The broader category ofmulti-core processors, by contrast, are usually designed to efficiently runboth paralleland serial code, and therefore place more emphasis on high single-thread performance (e.g. devoting more silicon toout-of-order execution, deeperpipelines, moresuperscalar execution units, and larger, more general caches), andshared memory. These techniques devote runtime resources toward figuring out implicit parallelism in a single thread. They are used in systems where they have evolved continuously (with backward compatibility) from single core processors. They usually have a 'few' cores (e.g. 2, 4, 8) and may be complemented by a manycoreaccelerator (such as aGPU) in aheterogeneous system.
GPUs may be considered a form of manycore processor having multipleshader processing units, and only being suitable for highly parallel code (high throughput, but extremely poor single thread performance).
SW52020, an improved 520-core[8][9] variant of SW26010, with 512-bit SIMD (also adding support for half-precision), used in a prototype, meant for an exascale system (and in the future 10 exascale system), and according to datacenterdynamics China is rumored to already have two separate exascale systems secretly[citation needed]
Eyeriss, a manycore processor designed for running convolutional neural nets for embedded vision applications[10]
Quite a fewsupercomputers have over 5 million CPU cores. When there are also coprocessors, e.g. GPUs used with, then those cores are not listed in the core-count, then quite a few more computers would hit those targets.
Sunway TaihuLight, a massively parallel (10 million CPU cores) Chinesesupercomputer, once one of the fastest supercomputers in the world, using a custom manycore architecture.[citation needed] As of November 2018, it was the world's third fastest supercomputer (as ranked by theTOP500 list), obtaining its performance from 40,960SW26010 manycore processors, each containing 256 cores.
^"cell architecture"."The Cell architecture is like nothing we have ever seen in commodity microprocessors, it is closer in design to multiprocessor vector supercomputers"
^Barker, J; Bowden, J (2013). "Manycore Parallelism through OpenMP".OpenMP in the Era of Low Power Devices and Accelerators. IWOMP. Lecture Notes in Computer Science, vol 8122. Springer.doi:10.1007/978-3-642-40698-0_4.
