그래픽 처리 장치

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  • However, inability of integrated GPU to enable intensive graphic designing software may hinder the market growth.[1]
  • To address limited memory constraints on GPUs, we propose a novel data partitioning scheme that effectively reduces the memory cost.[2]
  • GPU vendors have been realizing increased revenues, owing to these emerging applications.[3]
  • A graphics processing unit or GPU is a specialized processor that offloads 3D graphics rendering from the microprocessor.[4]
  • In a personal computer, a GPU can be present on a video card, or it can be on the motherboard.[4]
  • The more sophisticated the GPU, the higher the resolution, and the faster and smoother the motion.[5]
  • In smartphones and other mobile devices, GPUs feature as part of a system-on-a-chip (SoC) and are also capable of rendering graphics.[5]
  • GPUs have been favored for AI applications due to their ability to perform millions of mathematical operations in parallel.[5]
  • GPUs are used in embedded systems, mobile phones, personal computers, workstations, and game consoles.[6]
  • The use of dedicated GPU procecessors for video games originates from arcade game system boards.[6]
  • In 1988, the Namco System 21 introduced the use of custom GPU processors for 3D polygon graphics.[6]
  • Released in 1985, the Commodore Amiga was one of the first personal computers to come standard with a GPU.[6]
  • Optimally balance the processor, memory, high performance disk, and up to 8 GPUs per instance for your individual workload.[7]
  • The GPU accelerates applications running on the CPU by offloading some of the compute-intensive and time consuming portions of the code.[8]
  • A CPU consists of four to eight CPU cores, while the GPU consists of hundreds of smaller cores.[8]
  • This massively parallel architecture is what gives the GPU its high compute performance.[8]
  • The latest Tesla 20-series GPUs are based on the latest implementation of the CUDA platform called the "Fermi architecture".[8]
  • A GPU is a computer component that excels in rendering graphical content.[9]
  • A GPU is a type of programmable processor primarily used for rendering graphics.[9]
  • GPUs feature more transistors than the average central processing unit (CPU).[9]
  • GPUs are faster in performing mathematical calculations than CPUs.[9]
  • AMD uses the term VPU (pdf link), which means Visual Computing Unit.[10]
  • At this point, it is possible to add many cards with one or more GPUs on a PC.[10]
  • And since they can also be used to calculate physics (movie) as well, the GPU can be involved in nearly every aspect of computer graphics.[10]
  • Modern GPUs accelerate both 2D and 3D operations.[10]
  • Definition - What does Graphics Processing Unit (GPU) mean?[11]
  • This book brings together various research groups to review the state-of-the-art for GPUs in radiotherapy.[12]
  • The editors achieve their aim of illustrating the vast utility for the GPUs.[12]
  • Graphic processing units are located on plug-in cards, in a chipset on the motherboard or in same chip as CPU.[13]
  • The GPUs which are located in stand-alone cards contain their own RAM however in chipset they share main memory with CPU.[13]
  • Graphic processing unit uses transistors to perform mathematical calculations pertaining to the 3D graphics.[13]
  • GPUs are widely used in portable electronic devices such as tablets, laptops, medical wearable equipment, mobile phones, and many more.[13]
  • The GPUs reach this goal with the use of multiple computation cores operating on a parallel architecture.[14]
  • Such features have made the GPUs attractive for more than the development of video games.[14]
  • The application of GPUs on the numerical reconstruction of holograms from a digital in-line holographic microscope is shown.[14]
  • A GPU is a specialized processor that offloads most of the graphics tasks from the central processor unit (CPU).[14]
  • While GPUs can process data several orders of magnitude faster than a CPU due to massive parallelism, GPUs are not as versatile as CPUs.[15]
  • CPUs have large and broad instruction sets, managing every input and output of a computer, which a GPU cannot do.[15]
  • Adding 4 to 8 GPUs to this same server can provide as many as 40,000 additional cores.[15]
  • GPUs are best suited for repetitive and highly-parallel computing tasks.[15]
  • GPUs have ignited a worldwide AI boom.[16]
  • GPUs deliver the once-esoteric technology of parallel computing.[16]
  • And it’s driven the huge R&D engine behind GPUs forward.[16]
  • That’s let GPUs proliferate in surprising new fields.[16]
  • GPU is also used for multitasking that frees up the CPU’s memory to perform other tasks.[17]
  • The parallel processing structures with thousands of small cores enable the GPU to work efficiently and effectively.[17]
