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CDNA 3
CDNA (Compute DNA) is a compute-centered graphics processing unit (GPU) microarchitecture designed by AMD for datacenters. Mostly used in the AMD Instinct line of data center graphics cards, CDNA is a successor to the Graphics Core Next (GCN) microarchitecture; the other successor being RDNA (Radeon DNA), a consumer graphics focused microarchitecture. The first generation of CDNA was announced on March 5th, 2020, and was featured in the AMD Instinct MI100, launched November 16th, 2020. This is CDNA 1's only produced product, manufactured on TSMC's N7 FinFET process. The second iteration of the CDNA line implemented a multi-chip module (MCM) approach, differing from its predecessor's monolithic approach. Featured in the AMD Instinct MI250X and MI250, this MCM design used an elevated fanout bridge (EFB) to connect the dies. These two products were announced November 8th, 2021, and launched November 11th. The CDNA 2 line includes an additional latecomer using a monolithic desi ... [...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] |
Render Output Unit
In computer graphics, the render output unit or raster operations pipeline (ROP) is a hardware component in modern graphics processing units (GPUs) and one of the final steps in the rendering process of modern graphics cards. The pixel pipelines take pixel (each pixel is a dimensionless point) and texel information and process it, via specific matrix and vector operations, into a final pixel or depth value; this process is called rasterization. Thus, ROPs control antialiasing, when more than one sample is merged into one pixel. The ROPs perform the transactions between the relevant buffers in the local memory – this includes writing or reading values, as well as blending them together. Dedicated antialiasing hardware used to perform hardware-based antialiasing methods like MSAA is contained in ROPs. All data rendered has to travel through the ROP in order to be written to the framebuffer, from there it can be transmitted to the display. Therefore, the ROP is where the GPU ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
High Bandwidth Memory
High Bandwidth Memory (HBM) is a computer memory interface for 3D-stacked synchronous dynamic random-access memory (SDRAM) initially from Samsung, AMD and SK Hynix. It is used in conjunction with high-performance graphics accelerators, network devices, high-performance datacenter AI ASICs, as on-package cache in CPUs and on-package RAM in upcoming CPUs, and FPGAs and in some supercomputers (such as the NEC SX-Aurora TSUBASA and Fujitsu A64FX). The first HBM memory chip was produced by SK Hynix in 2013, and the first devices to use HBM were the AMD Fiji GPUs in 2015. HBM was adopted by JEDEC as an industry standard in October 2013.High Bandwidth Memory (HBM) DRAM (JESD235) JEDEC, October 2013 The second generation, HBM2, was accepted by JEDEC in January 2016. [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Double-precision Floating-point Format
Double-precision floating-point format (sometimes called FP64 or float64) is a floating-point number format, usually occupying 64 bits in computer memory; it represents a wide range of numeric values by using a floating radix point. Double precision may be chosen when the range or precision of single precision would be insufficient. In the IEEE 754 standard, the 64-bit base-2 format is officially referred to as binary64; it was called double in IEEE 754-1985. IEEE 754 specifies additional floating-point formats, including 32-bit base-2 ''single precision'' and, more recently, base-10 representations (decimal floating point). One of the first programming languages to provide floating-point data types was Fortran. Before the widespread adoption of IEEE 754-1985, the representation and properties of floating-point data types depended on the computer manufacturer and computer model, and upon decisions made by programming-language implementers. E.g., GW-BASIC's double-precision ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Infinity Fabric
HyperTransport (HT), formerly known as Lightning Data Transport, is a technology for interconnection of computer processors. It is a bidirectional serial/ parallel high-bandwidth, low- latency point-to-point link that was introduced on April 2, 2001. The HyperTransport Consortium is in charge of promoting and developing HyperTransport technology. HyperTransport is best known as the system bus architecture of AMD central processing units (CPUs) from Athlon 64 through AMD FX and the associated motherboard chipsets. HyperTransport has also been used by IBM and Apple for the Power Mac G5 machines, as well as a number of modern MIPS systems. The current specification HTX 3.1 remained competitive for 2014 high-speed (2666 and 3200 MT/s or about 10.4 GB/s and 12.8 GB/s) DDR4 RAM and slower (around 1 GB/similar to high end Solid-state drive#Standard card form factors, PCIe SSDs ULLtraDIMM flash RAM) technology—a wider range of RAM speeds on a common CPU ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Aldebaran
Aldebaran () is a star in the zodiac constellation of Taurus. It has the Bayer designation α Tauri, which is Latinized to Alpha Tauri and abbreviated Alpha Tau or α Tau. Aldebaran varies in brightness from an apparent visual magnitude of 0.75 down to 0.95, making it the brightest star in the constellation, as well as (typically) the fourteenth-brightest star in the night sky. It is at a distance of approximately 67 light-years. The star lies along the line of sight to the nearby Hyades cluster. Aldebaran is a red giant, meaning that it is cooler than the Sun with a surface temperature of , but its radius is about 45 times the Sun's, so it is over 400 times as luminous. As a giant star, it has moved off the main sequence on the Hertzsprung–Russell diagram after depleting its supply of hydrogen in the core. The star spins slowly and takes 520 days to complete a rotation. Together with the star Alpha Tauri B (Alderbaran B), it makes a star system ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
