---- datatemplateentry publication ---- template : publications:display_template title : Measuring the Latency of Graphics Frameworks on X11-Based Systems date_date : 2023-04-23 template : publications:display_template authors_ : [[people:andreas_schmid|Andreas Schmid]], [[people:raphael_wimmer|Raphael Wimmer]] epub_url : https://epub.uni-regensburg.de/54287/1/framework-latency-authorversion.pdf publisher_url : https://dl.acm.org/doi/10.1145/3544549.3585779 pdf_url : https://epub.uni-regensburg.de/54287/1/framework-latency-authorversion.pdf bibtex_url : https://epub.uni-regensburg.de/cgi/export/eprint/54287/BibTeX/epub-eprint-54287.bib video_url : doi : 10.1145/3544549.3585779 photo_img : projects:framework-latency:fw_latency_fig1.png short-description : We implemented and evaluated a new method for measuring the latency added by different graphics frameworks and toolkits on X11-based systems. abstract : Latency is an intrinsic property of all human-computer systems. As it can affect user experience and performance, it should be kept as low as possible for real-time applications. To identify the source of latency, measuring partial latencies is necessary. We present a new method for measuring the latency of graphics frameworks on X11-based systems. Our tool measures the time between an input event arriving at the kernel until a pixel is updated in graphics memory. In a systematic evaluation with 36 test applications, we found that our method delivers consistent results for most tested frameworks, and does not add a significant amount of additional end-to-end latency. Even though further investigation is required to explain inconsistencies with Qt-based frameworks, our method measures the latency of graphics frameworks reliably and accurately in all other cases. published-in : Extended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems project : latency ----