Preparing for Class

Week 1

• Prior to Monday's class

  • Think Julia Ch 1: The Way of the Program

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

• Prior to Wednesday's class

  • Setup your account on Roar Collab/ICDS-ACI

  • 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

• Prior to Monday's class

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

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

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

• Prior to Wednesday's class

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

Week 3

• No class Monday (Labor Day Holiday)

• Prior to Wednesday's class

  • 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 Monday's class

  • Submit Project Proposal

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

  • 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)

• Prior to Wednesday's class

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

  • Why does Julia work so well?

Week 5

• Prior to Monday's class

  • 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

• Prior to Monday's class

  • 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)

• Prior to Wednesday's class

  • Best Practices for Code Review

Week 7

• Prepare for Code Review

• No new readings, but be helpful to review:

• Best Practices for Code Review

• Code Reiew Best Practices from Palantir Blog

• 13 Code Review Standards Inspired by Google

Week 8

• Prior to Monday's class

  • 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

• Prior to Monday's class

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

Week 10

• Prior to Monday's class

  • An Introduction to GPU Programming from UC Berkeleys' CS 267

  • Introduction to GPU Programming in Julia

Week 11

• Prior to Monday's class

  • 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

• Prior to Monday's class

  • 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