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Home»Syllabus of Parallel Computing

Syllabus of Parallel Computing

Syllabus of Parallel Computing

What is Parallel and Multicore Computer Architecture?

Learn about the fundamentals of parallel and multicore computer architecture, including the design and implementation of processors with multiple cores. Explore how these architectures enhance performance.

Introduction to Multicore Processors: Design and Implementation

Discover the key aspects of designing and implementing multicore processors. Explore the benefits and challenges of utilizing multiple cores on a single chip.

Applications of Multicore Processors: Networking, Video, and More

Dive into various applications that leverage multicore processors, such as networking, video processing, continuum simulations, particle simulations, and graph analytics. Learn how these applications benefit from parallel computing.

Communication and Synchronization in Multicore Architectures

Understand communication and synchronization algorithms and mechanisms in multicore architectures. Explore how cores collaborate and exchange information efficiently.

Locality in Parallel Computations: Optimizing Performance

Explore the importance of locality in parallel computations. Learn how optimizing data locality can significantly improve the performance of multicore systems.

Computational Models in Parallel Computing

Delve into different computational models used in parallel computing, including shared memory, stream processing, message passing, and data parallelism. Understand how each model contributes to parallelism.

Multicore Mechanisms: Synchronization, Cache Coherence, and Multithreading

Learn about essential mechanisms for multicore architectures, such as synchronization techniques, cache coherence protocols, and multithreading. Understand how these mechanisms impact performance.

Performance Evaluation of Multicore Systems

Explore methods for evaluating the performance of multicore systems. Learn how to measure and analyze the efficiency and effectiveness of parallel computing solutions.

Compilation and Runtime Systems for Parallel Computing

Understand the role of compilation and runtime systems in parallel computing. Discover how these systems optimize code for multicore architectures and manage parallel execution.

Multicore Project: Hands-On Implementation

Get insights into the hands-on experience of working on a substantial project related to multicore architecture. Learn by doing and apply your knowledge to real-world scenarios.

pdf of Parallel Computing Syllabus

Massachusetts Institute of Technology

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