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Human Media Multicore Computing Lecture 1 : Course Overview

Human Media Multicore Computing Lecture 1 : Course Overview. Bong-Soo Sohn Associate Professor School of Computer Science and Engineering Chung-Ang University. Course Description. Almost all recent PCs and smart phones/tablets are equipped with multicore CPUs

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Human Media Multicore Computing Lecture 1 : Course Overview

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  1. Human MediaMulticore ComputingLecture 1 : Course Overview Bong-Soo Sohn Associate Professor School of Computer Science and Engineering Chung-Ang University

  2. Course Description • Almost all recent PCs and smart phones/tablets are equipped with multicore CPUs • Manycore GPUs are often adopted. • Originally designed for 3D games • Can be applied to general purpose (computing-intensive) applications • Current trends in CPU/GPU technology indicate that the numbers of cores are expected to increase, rather than clock speeds.

  3. Course Description • parallel processing techniques utilizing multicore/manycore hardware become increasingly important for performance enhancement • In this course, we will mainly focus on parallel programming principles and practice that utilize multicore/manycore computing system • especially for human media applications

  4. Course Objectives • Understand multicore computing hardware • Understand principles of parallel programming • Practice actual parallel programming on real multicore/manycore computing systems with various libraries • JAVA thread, pthread, C++ thread, • OpenMP, CUDA, thrust • Conduct project on multicore computing for human media applications

  5. Reference Books • No Required Textbook. • Reference Books • “An Introduction to Parallel Programming”, Peter S. Pacheco • “The Art of Multiprocessor Programming”, Maurice Herlihy, Nir Shavit • “Programming Massively Parallel Processors: A Hands-on Approach”, David Kirk, Wen-mei Hwu • Some of online materials will be used.

  6. Evaluation • Midterm Exam : 35% • Final Exam : 35% • Assignments + Projects : 25% • Class Participation and Attendance : 5% • You may get F grade if you miss ¼ of the whole classes

  7. Instructor Information • Name : Bong-Soo Sohn • Office: 310-738 • Email : bongbong@cau.ac.kr ( the best way to reach me) • Tel : 820-5843 • Office hour : Wednesday 3pm-4pm, or individual appointment • Please feel free to contact me for any of class issues.

  8. Announcement • Class Website • http://cau.ac.kr/~bongbong/multicore18 • Class information such as lecture notes is accessible through this website • We will also use e-Class for the submission of homework and project results. • Programming Assignments • I encourage you to study and discuss together for doing programming assignments. • However, you must do programming YOURSELF. • You must not share any of source code with other students. • Academic dishonesty (e.g. cheating, plagiarism, and etc.) is seriously prohibited. Heavy penalty may be imposed for that.

  9. Course Format • Lecture • powerpoint Slides • Programming Projects (3~4) • Actual parallel programming on multicore systems.

  10. Schedule

  11. Schedule

  12. Remarks • This course assumes that students have basic knowledge of C, C++ and JAVA grammars and programming ability. • We will have significant amount of programming assignments. If your programming ability is not good enough, it may be difficulty to follow the class. • Lecture is given in English • Q/A can be in Korean or English

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