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Tag Archives: CloudXPRT

The CloudXPRT learning tool is now live!

We’re happy to announce that the CloudXPRT learning tool is now live! We designed the tool to serve as an information hub for common CloudXPRT topics and questions, and to help tech journalists, OEM lab engineers, and everyone who is interested in CloudXPRT find the answers they need as quickly as possible.

The tool features four primary areas of content:

  • The Q&A section provides quick answers to the questions we receive most from testers and the tech press.
  • The CloudXPRT: the basics section describes specific topics such as the benchmark’s target platforms, workloads, companion cloud software, and hardware and software requirements.
  • The Testing and results section covers the testing process, metrics, and how to publish results.
  • The cloud primer provides brief, easy-to-understand definitions of key cloud computing terms and concepts.

The first screenshot below shows the home screen. To illustrate how some of the pop-up information sections appear, the second screenshot shows part of the Key terms and concepts module in the Cloud primer section. 

We’re excited about the new CloudXPRT learning tool! If you have any questions about the tool, or suggestions for additional content to include in it, please let us know!

Justin

The XPRTs in 2020: a year to remember

As 2020 comes to a close, we want to take this opportunity to review another productive year for the XPRTs. Readers of our newsletter are familiar with the stats and updates we include each month, but for our blog readers who don’t receive the newsletter, we’ve compiled some highlights below.

Benchmarks
In the past year, we released CrXPRT 2 and updated MobileXPRT 3 for testing on Android 11 phones. The biggest XPRT benchmark news was the release of CloudXPRT v1.0 and v1.01. CloudXPRT, our newest  benchmark, can accurately measure the performance of cloud applications deployed on modern infrastructure-as-a-service (IaaS) platforms, whether those platforms are paired with on-premises, private cloud, or public cloud deployments. 

XPRTs in the media
Journalists, advertisers, and analysts referenced the XPRTs thousands of times in 2020, and it’s always rewarding to know that the XPRTs have proven to be useful and reliable assessment tools for technology publications such as AnandTech, ArsTechnica, Computer Base, Gizmodo, HardwareZone, Laptop Mag, Legit Reviews, Notebookcheck, PCMag, PCWorld, Popular Science, TechPowerUp, Tom’s Hardware, VentureBeat, and ZDNet.

Downloads and confirmed runs
So far in 2020, we’ve had more than 24,200 benchmark downloads and 164,600 confirmed runs. Our most popular benchmark, WebXPRT, just passed 675,000 runs since its debut in 2013! WebXPRT continues to be a go-to, industry-standard performance benchmark for OEM labs, vendors, and leading tech press outlets around the globe.

Media, publications, and interactive tools
Part of our mission with the XPRTs is to produce materials that help testers better understand the ins and outs of benchmarking in general and the XPRTs in particular. To help achieve this goal, we’ve published the following in 2020:

We’re thankful for everyone who has used the XPRTs, joined the community, and sent questions and suggestions throughout 2020. This will be our last blog post of the year, but there’s much more to come in 2021. Stay tuned in early January for updates!

Justin

The AIXPRT learning tool is now live (and a CloudXPRT version is on the way)!

We’re happy to announce that the AIXPRT learning tool is now live! We designed the tool to serve as an information hub for common AIXPRT topics and questions, and to help tech journalists, OEM lab engineers, and everyone who is interested in AIXPRT find the answers they need in as little time as possible.

The tool features four primary areas of content:

  • The Q&A section provides quick answers to the questions we receive most from testers and the tech press.
  • The AIXPRT: the basics section describes specific topics such as the benchmark’s toolkits, networks, workloads, and hardware and software requirements.
  • The testing and results section covers the testing process, metrics, and how to publish results.
  • The AI/ML primer provides brief, easy-to-understand definitions of key AI and ML terms and concepts for those who want to learn more about the subject.

The first screenshot below shows the home screen. To show how some of the popup information sections appear, the second screenshot shows the Inference tasks (workloads) entry in the AI/ML Primer section. 

We’re excited about the new AIXPRT learning tool, and we’re also happy to report that we’re working on a version of the tool for CloudXPRT. We hope to make the CloudXPRT tool available early next year, and we’ll post more information in the blog as we get closer to taking it live.

If you have any questions about the tool, please let us know!

