AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
TL;DR
An adaptive tracing strategy is presented that is optimal and records the minimal number of shared-memory references required to exactly replay executions and makes run-time tracing decisions by detecting and tracing a certain type of race condition on-the-fly.
A debugging workflow that combines dynamic analysis with directed unit tests is introduced, and ACF, an infrastructure for automating this workflow is presented, indicating that ACF can help developers to isolate specific inputs causing an error, thus simplifying the process of locating faulty statements.
Causal reversibility has emerged as an effective technique for debugging concurrent systems. In particular, rolling back and replaying a concurrent program with causal consistency has been found very helpful in debugging concurrency bugs. In channel-based communication, queue ordering creates dependencies that prevent...
DeterV is a deterministic parallel runtime which uses Verus to verify its correctness and equivalence to serial execution in the input order and attains a 3:1 proof-to-code ratio and incurs only trivial runtime overhead compared to an unverified baseline.
It is shown how the protocol pseudocode can be expressed easily, essentially line-by-line, in a precise high-level language, DistAlgo, for direct execution in distributed systems.
The Message Passing Interface (MPI) is the standard programming model for high-performance computing, yet nondeterministic scheduling in concurrent executions makes reliability assurance highly challenging. Beyond deadlocks, property-related bugs such as modifying a send buffer before a nonblocking send completes or ac...
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