Tag Archives: Intel

For Sale – Intel 520 Series 180GB SSD with warranty

I have 2 x Intel 520 Series 180GB SSD Drives for sale, both from working machines,
both have warranty until October 2018, so over a year left yet.

£45 Delivered Each

———————————————————————————————-

Price and currency: 45
Delivery: Delivery cost is included within my country
Payment method: PPG or BT
Location: w yorkshire
Advertised elsewhere?: Advertised elsewhere
Prefer goods collected?: I have no preference

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For Sale – iMac 24″ Mid 2007

I have for sale an a 24″ mid 2007 iMac.

The specs are:

Running El Capitan
2.4GHz Intel Core 2 Duo
320GB hard disk
2GB DDR2 RAM
ATI Radeon HD 2600

The iMac is in reasonable condition for it’s age with the usual scuffs and marks you would expect. The screen works fine but does appear to have some dark patches at the edges something I believe is a common thing.

There is no box and there are no accessories (keyboard, mouse etc) included.

I don’t know what this is worth so I have put £200 collected.

Price and currency: £200
Delivery: Goods must be exchanged in person
Payment method: BT or PPG
Location: Manchester
Advertised elsewhere?: Not advertised elsewhere
Prefer goods collected?: I prefer the goods to be collected

______________________________________________________
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  • Landline telephone number. Make a call to check out the area code and number are correct, too
  • Name and address including postcode
  • Valid e-mail address

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For Sale – HP Z800 Workstation

HP Z800

2 * Intel® Xeon® Processor L5630

2.13 GHz

12 MB SmartCache

TDP 40 W

48 GB Ram

Nvidia Quadro 4000

4 2.5inch ssd adapters

500GB Hard Drive

Windows 10 Pro
London based.
Can post ( not sure how much but it is heavy)
£699

Price and currency: £699
Delivery: Delivery cost is not included
Payment method: paypal
Location: London
Advertised elsewhere?: Advertised elsewhere
Prefer goods collected?: I prefer the goods to be collected

______________________________________________________
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  • Landline telephone number. Make a call to check out the area code and number are correct, too
  • Name and address including postcode
  • Valid e-mail address

DO NOT proceed with a deal until you are completely satisfied with all details being correct. It’s in your best interest to check out these details yourself.

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For Sale – High Spec Gaming Rig

Top spec gaming pc.

Handles everything in Ultra settings

Intel i7 6700K (unlocked)
GTX 1070 8GB Aero OC Edition
16GB Corsair Vengeance DDR4,
Gigabyte Z170-Gaming K3 motherboard,
Corsair H55 Hydro series liquid CPU cooler,
120GB Samsung 850 EVO SSD,
WD 1TB HDD,
Corsair CX600 PSU,
NZXT Phantom 410 case (white)
OS Windows 10 Home,
Razer Deathstalker keyboard,
Razer Death Adder Chroma mouse

Bought it on here a few months back.
Unfortunately life finds away to screw my fun and my family is due to grow so the short lived fun has to end! :)

I live in the midlands (Warwick) but travel around with work down to London and Kent so can organise a drop off / meet up within a reasonable distance

Any questions, thrown them my way.

Price and currency: 800
Delivery: Goods must be exchanged in person
Payment method: BT
Location: Midlands / London
Advertised elsewhere?: Not advertised elsewhere
Prefer goods collected?: I prefer the goods to be collected

______________________________________________________
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  • Name and address including postcode
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For Sale – Gaming PC

I am selling my gaming PC with monitor and keyboard.

Specs are :

Intel i7 6700k Skylake Processor
Asus Rog Max VIII Ranger Z170 Motherboard
4x 4gb Corsair Vengeance LPX DDR4-3000 Memory
1TB Western Digital WD10EZEX Sata 3 HDD
120gb Kingston HX Savage SSD
Corsair H110i GT Cpu Cooler
EVGA Supernova G2 1000w 80 Plus Gold Modular Power Supply
Zotac GeForce GTX1070 Amp Extreme 8gb Graphics Card
Corsair Carbide Air 540 Case
Acer G277hu 27″ WQHD Monitor

Pictures to follow.