  • However, the discrete GPUs have their own card and separate video memory, also known as VRAM.[17]
  • We can use the CPU for the graphical processing; before the GPU, the graphic processing was done on CPUs.[17]
  • If implemented properly, a GPU within a mobile system can be a boon to performance.[18]
  • The GPU is designed as a single instruction, multiple data (SIMD) processing engine built for massively parallel workloads.[18]
  • At the heart of the GPU are one or more shaders (SIMD units) that process independent vertices, primitives, and fragments (pixels).[18]
  • Figure 1 shows some of the major differences between CPU and GPU architectures.[18]
  • A GPU is a processor designed to handle graphics operations.[19]
  • Early PCs did not include GPUs, which meant the CPU had to handle all standard calculations and graphics operations.[19]
  • On August 31, 1999, NVIDIA introduced the first commercially available GPU for a desktop computer, called the GeForce 256.[19]
  • The success of the first graphics processing unit caused both hardware and software developers alike to quickly adopt GPU support.[19]
  • Although there has been a number of attempts to accelerate MMC using GPU computing, only limited success has been reported.[20]
  • For example, Powell and Leung 12 reported a CUDA-based GPU-MMC for acoustic-optics modeling.[20]
  • Thanks to the excellent portability of OpenCL, the MMCL is capable of running on a wide range of commodity GPUs.[20]
  • Such calculations can be efficiently optimized on the modern GPUs or CPUs, resulting in high computational throughput.[20]
  • GPUs are programmed with vector based languages such as CUDA (from Nvidia).[21]
  • A GPU may be a single integrated circuit or IP added to an SoC or ASIC.[21]
  • The downside is that GPUs tend to utilize floating-point arithmetic, which is well beyond the needs of AI algorithms.[21]
  • While the terms GPU and graphics card (or video card) are often used interchangeably, there is a subtle distinction between these terms.[22]
  • Much like a motherboard contains a CPU, a graphics card refers to an add-in board that incorporates the GPU.[22]
  • GPUs come in two basic types: integrated and discrete.[22]
  • An integrated GPU does not come on its own separate card at all and is instead embedded alongside the CPU.[22]
  • A Graphics Processing Unit (GPU) is a chip or electronic circuit capable of rendering graphics for display on an electronic device.[23]
  • Before the arrival of GPUs in the late 1990s, graphic rendering was handled by the Central Processing Unit (CPU).[23]
  • This accelerates how quickly applications can process since the GPU can perform many calculations simultaneously.[23]
  • Processing data in a GPU or a Central Processing Unit (CPU) is handled by cores.[23]
  • Over the last decade, there has been a growing interest in the use of graphics processing units (GPUs) for non-graphics applications.[24]
  • A GPU may be found integrated with a CPU on the same circuit, on a graphics card or in the motherboard of a personal computer or server.[25]
  • In general, a GPU is designed for data-parallelism and applying the same operation to multiple data-items (SIMD).[25]
  • How a GPU works CPU and GPU architectures are also differentiated by the number of cores.[25]
  • GPUs can have four to 10 threads per core.[25]
  • However, the executable file for running with GPU must be compiled so that it can take into account the architecture of your computer.[26]
  • Currently, the following packages are used: GPU, USER-CUDA, and USER-OMP.[26]
  • In this section, only using the GPU package will be considered.[26]
  • The GPU style invokes options associated with the use of the GPU package.[26]
  • GPUs are most commonly used to drive high-quality gaming experiences, producing life-like digital graphics and super-slick rendering.[27]
  • 3D modelling software like AutoCAD, for example, uses GPUs to render models.[27]
  • GPUs are often favoured over CPUs for use in machine learning too, as they can process more functions in a given period of time than CPUs.[27]
  • A GPU provides the fastest graphics processing, and for gamers, the GPU is a stand-alone card plugged into the PCI Express (PCIe) bus.[28]
  • GPU circuitry can also be part of the motherboard chipset or on the CPU chip itself (see diagram below).[28]
  • The more sophisticated the GPU, the higher the resolution and the faster and smoother the motion.[28]
  • Modern GPUs are very efficient at manipulating computer graphics and image processing.[29]
  • In a personal computer, a GPU can be present on a video card or embedded on the motherboard.[29]
  • Nvidia's Kepler line of GPUs was followed by the Maxwell line, manufactured on the same process.[29]
  • With the emergence of deep learning, the importance of GPUs has increased.[29]

