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hgpu.org » Programming » CUDA

Speeding up Automatic Hyperparameter Optimization of Deep Neural Networks by Extrapolation of Learning Curves

Tobias Domhan, Jost Tobias Springenberg, Frank Hutter

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Tags: Benchmarking, Computer science, CUDA, Deep learning, Machine learning, Neural networks, nVidia, nVidia GeForce GTX Titan

May 15, 2015 by hgpu

MRCUDA: MapReduce Acceleration Framework Based on GPU

Jie Wang, Yanshuo Yu, Hang Cui, Shenglai Yang

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Tags: Algorithms, Computer science, CUDA, MapReduce, nVidia, nVidia GeForce GTX 460, Sorting

May 15, 2015 by hgpu

The 3D Flow Field Around an Embedded Planet

Jeffrey Fung, Pawel Artymowicz, Yanqin Wu (Toronto)

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Tags: Astrophysics, CUDA, Earth and Planetary Astrophysics, Fluid dynamics, nVidia, nVidia GeForce GTX Titan

May 15, 2015 by hgpu

A Survey of CPU-GPU Heterogeneous Computing Techniques

Sparsh Mittal and Jeffrey S. Vetter

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Tags: APU, cpu, CPU-GPU heterogeneous computing, CUDA, load balancing, OpenCL, workload partitioning

May 13, 2015 by sparsh0mittal

Improving CUDA DNA Analysis Software with Genetic Programming

William B. Langdon, Brian Yee Hong Lam, Justyna Petke, Mark Harman

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Tags: Algorithms, Artificial intelligence, Bioinformatics, Computer science, CUDA, Genetic programming, nVidia, Package, Tesla K20, Tesla K40

May 12, 2015 by hgpu

Development of Parallel Architectures for Radar/Video Signal Processing Applications

Amin Jarrah

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Tags: Algorithms, CUDA, Discrete Wavelet Transform, FPGA, Heterogeneous systems, Image processing, nVidia, nVidia GeForce GTX 260, Signal processing, Thesis

May 12, 2015 by hgpu

Density Estimations for Approximate Query Processing on SIMD Architectures

Witold Andrzejewski, Artur Gramacki, Jaroslaw Gramacki

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Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 480, Package

May 12, 2015 by hgpu

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

Efficient GPU Implementation of Multi-Precision Integer Division

ParEval: A Parallel Code Evaluation Benchmark

ParEval-Repo: A Benchmark Suite for Evaluating LLMs with Repository-level HPC Translation Tasks

FlashSparse: Minimizing Computation Redundancy for Fast Sparse Matrix Multiplications on Tensor Cores

Libra: Synergizing CUDA and Tensor Cores for High-Performance Sparse Matrix Multiplication

exa-AMD: Exascale Accelerated Materials Discovery

Accelerated discovery and design of Fe-Co-Zr magnets with tunable magnetic anisotropy through machine learning and parallel computing

WiLLM: An Open Wireless LLM Communication System

Vcc: the Vulkan Clang Compiler

No More Shading Languages: Compiling C++ to Vulkan Shaders

hpcbench: A set of benchmarking utilities for biomolecular simulation tools

Engineering Supercomputing Platforms for Biomolecular Applications

HPCTransCompile: An AI Compiler Generated Dataset for High-Performance CUDA Transpilation and LLM Preliminary Exploration

chemtrain: Training Molecular Dynamics Potentials in JAX

chemtrain-deploy: A parallel and scalable framework for machine learning potentials in million-atom MD simulations

microSYCL: SYCL micro-benchmarks repository

Exploring SYCL as a Portability Layer for High-Performance Computing on CPUs

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high performance computing on graphics processing units: hgpu.org

Programming

Speeding up Automatic Hyperparameter Optimization of Deep Neural Networks by Extrapolation of Learning Curves

MRCUDA: MapReduce Acceleration Framework Based on GPU

The 3D Flow Field Around an Embedded Planet

A Survey of CPU-GPU Heterogeneous Computing Techniques

Improving CUDA DNA Analysis Software with Genetic Programming

Development of Parallel Architectures for Radar/Video Signal Processing Applications

Density Estimations for Approximate Query Processing on SIMD Architectures

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

Recent source codes

Efficient GPU Implementation of Multi-Precision Integer Division

ParEval: A Parallel Code Evaluation Benchmark

FlashSparse: Minimizing Computation Redundancy for Fast Sparse Matrix Multiplications on Tensor Cores

exa-AMD: Exascale Accelerated Materials Discovery

WiLLM: An Open Wireless LLM Communication System

Vcc: the Vulkan Clang Compiler

hpcbench: A set of benchmarking utilities for biomolecular simulation tools

HPCTransCompile: An AI Compiler Generated Dataset for High-Performance CUDA Transpilation and LLM Preliminary Exploration

chemtrain: Training Molecular Dynamics Potentials in JAX

microSYCL: SYCL micro-benchmarks repository

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