अपनी प्राथमिकता निर्धारित करें
फ़ॉन्ट स्केलिंग
अप्राप्ति
पृष्ठ अनुमापन
अप्राप्ति
रंग समायोजन
भा.प्रौ.सं.कानपुर

CS433A - Parallel Programming

IITK

Prerequisites:

3-0-0-9

Course Contents

  1. Introduction: Why parallel computing; Ubiquity of parallel hardware/multi cores; Processes and threads; Programming models: shared memory and message passing; Speedup and efficiency; Amdahl’s Law.
  2. Introduction to parallel hardware: Multi cores and multiprocessors; shared memory and message passing architectures; cache hierarchy and coherence; sequential consistency.
  3. Introduction to parallel software: Steps involved in developing a parallel program; Dependence analysis; Domain decomposition; Task assignment: static and dynamic; Performance issues: 4C cache misses, inherent and artifactual communication, false sharing, computation to communication ratio as a guiding metric for decomposition, hot spots and staggered communication.
  4. Shared memory parallel programming: Synchronization: Locks and barriers; Hardware primitives for efficient lock implementation; Lock algorithms; Relaxed consistency models; High level language memory models (such Java and/or C++); Memory fences. Developing parallel programs with UNIX fork model: !PC with shared memory and message passing; UNIX semaphore and its aliornone semantic. Example case studies (see note below for some details). Developing parallel programs with POSIX thread library: Thread creation; Thread join; Mutex; Condition variables. Example case studies (see note below for some details). Developing parallel programs with Open MP directives: Parallel for; Parallel section; Static, dynamic, guided, and runtime scheduling; Critical sections and atomic operations; Barriers; Reduction. Example case studies (see note below for some details).
  5. Message passing programming: Distributed memory model; Introduction to message passing interface (MPI); Synchronization as Send/Recvpair; Synchronous and asynchronous Send fRecv; Collective communication: Reduce, Broadcast, Data distribution, Scatter, Gather; MPI derived data types. Example case studies (see note below for some details).


 

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