phi

Machine learning for ultrafast X-ray diffraction patterns on large-scale GPU clusters

Exploratory Data Analysis of Software Repositories via GPU Processing

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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