NOC:Introduction to Parallel Programming in OpenMP (DVD)

Special Price ₹200.00 Regular Price ₹250.00
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SKU
106102163



Media Storage Type : DVD-ROM

NPTEL Subject Matter Expert : Dr. Yogish Sabharwal

NPTEL Co-ordinating Institute : IIT Delhi

NPTEL Lecture Count : 37

NPTEL Course Size : 3.8 GB

NPTEL PDF Text Transcription : Available and Included

NPTEL Subtitle Transcription : Available and Included (SRT)


Lecture Titles:

Lecture 1 - Introduction to Parallel Programming
Lecture 2 - Parallel Architectures and Programming Models
Lecture 3 - Pipelining
Lecture 4 - Superpipelining and VLIW
Lecture 5 - Memory Latency
Lecture 6 - Cache and Temporal Locality
Lecture 7 - Cache, Memory bandwidth and Spatial Locality
Lecture 8 - Intuition for Shared and Distributed Memory architectures
Lecture 9 - Shared and Distributed Memory architectures
Lecture 10 - Interconnection networks in Distributed Memory architectures
Lecture 11 - OpenMP: A parallel Hello World Program
Lecture 12 - Program with Single thread
Lecture 13 - Program Memory with Multiple threads and Multi-tasking
Lecture 14 - Context Switching
Lecture 15 - OpenMP: Basic thread functions
Lecture 16 - OpenMP: About OpenMP
Lecture 17 - Shared Memory Consistency Models and the Sequential Consistency Model
Lecture 18 - Race Conditions
Lecture 19 - OpenMP: Scoping variables and some race conditions
Lecture 20 - OpenMP: thread private variables and more constructs
Lecture 21 - Computing sum: first attempt at parallelization
Lecture 22 - Manual distribution of work and critical sections
Lecture 23 - Distributing for loops and reduction
Lecture 24 - Vector-Vector operations (Dot product)
Lecture 25 - Matrix-Vector operations (Matrix-Vector Multiply)
Lecture 26 - Matrix-Matrix operations (Matrix-Matrix Multiply)
Lecture 27 - Introduction to tasks
Lecture 28 - Task queues and task execution
Lecture 29 - Accessing variables in tasks
Lecture 30 - Completion of tasks and scoping variables in tasks
Lecture 31 - Recursive task spawning and pitfalls
Lecture 32 - Understanding LU Factorization
Lecture 33 - Parallel LU Factorization
Lecture 34 - Locks
Lecture 35 - Advanced Task handling
Lecture 36 - Matrix Multiplication using tasks
Lecture 37 - The OpenMP Shared Memory Consistency Model

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