Windows 10: Microsoft Power Platform needs to have for more samples like what is available to google...

Microsoft Power Platform needs to have for more samples like what is available to google people from appsheetsIs there such a place and much actual controls over the android or ios device ? The Microsoft of the Old would have already done this by now and become the market leader again ?

:)

 

Microsoft Code Samples on GetHub has insturction to compile but no download available?

Hello,

The following an excellent example for USB-camera code

However,

USBView sample application - Code Samples

USBView sample application

• Code Sample
  
• 04/04/2022
  
• 10 contributors
  

Browse code

………….

Run the sample

……….. instruction to use the sln project sample to run on Vstudio...

Click browse code:

Windows-driver-samples/usb/usbview at main · microsoft/Windows-driver-samples

go to file button,

we find a page with the codes that we can down load its files, by click on each

code file and right click or raw button to get save...

Is there any sln project download for sample to be able to compile correctly and study

the code for an application?

Is there any recent USBview example available?

or another sample alternative to use?

or we just collect the files by down load and assume we may able to actually

reconstruct the example on Vstudio?

Thank you for guidance on this issue to be able to find some working sample

to study the code for USB as new commers to USB-camera.

 

Microsoft Family blocking youtube and google

To help us pinpoint the root cause of the issue, we would like to know if you also experience the issue with other Google websites? (Gmail, Google Maps, etc.)

Kindly also try to use a new InPrivate window and try to visit YouTube and Google again. Follow the steps below:

• Open Edge.
• Click on the three dots icon on the upper-right part of the screen.
• Click New InPrivate window.
  

We also suggest that you use the Feedback Hub to help us make Windows and Microsoft Family better. You can provide feedback about Microsoft Family by sharing your suggestions or problems.

You can access the Feedback Hub by clicking on Windows Feedback on the app list. You can also type
Windows Feedback on Cortana.

Keep us posted on the status of the issue.

 

AMD Radeon Technology Will Be Available on Google Cloud Platform in 2017

At SC16, AMD announced that Radeon GPU technology will be available to Google Cloud Platform users worldwide. Starting in 2017, Google will use AMD's fastest available single-precision dual GPU compute accelerators, Radeon-based AMD FirePro S9300 x2 Server GPUs, to help accelerate Google Compute Engine and Google Cloud Machine Learning services. AMD FirePro S9300 x2 GPUs can handle highly parallel calculations, including complex medical and financial simulations, seismic and subsurface exploration, machine learning, video rendering and transcoding, and scientific analysis. Google Cloud Platform will make the AMD GPU resources available for all their users around the world.

"Graphics processors represent the best combination of performance and programmability for existing and emerging big data applications," said Raja Koduri, senior vice president and chief architect, Radeon Technologies Group, AMD. "The adoption of AMD GPU technology in Google Cloud Platform is a validation of the progress AMD has made in GPU hardware and our Radeon Open Compute Platform, which is the only fully open source hyperscale GPU compute platform in the world today. We expect that our momentum in GPU computing will continue to accelerate with future hardware and software releases and advances in the ecosystem of middleware and libraries."

As part of AMD's continuing investments in GPU computing, the company revealed yesterday a new release of Radeon Open Compute Platform (ROCm) featuring software support for new GPU hardware, new math libraries, and a rich foundation of modern programming languages, designed to speed development of high-performance, energy-efficient heterogeneous computing systems. The news bolsters ROCm's position as the most versatile open source platform for GPU computing, targeting high-performance computing across a range of advanced applications from academic and scientific research to commercial deployments. Visit AMD at SC16, booth 1431 to see demonstrations of a wide range of recent GPU computing advances, including:

• ROCm Technology Cluster running Machine Learning Code on Supermicro servers
• Porting the CUDA application Caffe via HIP Porting Tool
• Ray-tracing and VR visualization for HPC with AMD FirePro S9300 X2 & Radeon R9 Nano GPUs
• OpenMP 4.5 Interoperability targeting multiple GPUs & platforms
• IBM Power8 server with AMD FirePro S9170 Server GPU running ROCm
• Penguin Computing Tundra Extreme ARMv8 ThunderX based server with Radeon RX 460 running ROCm
• In-situ rendering with Headless OpenGL/EGL Interop OpenCL on ROCm