Looking for £900 collected.
Will not courier.

Price and currency: 900.00
Delivery: Goods must be exchanged in person
Payment method: Cash on Collection
Location: East London, Near Stratford
Advertised elsewhere?: Not advertised elsewhere
Prefer goods collected?: I prefer the goods to be collected

______________________________________________________
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  • Landline telephone number. Make a call to check out the area code and number are correct, too
  • Name and address including postcode
  • Valid e-mail address

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Announcing Intel® Joule™ support in Windows 10 IoT Core Anniversary Edition

Two weeks ago I was excited to see us unveil Windows 10 IoT Core Anniversary Edition running on the new Intel® Joule™, built on the new Intel® Atom™ T5700 SOC. It took us a little over 6 weeks to bring up Windows 10 IoT Core and build Bamboo, the first Windows 10 IoT Core and Intel® Joule™ powered robot. We look forward to seeing what you think of Windows 10 IoT Core for the Intel® Joule™ when it becomes available as part of the Windows Insider Program release scheduled for September.

IMAGE1

Bamboo, the first Windows 10 IoT Core robot running on the Intel® Joule™

To give you a peek into what you can do with this we created Bamboo, a companion robotic panda. Running Windows 10 IoT Core on the Intel® Joule™ compute platform, Bamboo connects to cloud-based Microsoft Azure* and Cognitive Services, which provide sentiment analysis and translation, so you can speak to Bamboo in any language and she can translate into her native English and understand your mood via Twitter. Bamboo can move about and build an understanding of her environment with the compute platform and an Intel® RealSense™ camera. Additionally, she is animated via the EZ-Robot EZ-B control system.

All of this happened at the Intel Developer Forum 2016 in San Francisco. At that event, we also had a number of partners showing off what Windows 10 IoT Core can do.

EZ-Robot integrated the Intel® Joule™ with Windows 10 IoT Core into their EZ-B V5, making EZ-Robot the first custom integrator of the Intel® Joule™ using Windows 10 IoT Core. EZ-Robot displayed the new control module and multiple robots running on this new platform. Using the EZ-Builder software for Windows and a newly released EZ-Robot UWP library, you can design and animate your robots on a Windows PC, as well as auto-generate and export UWP control code to run on the EZ-B V5. We used this functionality to animate Bamboo. The bring up and integration of the EZ-B v5 took just under 6 weeks.

IMAGE2

Design Mill highlighted Torch, a mixed reality interactive gaming table. Built on the Intel® Joule™, Intel RealSense camera and Windows 10 IoT Core, Torch enables interactive gaming mixing perception, projection and blending the physical/digital divide.

IMAGE3

Joining our other outstanding partners like Raspberry Pi, Arduino, Adafruit and Seeed Studio, great partnerships like the ones we have with Intel, EZ-Robot and Design Mill that produce boards and systems, helps make Windows 10 IoT Core the best platform to build your IoT solutions on. When you add in Microsoft Azure IoT and Microsoft Cognitive Services, you get a cloud-connected, manageable, intuitive and, above all, human-like platform to build upon.

The Windows Insider program makes it very easy for you to get access to all of the above, as well as also the latest pre-releases of Windows 10 IoT Core (which will soon support the Intel® Joule™ module). Once you’ve installed the pre-release, we enable the OS to automatically upgrade so you’ll be able to try out the latest features in the next pre-release of Windows 10 IoT Core as we make each release – No more looking for updates on web pages or developer centers. We’re excited by this and we hope you’ll take the opportunity to join the many developers who are already using the Windows Insider Program.

We can’t wait to see what you make!

Intel’s contributions to the Windows Bridge for iOS: The Accelerate Framework

Intel® is committed to ensuring that developers have the best experience on Intel platforms to meet the diverse needs of our customers. We want to make sure that developers who have invested in Objective-C® code bases can reuse their code on Windows 10 devices running on Intel Architecture.

