high performance computing on graphics processing units: hgpu.org

hgpu.org » WebGL

The Risks of WebGL: Analysis, Evaluation and Detection

Alex Belkin, Nethanel Gelernter, Israel Cidon

View

Tags: Computer science, nVidia, nVidia GeForce GTX 1080, Security, WebGL

May 1, 2019 by hgpu

TensorFlow.js: Machine Learning for the Web and Beyond

Daniel Smilkov, Nikhil Thorat, Yannick Assogba, Ann Yuan, Nick Kreeger, Ping Yu, Kangyi Zhang, Shanqing Cai, Eric Nielsen, David Soergel, Stan Bileschi, Michael Terry, Charles Nicholson, Sandeep N. Gupta, Sarah Sirajuddin, D. Sculley, Rajat Monga, Greg Corrado, Fernanda B. Viegas, Martin Wattenberg

View

Tags: Computer science, CUDA, Deep learning, Java, Machine learning, nVidia, nVidia GeForce GTX 1080, OpenGL, Package, TensorFlow, WebGL

February 17, 2019 by hgpu

Optimizing Web Virtual Reality

Rabimba Karanjai

View

Tags: Benchmarking, Computer science, Java, OpenGL, Rendering, Thesis, Virtual reality, WebGL

August 26, 2018 by hgpu

Automated Testing of Graphics Shader Compilers

Alastair F. Donaldson, Hugues Evrard, Andrei Lascu, Paul Thomson

View

Tags: AMD Radeon R9 Fury, ARM, ATI, ATI Radeon HD 7700, Compilers, Computer science, GLSL, Intel, nVidia, nVidia GeForce GTX 770, nVidia GeForce GTX Titan X, OpenGL, Rendering, Security, Shaders, WebGL

September 21, 2017 by hgpu

GPU-based visualization of domain-coloured algebraic Riemann surfaces

Stefan Kranich

View

Tags: Computer science, Graphics, OpenGL, Visualization, WebGL

July 17, 2015 by hgpu

Face.evoLVe: High-Performance Face Recognition Library based on PyTorch & PaddlePaddle

Face.evoLVe: A High-Performance Face Recognition Library

OpenCLDecompiler

A method for decompilation of AMD GCN kernels to OpenCL

PULP: a (Parallel Ultra-Low-Power) open-source multi-core computing platform

DNN is not all you need: Parallelizing Non-Neural ML Algorithms on Ultra-Low-Power IoT Processors

StreamBlocks: A compiler for heterogeneous dataflow computing

StreamBlocks: A compiler for heterogeneous dataflow computing

Bempp-cl: a boundary element method library

Designing a high-performance boundary element library with OpenCL and Numba

futhark-stencil-benchmarks

Optimisation and GPU code generation of Stencils for Futhark

POCL: Portable Computing Language

Bringing OpenCL to Commodity RISC-V CPUs

K-FAC: PyTorch Distributed K-FAC Preconditioner

KAISA: An Adaptive Second-order Optimizer Framework for Deep Neural Networks

pystencils

Opening the Black Box: Performance Estimation during Code Generation for GPUs

APNN-TC: Accelerating Arbitrary Precision Neural Networks on Ampere GPU Tensor Cores

APNN-TC: Accelerating Arbitrary Precision Neural Networks on Ampere GPU Tensor Cores

See all packages

* * *

* * *

2021

April

27-29

Munich, Germany

9th International Workshop on OpenCL and SYCL, 2021

2020

December

10-14

Virtually in Barcelona, Spain

The 18th International Conference on High Performance Computing & Simulation (HPCS), 2020

2020

November

24-27

Naha, Okinawa, Japan

The Fifth International Workshop on GPU Computing and AI (GCA), 2020

2021

January

13-15

Shenzhen, China

2nd International Conference on Frontiers of Intelligent Manufacturing and Automation (CFIMA’21), 2021

2020

December

14-16

Bangkok, Thailand

International Conference on Cyber Physical Systems and IoT (CPSIOT’20), 2020

+

HGPU group © 2010-2021 hgpu.org

All rights belong to the respective authors

Login | Sitemap | Feedback | Policy

Contact us: