Distributed Memory Model, MPI, and the Deadlock Trap
How the Distributed Memory Model splits a program into independent processes, how MPI handles message passing, and how a naive send/receive order causes deadlock.
Introduction to AWS ML Services and Amazon SageMaker
AWS ML Services, led by Amazon SageMaker, help teams build, train, and deploy their own models. This post covers SageMaker Studio, Distributed Training, and Clarify.
AWS AI Services Explained: 13 Ready-to-Use ML Capabilities
AWS's machine learning lineup can be overwhelming. This guide covers the AI Services layer: 13 ready-made use cases you can call via API, no model training needed.
What Is Parallel Programming? A Beginner's Guide
Learn what parallel programming is, how it differs from traditional single-threaded (serial) code, and why today's multi-core hardware makes it essential for engineers.
LINE Bot Tutorial: Build Your First Echo Bot
Learn to build your first LINE chatbot with Python and Django: install the SDK, configure Channel credentials and a Webhook, then deploy the Echo Bot to Heroku.
What Is Heroku, and How Is It Different From AWS?
Heroku looks like the fast way to ship an app, but it actually runs on top of AWS. This post explains Heroku, Dynos, and why teams choose a PaaS over AWS directly.
How to Create a LINE Bot in LINE Developers
A step-by-step guide to registering a LINE Developers account, creating a Provider and Channel, and enabling the Webhook so your own code can reply to users.