Therefore, we are very interested in the Windows Bridge for iOS project and are contributing support for key frameworks used by iOS developers to ensure they perform best on Intel-based Windows 10 devices.

Today, we would like to talk about one of our first contributions to the iOS bridge: the Accelerate framework. The Accelerate framework contains C APIs for vector and matrix mathematics, DSP, and image processing. These APIs are essential for applications with scientific computing needs, including audio and image filters. We have implemented support for BLAS, as well as a subset of the vDSP and vImage APIs. Below is a sample app that uses vImage APIs to modify RGB values and blur an image.

Setting Up the Sample App

To follow along with us, you will need:

  • A PC running Windows 10, with Visual Studio 2015 installed. You can download Visual Studio from the Windows Dev Center.
  • The latest release of the Windows Bridge for iOS from GitHub.

Running the original app in the iOS simulator results in the following:

1_iOSsimulator

You see a default image accompanied by a set of sliders. The Select Image button allows you to select the image that you want to experiment with. The Red, Green and Blue sliders change the RGB values of the image, while the Blur slider allows you to gradually blur it.

If you are curious about running the original iOS app yourself, launch the WOCCatalog.xcodeproj from winobjc/samples/WOCCatalog folder in Xcode on a Mac OS X system, and run the app in the iOS simulator.

Now let’s explore how we can make this app work on Windows 10 using the iOS bridge.

Start by using vsimporter to convert the Xcode project into a Visual Studio solution. To do so, navigate to the winobjc/bin folder on your Windows PC. In a separate Explorer window open up the winobjc/samples/WOCCatalog folder and select File > Open command line prompt to open the command prompt window. Drag the vsimporter file from the winobjc/bin folder into the command prompt window. Once you press Enter, vsimporter will run, and a new Visual Studio solution will be created in the WOCCatalog folder. Open the solution in Visual Studio.

Before we build the app, let’s take a look at the code to get a better understanding of the app’s functionality.

AccelerateViewController.m contains most of the implementation for the app. We start by declaring variables that store Red, Green, and Blue (RGB) values. Then, we declare convolve size variable that controls the blur effect. These are followed by the declaration of UIImageView for displaying the images:


    int _valueRed;
    int _valueGreen;
    int _valueBlue;
    int _convolveSize;
    ...
    UIImageView* _imv;


We then declare UISliders, which allow you to modify the RGB and convolve values, as well as the viewDidLoad method that initializes the sliders:


    UISlider* _redSlider;
    UISlider* _greenSlider;
    UISlider* _blueSlider;
    UISlider* _convolveSlider;
    ...
(void)viewDidLoad {
    [super viewDidLoad];

    _accelerateImageNumber = 1;
    _valueRed = 100;
    _valueGreen = 100;
    _valueBlue = 100;
    _convolveSize = 1;
    
//initialize Red slider:
    _redSlider = [[UISlider alloc] initWithFrame:CGRectMake(5.0, 12.0, 180.0, 8.0)];
    _redSlider.backgroundColor = [UIColor clearColor];
    _redSlider.minimumValue = 0.0;
    _redSlider.maximumValue = 200.0;
    _redSlider.continuous = YES;
    _redSlider.value = 100.0;
      ...
//load default image:
    _img = [UIImage imageNamed:[NSString stringWithFormat:@"photo%d.jpg", _accelerateImageNumber]];

}


When you change the position of any of the sliders its corresponding event handler is called. The handlers are similar for all sliders (Red, Green, Blue, and Blur) and contain the following code:


// handler function for Red slider:
-(void) redChanged:(UISlider*)slider {
    int oldValue = _valueRed;
    _valueRed = (int) slider.value;
    
    if (oldValue != _valueRed) {
        _indexPathArray = [NSArray arrayWithObject:[NSIndexPath indexPathForRow:1 inSection:0]];
        [self.tableView reloadRowsAtIndexPaths:_indexPathArray withRowAnimation:UITableViewRowAnimationNone];
        
