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Xeon Phi

Series of x86 manycore processors from Intel

Xeon Phi

Summary

Series of x86 manycore processors from Intel

FieldValue
nameXeon Phi
imageIntel Xeon Phi 5100.jpg
produced-start2010
produced-end2020
slowest1.053
fastest1.7
numcores32-72
l1cache32 KB per core
l2cache512 KB per core
size-from45 nm transistors
size-to14 nm transistors (tri-gate)
archx86-16 (except coprocessor form factor), IA-32, x86-64
extensionsAVX, AVX2, AVX-512
sock1LGA 3647
sock2PCI Express 3.0 x16
model1
soldbyInteldesignfirm=Intelmanuf1=Intelmemory1=Up to DDR4 115.4 GB/s with ECC supportamountmemory=Up to 384 GB and 16 GBcaption=Xeon Phi 5100 without heatsinkapplication=Supercomputers
High-performance computingcore1=Knights Ferrycore2=Knights Cornercore3=Knights Landingcore4=Knights Millcore5=Knights Hillmemory2=MCDRAM 400+ GB/smicroarch=Larrabee

| produced-start = 2010 | produced-end = 2020 | size-from = 45 nm transistors | size-to = 14 nm transistors (tri-gate) High-performance computing|core1=Knights Ferry|core2=Knights Corner|core3=Knights Landing|core4=Knights Mill|core5=Knights Hill|memory2=MCDRAM 400+ GB/s|microarch=Larrabee}}

Xeon Phi

Xeon Phi launched in 2010. Since it was originally based on an earlier GPU design (codenamed "Larrabee") by Intel that was cancelled in 2009, 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. These second-generation chips could be used as a standalone CPU, rather than just as an add-in card.

The [[Tianhe-2]] supercomputer uses Xeon Phi processors.

In June 2013, the Tianhe-2 supercomputer at the National Supercomputer Center in Guangzhou (NSCC-GZ) was announced as the world's fastest supercomputer (, it is ). It used Intel Xeon Phi coprocessors and Ivy Bridge-EP Xeon E5 v2 processors to achieve 33.86 petaFLOPS.

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 10 nm node.

History

Code nameProcessComments
Knights Ferry45 nmoffered as PCI Express card; derived from Larrabee project
Knights Corner22 nmderived from P54C; vector processing unit; first device to be announced as Xeon Phi; AVX-512-like encoding
Knights Landing14 nmderived from Silvermont/Airmont (Intel Atom); AVX-512
Knights Mill14 nmnearly identical to Knights Landing but optimized for deep learning
Knights Hill10 nmcancelled
A lineup of the Xeon Phi coprocessors. From the left; Knights Ferry, Knights Corner, Knights Landing.

Background

The Larrabee microarchitecture (in development since 2006) introduced very wide (512-bit) SIMD units to an x86 architecture based processor design, extended to a cache-coherent multiprocessor system connected via a ring bus to memory; each core was capable of four-way multithreading. Due to the design being intended for GPU as well as general purpose computing, the Larrabee chips also included specialised hardware for texture sampling.{{citation |archive-url= https://web.archive.org/web/20100528102342/http://www.anandtech.com/show/3738/intel-kills-larrabee-gpu-will-not-bring-a-discrete-graphics-product-to-market |url-status= dead |archive-date= 28 May 2010

Another contemporary Intel research project implementing x86 architecture on a many-multicore processor was the 'Single-chip Cloud Computer' (prototype introduced 2009), a design mimicking a cloud computing computer datacentre on a single chip with multiple independent cores: the prototype design included 48 cores per chip with hardware support for selective frequency and voltage control of cores to maximize energy efficiency, and incorporated a mesh network for inter-chip messaging. The design lacked cache-coherent cores and focused on principles that would allow the design to scale to many more cores.

The Teraflops Research Chip (prototype unveiled 2007) is an experimental 80-core chip with two floating-point units per core, implementing a 96-bit VLIW architecture instead of the x86 architecture. The project investigated intercore communication methods, per-chip power management, and achieved 1.01 TFLOPS at 3.16 GHz consuming 62 W of power.

{{anchor|Knights Ferry}}Knights Ferry

Intel's Many Integrated Core (MIC) prototype board, named Knights Ferry, incorporating a processor codenamed Aubrey Isle was announced 31 May 2010. The product was stated to be a derivative of the Larrabee project and other Intel research including the Single-chip Cloud Computer.

