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Related lectures (30)
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Implementing Combiners
Covers the implementation of combiners in parallel programming in Scala, including efficient combine methods and set data structures.
Principles of Parallelism
Covers the basics of parallelism, including physical examples, historical context, multicore era, and parallel collections in Scala.
Introduction to Multiprocessor Architecture
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Covers multiprocessor architecture, sustainable computing, AI model training impact, and parallel programming fundamentals.
Multiprocessors: Overview and Challenges
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Covers the evolution and challenges of multiprocessors, emphasizing energy efficiency, parallel programming, cache coherence, and the role of GPUs.
Parallel Computing: Principles and OpenMP
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Covers the principles of parallel computing and introduces OpenMP for creating concurrent code from serial code.
Parallel Programming I
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Covers the basics of parallel programming, including concurrency, forms of parallelism, synchronization, and programming models like PThreads and OpenMP.
Data-Parallel Programming: Vector & SIMD Processors
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Explores data-parallel programming with vector processors and SIMD, and introduces MapReduce, Pregel, and TensorFlow.
Parallel Programming in Scala: First Class Tasks
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Covers first-class tasks for flexible parallel computation in Scala.
Introduction to LabVIEW Programming
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Introduces LabVIEW programming, covering memory management, data types, and parallel programming concepts, with hands-on demonstrations.
Optimizing Software: Locality & Scheduling
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Explores software optimizations for cache efficiency, parallel execution, and load balancing.
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