CDNA 3
CDNA (Compute DNA) is a compute-centered graphics processing unit (GPU) microarchitecture designed by AMD for datacenters. Mostly used in the AMD Instinct line of data center graphics cards, CDNA is a successor to the Graphics Core Next (GCN) microarchitecture; the other successor being RDNA (Radeon DNA), a consumer graphics focused microarchitecture. The first generation of CDNA was announced on March 5th, 2020, and was featured in the AMD Instinct MI100, launched November 16th, 2020. This is CDNA 1's only produced product, manufactured on TSMC's N7 FinFET process. The second iteration of the CDNA line implemented a multi-chip module (MCM) approach, differing from its predecessor's monolithic approach. Featured in the AMD Instinct MI250X and MI250, this MCM design used an elevated fanout bridge (EFB) to connect the dies. These two products were announced November 8th, 2021, and launched November 11th. The CDNA 2 line includes an additional latecomer using a monolithic desi ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Bfloat16 Floating-point Format
The bfloat16 (brain floating point) floating-point format is a computer number format occupying 16 bits in computer memory; it represents a wide dynamic range of numeric values by using a floating radix point. This format is a shortened (16-bit) version of the 32-bit IEEE 754 single-precision floating-point format (binary32) with the intent of accelerating machine learning and near-sensor computing. It preserves the approximate dynamic range of 32-bit floating-point numbers by retaining 8 exponent bits, but supports only an 8-bit precision rather than the 24-bit significand of the binary32 format. More so than single-precision 32-bit floating-point numbers, bfloat16 numbers are unsuitable for integer calculations, but this is not their intended use. Bfloat16 is used to reduce the storage requirements and increase the calculation speed of machine learning algorithms. The bfloat16 format was developed by Google Brain, an artificial intelligence research group at Google. It is ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Radeon RX Vega Series
The Radeon RX Vega series is a series of graphics processors developed by AMD. These GPUs use the Graphics Core Next (GCN) 5th generation architecture, codenamed Vega, and are manufactured on 14 nm FinFET technology, developed by Samsung Electronics and licensed to GlobalFoundries. The series consists of desktop graphics cards and APUs aimed at desktops, mobile devices, and embedded applications. The lineup was released on 14 August 2017. It included the RX Vega 56 and the RX Vega 64, priced at $399 and $499 respectively. These were followed by two mobile APUs, the Ryzen 2500U and Ryzen 2700U, in October 2017. February 2018 saw the release of two desktop APUs, the Ryzen 3 2200G and the Ryzen 5 2400G, and the Ryzen Embedded V1000 line of APUs. In September 2018 AMD announced several Vega APUs in their Athlon line of products. Later in January 2019, the Radeon VII was announced based on the 7nm FinFET node manufactured by TSMC. History The Vega microarchitecture was AMD's hi ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Volta (microarchitecture)
Volta is the codename, but not the trademark, for a graphics processing unit, GPU microarchitecture developed by Nvidia, succeeding Pascal (microarchitecture), Pascal. It was first announced on a roadmap in March 2013, although the first product was not announced until May 2017. The architecture is named after 18th–19th century Italian chemist and physicist Alessandro Volta. It was Nvidia's first chip to feature Tensor Cores, specially designed cores that have superior deep learning performance over regular CUDA cores. The architecture is produced with TSMC's 14 nm process, 12 nm FinFET process. The Ampere (microarchitecture), Ampere microarchitecture is the successor to Volta. The first graphics card to use it was the datacenter Nvidia Tesla, Tesla V100, e.g. as part of the Nvidia DGX-1 system. It has also been used in the Quadro GV100 and Titan V. There were no mainstream GeForce graphics cards based on Volta. After two USPTO proceedings, on July 3, 2023 Nvidia lost the V ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Nvidia
Nvidia Corporation ( ) is an American multinational corporation and technology company headquartered in Santa Clara, California, and incorporated in Delaware. Founded in 1993 by Jensen Huang (president and CEO), Chris Malachowsky, and Curtis Priem, it designs and supplies graphics processing units (GPUs), application programming interfaces (APIs) for data science and high-performance computing, and system on a chip units (SoCs) for mobile computing and the automotive market. Nvidia is also a leading supplier of artificial intelligence (AI) hardware and software. Nvidia outsources the manufacturing of the hardware it designs. Nvidia's professional line of GPUs are used for edge-to-cloud computing and in supercomputers and workstations for applications in fields such as architecture, engineering and construction, media and entertainment, automotive, scientific research, and manufacturing design. Its GeForce line of GPUs are aimed at the consumer market and are used in ap ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
