Due to high energy prices and reductions in funding, we implement a set of energy saving measures at the IT4Innovations National Supercomputer Center. The measures are selected such as to minimize the performance impact and achieve significant cost, enegy and carbon footprint reduction effect.
Due to high energy prices and reductions in funding, we have implemented a set of energy saving measures at the IT4Innovations National Supercomputer Center. The measures are selected such as to minimize the performance impact and achieve significant cost, energy, and carbon footprint reduction effect.
The energy saving measures are effective as of 1.2.2023.
The energy saving measures are effective as of **1.2.2023**.
## Karolina
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@@ -27,7 +27,7 @@ On Karolina, relative time increase factor **up to 1.3** is observed for intensi
### Energy Saved
The enegy efficiency in floating point operations per energy unit is increased by up to 30% for CPU workloads, up to 25% for GPU workloads. The efficiency depends on the arithmetic intensity, however energy savings are always achieved.
The energy efficiency in floating point operations per energy unit is increased by up to 30% for CPU workloads, up to 25% for GPU workloads. The efficiency depends on the arithmetic intensity, however energy savings are always achieved.
