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Nigel Toon
Graphcore Limited is a British semiconductor company that develops accelerators for AI and machine learning. It has introduced a massively parallel ''Intelligence Processing Unit'' (IPU) that holds the complete machine learning model inside the processor. History Graphcore was founded in 2016 by Simon Knowles and Nigel Toon. In the autumn of 2016, Graphcore secured a first funding round led by Robert Bosch Venture Capital. Other backers included Samsung, Amadeus Capital Partners, C4 Ventures, Draper Esprit, Foundation Capital, and Pitango. In July 2017, Graphcore secured a round B funding led by Atomico, which was followed a few months later by $50 million in funding from Sequoia Capital. In December 2018, Graphcore closed its series D with $200 million raised at a $1.7 billion valuation, making the company a unicorn. Investors included Microsoft, Samsung and Dell Technologies. On 13 November 2019, Graphcore announced that their Graphcore C2 IPUs were available for preview on ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Privately-held Company
A privately held company (or simply a private company) is a company whose Stock, shares and related rights or obligations are not offered for public subscription or publicly negotiated in their respective listed markets. Instead, the Private equity, company's stock is offered, owned, traded or exchanged privately, also known as "over-the-counter (finance), over-the-counter". Related terms are unlisted organisation, unquoted company and private equity. Private companies are often less well-known than their public company, publicly traded counterparts but still have major importance in the world's economy. For example, in 2008, the 441 list of largest private non-governmental companies by revenue, largest private companies in the United States accounted for $1.8 trillion in revenues and employed 6.2 million people, according to ''Forbes''. In general, all companies that are not owned by the government are classified as private enterprises. This definition encompasses both publ ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Microsoft Azure
Microsoft Azure, or just Azure ( /ˈæʒər, ˈeɪʒər/ ''AZH-ər, AY-zhər'', UK also /ˈæzjʊər, ˈeɪzjʊər/ ''AZ-ure, AY-zure''), is the cloud computing platform developed by Microsoft. It has management, access and development of applications and services to individuals, companies, and governments through its global infrastructure. It also provides capabilities that are usually not included within other cloud platforms, including software as a service (SaaS), platform as a service (PaaS), and infrastructure as a service (IaaS). Microsoft Azure supports many programming languages, tools, and frameworks, including Microsoft-specific and third-party software and systems. Azure was first introduced at the Professional Developers Conference (PDC) in October 2008 under the codename "Project Red Dog". It was officially launched as Windows Azure in February 2010 and later renamed to Microsoft Azure on March 25, 2014. Services Microsoft Azure uses large-scale virtualizati ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Half-precision Floating-point Format
In computing, half precision (sometimes called FP16 or float16) is a binary floating-point computer number format that occupies 16 bits (two bytes in modern computers) in computer memory. It is intended for storage of floating-point values in applications where higher precision is not essential, in particular image processing and neural networks. Almost all modern uses follow the IEEE 754-2008 standard, where the 16-bit base-2 format is referred to as binary16, and the exponent uses 5 bits. This can express values in the range ±65,504, with the minimum value above 1 being 1 + 1/1024. Depending on the computer, half-precision can be over an order of magnitude faster than double precision, e.g. 550 PFLOPS for half-precision vs 37 PFLOPS for double precision on one cloud provider. History Several earlier 16-bit floating point formats have existed including that of Hitachi's HD61810 DSP of 1982 (a 4-bit exponent and a 12-bit mantissa), Thomas J. Scott's WIF of 1991 (5 ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Multiple Instruction, Multiple Data
In computing, multiple instruction, multiple data (MIMD) is a technique employed to achieve parallelism. Machines using MIMD have a number of processor cores that function asynchronously and independently. At any time, different processors may be executing different instructions on different pieces of data. MIMD architectures may be used in a number of application areas such as computer-aided design/computer-aided manufacturing, simulation, modeling, and as communication switches. MIMD machines can be of either shared memory or distributed memory categories. These classifications are based on how MIMD processors access memory. Shared memory machines may be of the bus-based, extended, or hierarchical type. Distributed memory machines may have hypercube or mesh interconnection schemes. Examples An example of MIMD system is Intel Xeon Phi, descended from Larrabee microarchitecture. These processors have multiple processing cores (up to 61 as of 2015) that can execute differen ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
FP16
In computing, half precision (sometimes called FP16 or float16) is a binary floating-point computer number format that occupies 16 bits (two bytes in modern computers) in computer memory. It is intended for storage of floating-point values in applications where higher precision is not essential, in particular image processing and neural networks. Almost all modern uses follow the IEEE 754-2008 standard, where the 16-bit base-2 format is referred to as binary16, and the exponent uses 5 bits. This can express values in the range ±65,504, with the minimum value above 1 being 1 + 1/1024. Depending on the computer, half-precision can be over an order of magnitude faster than double precision, e.g. 550 PFLOPS for half-precision vs 37 PFLOPS for double precision on one cloud provider. History Several earlier 16-bit floating point formats have existed including that of Hitachi's HD61810 DSP of 1982 (a 4-bit exponent and a 12-bit mantissa), Thomas J. Scott's WIF of 1991 (5 e ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
FLOPS
