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A system on a chip or system-on-chip is an integrated circuit that integrates most or all components of a computer or other electronic system. These components almost always include on-chip central processing unit (CPU), memory interfaces, input/output devices and interfaces, and secondary storage interfaces, often alongside other components such as radio modems and a graphics processing unit (GPU) – all on a single substrate or microchip. SoCs may contain digital and also analog, mixed-signal and often radio frequency signal processing functions.
A coprocessor is a computer processor used to supplement the functions of the primary processor. Operations performed by the coprocessor may be floating-point arithmetic, graphics, signal processing, string processing, cryptography or I/O interfacing with peripheral devices. By offloading processor-intensive tasks from the main processor, coprocessors can accelerate system performance. Coprocessors allow a line of computers to be customized, so that customers who do not need the extra performance do not need to pay for it.
Neuromorphic computing is an approach to computing that is inspired by the structure and function of the human brain. A neuromorphic computer/chip is any device that uses physical artificial neurons to do computations. In recent times, the term neuromorphic has been used to describe analog, digital, mixed-mode analog/digital VLSI, and software systems that implement models of neural systems. The implementation of neuromorphic computing on the hardware level can be realized by oxide-based memristors, spintronic memories, threshold switches, transistors, among others. Training software-based neuromorphic systems of spiking neural networks can be achieved using error backpropagation, e.g., using Python based frameworks such as snnTorch, or using canonical learning rules from the biological learning literature, e.g., using BindsNet.
Binary Runtime Environment for Wireless was an application development platform created by Qualcomm, originally for code division multiple access (CDMA) mobile phones, featuring third-party applications such as mobile games. It was offered in some feature phones but not in smartphones. First developed in 1999, as a platform for wireless applications on CDMA-based mobile phones, it debuted in September 2001. As a software platform that can download and run small programs for playing games, sending messages, and sharing photos, the main advantage of Brew MP was that the application developers can easily port their applications among all Brew MP devices by providing a standardized set of application programming interfaces. Software for Brew MP enabled handsets can be developed in C or C++ using the freely downloadable Brew MP software development kit (SDK). The BREW runtime library is part of the wireless device on-chip firmware or operating system to allow programmers to develop applications without needing to code for system interface or understand wireless applications. BREW is described as a pseudo operating system, but not a true mobile operating system. BREW was not a virtual machine such as Java ME, but it runs a native code.
Qualcomm Atheros is a developer of semiconductor chips for network communications, particularly wireless chipsets. The company was founded under the name T-Span Systems in 1998 by experts in signal processing and VLSI design from Stanford University, the University of California, Berkeley, and private industry. The company was renamed Atheros Communications in 2000 and it completed an initial public offering in February 2004, trading on the NASDAQ under the symbol ATHR.
MediaTek Inc. is a Taiwanese fabless semiconductor company that provides chips for wireless communications, high-definition television, handheld mobile devices like smartphones and tablet computers, navigation systems, consumer multimedia products and digital subscriber line services as well as optical disc drives.
Snapdragon is a suite of system on a chip (SoC) semiconductor products for mobile devices designed and marketed by Qualcomm Technologies Inc. The Snapdragon's central processing unit (CPU) uses the ARM architecture. As such, Qualcomm often refers to the Snapdragon as a "mobile platform". Snapdragon semiconductors are embedded in devices of various systems, including vehicles, Android, Windows Phone and netbooks. In addition to the processors, the Snapdragon line includes modems, Wi-Fi chips and mobile charging products.
Arm Holdings plc is a British semiconductor and software design company based in Cambridge, England, whose primary business is the design of central processing unit (CPU) cores that implement the ARM architecture family of instruction sets. It also designs other chips, provides software development tools under the DS-5, RealView and Keil brands, and provides systems and platforms, system-on-a-chip (SoC) infrastructure and software. As a "holding" company, it also holds shares of other companies. Since 2016, it has been owned by Japanese conglomerate SoftBank Group.
