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P arallel Systems

This lecture by Guy Tel-Zur covers key concepts in parallel programming, focusing on shared memory and the OpenMP framework. Topics include performance metrics like speedup, efficiency, and scalability, as well as Amdahl's law in context. The session emphasizes practical applications and troubleshooting in parallel computing. Participants are encouraged to refer to relevant materials, including SC99 tutorials and OpenMP documentation. There's also a discussion on latency factors in data centers and student presentations. Join us to enhance your understanding of parallel programming methodologies.

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P arallel Systems

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Presentation Transcript

  1. Parallel Systems Guy Tel-Zur Lecture 8

  2. Agenda • Parallel Programming in Shared Memory - 1. Introduction2. OpenMP • SC12 presentation • Students’ Presentations

  3. Latency Factors in Data Center Reference: Intel's 10 Gigabit Ethernet boost pushes out Infiniband

  4. Comments about the final presentations • Pay attention to: • Parallel Computing aspects. For example: speedup, efficiency, scalability, computation to communication ratio, how close your program to Amdahl’s law prediction?, run time vs. problem size. • See more instructions in Lecture #1 slides • Please hurry! The time is running fast now….

  5. OpenMPfrom Wikipedia מומלץ להסתכל בסימוכין הנוספים באתר הויקיפדיה!

  6. Relevant slides in “SC99 tutorial” Pages: 1-64, 109, 112-116,140-149, 143

  7. Q&A שלום גיא  .לא ברור לי למה אבל המחשב נתקע לי בכל פעם שאני מריץ איתחול על מטריצה ,ממימד 100*100 ומעלה. האם זה סביר? יש פתרון לכך ? Open DevC++ demos: m_size.c and m_size2.c

  8. Game of LifeA clip by GadiLahav

  9. More references OpenMP in Visual C++ http://msdn.microsoft.com/en-us/library/tt15eb9t(VS.80).aspx Quick Reference Card: http://openmp.org/mp-documents/OpenMP3.1-CCard.pdf http://www.plutospin.com/files/OpenMP_reference.pdf

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