        _indexPathArray = [NSArray arrayWithObject:[NSIndexPath indexPathForRow:6 inSection:0]];
        [self.tableView reloadRowsAtIndexPaths:_indexPathArray withRowAnimation:UITableViewRowAnimationNone];
    }
}


These functions in turn call the UITableView method reloadRowsAtIndexPaths:, which refreshes the cells containing the processed image and RGB percentage value labels:


(UITableViewCell*)tableView:(UITableView*)tableView cellForRowAtIndexPath:(NSIndexPath*)indexPath {
    UITableViewCell* cell = [tableView dequeueReusableCellWithIdentifier:@"MenuCell"];

    }
    
    if (indexPath.row == 0) {
        // Title cell

        cell.textLabel.text = @"Accelerate Sample";
        cell.selectionStyle = UITableViewCellSelectionStyleNone;

    } else if (indexPath.row == 1) {
        
        // Load transformed/processed image:
        [_imv removeFromSuperview];
        UIImage* transformImg = [self transformImage:_img];
        _imv = [[UIImageView alloc] initWithFrame:CGRectMake(3, 2, cell.bounds.size.width - 6.0f, cell.bounds.size.height - 4.0f)];
        _imv.image = transformImg;
        
        [_imv setAutoresizingMask:UIViewAutoresizingFlexibleWidth | UIViewAutoresizingFlexibleHeight];
        [cell addSubview:_imv];
        
        cell.selectionStyle = UITableViewCellSelectionStyleNone;
    } ...

    else if (indexPath.row == 6) {

// Update the RGB percentages and Kernel Size value in the UI:
        [_rLabel removeFromSuperview];
        [_gLabel removeFromSuperview];
        [_bLabel removeFromSuperview];
        [_boxLabel removeFromSuperview];
        
        _rLabel.text = [NSString stringWithFormat:@"R: %d%%", _valueRed];
        _gLabel.text = [NSString stringWithFormat:@"G: %d%%", _valueGreen];
        _bLabel.text = [NSString stringWithFormat:@"B: %d%%", _valueBlue];
        _boxLabel.text = [NSString stringWithFormat:@"Kernel Size: %d", _convolveSize];
        
        _rLabel.frame = CGRectMake(17.0f, 5.0f, 100.0f, cell.bounds.size.height - 5.0f);
        _gLabel.frame = CGRectMake(92.0f, 5.0f, 100.0f, cell.bounds.size.height - 5.0f);
        _bLabel.frame = CGRectMake(167.0f, 5.0f, 100.0f, cell.bounds.size.height - 5.0f);
        _boxLabel.frame = CGRectMake(242.0f, 5.0f, 200.0f, cell.bounds.size.height - 5.0f);
        
        [_rLabel setAutoresizingMask:UIViewAutoresizingFlexibleHeight];
        [_gLabel setAutoresizingMask:UIViewAutoresizingFlexibleHeight];
        [_bLabel setAutoresizingMask:UIViewAutoresizingFlexibleHeight];
        [_boxLabel setAutoresizingMask:UIViewAutoresizingFlexibleHeight];
        
        [cell addSubview:_rLabel];
        [cell addSubview:_gLabel];
        [cell addSubview:_bLabel];
        [cell addSubview:_boxLabel];
        
    } ...
    
    return cell;
}


To generate the processed image, the cellForRowAtIndexPath: method calls the transformImage: method, which reads the slider values and applies corresponding changes to the image. The code below shows the section of transformImage where we are calling the Accelerate framework APIs to change the RGB values and blur the image. The Accelerate framework provides the following functions for operating on 8-bit ARGB interleaved images:

  • vImageMatrixMultiply_ARGB8888 – this function multiplies each pixel (1×4) with a user-defined 4×4 matrix thus allowing various effects to be applied to the image.
  • vImageBoxConvolve_ARGB8888 – this function replaces each pixel with the mean value of its neighboring pixels, therefore blurring the image.

If you are interested in further understanding the capabilities of these functions, you can get more information from Accelerate Framework Reference.

