mahsanchez Goto Github PK
Type: User
Type: User
The goal of this project is to accelerate the forward propagation step of the Convolutional Neural Network (CNN) algorithm using GPUs.
Primary repository for the Trilinos Project
Implementation of SYCL and C++ standard parallelism for CPUs and GPUs from all vendors: The independent, community-driven compiler for C++-based heterogeneous programming models. Lets applications adapt themselves to all the hardware in the system - even at runtime!
Combined array and automatic differentiation library in C++
A tutorial for developers who want to learn about how to containerized applications on top of AWS using AWS Fargate. You will build a sample website that leverages infrastructure as code, containers, CI/CD, and more! If you're planning on running this, let us know @ [email protected]. At re:Invent 2018, these sessions were run as CON2
Amazon Redshift Cookbook, Published by Packt
Distributed multigrid linear solver library on GPU
apache spark notes
This solution automatically deploys a single web access control list (web ACL) with a set of AWS WAF rules designed to filter common web-based attacks.
Building Low Latency Applications with CPP by Packt Publishing
Compiler Construction Principles and Practice by Kenneth C. Louden
C++ High Performance, published by Packt
C++ High Performance Second Edition, published by Packt
C++ HPC Tutorial materials
Cooperative primitives for CUDA C++.
CUDA training materials
Samples for CUDA Developers which demonstrates features in CUDA Toolkit
Training materials associated with NVIDIA's CUDA Training Series (www.olcf.ornl.gov/cuda-training-series/)
Emulating DMA Engines on GPUs for Performance and Portability
A framework that support executing unmodified CUDA source code on non-NVIDIA devices.
CUDA Templates for Linear Algebra Subroutines
Interest Rate Modelling for Counterparty Credit Risk (HJM)
Interest Rate Modelling for Counterparty Credit Risk (GPU-Acceleration)
Interest Rate Modelling for Counterparty Credit Risk (LMM-IR)
Data Engineering with AWS, Published by Packt
DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
Example programs from "Discovering Modern C++" 2nd edition (3rd code update)
Material for re:Invent 2017 - CMP316 - Workshop: Hedge Your Own Funds: Run Monte Carlo Simulations on Amazon EC2 Spot Fleets
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.