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POWER9 is a family of superscalar, multithreading, multi-core microprocessors produced by IBM, based on the Power ISA.It was announced in August 2016. [2] The POWER9-based processors are being manufactured using a 14 nm FinFET process, [3] in 12- and 24-core versions, for scale out and scale up applications, [3] and possibly other variations, since the POWER9 architecture is open for licensing ...
Some Xeon Phi processors support four-way hyper-threading, effectively quadrupling the number of threads. [1] Before the Coffee Lake architecture, most Xeon and all desktop and mobile Core i3 and i7 supported hyper-threading while only dual-core mobile i5's supported it.
Pairs Intel Skylake Xeon CPU cores with specially-designed I/O tracing and analysis chips to help provide improved security. Made as a multi-chip module, mainly for use in Chinese servers. [ 28 ] [ 29 ] [ 30 ]
Intel Tera-Scale is a research program by Intel that focuses on development in Intel processors and platforms that utilize the inherent parallelism of emerging visual-computing applications. Such applications require teraFLOPS of parallel computing performance to process terabytes of data quickly. [ 1 ]
Shakti plans a family of processors as part of its road-map, catering to different segments of the market. They have been broadly categorized into "Base Processors", "Multi-Core Processors" and "Experimental Processors". The E and C-classes core are for Internet of things (IoT), embedded system, and desktop computer markets.
Central processing units (CPUs) are the primary processors in most computers. They are designed to handle a wide variety of general computing tasks rather than only a few domain-specific tasks. If based on the von Neumann architecture, they contain at least a control unit (CU), an arithmetic logic unit (ALU), and processor registers.
Cell, a shorthand for Cell Broadband Engine Architecture, [a] is a 64-bit multi-core microprocessor and microarchitecture that combines a general-purpose PowerPC core of modest performance with streamlined coprocessing elements [2] which greatly accelerate multimedia and vector processing applications, as well as many other forms of dedicated computation.
In computer science, in-memory processing, also called compute-in-memory (CIM), or processing-in-memory (PIM), is a computer architecture in which data operations are available directly on the data memory, rather than having to be transferred to CPU registers first. [1]