CC 2024 (series) / Main Conference /
Accurate Coverage Metrics for Compiler-generated Debugging Information
Sun 3 Mar 2024 10:40 - 11:00 at Harris - Debugging, Profiling and Parallelism Chair(s): Steven Derrien
Many debugging tools rely on compiler-produced metadata to present a source-language view of program states, such as variable values and source line numbers. While this tends to work for unoptimised programs, current compilers often generate only partial debugging information in optimised programs. Current approaches for measuring the extent of coverage of local variables are based on crude assumptions (for example, assuming variables could cover their whole parent scope) and are not comparable from one compilation to another. In this work, we propose some new metrics, computable by our tools, which could serve as motivation for language implementations to improve debugging quality.
Sun 3 MarDisplayed time zone: London change
Sun 3 Mar
Displayed time zone: London change
10:20 - 12:00 | Debugging, Profiling and ParallelismMain Conference at Harris Chair(s): Steven Derrien Univ Rennes, Inria, CNRS, IRISA | ||
10:20 20mTalk | APPy: Annotated Parallelism for Python on GPUs Main Conference Tong Zhou Georgia Institute of Technology, Jun Shirako Georgia Institute of Technology, Vivek Sarkar Georgia Institute of Technology | ||
10:40 20mTalk | Accurate Coverage Metrics for Compiler-generated Debugging Information Main Conference DOI Pre-print | ||
11:00 20mTalk | FlowProf: Profiling Multi-threaded Programs using Information-Flow Main Conference | ||
11:20 20mTalk | Reducing the Overhead of Exact Profiling by Reusing Affine Variables Main Conference | ||
11:40 20mTalk | Stale Profile Matching Main Conference |