Category Archives: PERF

Welcome CS teachers and students!

Posted on by

[Be sure to visit Living Computers in Seattle. SIGCSE 2017 attendees are admitted free during the conference. I visited the museum today and it was a lot of fun! K-12 teachers will enjoy the hands on exhibits.]

The annual ACM Special Interest Group on Computer Science Education (SIGCSE 2017) Technical Symposium is next week (March 8 – 11) in Seattle, Washington. The symposium brings together educators at all levels (K-12 and higher ed) to exchange and discuss the latest methods, practices and results in computer science education.

I don’t often advertise it, but the Sand, Software, Sound site has many resources for educators and students alike. You can browse these resources by clicking on one of the WordPress topic buttons (Raspberry Pi, PERF, Courseware, etc.) above. You can also search for a topic or choose from one of the categories listed in the right sidebar.

Here are a few highlights.

I taught many computer-related subjects during my career and have posted course notes, slides and old projects. The four main sections are:

  • CS2 data structures: Undergraduate data structures course suitable for advanced placement students.
  • Computer design: Undergraduate computer architecture and design which uses a multi-level modeling approach.
  • VLSI systems: Graduate course on VLSI architecture, design and circuits which is suitable for undergraduate seniors.
  • Topics in computer architecture: Material for a special topics seminar about computer architecture (somewhat historical).

Please feel free to dig through these materials and make use of them.

Software and hardware performance analysis formed a major thread throughout my professional life. I recommend reading my series of tutorials on the Linux PERF tool set for software performance analysis:

The ARM11 microarchitecture summary is background material for the PERF tutorial. Program profiling is a good way to bring computer architecture to life and to teach students how to analyze and assess the execution speed of their programs.

There are two additional tutorials and getting started guides for teachers and students working on Raspberry Pi:

Music technology and computer-based music-making have been two of my chief interests over the years. The Arduino section of the site has several of my past projects using the Arduino for music-making. You should also check out my recent blog posts about the littleBits synth modules and littleBits Arduino. Please click on the tags and links at the bottom of each post in order to chase down material.

You might also enjoy my tutorial on software synthesizers for Linux and Raspberry Pi. The tutorial is a getting started guide for musicians of all stripes — music teachers and students are certainly welcome, too!

PERF tutorial part 3 is now on-line

Posted on by

Just wrapped up Part 3 of the Linux-tools PERF tutorial.

The tutorial now consists of three parts. Part 1 covers the most basic PERF commands and shows how to find program hot-spots using software performance events. Part 2 discusses hardware performance events and performance counters, and demonstrates how to measure hardware performance events using PERF counting mode. Part 2 introduces several derived performance metrics like instructions per second (IPC) and applies these metrics to the sample application programs.

Part 3 is the newest addition to the tutorial series. It builds on parts 1 and 2, showing how to use hardware performance events and counter sampling to profile an application program. Part 3 discusses sampling period and frequency, the sampling process, overhead, statistical accuracy/confidence and other practical concerns.

I hope you find the PERF tutorial to be useful in your work! Although I produced the example data on the ARM-based Raspberry Pi, the commands and techniques will also work on x86.

PERF tutorial part 2 now available

Posted on by

Part 2 of a three part tutorial about Linux-tools PERF is now available.

Part 1 of the series shows how to find hot execution spots in an application program. It demonstrates the basic PERF commands using software performance events such as CPU clock ticks and page faults.

Part 2 of the series — just released — introduces hardware performance counters and events. I show how to count hardware events with PERF and how to compute and apply a few basic derived measurements (e.g., instructions per cycle, cache miss rate) for analysis. Part 3 is in development and will show how to use sampling to profile a program and to isolate performance issues in code.

All three parts of the series use the same simple, easy to understand example: matrix multiplication. One version of the matrix multiplication program illustrates the impact of severe performance issues and what to look for in PERF measurements. The issues are mitigated in the second, improved version of the program. PERF measurements for the improved program are presented for comparison.

The test platform is the latest second generation Raspberry Pi 2 running Raspbian Wheezy 3.18.9-v7+. The Raspberry Pi 2 has a 900MHz quad-core ARM Cortex-A7 (ARMv7) processor with 1GByte of primary memory. Although the tutorial series demonstrates PERF on Cortex-A7, the same PERF commands and analytical techniques can be employed on other architectures like x86.

A special note for Raspberry Pi users. The current stable distribution of Raspbian Wheezy — 3.18.7-v7+ February 2015 — does not support PERF hardware events. Full PERF support was enabled in a later, intermediate release and full PERF support should be available in the next stable release of Raspbian Wheezy. In the meantime, Raspberry Pi 2 users may profile their programs using PERF software events as shown in Part 1 of the tutorial. First generation Raspberry Pi users are also restricted to software performance events.

Brave souls may try rpi-update to upgrade to the latest and possibly unstable release. I recommend waiting for the next stable release unless you really, really know what you are doing and are willing to chance an unstable kernel with potentially catastrophic consequences.