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CMPT 431 Antix Project instructions====================================0. rtv (instructor) todos: - collisions - scoring1. Prerequisites - a UNIX-like OS (tested on Linux and OS X) - OpenGL and GLUT - C++, STL, Make2. Obtaining the code: - The original Antix repository is at http://github.com/rtv/Antix - learn about github at http://help.github.com - learn about git at http://git-scm.com - Cloning the repo (to get your local copy to work on) - git clone firstname.lastname@example.org:rtv/Antix.git3. Building and running the code - cd Antix - (edit the Makefile to suit your system: OS X and Linux setups are provided) - make - ./antix4. The Big Task - Extend (or reimplement) Antix to support - 1,000,000 robots - the simulation backend MAY be implemented as multiple threads, processes or hosts - 1000 homes (teams) each with at least one independent controller - controllers MUST be separate OS processes - controllers MAY run on separate hosts to the simulation backend - a visualization of the whole world - the system should run as fast as you can make it, given the time available. - your target platform is the CSIL laboratory. Additionally, access to the CMPT cluster or Amazon Elastic Compute Cloud can be arranged privately or through the instructor. - using git for SCM is _strongly_ recommended. You may find github useful for collaboration, too.5. The First Task - Design a system architecture and development plan that can achieve the Big Task - no code, just design - split your team equally between backend and client-side responsibilities - present a technical argument for your design - why will it work? - what could go wrong? - what is Plan B, C? - what remains to be decided? - present a plan for development and testing, considering balanced workload for team members - presentations will be by 1 person from each team - 20 minutes - use computer, transparencies or blackboard BUT - your slides and notes must be submitted on the day, and should be comprehensible by themselves - Presentations will be in class on tuesday 25 January and followed by class critique.6. Subsequent tasks - depend on your development plan, but each team will report each week, alternating between backend and client sub-teams. Every person presents at least once. - Hint: improve single-thread performance by improving data structures, etc. before using parallelism. This exercise will also help you understand the problem and the code. - The final week of semester and the exam period will be an AI contest using one or more of the online Antix systems you build.8. Getting help - Use the github systems to submit bug reports, pull requests, etc. - Your TA is Abbas Sadat [email@example.com], and Autonomy Lab PhD student with relevant experience. You can ask him anything except to do your project for you. - Use the class mailing list firstname.lastname@example.org for questions and discussions. - Ask Abbas and Richard questions via the mailing list so we can avoid duplicates, etc. Please reserve personal email only for private business.