Preparing for Class

Week 1

• Prior to Friday's class

  • Log in to the Lynx cluster to verify your account is set up

  • Read Github tutorial (at least through “Fork a Repo”,)

• This week

  • Think Julia Ch 1: The Way of the Program

  • The Rationale for Julia: Getting Started with Julia Programming (6pgs avaliable via "First Pages" as Preview/"Look Inside!")

  • Writing Scientific Software Ch 2 (22pgs): Scientific Computation and numerical analysis

  • If it will help you with the lab: Think Julia Ch 2: Variables, Expressions & Statements

Week 2

• Writing Scientific Software Ch 3: Priorities (6pg)

• Writing Scientific Software Ch 4: Famous Disasters (4pg)

• Best Practices for Scientific Computing: Sec. 1-4 (6pg)

• Best Practices for Scientific Computing: Sec. 5-9 (5pg)

Week 3

• Writing Scientific Software Ch 7: Software Design (26pg, ok to skip 7.11-12)

• A beginner's guide to Big-O notation

• Big-O Cheat Sheet (a useful reference, not to read end-to-end)

Week 4

• Prior to Friday's class

  • Writing Scientific Software Ch 17.3: Profiling (2pg)

• This Week

  • Writing Scientific Software Ch 6: Computer Organization (12pg)

  • Why does Julia work so well?

  • Recommended reading of either:

    • Introduction to High Performance Computing for Scientists and Engineers Ch 1: Modern Processors (32pg) -or-

    • Introduction to High-Performance Computing Ch 1-1.3.4.1: Single-processor Computing (13pg)

Week 5

• Introduction to High Performance Computing for Scientists and Engineers Ch 2: Serial Optimization (26pg) and/or

• Performance Tips (just the bold section headings is enough for now; come back to read more about any specific tip when it applies to your project)

Week 6

• Writing Scientific Software Ch 14: Memory Allocation & Garbage Collection (excluding 4.5; 11pg)

• Writing Scientific Software Ch 12.1: Caches & memory hierarchies, 12.4 Threashing, 12.5 Designing for memory hierarchies, 12.6 Dynamic data structures and memory hierarchies (pg)

• Latency Numbers Every Programmer Should Know

• Optionally one of

  • Introduction to High Performance Computing for Scientists and Engineers Ch 3 Data Access Optimization (excluding 3.1.2, 3.3, 3.3; 20pg)

  • Introduction to High-Performance Computing Ch 1.7: Programming strategies for high performance (16pg)

Week 7

• Prepare for Code Review

• Prior to Friday's class

  • Best Practices for Code Review

• This week

  • Code Reiew Best Practices from Palantir Blog

  • 13 Code Review Standards Inspired by Google

Week 8

• Introduction to Parallel Computing Sec B-E -or-

• Introduction to High-Performance Computing Ch 2.1-2.4: Parallel Computing (19pg) -or-

• Introduction to High Performance Computing for Scientists and Engineers:

  • Ch 4 Parallel Computers (20pg) -and-

  • Ch 5 Basics of Parallelization (22pg)

Week 9

• Distributed Processing with Julia (stop after Parralel Map and Loops)

Week 10

• Introduction to GPU Programming in Julia

Week 11

• Best Practices for Scientific Computing: (Sec 2; yes, let's all read it again!)

• Best Practices for Scientific Computing: (Reference list on last page, just in case you didn't notice it before!)

Week 12

• Writing Scientific Software Ch 17.1: Make (4pg; if using C/C++ or Fortran for project) -or-

• Julia Package Development: Sec. 1-3 (stop after Updating Packages; if using Julia for project)

Week 13-15

• None