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ARM Neoverse
The ARM Neoverse is a group of 64-bit ARM processor cores licensed by Arm (company), Arm Holdings. The cores are intended for datacenter, edge computing, and high-performance computing use. The group consists of ARM Neoverse V-Series, ARM Neoverse N-Series, and ARM Neoverse E-Series. Neoverse V-Series The Neoverse V-Series processors are intended for high-performance computing. Neoverse V1 Neoverse V1 (code named ''Zeus'') is derived from the ARM Cortex-X1, Cortex-X1 and implements the ARMv8.4-A instruction set and some part of ARMv8.6-A. It was officially announced by Arm on September 22, 2020. It is said to be initially realized with a 7 nm process from TSMC. One of the changes from the X1 is that it supports SVE 2x256-bit. According to ''The Next Platform'', the AWS_Graviton#Graviton3, AWS Graviton3 is based on the Neoverse V1. Neoverse V2 Neoverse V2 (code named ''Demeter'') is derived from the ARM Cortex-X3 and implements the ARMv9.0-A instruction set. It was officiall ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Arm (company)
Arm Holdings plc (formerly an acronym for Advanced RISC In electronics and computer science, a reduced instruction set computer (RISC) is a computer architecture designed to simplify the individual instructions given to the computer to accomplish tasks. Compared to the instructions given to a comp ... Machines and originally Acorn Computers, Acorn RISC Machine) is a British semiconductor and computer software, 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 (company), Keil brands, and provides platform (computing), 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 majority owned by Japanese conglomerate SoftBank Group. W ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Microarchitecture
In electronics, computer science and computer engineering, microarchitecture, also called computer organization and sometimes abbreviated as μarch or uarch, is the way a given instruction set architecture (ISA) is implemented in a particular processor. A given ISA may be implemented with different microarchitectures; implementations may vary due to different goals of a given design or due to shifts in technology. Computer architecture is the combination of microarchitecture and instruction set architecture. Relation to instruction set architecture The ISA is roughly the same as the programming model of a processor as seen by an assembly language programmer or compiler writer. The ISA includes the instructions, execution model, processor registers, address and data formats among other things. The microarchitecture includes the constituent parts of the processor and how these interconnect and interoperate to implement the ISA. The microarchitecture of a machine is usu ... [...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] |
Single-precision Floating-point Format
Single-precision floating-point format (sometimes called FP32 or float32) is a computer number format, usually occupying 32 bits in computer memory; it represents a wide dynamic range of numeric values by using a floating radix point. A floating-point variable can represent a wider range of numbers than a fixed-point variable of the same bit width at the cost of precision. A signed 32-bit integer variable has a maximum value of 231 − 1 = 2,147,483,647, whereas an IEEE 754 32-bit base-2 floating-point variable has a maximum value of (2 − 2−23) × 2127 ≈ 3.4028235 × 1038. All integers with seven or fewer decimal digits, and any 2''n'' for a whole number −149 ≤ ''n'' ≤ 127, can be converted exactly into an IEEE 754 single-precision floating-point value. In the IEEE 754 standard, the 32-bit base-2 format is officially referred to as binary32; it was called single in IEEE 754-1985. IEEE 754 specifies additional floating-point types, such as 64-bit base-2 ''doubl ... [...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] |
Simultaneous Multithreading
Simultaneous multithreading (SMT) is a technique for improving the overall efficiency of superscalar CPUs with hardware multithreading. SMT permits multiple independent threads of execution to better use the resources provided by modern processor architectures. Details The term ''multithreading'' is ambiguous, because not only can multiple threads be executed simultaneously on one CPU core, but also multiple tasks (with different page tables, different task state segments, different protection rings, different I/O permissions, etc.). Although running on the same core, they are completely separated from each other. Multithreading is similar in concept to preemptive multitasking but is implemented at the thread level of execution in modern superscalar processors. Simultaneous multithreading (SMT) is one of the two main implementations of multithreading, the other form being temporal multithreading (also known as super-threading). In temporal multithreading, only one thre ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