Floating point operations per second (FLOPS, flops or flop/s) is a measure of computer performance in computing, useful in fields of scientific computations that require floating-point calculations. For such cases, it is a more accurate measure than measuring instructions per second. Floating-point arithmetic Floating-point arithmetic is needed for very large or very small real numbers, or computations that require a large dynamic range. Floating-point representation is similar to scientific notation, except computers use base two (with rare exceptions), rather than base ten. The encoding scheme stores the sign, the exponent (in base two for Cray and VAX, base two or ten for IEEE floating point formats, and base 16 for IBM Floating Point Architecture) and the significand (number after the radix point). While several similar formats are in use, the most common is ANSI/IEEE Std. 754-1985. This standard defines the format for 32-bit numbers called ''single precision'', a ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Artificial Neural Network
In machine learning, a neural network (also artificial neural network or neural net, abbreviated ANN or NN) is a computational model inspired by the structure and functions of biological neural networks. A neural network consists of connected units or nodes called '' artificial neurons'', which loosely model the neurons in the brain. Artificial neuron models that mimic biological neurons more closely have also been recently investigated and shown to significantly improve performance. These are connected by ''edges'', which model the synapses in the brain. Each artificial neuron receives signals from connected neurons, then processes them and sends a signal to other connected neurons. The "signal" is a real number, and the output of each neuron is computed by some non-linear function of the sum of its inputs, called the '' activation function''. The strength of the signal at each connection is determined by a ''weight'', which adjusts during the learning process. Typically, ne ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
7 Nm Process
In semiconductor manufacturing, the "7 nm" process is a term for the MOSFET technology node following the "10 nm" node, defined by the International Roadmap for Devices and Systems (IRDS), which was preceded by the International Technology Roadmap for Semiconductors (ITRS). It is based on FinFET (fin field-effect transistor) technology, a type of multi-gate MOSFET technology. As of 2021, the IRDS Lithography standard gives a table of dimensions for the "7 nm" node, with examples given below: The 2021 IRDS Lithography standard is a retrospective document, as the first volume production of a "7 nm" branded process was in 2016 with Taiwan Semiconductor Manufacturing Company's (TSMC) production of 256Mbit SRAM memory chips using a "7 nm" process called N7. Samsung started mass production of their "7nm" process (7LPP) devices in 2018. These process nodes had the same approximate transistor density as Intel's "''10 nm Enhanced Superfin''" node, later rebranded "Intel 7." Since at ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
TSMC
Taiwan Semiconductor Manufacturing Company Limited (TSMC or Taiwan Semiconductor) is a Taiwanese multinational semiconductor contract manufacturing and design company. It is one of the world's most valuable semiconductor companies, the world's largest Foundry model#Dedicated foundry, dedicated independent ("Pure play, pure-play") Foundry (electronics), semiconductor foundry, and Taiwan's largest company, with headquarters and main operations located in the Hsinchu Science Park in Hsinchu, Taiwan. Although the government of Taiwan is the largest individual shareholder, the majority of TSMC is owned by foreign investors. In 2023, the company was ranked 44th in the Forbes Global 2000, ''Forbes'' Global 2000. Taiwan's exports of integrated circuits amounted to $184 billion in 2022, nearly 25 percent of Taiwan's GDP. TSMC constitutes about 30 percent of the Taiwan Stock Exchange's main index. TSMC was founded in 1987 by Morris Chang as the world's first dedicated semiconductor foun ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Citadel LLC
Citadel LLC (formerly known as Citadel Investment Group, LLC) is an American multinational hedge fund and financial services company. Founded in 1990 by Kenneth Griffin, it has more than $65 billion in assets under management . The company has over 2,900 employees, with corporate headquarters in Miami, Florida, and offices throughout North America, Asia, and Europe. Founder, CEO and Co-CIO Griffin owns approximately 85% of the firm. As of December 2022, Citadel is one of the most profitable hedge funds in the world, posting $74 billion in net gains since its inception in 1990, making it the most successful hedge fund in history, according to ''CNBC''. Citadel LLC is a separate entity from the market maker Citadel Securities, although both were founded and are owned by Griffin. History Founding, 1990–2000 Griffin started his trading career out of his dorm room at Harvard University in 1987, trading convertible bonds. As a sophomore, he hooked a satellite dish to the roo ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Scratchpad Memory
Scratchpad memory (SPM), also known as scratchpad, scratchpad RAM or local store in computer terminology, is an internal memory, usually high-speed, used for temporary storage of calculations, data, and other work in progress. In reference to a microprocessor (or CPU), scratchpad refers to a special high-speed memory used to hold small items of data for rapid retrieval. It is similar to the usage and size of a scratchpad in life: a pad of paper for preliminary notes or sketches or writings, etc. When the scratchpad is a hidden portion of the main memory then it is sometimes referred to as ''bump storage''. In some systems it can be considered similar to the L1 cache in that it is the next closest memory to the ALU after the processor registers, with explicit instructions to move data to and from main memory, often using DMA-based data transfer. In contrast to a system that uses caches, a system with scratchpads is a system with non-uniform memory access (NUMA) latencies, be ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
TensorFlow
TensorFlow is a Library (computing), software library for machine learning and artificial intelligence. It can be used across a range of tasks, but is used mainly for Types of artificial neural networks#Training, training and Statistical inference, inference of Neural network (machine learning), neural networks. "It is machine learning software being used for various kinds of perceptual and language understanding tasks" – Jeffrey Dean, minute 0:47 / 2:17 from YouTube clip It is one of the most popular deep learning frameworks, alongside others such as PyTorch. It is free and open-source software released under the Apache License 2.0. It was developed by the Google Brain team for Google's internal use in research and production. The initial version was released under the Apache License 2.0 in 2015. Google released an updated version, TensorFlow 2.0, in September 2019. TensorFlow can be used in a wide variety of programming languages, including Python (programming language), P ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
