Profile-Guided HW/SW Mechanism To Efficiently Reduce Branch Mispredictions In Data Center Applications (Best Paper Award)


A new technical paper titled “Whisper: Profile-Guided Branch Misprediction Elimination for Data Center Applications” was published by researchers at University of Michigan, ARM, University of California, Santa Cruz, and Texas A&M University.

This work was awarded a best paper award at October’s 2022 Institute of Electrical and Electronics Engineers (IEEE)/Association for Computing Machinery International Symposium on Microarchitecture (MICRO) held in Chicago.

“The paper demonstrates how to use a special kind of Boolean formula to predict hard branches, increasing the effective capacity of modern branch predictors,” said the paper’s co-author Dr. Daniel A. Jiménez in this Texas A&M University article.

Find the technical paper here or here. Published Oct. 2022.

T. A. Khan et al., “Whisper: Profile-Guided Branch Misprediction Elimination for Data Center Applications,” 2022 55th IEEE/ACM International Symposium on Microarchitecture (MICRO), 2022, pp. 19-34, doi: 10.1109/MICRO56248.2022.00017.

Leave a Reply

(Note: This name will be displayed publicly)