The development product was offered as a PCIe card with 32 in-order cores at up to 1.2 GHz with four threads per core, 2 GB GDDR5 memory, and 8 MB coherent L2 cache (256 KB per core with 32 KB L1 cache), and a power requirement of ≈300 W, built at a 45 nm process. In the Aubrey Isle core a 1,024-bit ring bus (512-bit bi-directional) connects processors to main memory. Single-board performance has exceeded 750 GFLOPS. The prototype boards only support single-precision floating-point instructions.

Initial developers included CERN, Korea Institute of Science and Technology Information (KISTI) and Leibniz Supercomputing Centre. Hardware vendors for prototype boards included IBM, SGI, HP, Dell and others.

Knights Corner

The Knights Corner product line is made at a 22 nm process size, using Intel's Tri-gate technology with more than 50 cores per chip, and is Intel's first many-cores commercial product.

In June 2011, SGI announced a partnership with Intel to use the MIC architecture in its high-performance computing products. In September 2011, it was announced that the Texas Advanced Computing Center (TACC) will use Knights Corner cards in their 10-petaFLOPS "Stampede" supercomputer, providing 8 petaFLOPS of compute power. According to "Stampede: A Comprehensive Petascale Computing Environment" the "second-generation Intel (Knights Landing) MICs will be added when they become available, increasing Stampede's aggregate peak performance to at least 15 PetaFLOPS."

On 15 November 2011, Intel showed an early silicon version of a Knights Corner processor.

On 5 June 2012, Intel released open source software and documentation regarding Knights Corner.

On 18 June 2012, Intel announced at the 2012 Hamburg International Supercomputing Conference that Xeon Phi will be the brand name used for all products based on their Many Integrated Core architecture. In June 2012, Cray announced it would be offering 22 nm 'Knight's Corner' chips (branded as 'Xeon Phi') as a co-processor in its 'Cascade' systems.

In June 2012, ScaleMP announced a virtualization update allowing Xeon Phi as a transparent processor extension, allowing legacy MMX/SSE code to run without code changes. An important component of the Intel Xeon Phi coprocessor's core is its vector processing unit (VPU). The VPU features a novel 512-bit SIMD instruction set, officially known as Intel Initial Many Core Instructions (Intel IMCI). Thus, the VPU can execute 16 single-precision (SP) or 8 double-precision (DP) operations per cycle. The VPU also supports Fused Multiply-Add (FMA) instructions and hence can execute 32 SP or 16 DP floating point operations per cycle. It also provides support for integers. The VPU also features an Extended Math Unit (EMU) that can execute operations such as reciprocal, square root, and logarithm, thereby allowing these operations to be executed in a vector fashion with high bandwidth. The EMU operates by calculating polynomial approximations of these functions.

On 12 November 2012, Intel announced two Xeon Phi coprocessor families using the 22 nm process size: the Xeon Phi 3100 and the Xeon Phi 5110P. The Xeon Phi 3100 will be capable of more than 1 teraFLOPS of double-precision floating-point instructions with 240 GB/s memory bandwidth at 300 W. The Xeon Phi 5110P will be capable of 1.01 teraFLOPS of double-precision floating-point instructions with 320 GB/s memory bandwidth at 225 W. The Xeon Phi 7120P will be capable of 1.2 teraFLOPS of double-precision floating-point instructions with 352 GB/s memory bandwidth at 300 W.

On 17 June 2013, the Tianhe-2 supercomputer was announced by TOP500 as the world's fastest. Tianhe-2 used Intel Ivy Bridge Xeon and Xeon Phi processors to achieve 33.86 petaFLOPS. It was the fastest on the list for two and a half years, lastly in November 2015.{{cite web

Design and programming

The cores of Knights Corner are based on a modified version of P54C design, used in the original Pentium. The basis of the Intel MIC architecture is to leverage x86 legacy by creating an x86-compatible multiprocessor architecture that can use existing parallelization software tools. Programming tools include OpenMP, OpenCL, Cilk/Cilk Plus and specialised versions of Intel's Fortran, C++ and math libraries.

Design elements inherited from the Larrabee project include x86 ISA, 4-way SMT per core, 512-bit SIMD units, 32 KB L1 instruction cache, 32 KB L1 data cache, coherent L2 cache (512 KB per core), and ultra-wide ring bus connecting processors and memory.

