Review Article
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 |
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