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Will Qualcomm Unveil The Snapdragon 820 SoC

August 17, 2015 by  
Filed under Computing

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Qualcomm is set to unveil its new Snapdragon 820 SoC on August 11 in LA and more details are being leaked than you would see at a Welsh leak recipe contest.

It appears that the new Snapdragon 820 will have the catchy title MSM8996 and it promises some significant performance improvements in key areas. We already know that it will not be catching fire, but it also has a 40 per cent GPU performance increase with its A530 GPU.

The device is also claimed to have a 30 per cent power improvement with 64b of shared virtual memory with the CPU.

Another big area of improvement is the Hydra CPU, which claims a 35 percent improvement compared to the Snapdragon 810.

The Snapdragon 820 will support 4k60 entertainment and high-speed data connectivity.

There are rumours that there will be a QFE3100 Envelope Tracking system this will not speed up mail in the criminally slow Italian Post Office, but should create a lower power and a thermal footprint. A dedicated low power sensor is integrated for always on use.

Another major upgrade compared to the older SoC is a switch from 20nm to 14nm FinFET manufacturing process. We are still expecting the Xiaomi Mi5 to be the first one to use it.

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Qualcomm Gives Snapdragon More Umph

April 30, 2015 by  
Filed under Computing

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Qualcomm has released a new Trepn Profiler app for Android which will profile Snapdragon processors and tinker with them.

The Trepn Profiler app identifies apps that overwork the CPU or are eating too much data. The app will pinpoint which of the apps drain the battery faster.

All data that will be obtained by this app can provide information you need to know which program is slowing down your phone.

Most Android phone users will not give a damn, but developers will find it useful. Those who are interested in testing roms, custom kernels, and their own apps can use the data gathered by the Trepn Profiler.

Developers can measure optimisation and performance on Snapdragon-powered mobile devices. Data are real-time include network usage, battery power, GPU frequency load, and CPU cores’ load. Key features also include six fast-loading profiling presets, and an advanced mode to manually select data points and save for analysis.

The Advanced Mode allows profiling a single app or device, offline data analysis, and increasing of data collection interval. This special mode also allows longer profiling sessions, displaying two data point in one overlay, and viewing of profile data.

All up this should enable developers to come up with more Snapdragon friendly apps.

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