Justin

Thinking ahead to the next HDXPRT

We’re currently formulating our 2021 development roadmap for the XPRTs. In addition to planning CloudXPRT and WebXPRT updates, we’re discussing the possibility of releasing HDXPRT 5 in 2021. It’s hard for me to believe, but it’s been about two and a half years since we started work on HDXPRT 4, and February 2021 will mark two years since the first HDXPRT 4 release. Windows PCs are more powerful than ever, so it’s a good time to talk about how we can enhance the benchmark’s ability to measure how well the latest systems handle real-world media technologies and applications.

When we plan a new version of an XPRT benchmark, one of our first steps is updating the benchmark’s workloads so that they will remain relevant in years to come. We almost always update application content, such as photos and videos, to contemporary file resolutions and sizes. For example, we added both higher-resolution photos and a 4K video conversion task in HDXPRT 4. Are there specific types of media files that you think would be especially relevant to high-performance media tasks over the next few years?

Next, we will assess the suitability of the real-world trial applications that the editing photos, editing music, and converting videos test scenarios use. Currently, these are Adobe Photoshop Elements, Audacity, CyberLink MediaEspresso, and HandBrake. Can you think of other applications that belong in a high-performance media processing benchmark?

In HDXPRT 4, we gave testers the option to target a system’s discrete graphics card during the video conversion workload. Has this proven useful in your testing? Do you have suggestions for new graphics-oriented workloads?

We’ll also strive to make the UI more intuitive, to simplify installation, and to reduce the size of the installation package. What elements of the current UI do you find especially useful or think we could improve? 

We welcome your answers to these questions and any additional suggestions or comments on HDXPRT 5. Send them our way!

Justin

Following up

This week, we’re sharing news on two topics that we’ve discussed here in the blog over the past several months: CloudXPRT v1.01 and a potential AIXPRT OpenVINO update.

CloudXPRT v1.01

Last week, we announced that we were very close to releasing an updated CloudXPRT build (v1.01) with two minor bug fixes, an improved post-test results processing script, and an adjustment to one of our test configuration recommendations. Our testing and prep is complete, and the new version is live in the CloudXPRT GitHub repository and on our site!

None of the v1.01 changes affect performance or test results, so scores from the new build are comparable to those from previous CloudXPRT builds. If you’d like to know more about the changes, take a look at last week’s blog post.

The AIXPRT OpenVINO update

In late July, we discussed our plans to update the AIXPRT OpenVINO packages with OpenVINO 2020.3 Long-Term Support (LTS). While there are no known problems with the existing AIXPRT OpenVINO package, the LTS version targets environments that benefit from maximum stability and don’t require a constant stream of new tools and feature changes, so we thought it would be well suited for a benchmark like AIXPRT.

We initially believed that the update process would be relatively simple, and we’d be able to release a new AIXPRT OpenVINO package in September. However, we’ve discovered that the process is involved enough to require substantial low-level recoding. At this time, it’s difficult to estimate when the updated build will be ready for release. For any testers looking forward to the update, we apologize for the delay.

If you have any questions or comments about these or any other XPRT-related topics, please let us know!

Justin

Fixes for minor CloudXPRT bugs are on the way

We want to let CloudXPRT testers know that we’re close to releasing an updated version (build 1.01) with two minor bug fixes, an improved post-test results processing script, and an adjustment to one of our test configuration recommendations. None of these changes will affect performance or test results, so scores from previous CloudXPRT builds will be comparable to those from the new build.

The most significant changes in CloudXPRT build 1.01 are as follows:

  • In previous builds, some testers encountered warnings during setup to update the version of Kubernetes Operations (kops) when testing on public-cloud platforms (the CloudXPRT 1.00 recommendation is kops version 1.16.0). We are adjusing the kops installation instructions in the setup instructions for the web microservices and data analytics workloads to prevent these warnings.
  • In previous builds, post-test cleanup instructions for public-cloud testing environments do not always delete all of the resources that CloudXPRT creates during setup. We are updating instructions to ensure a more thorough cleanup process. This change applies to test instructions for the web microservices and data analytics workloads.
  • We are reformatting the optional results graphs the web microservices postprocess program creates to make them easier to interpret.
  • In previous builds, the recommended time interval for the web-microservices workload is 120 seconds if the hpamode option is enabled and 60 seconds if it is disabled. Because we’ve found that the 60-second difference has no significant impact on test results, we are changing the recommendation to 60 seconds for both hpamode settings.


We hope these changes will improve the CloudXPRT setup and testing experience. We haven’t set the release date for the updated build yet, but when we do, we’ll announce it here in the blog. If you have any questions about CloudXPRT, or would like to report bugs or other issues, please feel free to contact us!

Justin

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