Optimizing Library Interactions: Functionality and Modularity

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Compiler verification: Challenges and Benefits

Explores the challenges and benefits of compiler verification, emphasizing the importance of verifying compilers for critical software.

Parallel Computing: Principles and OpenMP

Covers the principles of parallel computing and introduces OpenMP for creating concurrent code from serial code.

Code Optimization: Speeding-up Analyses

Explores techniques to speed up dataflow analyses and discusses the importance of node ordering and post-order traversal.

Superscalars: Execution and Cache Requirements

Explores superscalar processors and cache optimization for improved performance.

Memory Consistency Models: Performance Impact and Parallel Computing

Covers memory consistency models, parallel computing, atomic subroutines, GPU architecture, and multithreading.

Programming Models: Overview and Examples

Explores programming models for big data processing, including Spark's RDDs and optimizations.

Compiler Extension Lab

Covers the Compiler Extension Lab, focusing on adding new functionality to a simple functional language compiler.

Hadoop Ecosystem: Architectural Choices & MapReduce Programming

Explores the Hadoop ecosystem's architecture and MapReduce programming model, emphasizing strengths and limitations.

Datalog Evaluation with Multi-Stage Programming

Explores Datalog evaluation, DSL embedding, semantics, fixpoint algorithms, and multi-stage programming.

Dataflow Analysis: Translation Inefficiencies and Optimizations

Explores translation inefficiencies, optimizations, hoisting functions, closure conversion, and dataflow analysis concepts like available expressions and live variables.