Hexagon is the brand name for a family of digital signal processor (DSP) products by Qualcomm. Hexagon is also known as QDSP6, standing for “sixth generation digital signal processor.” According to Qualcomm, the Hexagon architecture is designed to deliver performance with low power over a variety of applications.
Tango was an augmented reality computing platform, developed and authored by the Advanced Technology and Projects (ATAP), a skunkworks division of Google. It used computer vision to enable mobile devices, such as smartphones and tablets, to detect their position relative to the world around them without using GPS or other external signals. This allowed application developers to create user experiences that include indoor navigation, 3D mapping, physical space measurement, environmental recognition, augmented reality, and windows into a virtual world.
Heterogeneous computing refers to systems that use more than one kind of processor or core. These systems gain performance or energy efficiency not just by adding the same type of processors, but by adding dissimilar coprocessors, usually incorporating specialized processing capabilities to handle particular tasks.
Computation offloading is the transfer of resource intensive computational tasks to a separate processor, such as a hardware accelerator, or an external platform, such as a cluster, grid, or a cloud. Offloading to a coprocessor can be used to accelerate applications including: image rendering and mathematical calculations. Offloading computing to an external platform over a network can provide computing power and overcome hardware limitations of a device, such as limited computational power, storage, and energy.
TensorFlow is a free and open-source software library for machine learning and artificial intelligence. It can be used across a range of tasks but has a particular focus on training and inference of deep neural networks.
Google's Advanced Technology and Projects group (ATAP) is a skunkworks team and in-house technology incubator, created by former DARPA director Regina Dugan. ATAP is similar to X, but works on projects, granting project leaders time—previously only two years—in which to move a project from concept to proven product. According to Dugan, the ideal ATAP project combines technology and science, requires a certain amount of novel research, and creates a marketable product. Historically, the ATAP team was born at Motorola Mobility and kept when Google sold Motorola Mobility to Lenovo in 2014; for this reason, ATAP ideas have tended to involve mobile hardware technology.
A vision processing unit (VPU) is an emerging class of microprocessor; it is a specific type of AI accelerator, designed to accelerate machine vision tasks.
Tensor Processing Unit (TPU) is an AI accelerator application-specific integrated circuit (ASIC) developed by Google for neural network machine learning, using Google's own TensorFlow software. Google began using TPUs internally in 2015, and in 2018 made them available for third party use, both as part of its cloud infrastructure and by offering a smaller version of the chip for sale.
An AI accelerator is a class of specialized hardware accelerator or computer system designed to accelerate artificial intelligence and machine learning applications, including artificial neural networks and machine vision. Typical applications include algorithms for robotics, Internet of Things, and other data-intensive or sensor-driven tasks. They are often manycore designs and generally focus on low-precision arithmetic, novel dataflow architectures or in-memory computing capability. As of 2018, a typical AI integrated circuit chip contains billions of MOSFET transistors. A number of vendor-specific terms exist for devices in this category, and it is an emerging technology without a dominant design.
The booting process of Android devices starts at the power-on of the SoC and ends at the visibility of the home screen, or special modes like recovery and fastboot. The boot process of devices that run Android is influenced by the firmware design of the SoC manufacturers.
BrainChip is an Australia-based technology company, founded in 2004 by Peter Van Der Made, that specializes in developing advanced artificial intelligence (AI) and machine learning (ML) hardware. The company's primary products are the MetaTF development environment, which allows the training and deployment of spiking neural networks (SNN), and the AKD1000 neuromorphic processor, a hardware implementation of their spiking neural network system. BrainChip's technology is based on a neuromorphic computing architecture, which attempts to mimic the way the human brain works. The company is a part of Intel Foundry Services and Arm AI partnership.
References
- 1 2 3 4 5 Simonite, Tom (March 9, 2015). "Smartphones Will Soon Learn to Recognize Faces and More". Technology Review . Retrieved March 10, 2015.
- ↑ Rubin, Ben Fox (March 2, 2015). "Qualcomm's Zeroth platform could make your smartphone much smarter". CNET. Retrieved March 10, 2015.