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About a month after the launch of Optix MAG322CR, MSI further expands its catalog of gaming monitor with two new models, Optix MAG273 is Optix MAG273R, very similar solutions in terms of technical characteristics, optimized especially for eSports. We are facing two displays that look a lot at performance, capable of offering one refresh rate up to 144 Hz is response time 1ms, equipped among other things with a 27 "Full-HD IPS panel (DCI-P3 98%, sRGB 139%).

Aesthetically the monitors are very similar (we could say identical), characterized by a design with thin frames and RGB Mystic Light backlighting; the only difference lies in the support base and the respective ergonomics: Optix MAG273R can also be adjusted in height, while the MAG273 variant only allows you to adjust the inclination.

Among the other features we find one brightness of 250 nits (not the maximum), viewing angles 178/178 °, AMD FreeSync support and several typical MSI optimizations; among these, in addition to custom RGB management, we have the modes Game Mode and Night Vision, without forgetting the possibility of using the Gaming OSD app to better set the monitor.

MSI currently not communicated the prices of the new Optix MAG273 and MAG273R, for more details and insights you can consult the links in the STREET.

TECHNICAL SPECIFICATIONS MSI Optix MAG273 and MAG273R

  • Panel: IPS (DCI-P3 98%, sRGB 139%) 1.07 billion colors
  • Resolution: 1920×1080 pixels
  • Refresh rate: 144 Hz
  • Response time: 1ms
  • Brightness: 250 nits
  • Contrast: 1000: 1
  • Video input: Display Port 1.2a, 2x HDMI 2.0
  • I / O: 2x USB 2.0 Type A + 1x USB 2.0 Type B, headphone jack
  • AMD FreeSync support
  • Support VESA 100x100mm
  • Ergonomics: inclination -5 ° ~ 20 °, height up to 130mm (only MAG273R)
  • Other: Anti-Flicker, MSI Mystic Light, Game Mode, Night Vision, Gaming OSD
  • Consumption: 30W

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On the occasion of the DirectX Developer Day held yesterday in streaming on Mixer, Microsoft has announced the DirectX 12 Ultimate API, an improved version of the now mature DX12 libraries that will bring interesting developments both in PC gaming and console.

In addition to new technologies and programming tools that we will talk about shortly, it must be emphasized that DirectX 12 Ultimate are born mainly with the aim of definitively unifying the PC and Xbox platforms, trying in this way to favor the task of the developers as much as possible.

Among the main features of DirectX 12 Ultimate there is certainly the full support for ray-tracing technology, especially at DirectX Raytracing 1.1 (DXR 1.1) – an evolution of the DXR 1.0 introduced by Microsoft in 2018 – but that's not all, DirectX 12 Ultimate adds new features like Variable Rate Shading, Mesh shader is Sampler Feedback.

Variable Rate Shading it is certainly one of the most interesting techniques since it should significantly optimize the GPU performance, allowing substantially to focus the graphics chip's computing power on certain areas of the game scene (the most important ones), rendering the rest of the image with a quality slightly lower, all in favor of a smoother framerate and definitely more optimized load on the graphics card.

Mesh shader instead, it is a feature already introduced by NVIDIA on Turing GPUs and essentially allows you to create and manage more complex scenes, while trying to avoid the so-called "bottlenecks". Sampler Feedback it moves in a similar direction in terms of optimizations and basically allows you to use memory more efficiently, probably with a positive impact when it comes to high resolutions (beyond QHD).

Needless to say, there are currently no titles that can take full advantage of DirectX 12 Ultimate, but below you can see an example of what we will be able to see in the two demos released respectively by NVIDIA and AMD:

DirectX 12 Ultimate are compatible with NVIDIA GeForce RTX graphics cards and upcoming AMD Radeons with RDNA2 architecture. Microsoft will release the new APIs with the Windows 10 20H1 update which at the moment, however, does not have a precise launch date.

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Thanks to Summit, the most powerful supercomputer in the world, researchers have managed to identify 77 chemicals potentially capable of stopping, or at least slowing down, the infection of host cells by SARS-CoV-2, the coronavirus that causes COVID-19 respiratory syndrome and that is forcing everyone into the house. It is a very important step for the creation of an effective and reliable vaccine: but the path of research is still very complex.

Summit is a supercomputer commissioned to IBM by the United States in 2014. It has an overall computing power of 200 PetaFLOPs per second, although currently the benchmark system Linpack it places it just under 150. In any case, always the same service classifies it as the most powerful supercomputer in the world – and by far: the second and third place, respectively the IBM Sierra (USA) and the Sunway TaihuLight ( China), scores of 94.6 and 93 PetaFLOP per second.

The system is formed by 4,608 processing nodes, each comprising 2 IBM Power9 CPUs and 6 NVIDIA Tesla GPUs, which communicate with each other at a speed of 25 Gigabyte per second. Overall, the system – which is roughly the size of two tennis courts, uses nearly 300 km of fiber optic and weighs 340 tons – can count on 250 petabytes of storage capacity.

The machine is in service at the national laboratory in Oak Ridge, Tennessee, and was designed to help scientists "solve the world's big problems", and is being used to important advances in the medical field. For example, he managed to identify warning signs of Alzheimer's and identified the genes that make the patient more vulnerable to opioid addictions. But not only: it was also used to predict extreme weather events by analyzing the weather of the previous days.

The coronavirus, simplifying a lot, infects the cells of a host organism by binding it chemically and consuming them to replicate itself. Summit's job was the following: find, through innumerable simulations, which substances that can be used in a drug could bind to the virus before it infects the host. Of the more than 8,000 substances analyzed, the supercomputer identified 77, and naturally classified in order of probability.

As we said, it is an important development because offers researchers precise direction, so that they don't have to make blind attempts; however, the results still need to be validated in the field. In addition, computer processing is based on an old model of the virus, dating back to mid-January. The next work will therefore repeat all the simulations using the most updated and precise model published in the past few days.