Part I. Tau User Guide

Table of Contents

1. Tau Instrumentation

1.1. Types of Instrumenation

1.2. Dynamic instrumentation through library pre-loading

1.3. TAU scripted compilation

1.3.1. Instrumenation

1.3.2. Compiler Based Instrumentation

1.3.3. Source Based Instrumentation

1.3.4. Options to TAU compiler scripts

1.4. Selectively Profiling an Application

1.4.1. Custom Profiling

2. Profiling

2.1. Running the Application

2.2. Reducing Performance Overhead with TAU_THROTTLE

2.3. Profiling each event callpath

2.4. Using Hardware Counters for Measurement

3. Tracing

3.1. Generating Event Traces

4. Analyzing Parallel Applications

4.1. Text summary

4.2. ParaProf

4.3. Jumpshot

5. Quick Reference

6. Some Common Application Scenario

6.1. Q. What routines account for the most time? How much?

6.2. Q. What loops account for the most time? How much?

6.3. Q. What MFlops am I getting in all loops?

6.4. Q. Who calls MPI_Barrier() Where?

6.5. Q. How do I instrument Python Code?

6.6. Q. What happens in my code at a given time?

6.7. Q. How does my application scale?