Let’s see how these functions are used in our app. In transformImage we define a 4×4 matrix that stores current RGB values:


-(UIImage*)transformImage:(UIImage*)image {
    CGImageRef _img = image.CGImage;
    vImage_Buffer inBuffer, midBuffer, outBuffer;
    vImage_Error error;
    void *pixelBuffer, *midPixelBuffer;
    
    ...
    
    int16_t A[] = { _valueRed,          0,         0,         0,
                           0, _valueGreen,         0,         0,
                           0,          0, _valueBlue,         0,
                           0,          0,         0,         0};


We call the vImageMatrixMultiply_ARGB8888 function to apply the RGB values read from the sliders to the image:


 error = vImageMatrixMultiply_ARGB8888(&inBuffer, &midBuffer, A, meanDivisor, NULL, NULL, 0);
    
    if (error) {
        NSLog(@"error from matrix multiply %ld", error);
    }


You can play with this function by changing the value of the meanDivisor declared at the very beginning of the file. meanDivisor performs normalization after matrix multiplication is done. The default value is 100. Change it to 50 and see what happens once you build and launch the app.

We then call vImageBoxConvolve_ARGB8888 to blur the image using the edge extension algorithm:


    Pixel_8888 background;
    background[0] = 0;
    background[1] = 0;
    background[2] = 0;
    background[3] = 0;

error = vImageBoxConvolve_ARGB8888(&midBuffer, &outBuffer, NULL, 0, 0, _convolveSize, _convolveSize, background, kvImageEdgeExtend);
    
    if (error) {
        NSLog(@"error from convolution %ld", error);
    }


Building and Running the App in Visual Studio

Now that you have an understanding of the functionality of the app, let’s build and run it. While in Visual Studio, press F5 to run the app and wait for it to finish building. Once the WOCCatalog app launches, scroll to the very bottom and select Accelerate.

2_accelerate

By default, you will see an image of a mountain displayed with the Red, Green and Blue sliders set to 100%, and the Blur slider set to 1 (left picture above). Move the Blur slider to the right and observe the change in the image (middle picture). Go ahead and move the Red, Green, and Blue sliders to see what happens (right picture above). You can also select a different image to experiment with by clicking the Select Image button.

Now, let’s modify the code so you can change the RGB values and apply blur to your own image. Before we tweak the code, a couple of things need to be done. First, pick an image you want to play with (e.g. take a picture with your device camera) and put the file into winobjc/samples/WOCCatalog/Images folder. Then, go back to the Visual Studio and in the Solution Explorer right-click the Images folder, select Add –> Existing Item… from the drop down menu and point to your image. In AccelerateViewController.m locate the declaration of array of images (lines 436-445) and modify it as follows:


        images = [NSArray arrayWithObjects:[[UIImage imageNamed:@"photo1.jpg"] imageWithRenderingMode:UIImageRenderingModeAlwaysOriginal],
                  [UIImage imageNamed:@"photo2.jpg"],
                  [UIImage imageNamed:@"photo3.jpg"],
                  [UIImage imageNamed:@"photo4.jpg"],
                  [UIImage imageNamed:@"photo5.jpg"],
                  [UIImage imageNamed:@"photo6.jpg"],
                  [UIImage imageNamed:@"photo7.gif"],
                  [UIImage imageNamed:@"photo8.tif"], 
		    // add the name of your image file here, e.g.:
		    [UIImage imageNamed:@"MyImage.jpg"],

                  nil];
    }


Then, locate the viewDidLoad function (described earlier) and change line 101 as follows, so that your image is displayed when the app is launched:


_img = [UIImage imageNamed:[NSString stringWithFormat:@"MyImage.jpg"]];  


Compile and build the app. Once the app launches, go ahead and move the sliders to change the appearance of your image.

Coming Up Next

Today we’ve showed you how you can use Windows Bridge for iOS to make your existing Objective-C code that has Accelerate framework APIs calls work on Windows 10. We encourage you to visit the project’s GitHub page and check out our other contributions: BLAS APIs, Accelerometer APIs, Gyroscope APIs and more. We will continue working together on bringing you additional functionality, so more of your existing Objective-C code can run on Windows. Keep an eye out for our future contributions.

