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Covers Solver-Aided Programming, integrating SMT solvers for program verification, synthesis, and debugging, along with challenges in building solver-aided tools.
Explores optimizing library interactions, functionality challenges, and modularity in modern workloads, emphasizing strong boundaries between systems and instruction-level optimizations.
Explores congestion control challenges, emphasizing the need for robust network systems and performance verification to enhance internet performance and address issues like starvation and low utilization.
Introduces formal verification and its advantages over traditional testing methods, discussing automated theorem proving and compiling correctness statements into verification conditions.
