CSE 591: Energy-Efficient Computing
CSE 591: Energy-Efficient Computing
Lecture 9
SLEEP: processor
Anshul Gandhi
347, CS building
anshul@cs.stonybrook.edu
dreamweaver paper
DVFS limitations
PowerNap limitation
Request batching
Weave Scheduling
Dream Processor
Server power breakdown
Sensitivity to setup time
Sensitivity to #cores
Sensitivity to utilization
barely_alive paper
Motivation
•
AutoScale for stateful servers is hard
Setup time
Cache servers
Data analytics
•
“barely alive” states (hypothetical)
Keep memory and/or disk alive
Turn other components off
Useful during load spikes
Barely alive states
Handling Data Updates
•
Barely alive states can keep memory
active, thus allowing live updates
•
PowerNap would have to wake up to
update, and then go back to sleep
reduces sleep time
•
Can use an embedded processor with
small amount of memory
limited by memory size
increases setup time
Energy-efficient computing strategies for stateful servers such as Dream Processor, Barely Alive States, and handling data updates. Learn about limitations like DVFS, PowerNap, and sensitivity to setup time, cores, and utilization. Discover techniques like Request Batching, Weave Scheduling, and Server Power Breakdown.
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Presentation Transcript
CSE 591: Energy-Efficient Computing Lecture 9 SLEEP: processor Anshul Gandhi 347, CS building anshul@cs.stonybrook.edu
Motivation AutoScale for stateful servers is hard Setup time Cache servers Data analytics barely alive states (hypothetical) Keep memory and/or disk alive Turn other components off Useful during load spikes
Barely alive states State Components powered off Components powered on Embedded processor, 1 fan, 1 n/w interface, memory (self-refresh) All cores, disks, all but one fan, all but one n/w interface BA1/2 BA3 Same Multiple n/w interfaces BA4 Same + embedded processor Multiple cores + fans BA5 Same + embedded processor Same + disks
Handling Data Updates Barely alive states can keep memory active, thus allowing live updates PowerNap would have to wake up to update, and then go back to sleep reduces sleep time Can use an embedded processor with small amount of memory limited by memory size increases setup time