소스

  1. ↑ Graphic Processing Unit (GPU) Market to Grow $200.85 Billion by 2027: at 33.6% CAGR
  2. ↑ Paper
  3. ↑ Graphics Processing Unit (GPU) Market - Growth, Trends, and Forecast (2020 - 2025)
  4. ↑ 4.0 4.1 Graphics processing unit
  5. ↑ 5.0 5.1 5.2 Graphics processing units (GPUs) - statistics & facts
  6. ↑ 6.0 6.1 6.2 6.3 Graphics processing unit
  7. ↑ Cloud GPUs (Graphics Processing Units)
  8. ↑ 8.0 8.1 8.2 8.3 What Is GPU Computing?
  9. ↑ 9.0 9.1 9.2 9.3 What is a Graphics Processing Unit (GPU)? — Definition by Techslang
  10. ↑ 10.0 10.1 10.2 10.3 GPU (Graphics Processing Unit)
  11. ↑ What is a Graphics Processing Unit (GPU)?
  12. ↑ 12.0 12.1 Graphics Processing Unit-Based High Performance Computing in Radiation Therapy
  13. ↑ 13.0 13.1 13.2 13.3 GPU Market Size, Share & Forecast by 2027 : Graphics Processing Unit
  14. ↑ 14.0 14.1 14.2 14.3 GRAPHICS PROCESSING UNITS: MORE THAN THE PATHWAY TO REALISTIC VIDEO-GAMES
  15. ↑ 15.0 15.1 15.2 15.3 CPU vs GPU
  16. ↑ 16.0 16.1 16.2 16.3 What's the Difference Between a CPU vs a GPU?
  17. ↑ 17.0 17.1 17.2 17.3 Graphics processing unit
  18. ↑ 18.0 18.1 18.2 18.3 Understand the mobile graphics processing unit
  19. ↑ 19.0 19.1 19.2 19.3 GPU (Graphics Processing Unit) Definition
  20. ↑ 20.0 20.1 20.2 20.3 Graphics processing unit-accelerated mesh-based Monte Carlo photon transport simulations
  21. ↑ 21.0 21.1 21.2 Graphics Processing Unit (GPU)
  22. ↑ 22.0 22.1 22.2 22.3 What Is a GPU? Graphics Processing Units Defined
  23. ↑ 23.0 23.1 23.2 23.3 Graphics Processing Unit (GPU)
  24. ↑ Graphics processing unit (GPU) programming strategies and trends in GPU computing
  25. ↑ 25.0 25.1 25.2 25.3 What is a GPU (Graphics Processing Unit)? Definition from WhatIs.com
  26. ↑ 26.0 26.1 26.2 26.3 Graphics Processing Unit - an overview
  27. ↑ 27.0 27.1 27.2 What is a GPU?
  28. ↑ 28.0 28.1 28.2 Definition of GPU
  29. ↑ 29.0 29.1 29.2 29.3 Graphics processing unit

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Spacy 패턴 목록

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  • [{'LEMMA': 'GPU'}]
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  • [{'LEMMA': 'VPU'}]
  • [{'LOWER': 'graphics'}, {'LEMMA': 'accelerator'}]
  • [{'LOWER': 'graphic'}, {'LOWER': 'processing'}, {'LEMMA': 'Unit'}]
  • [{'LOWER': 'video'}, {'LOWER': 'processing'}, {'LEMMA': 'Unit'}]
  • [{'LOWER': 'graphic'}, {'LEMMA': 'unit'}]
  • [{'LOWER': 'video'}, {'LEMMA': 'unit'}]
  • [{'LOWER': 'graphical'}, {'LOWER': 'processing'}, {'LEMMA': 'unit'}]
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