Instruct: Given a scientific paper title, retrieve paper titles that are cited by the given paper.
Query: Emulating the Power Consumption Behavior of Server Workloads Using CPU Performance Counters
Real time power estimation and thread scheduling via performance counters
Performance and Power Management for Cloud Infrastructures
Compiler-Directed Dynamic Voltage and Frequency Scaling for CPU Power and Energy Reduction
Towards better CPU power management on multicore smartphones
CoScale: Coordinating CPU and Memory System DVFS in Server Systems
Deadline-aware Power Management in Data Centers
CPU Scheduling for Power/Energy Management on Multicore Processors Using Cache Miss and Context Switch Data
workload modeling for computer systems performance evaluation .
Power and Energy Management for Server Systems
Accurate CPU Power Modeling for Multicore Smartphones
A Portable Programming Interface for Performance Evaluation on Modern Processors
The Effect of Metrics and Workloads on the Evaluation of Computer Systems
Analysis of dynamic power management on multi-core processors
Quantitative workload analysis and prediction using Google cluster traces
Assessing trends over time in performance, costs, and energy use for servers
Characterizing the memory behavior of Java workloads: a structured view and opportunities for optimizations
Characterizing storage workloads with counter stacks
Using Runtime Measured Workload Characteristics in Parallel Processor Scheduling
System-level max power (SYMPO): a systematic approach for escalating system-level power consumption using synthetic benchmarks
WattApp: an application aware power meter for shared data centers
A conformal dual-polarized all-metal vivaldi array for feeding broadband luneburg lens
Virtual reality exposure therapy in anxiety disorders: a quantitative meta-analysis
RPUF: Physical Unclonable Function with Randomized Challenge to resist modeling attack
Rollup: Non-Disruptive Rolling Upgrade with Fast Consensus-Based Dynamic Reconfigurations
Accurate and efficient regression modeling for microarchitectural performance and power prediction