ARM Cortex-A710
The ARM Cortex-A710 is the successor to the ARM Cortex-A78, being the First-Generation Armv9 "big" Cortex CPU. It is the companion to the ARM Cortex-A510 "LITTLE" efficiency core. It was designed by ARM Ltd.'s Austin centre. It is the fourth and last iteration of Arm's Austin core family. It forms part of Arm's Total Compute Solutions 2021 (TCS21) along with Arm's Cortex-X2, Cortex-A510, Mali-G710 and CoreLink CI-700/NI-700. Architecture changes in comparison with ARM Cortex-A78 The processor implements the following changes: * Rename / Dispatch width: 5 (decreased from 6). * 10-cycle pipeline (decreased from 11). * One of only two ARMv9 cores to support EL0 AArch32, along with the ARM Cortex-A510. Improvements: * 30% more power efficient than Cortex-A78. * 10% uplift in performance compared to Cortex-A78 *2x ML uplift Architecture comparison :;"big" core Usage * Qualcomm Snapdragon 7 Gen 1, Snapdragon 7+ Gen 2, Snapdragon 8/8+ Gen 1 * MediaTek Dimensity 9 ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Ampere Computing
Ampere Computing LLC is an American Fabless manufacturing, fabless semiconductor industry, semiconductor company based in Santa Clara County, California, Santa Clara, California that develops processors for servers operating in large scale environments. It was founded in 2017 by Renée James. Ampere has offices in: Portland, Oregon; Taipei, Taipei, Taiwan; Raleigh, North Carolina; Bangalore, Bangalore, India; Warsaw, Warsaw, Poland; and Ho Chi Minh City, Ho Chi Minh City, Vietnam. History Ampere Computing was founded in the Fall of 2017 by Renée James, ex-President of Intel, with funding from The Carlyle Group. James acquired a team from MACOM Technology Solutions (formerly AppliedMicro) in addition to several industry hires to start the company. Ampere Computing is an ARM architecture family, ARM architecture licensee and develops its own server microprocessors. Ampere fabricates its products at TSMC. In April 2019, Ampere announced its second major investment round, includi ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
D-cache
This glossary of computer hardware terms is a list of definitions of terms and concepts related to computer hardware, i.e. the physical and structural components of computers, architectural issues, and peripheral devices. A B C D E F G H I J K L M N O P R S T U V W Z See also *List of computer term etymologies * Glossary of backup terms *Glossary of computer graphics This is a glossary of terms relating to computer graphics. For more general ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
ARM Cortex-A76
The ARM Cortex-A76 is a central processing unit (CPU) core implementing the 64-bit ARMv8.2-A architecture, designed by Arm Holdings' design center in Austin, Texas. Compared to its predecessor, the Cortex-A75, ARM claimed performance improvements of up to 25% in integer operations and 35% in floating-point operations. Design The Cortex-A76 is a successor to both the Cortex-A73 and Cortex-A75, though it is based on an entirely new microarchitecture. It features a 4-wide decode, out-of-order, superscalar pipeline. The frontend can fetch and decode four instructions per cycle and dispatch up to four macro-operations and eight micro-operations per cycle. The out-of-order execution window includes 128 entries. The backend includes eight execution ports, with a pipeline depth of 13 stages and execution latencies of 11 stages. The Cortex-A76 supports unprivileged 32-bit applications, but privileged software, such as operating systems and kernels, must use the 64-bit ARMv8-A instruc ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Data Center
A data center is a building, a dedicated space within a building, or a group of buildings used to house computer systems and associated components, such as telecommunications and storage systems. Since IT operations are crucial for business continuity, it generally includes redundant or backup components and infrastructure for power supply, data communication connections, environmental controls (e.g., air conditioning, fire suppression), and various security devices. A large data center is an industrial-scale operation using as much electricity as a medium town. Estimated global data center electricity consumption in 2022 was 240–340 TWh, or roughly 1–1.3% of global electricity demand. This excludes energy used for cryptocurrency mining, which was estimated to be around 110 TWh in 2022, or another 0.4% of global electricity demand. The IEA projects that data center electric use could double between 2022 and 2026. High demand for electricity from data centers, incl ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
