Category: Future of performance evaluation

Thoughts from MWC Shanghai

on June 29, 2017

I’ve spent the last couple days walking the exhibition halls of MWC Shanghai. The Shanghai New International Expo Centre (SNIEC) is large, but smaller than the MWC exhibit space in Barcelona or the set of exhibit halls in Las Vegas for CES. (SNIEC is not even the biggest exhibition space in Shanghai!) Further, MWC here still only took up half the exhibition space, but there was plenty to see. And, I’m less exhausted than after CES or MWC in Barcelona!

If I had to pick one theme from the exhibition halls, it would be 5G. It seemed like half the booths had 5G displayed somewhere in their signage. The cloud was the other concept that seemed to be everywhere. While neither was surprising, it was interesting to see halfway around the world. In truth, it feels like 5G is much farther along here than it is back in the States.

I was also surprised to see how many phone vendors are here that I’d never heard of before such as Lephone and Gionee. I stopped by their booths with XPRT Spotlight information and hope they will send in some of their devices for inclusion in the future.

One thing I found of note was how much technology in general and IoT in particular is going to be everywhere. There was an interesting exhibit showing how stores of the future might operate. I was able to “buy” items without traditionally checking out. (I got a free water and some cookies out of the experience.) I just placed the items in a location on the checkout counter, which read their NFC labels and displayed them on the checkout screen. It seemed sort of like my understanding of the experiments that Amazon has been doing with brick-and-mortar grocery stores (prior to their purchase of Whole Foods). The whole experience felt a bit odd and still unpolished, but I’m sure it will improve and I’ll get used to it.

The next generation will find it not odd, but normal. There were exhibits with groups of children playing with creative technologies from handheld 3D printers to simplified programming languages. They will be the generation after digital natives, maybe the digital creatives? What impact will they have? The future is both exciting and daunting!

I came away from the conference thinking about how the XPRTs can help folks choose amongst the myriad devices and technologies that are just around the corner. What would you most like to see the XPRTs tackle in the next six months to a year?

Bill Catchings

Posted in 5G, AI, computer vision, Education, Future of performance evaluation, Internet of things, IoT, Mobile World Congress, Mobile World Congress, Trade Shows |

Learning about machine learning

By Bill Catchings

on April 27, 2017

Everywhere we look, machine learning is in the news. It’s driving cars and beating the world’s best Go players. Whether we are aware of it or not, it’s in our lives–understanding our voices and identifying our pictures.

Our goal of being able to measure the performance of hardware and software that does machine learning seems more relevant than ever. Our challenge is to scan the vast landscape that is machine learning, and identify which elements to measure first.

There is a natural temptation to see machine learning as being all about neural networks such as AlexNet and GoogLeNet. However, new innovations appear all the time and lots of important work with more classic machine learning techniques is also underway. (Classic machine learning being anything more than a few years old!) Recursive neural networks used for language translation, reinforcement learning used in robotics, and support vector machine (SVM) learning used in text recognition are just a few examples among the wide array of algorithms to consider.

Creating a benchmark or set of benchmarks to cover all those areas, however, is unlikely to be possible. Certainly, creating such an ambitious tool would take so long that it would be of limited usefulness.

Our current thinking is to begin with a small set of representative algorithms. The challenge, of course, is identifying them. That’s where you come in. What would you like to start with?

We anticipate that the benchmark will focus on the types of inference learning and light training that are likely to occur on edge devices. Extensive training with large datasets takes place in data centers or on systems with extraordinary computing capabilities. We’re interested in use cases that will stress the local processing power of everyday devices.

We are, of course, reaching out to folks in the machine learning field—including those in academia, those who create the underlying hardware and software, and those who make the products that rely on that hardware and software.

What do you think?

Bill

Posted in AI, AR, Augmented reality, Automated cars, Automation, computer vision, Future of performance evaluation, Machine learning, What makes a good benchmark? |

Evolve or die

By Eric Hale

on April 20, 2017

Last week, Google announced that it would retire its Octane benchmark. Their announcement explains that they designed Octane to spur improvement in JavaScript performance, and while it did just that when it was first released, those improvements have plateaued in recent years. They also note that there are some operations in Octane that optimize Octane scores but do not reflect real-world scenarios. That’s unfortunate, because they, like most of us, want improvements in benchmark scores to mean improvements in end-user experience.

WebXPRT comes at the web performance issue differently. While Octane’s goal was to improve JavaScript performance, the purpose of WebXPRT is to measure performance from the end user’s perspective. By doing the types of work real people do, WebXPRT doesn’t measure only improvements in JavaScript performance; it also measures the quality of the real-world user experience. WebXPRT’s results also reflect the performance of the entire device and software stack, not just the performance of the JavaScript interpreter.

Google’s announcement reminds us that benchmarks have finite life spans, that they must constantly evolve to keep pace with changes in technology, or they will become useless. To make sure the XPRT benchmarks do just that, we are always looking at how people use their devices and developing workloads that reflect their actions. This is a core element of the XPRT philosophy.

As we mentioned last week, we’ve working on the next version of WebXPRT. If you have any thoughts about how it should evolve, let us know!