Simonjit Dutta, Engineering Manager, Intel Corporation

Nick Gerard, Program Manager, Microsoft

90 Second Unboxing: Samsung Galaxy TabPro S with Windows 10

Back in January at CES Samsung unveiled their new Windows 10 2-in-1, the Samsung Galaxy TabPro S. At 1.53lbs it’s the thinnest 2-in-1 to date and packs a major punch with its Intel Core M processor. Today we’re taking a closer look at the Galaxy TabPro S, our friends over at Samsung were kind enough to send us one to check out.

Features include

  1. Powered by Windows 10
  2. 1.53lbs
  3. Intel Core M Processor
  4. 12” vibrant Super AMOLED Display
  5. Up to 10.5 hours of video playback

Today officially marks the launch of the Galaxy TabPro S, and to celebrate Samsung held an event in New York City where Chris Cocks, VP of OEM Technical Sales joined Samsung and Intel on stage to talk more about the co-engineering of this device between Samsung and Microsoft. To learn more about today’s event read Chris’ blog post here.

At $899.99 the Samsung Galaxy TabPro S will be available in Microsoft stores*, at Samsung.com and Best Buy stores** nationwide.

* The Samsung Galaxy TabPro S will be available in Microsoft stores and microsoftstore.com starting on Monday April 4th, 2016 in the U.S., Puerto Rico and Canada.
**The Samsung Galaxy TabPro S will be available at Best Buy beginning Friday March 18, 2016. 

Welcoming the Galaxy TabPro S to the Windows 10 Family

This morning, I had the pleasure of taking the stage with Samsung, in their beautiful new Samsung 837 loft in Manhattan, to celebrate the US launch of their newest Windows 10 device, the Galaxy TabPro S.

Samsung Galaxy TabPro S with Windows 10
The Galaxy TabPro S, which was unveiled in January and that Terry Myerson featured during his appearance in Samsung’s keynote at CES, is the result of years of collaboration between Samsung, Intel and Microsoft. The end result is the Galaxy TabPro S – a beautiful, ultra thin, detachable 2-in-1 that is optimized for entertainment and offers productivity without compromise – the perfect device for both consumers and the enterprise. The TabPro S will be available in Microsoft stores*, Best Buy** and Samsung for $899.99.

Click to view slideshow.

The beautifully refined style that people have come to expect in a Galaxy is brought to life in this device. When you hold the Galaxy TabPro S in your hand, you can feel the quality and ultra-refined design. One of the reasons that Samsung decided to bring the Galaxy brand to Windows is the benefits like security, productivity and manageability that only Windows can deliver. This is also a big part of why there are over 200M devices already running Windows 10 globally today.

The TabPro S is not just a PC, it’s a powerful 2-in-1, a form-factor that Microsoft pioneered. The investments the Windows ecosystem is making in 2-in-1s is staggering. Firms, like IDC have noted this growth, saying “Everyone in the industry recognizes that traditional personal computers like desktops and notebooks will potentially be replaced by detachables in the coming years…”  In addition, “Microsoft-based devices will begin taking share from the other platforms, most notably Android.” And, “Windows should command over 50% of the detachable market over iOS and Android, and is slated to capture almost 75% by 2020.”

Samsung Galaxy TabPro S with Windows 10

Click this image to watch an unboxing video of the Samsung Galaxy TabPro S.

As I mentioned previously, the Samsung, Intel and Microsoft teams have spent countless hours collaborating and refining the user experience for the Galaxy TabPro S. Our goal from the outset was to deliver an entirely new experience and build a wonderful Windows 10 device that was not only powerful in computing capability, but also beautiful in design with the upmost functionality for mobile productivity.

With the cover, the TabPro S is ridiculously lightweight, coming in at 1.53 pounds. It’s also the thinnest Windows 10 2-in-1 on the market today.

