Green Computing as an Engineering Discipline
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The document discusses green computing and software optimization to reduce energy consumption. It notes that up to 50% of an organization's energy costs can be attributed to IT departments, and up to 90% of ICT hardware energy is due to software. The author describes analyzing and improving software energy efficiency through techniques like SPELL, which uses spectrum-based fault localization to identify probable energy hot spots in source code. Initial studies found SPELL helped developers reduce energy consumption by 26% on average while spending 43% less time optimizing. The author concludes by describing the Green Software Lab collaboration between several universities.
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Green Computing as an Engineering Discipline
- 1. Green Computing as an Engineering Discipline Rui Pereira Talk @ InfoBlender ruipereira@di.uminho.pt 29/03/2017 greenlab.di.uminho.pt
- 3. Global energy system is unsustainable 3
- 4. Green Computing 4 Caught the attention of many companies allowing them to save: “close to 50% of the energy costs of an organization can be attributed to the IT departments” - [PICMET, 2009] “up to 90% of energy used by ICT hardware can be attributed to software” - [The Greenhouse Gas Protocol Report, 2013]
- 5. Green Software Reducing energy consumption through software analysis and optimization Problem: How to analyze How to interpret How to improve 5
- 6. Green Software Problems (extended to programmers): How to analyze How to interpret How to improve 6 Mining questions about software energy consumption - [MSR’14] Integrated energy-directed test suite optimization - [ISTA’14] Seeds: A software engineer’s energy-optimization decision support framework - [ICSE’14]
- 7. Energy vs. Power 7 Power (w) – rate (or effort) at which that work is done Energy (J) – amount of work done Power can change constantly while Energy is the accumulation Energy = Power x Seconds Power Energy 100W360,000 J = x 3,600s
- 8. Is faster greener? 8 Understanding energy behaviors of thread management constructs - [OOPSLA’14] Energy-aware software: Challenges, opportunities and strategies - [Journal of Computational Science’13] Haskell in green land: Analyzing the energy behavior of a purely functional language - [SANER’16] An experimental survey of energy management across the stack - [OOPSLA’14] Power and energy implications of the number of threads used - [PPMG’15] Using the greenup, powerup, and speedup metrics to evaluate software energy efficiency - [IGSC’15] slower Is faster greener?
- 10. The influence of the JCF on overall energy consumption 10 Results (25k pop)
- 11. The influence of the JCF on overall energy consumption 11 Faster Slower
- 12. The influence of the JCF on overall energy consumption 12
- 18. SPELL - Spectrum-based Energy Leak Localization 18
- 19. Spectrum-based Fault Localization (SFL) 19
- 20. Spectrum-based Fault Localization (SFL) 20 Error vector Oracle Low High Energy Energy Energy Energy Problem: Energy cannot be defined as binary values
- 21. SPELL 21
- 22. SPELL – initial studies 22 Developers found the information to be very useful Spent on average 43% less time Produced more energy efficient programs (26% less energy on average) SPELL is: Language independent Multi level analysis Multi hardware component analysis Points to probable hot spots in source code
- 23. SPELL – initial studies 23 Developers found the information to be very useful Spent on average 43% less time Produced more energy efficient programs (26% less energy on average) SPELL is: Language independent Multi level analysis Multi hardware component analysis Points to probable hot spots in source code
- 24. Green Software Lab 24 3 Year FCT project University of California @ Irvine University of Kosice Ericson @ Budapest
- 25. Green Software Lab 25 Find more info @ our page: http://greenlab.di.uminho.pt/ Questions?
- 26. Green Computing as an Engineering Discipline Rui Pereira Talk @ InfoBlender ruipereira@di.uminho.pt 29/03/2017 greenlab.di.uminho.pt
Notes de l'éditeur
- Patterns, habits, structures algorithms
- Aware of the energy consumption problem, many times seeking help in resolving this, misconceptions within the programming community as to what causes highenergy consumption, how to solve them a heavy lack of support and knowledge for energy-aware development
- Most comment perception to the EC problem = performance issue (reduction in time = reduction in energy) I would suggest this as a good starting point if someone were to ask me how to optimize, as do others. But the opposite has been also observed, where an increase in time brought about a decrease in energy.
- Control group