The Knights Corner 512-bit SIMD instructions share many intrinsic functions with AVX-512 extension . The instruction set documentation is available from Intel under the extension name of KNC.

NameSerial CodeCores
(Threads @ 4× core)
Clock (MHz)L2
cacheGDDR5 ECC memoryPeak DP
compute
(GFLOPS)TDP
(W)Cooling
systemForm factorReleasedBaseTurboQuantityChannelsBW
GB/s
Xeon Phi 3110XSE3110X61 (244)105330.5 MB6 GB122401028300Bare boardPCIe 2.0 x16 cardNovember, 2012
8 GB16320
Xeon Phi 3120ASC3120A57 (228)110028.5 MB6 GB122401003300Fan/heatsink17 June 2013
Xeon Phi 3120PSC3120P57 (228)110028.5 MB6 GB122401003300Passive heatsink17 June 2013
Xeon Phi 31S1PBC31S1P57 (228)110028.5 MB8 GB163201003270Passive heatsink17 June 2013
Xeon Phi 5110PSC5110P60 (240)105330.0 MB8 GB163201011225Passive heatsink12 Nov 2012
Xeon Phi 5120DSC5120D60 (240)1053-30.0 MB8 GB163521011245Bare boardSFF 230-pin card17 June 2013
BC5120D
Xeon Phi SE10PSE10P61 (244)1100-30.5 MB8 GB163521074300Passive heatsinkPCIe 2.0 x16 card12 Nov. 2012
Xeon Phi SE10XSE10X61 (244)110030.5 MB8 GB163521074300Bare board12 Nov. 2012
Xeon Phi 7110PSC7110P61 (244)1100125030.5 MB16 GB163521220300Passive heatsink???
Xeon Phi 7110XSC7110X61 (244)1250???30.5 MB16 GB163521220300Bare board???
Xeon Phi 7120ASC7120A61 (244)1238133330.5 MB16 GB163521208300Fan/heatsink6 April 2014
Xeon Phi 7120DSC7120D61 (244)1238133330.5 MB16 GB163521208270Bare boardSFF 230-pin cardMarch ??, 2014
Xeon Phi 7120PSC7120P61 (244)1238133330.5 MB16 GB163521208300Passive heatsinkPCIe 2.0 x16 card17 June 2013
Xeon Phi 7120XSC7120X61 (244)1238133330.5 MB16 GB163521208300Bare board17 June 2013

Knights Landing

Intel Xeon Phi Knights Landing [[engineering sample
delidded
Die shot

Code name for the second-generation MIC architecture product from Intel. Intel officially first revealed details of its second-generation Intel Xeon Phi products on 17 June 2013. Intel said that the next generation of Intel MIC Architecture-based products will be available in two forms, as a coprocessor or a host processor (CPU), and be manufactured using Intel's 14 nm process technology. Knights Landing products will include integrated on-package memory for significantly higher memory bandwidth.

Knights Landing contains up to 72 Airmont (Atom) cores with four threads per core, using LGA 3647 socket supporting up to 384 GB of "far" DDR4 2133 RAM and 8–16 GB of stacked "near" 3D MCDRAM, a version of the Hybrid Memory Cube. Each core has two 512-bit vector units and supports AVX-512 SIMD instructions, specifically the Intel AVX-512 Foundational Instructions (AVX-512F) with Intel AVX-512 Conflict Detection Instructions (AVX-512CD), Intel AVX-512 Exponential and Reciprocal Instructions (AVX-512ER), and Intel AVX-512 Prefetch Instructions (AVX-512PF). Support for IMCI has been removed in favor of AVX-512.

The National Energy Research Scientific Computing Center announced that Phase 2 of its newest supercomputing system "Cori" would use Knights Landing Xeon Phi coprocessors.

On 20 June 2016, Intel launched the Intel Xeon Phi product family x200 based on the Knights Landing architecture, stressing its applicability to not just traditional simulation workloads, but also to machine learning. The model lineup announced at launch included only Xeon Phi of bootable form-factor, but two versions of it: standard processors and processors with integrated Intel Omni-Path architecture fabric. The latter is denoted by the suffix F in the model number. Integrated fabric is expected to provide better latency at a lower cost than discrete high-performance network cards.

On 14 November 2016, the 48th list of TOP500 contained two systems using Knights Landing in the Top 10.

The PCIe based co-processor variant of Knight's Landing was never offered to the general market and was discontinued by August 2017. This included the 7220A, 7240P and 7220P coprocessor cards.