The first thing you will notice when you pick up a Galaxy TabPro S is how light and thin it is. With the cover, the TabPro S is ridiculously lightweight, coming in at 1.53 pounds. It’s also the thinnest Windows 10 2-in-1 on the market today.

But once you turn it on, I dare you to not be completely blown away by the 12” Super AMOLED screen, which I think is the best screen on the market today. It’s incredibly bright and has so many wonderful viewing angles, perfect for sitting back and watching a movie with your loved ones, browsing on Microsoft Edge, or editing images.

One of the largest areas of investment in the Galaxy TabPro S is the work we’ve done with Samsung to optimize the Cortana experience. Together with Samsung we improved the Cortana speech accuracy from good to exceptional, with scores greater than 90% across all sound environments – from a busy house, to a coffee shop, or office space. I’ve been using the TabPro S for about a month, and I can personally attest to this. The microphone is amazing, and the optimization that our companies did together with the dual-array microphones to optimize for Cortana is extremely impressive. Even in a noisy place, people can hear me clearly.

Customers also have the ability to purchase a pen that will be coming soon, to help them take advantage of the Galaxy TabPro S’ touch screen on Universal Windows Platform applications like Bamboo Paper, but also inking within the Edge browser. In addition, if you pair that pen with OneNote, Powerpoint, even Outlook, you can have a dramatically different Windows 10 experience. Think of what this means for not only business professionals, but people in school, taking notes, or even those who like to sketch in their free time. The Galaxy TabPro S also has a fully functioning keyboard that comes standard with a responsive touchpad and with great feel.  Both the touch and pen and ink experiences on Windows 10 are exceptional, and extend some of the natural ways that people like to interact with devices.

Because of work all of our teams did together, the Galaxy TabPro S gets over ten hours of battery life when watching videos in full-screen. Ideal for long trips and travel.

The Galaxy TabPro S comes standard with an Intel Core M3 processor, which is optimized for Windows 10. Because of work all of our teams did together, the Galaxy TabPro S gets over ten hours of battery life when watching videos in full-screen. Ideal for long trips and travel.

Last but not least, the Galaxy TabPro S comes with all the best features of Windows 10, including powerful enterprise grade security features and reliability that has been designed into the core of the operating system, which make Windows 10 the most secure Windows ever. From first boot up through the supported lifetime of a device, customers will be covered by built-in security features that provide increased protection over time. Enhanced Windows Defender and SmartScreen help keep devices safe from viruses, malware, and even phishing attacks from malicious websites.

The Galaxy TabPro S also allows you to take advantage of all Universal Windows Platform applications and innovative features, like game streaming via the Xbox App, or utilizing Cortana on a daily basis.

As I hope you can tell from the above, we truly believe in the power and beauty of this Samsung Galaxy TabPro S. The design on the TabPro S is second to none. It’s extremely powerful, and beautiful. The premium design and power of the Notebook 9’s marry the thin and light design needed for versatility with the productivity and performance of a desktop. We’ve worked closely with Samsung to integrate Windows 10 into the core of these devices, enabling richer interactions and more ways for people to experience the best of Windows 10 and do things you can’t on a Mac. This tighter integration results in better battery life, quicker response and more fun.

To learn more about the Samsung Galaxy TabPro S, I encourage you to visit Microsoft stores*, Best Buy** or Samsung.com.

Thanks,

Chris

*The Samsung Galaxy TabPro S will be available in Microsoft stores and microsoftstore.com starting on Monday April 4th, 2016 in the U.S., Puerto Rico and Canada.
**The Samsung Galaxy TabPro S will be available at Best Buy beginning Friday March 18, 2016.

Intel’s contributions in Microsoft Edge: SIMD and other performance enhancements

Microsoft has a long history of collaborating with industry technology leaders to bring the world the best-in-class PC and device experiences.  These efforts  now also extend to enhancements in the web browsing experience as well.  Intel is a great example of a key technology partner who is investing and collaborating with Microsoft to advance the web.