Eric

Posted in Benchmark metrics, Benchmarking, BenchmarkXPRT development community, Browser-based benchmarks, Future of performance evaluation, Google, JavaScript, Performance benchmarking, What makes a good benchmark? |

Thinking ahead to WebXPRT 2017

By Justin Greene

on April 13, 2017

A few months ago, Bill discussed our intention to update WebXPRT this year. Today, we want to share some initial ideas for WebXPRT 2017 and ask for your input.

Updates to the workloads provide an opportunity to increase the relevance and value of WebXPRT in the years to come. Here are a few of the ideas we’re considering:

For the Photo Enhancement workload, we can increase the data sizes of pictures. We can also experiment with additional types of photo enhancement such as background/foreground subtraction, collage creation, or panoramic/360-degree image viewing.
For the Organize Album workload, we can explore machine learning workloads by incorporating open source JavaScript libraries into web-based inferencing tests.
For the Local Notes workload, we’re investigating the possibility of leveraging natural-brain libraries for language processing functions.
For a new workload, we’re investigating the possibility of using online 3D modeling applications such as Tinkercad.

For the UI, we’re considering improvements to features like the in-test progress bars and individual subtest selection. We’re also planning to update the UI to make it visually distinct from older versions.

Throughout this process, we want to be careful to maintain the features that have made WebXPRT our most popular tool, with more than 141,000 runs to date. We’re committed to making sure that it runs quickly and simply in most browsers and produces results that are useful for comparing web browsing performance across a wide variety of devices.

Do you have feedback on these ideas or suggestions for browser technologies or test scenarios that we should consider for WebXPRT 2017? Are there existing features we should ditch? Are there elements of the UI that you find especially useful or would like to see improved? Please let us know. We want to hear from you and make sure that we’re crafting a performance tool that continues to meet your needs.

Justin

Posted in BenchmarkXPRT development community, Browser-based benchmarks, Collaborative benchmark development, Future of performance evaluation, Let us know your thoughts, Machine learning, Performance benchmarking, WebXPRT, WebXPRT 2017, What makes a good benchmark? |

Mobile World Congress 2017 and the territories ahead

By Mark Van Name

on March 2, 2017

Walking the halls of this year’s Mobile World Congress (MWC)—and, once again, I walked by every booth in every one of them—it was clear that mobile technology is expanding faster than ever into more new tech territories than ever before.

On the device front, cameras and camera quality have become a pitched battleground, with mobile phone makers teaming with camera manufacturers to give us better and better images and video. This fight is far from over, too, because vendors are exploring many different ways to improve mobile phone camera quality. Quick charging is a hot new trend we can expect to hear more about in the days to come. Of course, apps and their performance continue to matter greatly, because if you can do it from any computer, you better be able to do at least some of it from your phone.

The Internet of Things (IoT) grabbed many headlines, with vendors still selling more dreams than reality, but some industries living this future now. The proliferation of IoT devices will result, of course, in massive increases in the amount of data flowing through the world’s networks, which in turn will require more and more computing power to analyze and use. That power will need to be everywhere, from massive datacenters to the device in your hand, because the more data you have, the more you’ll want to customize it to your particular needs.

Similarly, AI was a major theme of the show, and it’s also likely to suck up computing cycles everywhere. The vast majority of the work will, of course, end up in datacenters, but some processing is likely to be local, particularly in situations, such as real-time translation, where we can’t afford significant comm delays.

5G, the next big step in mobile data speeds, was everywhere, with most companies seeming to agree the new standard was still years away–but also excited about what will be possible. When you can stream 4K movies to your phone wirelessly while simultaneously receiving and customizing analyses of your company’s IoT network, you’re going to need a powerful, sophisticated device running equally powerful and sophisticated apps.

Everywhere I looked, the future was bright—and complicated, and likely to place increasing demands on all of our devices. We’ll need guides as we find our paths through these new territories and as we determine the right device tools for our jobs, so the need for the XPRTs will only increase. I look forward to seeing where we, the BenchmarkXPRT Development Community, take them next.

Mark

Posted in 4K, 5G, AI, Future of performance evaluation, Internet of things, IoT, Mobile data, Mobile devices, Mobile World Congress, Mobile World Congress, Phones, Trade Shows |

A new reality

By Eric Hale

on February 23, 2017

A while back, I wrote about a VR demo built by students from North Carolina State University. We’ve been checking it out over the last couple of months and are very impressed. This workload will definitely heat up your device! While the initial results look promising, this is still an experimental workload and it’s too early to use results in formal reviews or product comparisons.

We’ve created a page that tells all about the VR demo. As an experimental workload, the demo is available only to community members. As always, members can download the source as well as the APK.

We asked the students to try to build the workload for iOS as a stretch goal. They successfully built an iOS version, but this was at the end of the semester and there was little time for testing. If you want to experiment with iOS yourself, look at the build instructions for Android and iOS that we include with the source. Note that you will need Xcode to build and deploy the demo on iOS.

After you’ve checked out the workload, let us know what you think!

Finally, we have a new video featuring the VR demo. Enjoy!