Lecture#1

Trends are clear

Virtualization & Clouds

Hybrid computing

Big Data

Green computing

Trends are clear

General purpose hardware

Specialized software

Open data

Open source

Skilled software developers are required

Syllabus

Why this course?

Physicist with programming skills is better than just physicist

Put the landmarks

Software development is a learnable skill

Logistics

One lecture per week + a real-life example

Weekly assignments

Three projects

Numerous tutorials

Course virtual machine image

Block #1: Infrastructure

Computer architecture Linux OS

Amazon AWS

How it’s made. How to leverage good parts and avoid bad ones.

Block #2: Languages

Python C++ review

Java review: optional

How to choose right tool for the job.

Block #3: Tools & Workflow

Revision Control Systems: git, Github, BitBucket

Build automation: GNU make Documentation: Sphinx

Testing and Debugging: nose framework, pdb

How to be a good citizen in software development world.

Block #4: Software Design

Basic algorithms

Design patterns

How to create elegant and complex software architecture.

Block #5: Parallel software

Profiling and optimizations

Threads and OpenMP

MPI

CUDA

How to achieve performance.