The coming 5G revolution, like all tech leaps forward before it, will not come evenly. Fortunately, the always evolving XPRT family of tools is up to the task.
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We must also think a lot about how to accurately measure all other aspects of our devices’ performance, because the demands this future will place on them are going to be significant. Without tools that let us accurately compare different devices, the industry won’t be able to keep delivering the levels of performance improvements that we need to realize these dreams. That’s one of the reasons we’ve been developing AIXPRT. From the smartphone to the datacenter, AI will end up being a very distributed and very demanding workload. We must, for example, make sure that every computing node that will contribute to these powerful AI programs is up to the task. The catch, of course, is that we have a tremendous amount of work to do between where we are today and this fabulous future.
As I walked the show floor, I could not help but feel and want to embrace its optimism. If we are to believe the promise of this year’s Mobile World Congress in Barcelona-and of course I do want to believe it, who wouldn’t?-the result of all of this will be a better world for all humanity, no person left behind. Swimming through this perpetual data tsunami will be we humans and our many devices, our laptops and tablets and smartphones and smart watches and, ultimately, implants. More is more data, which the trillions of devices in the coming Internet of Things will be pumping through our air into our (computing) clouds in hitherto unseen quantities.įaster is the speed at which tomorrow’s 5G networks will carry this data-and the responses and actions from our automated assistants (and possibly overlords).īetter is the quality of the data analysis and recommendations, thanks primarily to the vast army of AI-powered analytics engines that will be poring over everything digital the planet has to say. If this concept piques your interest, or you have suggestions for implementation, please let us know! Our biggest question at the moment is whether our user base would be interested in WebXPRT user accounts or test IDs. Number to tag and search for their automated test runs in our database, without User ID number for themselves or their organization. Implementation option we are considering would let users generate a permanent The test accounts would be bothįree and optional you could continue to run the benchmark without an account,īut running it with an account would let you save and view your test history. Individual or on behalf of their organization. Of the idea would allow a user to sign up for a WebXPRT test account as an Would enable user-specific test ID numbers or accounts. This week, a community member raised the possibility of a WebXPRT 4 feature that
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Until we finalize the details for each workloadĪnd complete the code work for the preview build, we still have quite a bit of Responsive as possible to user feedback, and we want to emphasize that it’s not Of our goals during the ongoing WebXPRT 4 development process is to be as We would benefit from fielding workloads for large-scale testing and user feedback before we commit to including them as core WebXPRT workloads.ĭo you have any general thoughts about experimental workloads for browser performance testing, or any specific workloads that you’d like us to consider? Please let us know.
Testers would benefit from experimental workloads by being able to compare how well certain browsers or systems handle new tasks (e.g., new web apps or AI capabilities). WebXPRT testers would be able to run the experimental workloads one of two ways: by manually selecting them on the benchmark’s home screen, or by adjusting a value in the WebXPRT 4 automation scripts. The individual scores for the experimental workloads would stand alone, and would not factor in the WebXPRT 4 overall score. These would be optional workloads that test cutting-edge browser technologies or new use cases. As the WebXPRT 4 development process has progressed, we’ve started to discuss the possibility of offering experimental WebXPRT 4 workloads in 2022.
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