Energy-Aware High-Performance Computing: Survey of State-of-the-Art Tools, Techniques, and Environments

Table 8

Tools for prediction and/or simulation of energy/power consumption in an HPC system.

Tool	Target system	Work	Description
GSSim/DCworms	Grid	[80, 81]	A scheduler simulation concerning performance and energy consumption for complex grid architectures
MERPSYS	Grid/cluster/compute node	[82, 83]	Used to simulate the energy consumption of a cluster compute nodes
CloudSim	Cloud	[84]	Used for simulation of VM provisioning in a cloud environment
SimGrid	Grid	[85]	Focused on its versatility and scalability
GENSim	Cloud	[86]	Used to simulate green energy prediction
OMNet++, INET	Cluster	[58]	Used for simulation of switching off the unused nodes in a cluster
GDCSim	Data center	[87]	Used for holistic evaluation of HPC and Internet data centers
GreenCloud	Data center	[88]	Used for evaluation of cloud data centers with carious infrastructure architectures
TracSim	Cluster	[89]	Used for maximizing the performance for a given power cap
ASKALON	Cloud	[90]	Used for cloud simulation with a given power cap
Energy-aware HyperSim-G	Grid	[74]	Used for assessment of energy-aware scheduling algorithms
GPU design space exploration	GP GPU	[39]	Dedicated for multiobjective GP GPU evaluation and selection
Sniper + McPAT	CPU	[35]	Used for multicore CPU energy-aware simulation