high performance computing on graphics processing units: hgpu.org

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Age and Gender Classification using Convolutional Neural Networks

Gil Levi, Tal Hassner

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Tags: Benchmarking, Computer science, CUDA, Deep learning, Neural networks, nVidia

May 10, 2015 by hgpu

Numerical Simulation of Melting with Natural Convection Based on Lattice Boltzmann Method and Performed with CUDA Enabled GPU

Wei Gong, Kevyn Johannes, Frederic Kuznik

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Tags: CUDA, Fluid dynamics, Lattice Boltzmann model, Numerical simulation, nVidia, Tesla C2050

May 10, 2015 by hgpu

Tracking Many Solution Paths of a Polynomial Homotopy on a Graphics Processing Unit

Jan Verschelde, Xiangcheng Yu

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Tags: CUDA, Mathematical Software, Mathematics, Numerical Analysis, nVidia, Tesla K20

May 10, 2015 by hgpu

GPU-accelerated micromagnetic simulations using cloud computing

C. L. Jermain, G. E. Rowlands, R. A. Buhrman, D. C. Ralph

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Tags: Cloud, Computational Physics, CUDA, nVidia, nVidia GeForce GTX 770, nVidia GRID K520, Package, Physics, Python

May 10, 2015 by hgpu

Supporting input dependent access pattern algorithms on GPUs using GPUfs

Sagi Shahar, Mark Silberstein

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Tags: Algorithms, CUDA, Image processing, nVidia, nVidia GeForce GTX Titan

May 7, 2015 by hgpu

Activity recognition from videos with parallel hypergraph matching on GPUs

Eric Lombardi, Christian Wolf, Oya Celiktutan, Bulent Sankur

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Tags: Algorithms, Computer science, Computer vision, nVidia, nVidia GeForce GTS 450, nVidia GeForce GTX 560, nVidia GeForce GTX 580, OpenCL

May 7, 2015 by hgpu

AccFFT: A library for distributed-memory 3-D FFT on CPU and GPU architectures

Amir Gholami, Judith Hill, Dhairya Malhotra, George Biros

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Tags: Computer science, CUDA, FFT, MPI, nVidia, Package, Tesla K20

May 7, 2015 by hgpu

Fireflies: New software for interactively exploring dynamical systems using GPU computing

Robert Merrison-Hort

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Tags: Computer science, Differential equations, Mathematical Software, Mathematics, nVidia, nVidia GeForce GTX 460, ODEs, OpenCL, Ordinary differential equations, Package, Python

May 7, 2015 by hgpu

OMP2HMPP: Compiler Framework for Energy-Performance Trade-off Analysis of Automatically Generated Codes

Albert Saa-Garriga, David Castells-Rufas, Jordi Carrabina

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Tags: Code generation, Compilers, Computer science, CUDA, nVidia, Tesla M2050

May 5, 2015 by hgpu

GPU Accelerated Real-Time Collision Handling in Virtual Disassembly

Peng Du, Jie-Yi Zhao, Wan-Bin Pan, Yi-Gang Wang

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Tags: Algorithms, Collision detection, Computer science, CUDA, nVidia, Tesla K20

May 5, 2015 by hgpu

Workload Aware Algorithms for Heterogeneous Platforms

Kishore Kothapalli, Sivaramakrishna Indarapu, Shashank Sharma, Dip Sankar Banerjee, Rohit Nigam

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Tags: Algorithms, Computer science, Heterogeneous systems, nVidia, nVidia GeForce GT 520, nVidia GeForce GTX 580, Performance

May 5, 2015 by hgpu

PerforatedCNNs: Acceleration through Elimination of Redundant Convolutions

Michael Figurnov, Dmitry Vetrov, Pushmeet Kohli

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Tags: CNN, Computer science, CUDA, Deep learning, Machine learning, Neural networks, nVidia, nVidia GeForce GTX 980

May 5, 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

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high performance computing on graphics processing units: hgpu.org

Age and Gender Classification using Convolutional Neural Networks

Numerical Simulation of Melting with Natural Convection Based on Lattice Boltzmann Method and Performed with CUDA Enabled GPU

Tracking Many Solution Paths of a Polynomial Homotopy on a Graphics Processing Unit

Supporting input dependent access pattern algorithms on GPUs using GPUfs

Activity recognition from videos with parallel hypergraph matching on GPUs

AccFFT: A library for distributed-memory 3-D FFT on CPU and GPU architectures

Fireflies: New software for interactively exploring dynamical systems using GPU computing

OMP2HMPP: Compiler Framework for Energy-Performance Trade-off Analysis of Automatically Generated Codes

GPU Accelerated Real-Time Collision Handling in Virtual Disassembly

Workload Aware Algorithms for Heterogeneous Platforms

PerforatedCNNs: Acceleration through Elimination of Redundant Convolutions

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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