Global Heterogeneous Mobile Processing and Computing Market
Heterogeneous mobile processing (HMP) and computing utilizes various components such as graphical processor unit and central processing unit together on a same silicon chip to provide power efficiency and improved performance. HMP improves the 3D graphic capabilities. It is able to perform mathematical intensive calculation on large data sets. HMP and computing combines the benefit of different components such as graphical processing unit (GPU), central processing unit (CPU) and field-programmable gate arrays (FPGA). It offers different advantages including high definition videoconferencing, improved display clarity, real-time language interpretation and translation among others. HMP and computing enhances the performance by assigning each individual task to appropriate component such as graphical processor unit. HMP is capable to perform vector processing that enables it to carry out parallel operation on large data sets. Central processing units are used for various purposes such as addressing data parallel programming task. Field-programmable gate arrays perform the function of digital signal processing and speech recognition. HMP and computing combines all the benefits of these devices (CPUs, GPUs and FPGA) such as low latency, longer product life, efficient use of diverse processor, less power consumption and improved performance among others. Request Free Report Sample@ http://www.futuremarketinsights.com/reports/sample/rep-gb-265
Heterogeneous mobile processing (HMP) and computing utilizes various components such as graphical processor unit and central processing unit together on a same silicon chip to provide power efficiency and improved performance. HMP improves the 3D graphic capabilities. It is able to perform mathematical intensive calculation on large data sets. HMP and computing combines the benefit of different components such as graphical processing unit (GPU), central processing unit (CPU) and field-programmable gate arrays (FPGA). It offers different advantages including high definition videoconferencing, improved display clarity, real-time language interpretation and translation among others.
HMP and computing enhances the performance by assigning each individual task to appropriate component such as graphical processor unit. HMP is capable to perform vector processing that enables it to carry out parallel operation on large data sets. Central processing units are used for various purposes such as addressing data parallel programming task. Field-programmable gate arrays perform the function of digital signal processing and speech recognition. HMP and computing combines all the benefits of these devices (CPUs, GPUs and FPGA) such as low latency, longer product life, efficient use of diverse processor, less power consumption and improved performance among others.
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Future <strong>Market</strong> Insights<br />
<strong>Global</strong><br />
<strong>Heterogeneous</strong><br />
<strong>Mobile</strong> <strong>Processing</strong><br />
<strong>and</strong> <strong>Computing</strong><br />
<strong>Market</strong><br />
Share, <strong>Global</strong> Trends,<br />
Analysis, Research, Report,<br />
Opportunities,<br />
Segmentation <strong>and</strong> Forecast,<br />
2014 – 2020<br />
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Report Description<br />
<strong>Heterogeneous</strong> mobile processing (HMP) <strong>and</strong> computing utilizes various components such as<br />
graphical processor unit <strong>and</strong> central processing unit together on a same silicon chip to provide<br />
power efficiency <strong>and</strong> improved performance. HMP improves the 3D graphic capabilities. It is<br />
able to perform mathematical intensive calculation on large data sets. HMP <strong>and</strong> computing<br />
combines the benefit of different components such as graphical processing unit (GPU), central<br />
processing unit (CPU) <strong>and</strong> field-programmable gate arrays (FPGA). It offers different advantages<br />
including high definition videoconferencing, improved display clarity, real-time language<br />
interpretation <strong>and</strong> translation among others.<br />
HMP <strong>and</strong> computing enhances the performance by assigning each individual task to appropriate<br />
component such as graphical processor unit. HMP is capable to perform vector processing that<br />
enables it to carry out parallel operation on large data sets. Central processing units are used for<br />
various purposes such as addressing data parallel programming task. Field-programmable gate<br />
arrays perform the function of digital signal processing <strong>and</strong> speech recognition. HMP <strong>and</strong><br />
computing combines all the benefits of these devices (CPUs, GPUs <strong>and</strong> FPGA) such as low<br />
latency, longer product life, efficient use of diverse processor, less power consumption <strong>and</strong><br />
improved performance among others.<br />
Increasing availability of digital content coupled with expectation for advanced visual experience<br />
such as viewing content in HD <strong>and</strong> video playback are driving the growth of HMP <strong>and</strong> computing<br />
market.
Report Description<br />
Emergence of operating system for advanced multitasking capabilities requires high processing<br />
efficiency which is further supporting the dem<strong>and</strong> for HMP <strong>and</strong> computing market. Growing<br />
dem<strong>and</strong> for high performance <strong>and</strong> miniaturized electronic devices across the different industries<br />
is fueling the dem<strong>and</strong> for HMP <strong>and</strong> computing solutions. Additionally, increasing dem<strong>and</strong> in<br />
semiconductor industry for high functionality on a single chip is fuelling the market growth.<br />
Continuous technological advancement in industries such as consumer electronics <strong>and</strong><br />
telecommunication is offering potential opportunity for HMP <strong>and</strong> computing market. However,<br />
complexity in designing such computing environment in a same platform is affecting the growth<br />
of HMP <strong>and</strong> computing solutions.<br />
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265<br />
<strong>Heterogeneous</strong> mobile processing <strong>and</strong> computing market can be segmented on the basis of<br />
component, technology node <strong>and</strong> applications. <strong>Heterogeneous</strong> mobile processing <strong>and</strong><br />
computing uses hardware <strong>and</strong> software component. Hardware components include processor,<br />
digital signal processor, graphical processing unit (GPU) <strong>and</strong> connectivity devices such as USB<br />
cable <strong>and</strong> Bluetooth among others. The software components include various middleware tools<br />
<strong>and</strong> programming languages such as C/C++ <strong>and</strong> open VX used for developing heterogeneous<br />
processing platform. Different technology node includes 45 nm, 28 nm, 20 nm, 14 nm, 10 nm, 7<br />
nm <strong>and</strong> 5 nm.
Report Description<br />
<strong>Heterogeneous</strong> mobile processing <strong>and</strong> computing has widespread application across various<br />
industries such as telecommunication, automotive, military <strong>and</strong> defense, consumer electronics,<br />
industrial sector <strong>and</strong> healthcare among others. Consumer electronic products such as tablets,<br />
smart phones, smart TV’s <strong>and</strong> notebook uses HMP solutions.<br />
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Some of the key players in heterogeneous mobile processing <strong>and</strong> computing market include<br />
Advanced Micro Devices Inc., Apple Inc., Auviz Systems, Arm Holdings Plc, Imagination<br />
Technologies Group Plc, Nvidia Corporation, Mediatek Inc., Qualcomm Inc., Intel Corporation,<br />
Sapphire Technology, Realtek Semiconductor Corporation, Logitech International S.A, Texas<br />
Instrument Inc., <strong>and</strong> Samsung Electronics Co. Ltd among others.
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