Intel has been contributing to Chakra, the JavaScript engine for Microsoft Edge (and previously Internet Explorer), since 2012, bringing their expertise in web runtime development and JIT code generation. Recently, Intel expanded its efforts by contributing to the larger Microsoft Edge codebase, specifically focused in the areas of graphics and performance optimizations. Intel has been a major contributor to open source browser engines such as WebKit, Blink, and Gecko, and with our expanded collaboration, they are now directly contributing to the Microsoft Edge codebase to deliver an improved browsing experience for Windows 10.

Intel’s contributions in the latest Windows 10 Insider Preview

Over the last few years, Intel has been helping with the analysis of specific performance bottlenecks in the Chakra engine. Intel’s direct contributions to Chakra first landed back in the Windows 8.1 timeframe and are ongoing for Windows 10. Some examples of Intel’s direct contributions to Chakra’s JIT compiler include better instruction selection and scheduling. They’ve also helped us identify opportunities of missed redundant instruction elimination, and inline overhead reduction. All up, these changes have helped Chakra reduce code size and perform better for specific payloads.

As a part of broader collaboration between Intel and Microsoft on Windows 10,  Intel engineers are collaborating with us closely to implement Single Instruction Multiple Data (SIMD), a future ECMAScript proposal, in Chakra and Microsoft Edge. SIMD exploits data level parallelism by utilizing specific SIMD hardware instructions, which are supported in most of the modern chipsets regardless of the architecture types. The SIMD instruction set enables performing the same operation on multiple values simultaneously, thus providing much faster code execution when working on data vectors. For example, two data vectors of size four could be added via a single SIMD instruction as compared to four individual add operations. Apart from the performance benefits, getting more done with less instructions also has a positive impact on battery life.

Single Instruction Single Data: Four add operations to add the values in two vectors single instruction multiple data
Single Instruction Single Data:
Four add operations to add the values in two vectors
Single Instruction Multiple Data:
Single add operation to add values in two vectors

SIMD is extremely useful in scenarios like video processing, multimedia, gaming and others. Combined with technologies like asm.js, SIMD could turbocharge and help JavaScript content run at near native speeds. We recently announced SIMD as “In Development” at Microsoft Edge Platform Status, and as a next step, are now previewing SIMD in Chakra and Microsoft Edge for asm.js scenarios. To enable and experiment with SIMD support in Microsoft Edge, navigate to about:flags in Microsoft Edge and select the “Enable asm.js” flag as below:

Screenshot of about:flags interface to enable asm.js

Once the flag is toggled, SIMD will be enabled for code that uses asm.js. While the SIMD JavaScript APIs are available and can be used outside of asm.js scenarios, the performance benefits of SIMD currently accrue and are limited to scenarios that use asm.js running on x86 and x64 hardware. As the SIMD ECMAScript proposal advances and stabilizes, we plan to expand SIMD support in Chakra and Microsoft Edge across all scenarios and hardware.

To see the demo exposing the benefits that SIMD can provide:

  • Navigate to about:flags in Microsoft Edge
  • Toggle the “Enable asm.js” flag
  • Visit the SIMD Mandelbrot demo
  • Use Start, Stop, Use SIMD buttons to run the demo
SIMD Mandelbrot demo with SIMD disabled SIMD Mandelbrot demo with SIMD enabled

In addition to the partnership on Chakra, Intel has recently started contributing to performance improvements in the graphics, layout, and other subsystems of Microsoft Edge as well. As an example, Intel recently contributed an optimization to improve navigation (load) time for pages containing several inline elements, optimizations to reduce DOM parse times for text-area elements, and participated in investigations and root cause analysis to improve page load/response times for the Microsoft Edge browser on Windows 10. And this is only the beginning.

Congratulations to the Intel Team on their contributions to Microsoft Edge so far! We are looking forward to continue to work closely together to move the Web platform forward! Let us know what you think via @MSEdgeDev or in the comments below.

– Rob Hwacinski, Principal Program Manager Lead, Microsoft Edge
– Gaurav Seth, Principal Program Manager Lead, Chakra
– Juan Rodriguez, Senior Principal Engineer, Windows Operating Systems Division, Intel Corporation