General information | |
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Launched | 2010 |
Discontinued | 2020[1] |
Marketed by | Intel |
Designed by | Intel |
Common manufacturer |
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Performance | |
Max. CPU clock rate | 1.053 GHz to 1.7 GHz |
Cache | |
L1 cache | 32 KB per core |
L2 cache | 512 KB per core |
Architecture and classification | |
Application | Supercomputers High-performance computing |
Technology node | 45 nm transistors to 14 nm transistors (tri-gate) |
Microarchitecture | Larrabee |
Instruction set | x86-16 (except coprocessor form factor), IA-32, x86-64[2] |
Extensions | |
Physical specifications | |
Cores |
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Memory (RAM) |
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Sockets | |
Products, models, variants | |
Core names |
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Model |
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Xeon Phi[3] is a discontinued series of x86 manycore processors designed and made by Intel. It was intended for use in supercomputers, servers, and high-end workstations. Its architecture allowed use of standard programming languages and application programming interfaces (APIs) such as OpenMP.[4][5]
Xeon Phi launched in 2010. Since it was originally based on an earlier GPU design (codenamed "Larrabee") by Intel[6] that was cancelled in 2009,[7] it shared application areas with GPUs. The main difference between Xeon Phi and a GPGPU like Nvidia Tesla was that Xeon Phi, with an x86-compatible core, could, with less modification, run software that was originally targeted to a standard x86 CPU.
Initially in the form of PCI Express-based add-on cards, a second-generation product, codenamed Knights Landing, was announced in June 2013.[8] These second-generation chips could be used as a standalone CPU, rather than just as an add-in card.
In June 2013, the Tianhe-2 supercomputer at the National Supercomputer Center in Guangzhou (NSCC-GZ) was announced[9] as the world's fastest supercomputer (as of June 2023[update], it is No. 10[10]). It used Intel Xeon Phi coprocessors and Ivy Bridge-EP Xeon E5 v2 processors to achieve 33.86 petaFLOPS.[11]
The Xeon Phi product line directly competed with Nvidia's Tesla and AMD Radeon Instinct lines of deep learning and GPGPU cards. It was discontinued due to a lack of demand and Intel's problems with its 10nm node.[12]
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