Intel announced they were discontinuing Knights Landing in summer 2018.

Models

All models can boost to their peak speeds, adding 200 MHz to their base frequency when running just one or two cores. When running from three to the maximum number of cores, the chips can only boost 100 MHz above the base frequency. All chips run high-AVX code at a frequency reduced by 200 MHz.

NameSerial CodeCores
(Threads @ 4× core)
Clock (MHz)L2
cacheMCDRAM memoryDDR4 memoryTDP
(W)Cooling
systemForm factorReleasedBaseTurboQuantityBWCapacityBW
Xeon Phi 7220ASC7220A68 (272)1200140034 MB16 GB400+ GB/s384 GB102.4 GB/s275Active heatsinkPCIe 3.0 x16 card???
Xeon Phi 7220PSC7220PPassive heatsink
Xeon Phi 7240PSC7240P13001500
Xeon Phi
7200 SeriessSpec
numberCores
(Threads)Clock (MHz)L2
cacheMCDRAM memoryDDR4 memoryPeak DP
computeTDP
(W)SocketRelease datePart numberBaseTurboQuantityBWCapacityBW
Xeon Phi 7210SR2ME (B0)64 (256)1300150032 MB16 GB400+ GB/s384 GB102.4 GB/s2662
GFLOPS215SVLCLGA364720 June 2016HJ8066702859300
SR2X4 (B0)
Xeon Phi 7210FSR2X5 (B0)230HJ8066702975000
Xeon Phi 7230SR2MF (B0)215HJ8066702859400
SR2X3 (B0)
Xeon Phi 7230FSR2X2 (B0)230HJ8066702269002
Xeon Phi 7250SR2MD (B0)68 (272)1400160034 MB3046
GFLOPS215HJ8066702859200
SR2X1 (B0)
Xeon Phi 7250FSR2X0 (B0)230HJ8066702268900
Xeon Phi 7290SR2WY (B0)72 (288)1500170036 MB3456
GFLOPS245HJ8066702974700
Xeon Phi 7290FSR2WZ (B0)260HJ8066702975200

Knights Mill

Knights Mill is Intel's codename for a Xeon Phi product specialized in deep learning, initially released in December 2017. Nearly identical in specifications to Knights Landing, Knights Mill includes optimizations for better utilization of AVX-512 instructions. Single-precision and variable-precision floating-point performance increased, at the expense of double-precision floating-point performance.

Models

Xeon Phi
72x5 SeriessSpec
numberCores
(Threads)Clock (MHz)L2
cacheMCDRAM memoryDDR4 memoryPeak DP
computeTDP
(W)SocketRelease datePart numberBaseTurboQuantityBWCapacityBW
Xeon Phi 7235SR3VF (A0)64 (256)1300140032 MB16 GB400+ GB/s384 GB102.4 GB/s250SVLCLGA3647Q4 2017HJ8068303823900
Xeon Phi 7255SR3VG (A0)68 (272)1100120034 MB115.2 GB/s215HJ8068303826300
Xeon Phi 7285SR3VE (A0)68 (272)1300140034 MB115.2 GB/s250HJ8068303823800
Xeon Phi 7295SR3VD (A0)72 (288)1500160036 MB115.2 GB/s320HJ8068303823700

Knights Hill

Knights Hill was the codename for the third-generation MIC architecture, for which Intel announced the first details at SC14. It was to be manufactured in a 10 nm process.

Knights Hill was expected to be used in the United States Department of Energy Aurora supercomputer, to be deployed at Argonne National Laboratory. However, Aurora was delayed in favor of using an "advanced architecture" with a focus on machine learning.

In 2017, Intel announced that Knights Hill had been canceled in favor of another architecture built from the ground up to enable Exascale computing in the future. This new architecture was expected for 2020–2021; however, this was also cancelled due to the discontinuation of the Xeon Phi.

Programming

One performance and programmability study reported that achieving high performance with Xeon Phi still needs help from programmers and that merely relying on compilers with traditional programming models is insufficient. Other studies in various domains, such as life sciences and deep learning, have shown that exploiting the thread- and SIMD-parallelism of Xeon Phi achieves significant speed-ups.

Competitors

  • Nvidia Tesla, a direct competitor in the HPC market
  • AMD Radeon Pro and AMD Radeon Instinct direct competitors in the HPC market

References

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