The first (vertical dashed red line) has an arithmetic intensity that is underneath the peak bandwidth ceiling (diagonal solid black line), and is then memory-bound.

Dec 30, 2021 · Widespread adoption of DNN in different domains makes performance optimization a highly impactful area. In this post we learn about op limits and a measure for …

Arithmetic Intensity (AI) and achieved performance (FLOP/s)¶ To characterize an application on a Roofline, three pieces of information need to be collected about the application: run time, total …

Feb 7, 2022 · The most basic Roofline model can be used to bound Floating-point performance as a function of machine peak performance, machine peak bandwidth, and arithmetic intensity. …

Arithmetic intensity, cache locality, instruction mix... More in the next few talks! This material is based upon work supported by the Advanced Scientific Computing Research Program in the …

Jul 26, 2018 · Arithmetic Intensity is algorithm specific and measures the number of operations per unit data. It is equivalent to “data reuse” i.e., the number of operations that can be …

It relies on the concept of Computational Intensity (CI) – sometimes also called Arithmetic or Operational Intensity. ! The Roofline Model provides a relatively simple way for performance …

First, arithmetic intensity and machine balance measure traffic between the processor and cache, whereas we want to measure traffic between the caches and DRAM. This subtle change …

Apr 2, 2020 · Before we get to the Roofline Model it is also important to understand the independent variable in the model: Arithmetic Intensity. Put simply arithmetic intensity (AI) is …

Attainable GFLOPs/sec Min = (Peak Memory BW × Arithmetic Intensity, Peak Floating Point Perf.) Given the hardware invested to do graphics well, how can be supplement it to improve …