CSinParallel Modules and the Topics in the Curriculum 2013 Core Libby Shoop Math, Statistics, and...

CSinParallel Modules and theTopics in the Curriculum 2013

Core

Libby ShoopMath, Statistics, and Computer Science

Macalester College

http://csinparallel.org

The CSinParallel Project

• http://csinparallel.org• Modular PDC material for CS courses– Short units• Conceptual• Active

– Add to different courses

• Many CSinParallel modules have CS2013 PDC concepts and topics, both core tier 1 and 2

http://csinparallel.org

Modules

• Provide intro reading and class activities• Online or you can download and edit yourself• We’re working on adding more corresponding

homework problems for depth, demonstration aspects of the curriculum guidelines

http://csinparallel.org

CS Curriculum 2013 (CS2013)

• To accommodate different kinds of programs, CS2013 spreads the CS “core” knowledge units (KUs) across two tiers:– All programs should cover 100% of the Tier 1 KUs– Programs should cover 80-90% of the Tier 2 KUs

• Different programs may decide to cover different Tier 2 KUs.

http://csinparallel.org

Module Coverage: PD, SF• Introductory Parallel Concepts• Patternlets in Parallel Programs• Multicore Programming with OpenMP• Concurrent Access to Data Structures

– Java and C++• Parallel Sorting• Introduction to Map-Reduce• Distributed Computing Fundamentals• GPU computing• Heterogeneous computing• Exemplar applications: drug design, pandemic epidemiology

Stay tuned… More on the way!

Tier 1

Tier 2,E

http://csinparallel.org

Story: a mapping exercise

• Gave me insight into what we chose to emphasize so far in the modules

• Gives me ideas for new material

http://csinparallel.org

Levels of Mastery in Learning Objectives

• Familiarity• Usage– Apply

• Assessment– Choose between alternatives

http://csinparallel.org

What is in SF (p. 186)?

http://csinparallel.org

Parallel Computing ConceptsPatternletsMulticore Programming with Open MP

http://csinparallel.org

Parallel Computing ConceptsPatternletsMulticore Programming with Open MPIntroduction to Map-ReduceExemplars: Drug Design and Pandemic

http://csinparallel.org

Parallel Computing ConceptsMulticore Programming with Open MPExemplars: Drug Design and Pandemic

http://csinparallel.org

What is in PD (p. 147)?

http://csinparallel.org

PD, p. 145

• Because parallelism interacts with so many areas of computing, … many curricula will put different parts of the knowledge area in different courses, rather than in a dedicated course.

• While we acknowledge that computer science is moving in this direction and may reach that point, in 2013 this process is still in flux and we feel it provides more useful guidance to curriculum designers to aggregate the fundamental parallelism topics in one place

http://csinparallel.org

Parallel Computing ConceptsPatternletsMulticore Programming with Open MP

http://csinparallel.org

Parallel Computing ConceptsPatternletsMulticore Programming with Open MPDrug design exemplarPandemic exemplar

http://csinparallel.org

Parallel Computing ConceptsPatternletsMulticore Programming with Open MPDistributed Computing FundamentalsConcurrent Access to Data Structures

http://csinparallel.org

Parallel Computing ConceptsPatternletsParallel SortingIntroduction to Map-Reduce

http://csinparallel.org

Parallel Computing ConceptsPatternletsMulticore Programming with Open MPDistributed Computing Fundamentals