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Category: AI

All about the AIXPRT Community Preview

Last week, Bill discussed our plans for the AIXPRT Community Preview (CP). I’m happy to report that, despite some last-minute tweaks and testing, we’re close to being on schedule. We expect to take the CP build live in the coming days, and will send a message to community members to let them know when the build is available in the AIXPRT GitHub repository.

As we mentioned last week, the AIXPRT CP build includes support for the Intel OpenVINO, TensorFlow (CPU and GPU), and TensorFlow with NVIDIA TensorRT toolkits to run image-classification workloads with ResNet-50 and SSD-MobileNet v1 networks. The test reports FP32, FP16, and INT8 levels of precision. Although the minimum CPU and GPU requirements vary by toolkit, the test systems must be running Ubuntu 16.04 LTS. You’ll be able to find more detail on those requirements in the installation instructions that we’ll post on AIXPRT.com.

We’re making the AIXPRT CP available to anyone interested in participating, but you must have a GitHub account. To gain access to the CP, please contact us and let us know your GitHub username. Once we receive it, we’ll send you an invitation to join the repository as a collaborator.

We’re allowing folks to quote test results during the CP period, and we’ll publish results from our lab and other members of the community at AIXPRT.com. Because this testing involves so many complex variables, we may contact testers if we see published results that seem to be significantly different than those from comparable systems. During the CP period, On the AIXPRT results page, we’ll provide detailed instructions on how to send in your results for publication on our site. For each set of results we receive , we’ll disclose all of the detailed test, software, and hardware information that the tester provides. In doing so, our goal is to make it possible for others to reproduce the test and confirm that they get similar numbers.

If you make changes to the code during testing, we ask that you email us and describe those changes. We’ll evaluate if those changes should become part of AIXPRT. We also require that users do not publish results from modified versions of the code during the CP period.

We expect the AIXPRT CP period to last about four to six weeks, placing the public release around the end of March or beginning of April. In the meantime, we welcome your thoughts and suggestions about all aspects of the benchmark.

Please let us know if you have any questions. Stay tuned to AIXPRT.com and the blog for more developments, and we look forward to seeing your results!

JNG

Engaging AI

In December, we wrote about our recent collaboration with students from North Carolina State University’s Department of Computer Science. We challenged the students to create a software console that includes an intuitive user interface, computes a performance metric, and uploads results to our database. The specific objective was to make it easy for testers to configure and run an implementation of the TensorFlow framework. In general, we hoped that the end product would model some of the same basic functions we plan to implement with AIXPRT, our machine-learning performance evaluation tool, currently under development.

The students did an outstanding job, and we hope to incorporate some of their work into AIXPRT in the future. We’ve been calling the overall project “Engaging AI” because it produced a functional tool that can help users interact with TensorFlow, and it was the first time that the students had an opportunity to work with AI tools. You can read more details on the Engaging AI page. We also have a new video that describes the project, including the new skillsets our students acquired to achieve success.

engaging-ai-vid

Finally, interested BenchmarkXPRT Development Community members can access to the project’s source code and additional documentation on our XPRT Experiments page. We hope you’ll check it out!

Justin

An update on the AIXPRT Request for Comments preview

As we approach the end of the original feedback window for the AIXPRT Request for Comments preview build, we want to update folks on the status of the project and what to expect in the coming weeks.

First, thanks to those who’ve downloaded the AIXPRT OpenVINO package and sent in their questions and comments. We value your feedback, and it’s instrumental in making AIXPRT a better tool. We’re currently working through some issues with the TensorFlow and TensorRT packages, and hope to add support for those to the RFC preview build repository very soon.

We’re also hoping to have a full-fledged community preview (CP) ready in mid to late February. Like our other community previews, the AIXPRT CP would be solid enough to allow folks to start quoting numbers. We typically make our benchmarks available to the general public four to six weeks after the community preview period begins, so if that schedule holds, it would place the public AIXPRT release around the end of March.

In light of the schedule described above, you still have time to gain access to the AIXPRT RFC preview build and give your feedback, so let us know if you’d like to check it out. The installation and testing process can take less than an hour, but getting everything properly set up can take a few tries. We are hard at work trying to make that process more straightforward. We welcome your input on all aspects of the benchmark, including workloads, ease of use, metrics, scores, and reporting.

Thanks for your help!

Justin

The HDXPRT 4 Community Preview is now available!

Today we’re releasing the HDXPRT 4 Community Preview (CP). Just like previous versions of HDXPRT, HDXPRT 4 uses trial versions of commercial applications to complete workload tasks. For some of those programs, such as Audacity and HandBrake, HDXPRT 4 includes installers in the HDXPRT installation package. For other programs, such as Adobe Photoshop Elements 2018 and CyberLink Media Espresso 7.5, users need to download the necessary installers prior to testing by using the links and instructions in the HDXPRT 4 User Manual.

