Workshop Overview part of Parallel Computing in the Computer Science Curriculum:Workshops:Pacific Northwest 2016
Multi-core computers with increasing core counts are here to stay, and distributed cloud computation has become a staple of industry innovation. How can instructors help today's undergraduate computer science ...

Remora part of Parallel Computing in the Computer Science Curriculum:Platform Resources:PPPs
Remora offers a free, secure, scalable, and virtual cluster for students and instructors to explore principles of Parallel and Distributed Computing (PDC). Remora is a virtual, application based cluster that runs entirely in user space and requires no installation. Because of this, Remora is a free cluster that can be carried in the pocket of an instructor or student from class to class, to quickly convert an existing computer lab into a cluster.

SIGCSE 2016 Special Session: part of Parallel Computing in the Computer Science Curriculum:Workshops:SIGCSE 2016
The Micro-Cluster Showcase: 7 Inexpensive Beowulf Clusters for Teaching PDC 10:45 AM - 12 noon, Thursday March 3, 2016 Mississippi Room Presenters: Joel Adams, Calvin College Jacob Caswell, St. Olaf College ...

Parallel Processes in Python part of Parallel Computing in the Computer Science Curriculum:Modules:Modules Mini-collection
This module is designed for use in the latter half of a semester-long CS1 course. It introduces students to the concepts of forking child processes to do work in parallel and how multiple concurrent processes can coordinate using a shared data queue.

Program part of Parallel Computing in the Computer Science Curriculum:Workshops:Delaware Valley Region CS Educators
Wednesday, July 23 7:00 - 9:00 Reception (location: Zubrow Commons) Thursday, July 24 7:30 - 8:45 Community breakfast and introductions (Location: Zubrow Commons) Who are you? What is your institution like? How ...

Instructor Example: Optimizing CUDA for GPU Architecture part of Parallel Computing in the Computer Science Curriculum:Modules:Modules Mini-collection
This module, designed for instructors to use as an example, explains how to take advantage of the CUDA GPU architecture to provide maximum speedup for your CUDA applications using a Mandelbrot set generator as an example.

WMR Exemplar: LastFM million-song dataset part of Parallel Computing in the Computer Science Curriculum:Modules:Modules Mini-collection
This module demonstrates how hadoop and WMR can be used to analyze the lastFM million song dataset. It incorporates several advanced hadoop techniques such as job chaining and multiple input.

WMR Exemplar: Flickster network data part of Parallel Computing in the Computer Science Curriculum:Modules:Modules Mini-collection
The exercises in this module use a network of friendships on the social movie recommendation site Flixster. Students will use it to learn how to analyze networks and chain jobs, using the WebMapReduce interface.

CSinParallel 1: Using Map-Reduce to Teach Parallel Programming Concepts Across the CS Curriculum part of Parallel Computing in the Computer Science Curriculum:Workshops:SIGCSE 2013
Part 1 -- Fundamentals; Introductory Courses This first half of the workshop introduces map-reduce computing through the WebMapReduce (WMR)simplified interface to Hadoop, then shares our experience teaching ...

Program part of Parallel Computing in the Computer Science Curriculum:Workshops:Delaware Valley Region CS Educators
Wednesday, July 23 7:00 - 9:00 Reception (location: Zubrow Commons) Thursday, July 24 7:30 - 8:45 Community breakfast and introductions (Location: Zubrow Commons) Who are you? What is your institution like? How ...