@@ -23,7 +23,7 @@ The [arithmetic intensity][2] is a measure of floating-point operations (FLOPs)
In general, the processor frequency [capping][3] has low performance impact for memory bound computations (arithmetic intensity below the [ridge point][2]). For processor bound computations (arithmetic intensity above the [ridge point][2]), the impact is proportional to the frequency reduction.
On Karolina, runtime increase **up to 16%** is observed for arithmeticaly intensive CPU workloads and **up to 10%** for intensive GPU workloads. **No slowdown** is observed for memory bound workloads.
On Karolina, runtime increase **up to 16%** is [observed][4] for arithmeticaly intensive CPU workloads and **up to 10%** for intensive GPU workloads. **No slowdown** is [observed][4] for memory bound workloads.