In addition to the editing photos, editing music, and converting videos workloads from prior versions of the benchmark, HDXPRT 4 includes two new Photoshop Elements scenarios. The first utilizes an AI tool that corrects closed eyes in photos, and the second creates a single panoramic photo from seven separate photos.

HDXPRT 4 is compatible with systems running Windows 10, and the installation package is slightly smaller than previous versions at just over 4.7 GB.

Because this is a community preview, it is available only to community members, who may download the preview from the HDXPRT tab in the Members’ Area. Because we expect results from CP testing to be comparable to results from the general release, members may publish their CP test results.

After you try the CP, please send us your comments. If you send information that’s relevant to the entire community, we may post an anonymous version of your comments to the forum. Thanks for your participation!

Justin

AI is the heartbeat of CES 2019

This year’s CES features a familiar cast of characters: gigantic, super-thin 8K screens; plenty of signage promising the arrival of 5G; robots of all shapes, sizes, and levels of competency; and acres of personal grooming products that you can pair with your phone. In all seriousness, however, one main question keeps coming to mind as I walk the floor: Are we approaching the tipping point where AI truly starts to affect most people in meaningful ways on a daily basis? I think we’re still a couple of years away from ubiquitous AI, but it’s the heartbeat of this year’s show, and it’s going play a part in almost everything we do in the very near future. AI applications at this year’s show include manufacturing, transportation, energy, medicine, education, photography, communications, farming, grocery shopping, fitness, sports, defense, and entertainment, just to name a few. The AI revolution is just starting, but once it gets going, AI will continually reshape society for decades to come. This year’s show reinforces our decision to explore the roles that the XPRTs, beginning with AIXPRT, can play in the AI revolution.

Now for the fun stuff. Here’s a peek at a couple of my favorite displays so far. As is often the case, the most awe-inducing displays at CES are those that overwhelm attendees with light and sound. LG’s enormous curved OLED wall, dubbed the Massive Curve of Nature, was truly something to behold.

IMG_0268 - Copy

Another big draw has been Bell’s Nexus prototype, a hybrid-electric VTOL (vertical takeoff and landing) air taxi. Some journalists can’t resist calling it a flying car, but I refuse to do so, because it has nothing in common with cars apart from the fact that people sit in it and use it to travel from place to place. As Elon Musk once said of an earlier, but similar, concept, “it’s just a helicopter in helicopter’s clothing.” Semantics aside, it’s intriguing to imagine urban environments full of nimble aircraft that are quieter, easier to fly, and more energy efficient than traditional helicopters, especially if they’re paired with autonomous driving technologies.

Version 2

Finally, quite a few companies are displaying props that put some of the “reality” back into “virtual reality.” Driving and flight simulators with full range of motion that are small enough to fit in someone’s basement or game room, full-body VR suits that control your temperature and deliver electrical stimulus based on game play (yikes!), and portable roller-coaster-like VR rides were just a few of the attractions.

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It’s been a fascinating show so far!

Justin

New XPRTs for the new year

Happy 2019! January is already a busy time for the XPRTs, so we want to share a quick preview of what community members can expect in the coming months.

The MobileXPRT 3 community preview (CP) is still open, but draws to a close on January 18th. If you are not familiar with the updates and changes we implemented in the newest version of MobileXPRT, you can read more in the blog. Members can access this APK on the MobileXPRT tab in the Members’ Area. We also posted an installation guide that provides both a general overview of the app and detailed instructions for each step. The entire process takes about five minutes on most devices. If you haven’t already, give it a try!

We also recently published the first AIXPRT Request for Comments (RFC) preview build, an early version of one of the tools we’re developing to evaluate machine learning performance. You can find more details in Bill’s most recent blog post and on AIXPRT.com. Only BenchmarkXPRT Development Community members have access to our RFCs and the opportunity to provide feedback. However, because we’re seeking broad input from experts in this field, we’ll gladly make anyone interested in participating a member. To gain access to the AIXPRT repository, please send us a request.

Work on the HDXPRT 4 CP candidate build continues, and we hope to publish the preview for community members this month. We appreciate everyone’s patience as we work to get this right. We think it will be worth the wait.

On a general note, I’ll be travelling to CES 2019 in Las Vegas next week. CES is a great opportunity for us to survey emerging tech and industry trends, and I look forward to sharing my thoughts from the show. If you’ll be there and would like to discuss any aspect of the XPRTs in person, let me know.

Justin

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