Date of Award

6-2019

Degree Name

MS in Computer Science

Department

Computer Science

Advisor

Aaron Keen

Abstract

This thesis presents the design, implementation, and analysis of WasmProf, an instrumenting profiler for WebAssembly programs. WebAssembly is a compiled language designed for use on the web that, at the time of this writing, is still being actively developed. At present, performance analysis for WebAssembly programs mostly consists of browsers’ built-in sampling profilers. These profilers work well in many cases but only give a statistical estimation of the distribution of function calls and are, therefore, not well-suited for more fine-grained analysis. The WasmProf instrumenting profiler fills this analysis gap. WasmProf is capable of tracking the number of calls made and the time spent in every function called within the profiled program. Analysis of WasmProf demonstrates performance equivalent to or slightly better than similar tools that perform instrumentation and dynamic analysis on WebAssembly programs.

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