MLIR: Compiler Infrastructure

Related lectures (31)

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Explores optimizing recursive queries in database systems using Datalog and semirings, discussing the challenges and solutions in data analytics.

Covers the KKT conditions for optimization with constraints, essential for solving constrained optimization problems efficiently.

Explores optimizing storage with NVMe arrays in DBMS, comparing in-memory and on-disk operations.

Explores energy systems modeling, optimization, and cost analysis for efficient operations.

Discusses materialization challenges in databases, query execution strategies, and performance implications.

Covers the optimization with constraints, focusing on the Karush-Kuhn-Tucker (KKT) conditions.

Explores the micro-architectural analysis of modern DBMS, focusing on performance optimization and data cache stall mitigation.

Covers optimization methods, focusing on gradient methods and line search techniques.

Explores optimization methods, including unconstrained problems, linear programming, and heuristic approaches.

Explores managing large codebases, higher abstraction levels, CodeDB, Datalog queries, and program analysis.