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Qualcomm Inc graphical processing unit (gpu)
Graphical Processing Unit (Gpu), supplied by Qualcomm Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/graphical+processing+unit+(gpu)/gpus/us12102591-142-4-12
Average 90 stars, based on 1 article reviews
graphical processing unit (gpu) - by Bioz Stars, 2026-09
90/100 stars

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Article Title: System and method for controlling a massage apparatus
Article Snippet: The graphical processing unit (GPU) should have a processing speed of preferably Qualcomm Adreno 540 and above.

Article Title: Performance modeling on DaVinci AI core
Article Snippet: Journal of Parallel and Distributed Computing 175 (2023) 134–149 Contents lists available at ScienceDirect Journal of Parallel and Distributed Computing journal homepage: www.elsevier.com/locate/jpdc Performance modeling on DaVinci AI core Yifeng Tang ∗, Cho-li Wang Department of Computer Science, The University of Hong Kong, Room 414, Chow Yei Ching Building, Hong Kong a r t i c l e i n f o a b s t r a c t Article history: Received 30 August 2022 Received in revised form 13 December 2022 Accepted 24 January 2023 Available online 1 February 2023 Keywords: AI processors Benchmarking Performance modeling The extensive use of Deep Neural Networks (DNNs) encourages people to design domain-specific hardware called Artificial Intelligence (AI) processors.. The novel hardware makes optimizations challenging without a proper performance model that reveals working details and performance implications.. This paper presents a performance model, Verrocchio, for Huawei DaVinci AI Core, which predicts the execution time of real-world DaVinci kernels.

Article Title: Buck-boost battery charger for dual battery application
Article Snippet: One or both of these subsystems can include a CPU running a conventional operating system such as Windows or Apple OS, and can be an x86 processor from Intel, AMD or other manufacturers, as well as other processors made by Freescale, Qualcomm, DSPs, GPUs, etc.

Article Title: GPU Based High Definition Parallel Video Codec Optimization in Mobile Device
Article Snippet: With the explosive growth of various intelligent device and the rapid development of wireless network communication technology, most people prefer to use video applications on smart devices.. However, themain challengeswhen using video codec technology onmobile devices are: 1) The explosive growth of multimedia applications has caused the allocation of computing resources to become an important issue; 2) high power consumption and limited battery power; 3) high cpu utilization causes the system to be unresponsive.. In this paper, a GPU basedHigh Definition Parallel VideoCodec (GHPVC) is proposed, which is a low energy consumption and high efficient video codec onmobile devices.

Article Title: Content filtering in media playing devices
Article Snippet: Chips It should be further appreciated that CPU 12 may be one of a variety of system-on-a-chip (SOC) type hardware that may include additional hardware such as memory or graphics processing chips, such as a QUALCOMM SNAPDRAGONTM or SAMSUNG EXYNOSTM CPU as are becoming increasingly common in the art, such as for use in mobile devices or integrated devices.

Article Title: System and method for providing reverse boost mode in battery charger application
Article Snippet: In these and other embodiments, system 100 includes a load 116, which can include a CPU 124 running a conventional operating system such as Windows, Android or Apple iOS, and can be an x86 processor from Intel, AMD or other manufacturers, as well as other processors made by Freescale, Qualcomm, DSPs, GPUs, etc.

Article Title: Multi-aperture ranging devices and methods
Article Snippet: Examples of processors include the PowerPCTM family of processors by IBM and the x86 family of processors by Intel such as the XeonTM family of processors and the Intel X5650 processor and Graphical Processor Units (GPUs) such as manufactured by NVIDIA and Qualcomm.

Article Title: Method for processing and displaying multi-channel spectral histograms and systems for same
Article Snippet: As described above, any convenient graphics processor may be employed, such commercially available graphics processors available from Nvidia, AMD, Intel, Qualcomm or ARM.



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CPU Intel-Core i9 and  GPU  computation time in minutes for the different cases of N using the BHM approach for solving the CH equation in  3D  with random initial condition.

Journal: AIMS mathematics

Article Title: Efficient numerical approaches with accelerated graphics processing unit (GPU) computations for Poisson problems and Cahn-Hilliard equations

doi: 10.3934/math.20241334

Figure Lengend Snippet: CPU Intel-Core i9 and GPU computation time in minutes for the different cases of N using the BHM approach for solving the CH equation in 3D with random initial condition.

Article Snippet: Finally, we also show how to speed up 3D simulations by performing graphics processing unit (GPU) computations by using simple MATLAB commands.

Techniques: