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GPU Volume Voxelization: Exploration of the performance characteristics of different GPU-based implementations

Grigory Glukhov, Aleksandra Soltan

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Tags: 3D Graphics and Realism, AMD RX Vega 64, ATI, Neural networks, nVidia, nVidia GeForce GTX 1070, nVidia GeForce RTX 2070, Thesis, Voxelization, Vulkan

June 23, 2019 by hgpu

Multi-GPU Rendering with Vulkan API

Lars Olav Tolo

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Tags: AMD Radeon RX 460, ATI, Computer science, Heterogeneous systems, nVidia, nVidia GeForce GTX 1080, nVidia GeForce GTX 970, Package, Thesis, Vulkan

May 26, 2019 by hgpu

Vulkan 1.1.97 – A Specification (with all registered Vulkan extensions)

The Khronos Vulkan Working Group

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Tags: Computer science, Vulkan, Whitepaper

January 13, 2019 by hgpu

A Cross-platform Evaluation of Graphics Shader Compiler Optimization

Lewis Crawford, Michael O'Boyle

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Tags: 3D Graphics and Realism, Computer science, Optimization, Performance, Real-time graphics, Shaders, Virtual reality, Vulkan

August 11, 2018 by hgpu

Migrating from OpenGL ES to Vulkan

Imagination Technologies Limited

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Tags: 3D Graphics and Realism, OpenGL, Rendering, Vulkan

June 28, 2018 by hgpu

DeepMon: Mobile GPU-based Deep Learning Framework for Continuous Vision Applications

Loc N. Huynh, Youngki Lee, Rajesh Krishna Balan

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Tags: Algorithms, Computer science, Deep learning, OpenCL, Package, Vulkan

June 25, 2017 by hgpu

Evaluation of Multi-Threading in Vulkan

Axel Blackert

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Tags: AMD Radeon R9 280X, ATI, Computer science, OpenGL, Rendering, Vulkan

January 4, 2017 by hgpu

DeepLearningKit – an GPU Optimized Deep Learning Framework for Apple’s iOS, OS X and tvOS developed in Metal and Swift

Amund Tveit, Torbjorn Morland, Thomas Brox Rost

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Tags: Computer science, Deep learning, Neural networks, OpenCL, Package, Video, Vulkan

May 17, 2016 by hgpu

JIT-Compilation for Interactive Scientific Visualization

J. S. Mueller-Roemer, C. Altenhofen

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Tags: Cloud, Computer science, LLVM, nVidia, nVidia Grid K2, OpenCL, PTX, Visualization, Vulkan

May 7, 2016 by hgpu

An Exploratory Study of High Performance Graphics Application Programming Interfaces

Joseph Shiraef

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Tags: AMD Radeon R9 290X, ATI, Computer science, DirectX, nVidia, nVidia GeForce GTX 970, OpenGL, Performance, Thesis, Vulkan

April 6, 2016 by hgpu

DeepLearningKit – an Open Source Deep Learning Framework for Apple’s iOS, OS X and tvOS developed in Metal and Swift

Amund Tvei, Torbjorn Morland, Thomas Brox Rost

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Tags: Computer science, Deep learning, Machine learning, Neural networks, OpenCL, Package, Vulkan

January 7, 2016 by hgpu

Over-synchronization in GPU Programs

profile_util: simple C++ library to report memory, timing, thread affinity

Profile Util library: A quick and easy way to get MPI, OpenMP and GPU runtime information

MaC: Mamba CPU performance predictor

MambaCPU: Enhanced Correlation Mining with State Space Models for CPU Performance Prediction

Mixed-precision finite element kernels

Mixed-precision finite element kernels and assembly: Rounding error analysis and hardware acceleration

SHMT: The Simultaneous and Heterogenous Multithreading project

General-Purpose Computing on Tensor Processors

Superpipeline: A Universal Approach for Reducing GPU Memory Usage in Large Models

EnergyUCB-Bandit

Online Energy Optimization in GPUs: A Multi-Armed Bandit Approach

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high performance computing on graphics processing units: hgpu.org

GPU Volume Voxelization: Exploration of the performance characteristics of different GPU-based implementations

Multi-GPU Rendering with Vulkan API

Vulkan 1.1.97 – A Specification (with all registered Vulkan extensions)

A Cross-platform Evaluation of Graphics Shader Compiler Optimization

Migrating from OpenGL ES to Vulkan

DeepMon: Mobile GPU-based Deep Learning Framework for Continuous Vision Applications

Evaluation of Multi-Threading in Vulkan

DeepLearningKit – an GPU Optimized Deep Learning Framework for Apple’s iOS, OS X and tvOS developed in Metal and Swift

An Exploratory Study of High Performance Graphics Application Programming Interfaces

DeepLearningKit – an Open Source Deep Learning Framework for Apple’s iOS, OS X and tvOS developed in Metal and Swift

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Over-synchronization in GPU Programs

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