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Intel computer systems (and others) use this technology to reach effective FSB speeds of 1600 MT/s (million transfers per second), even though the FSB clock speed is only 400 MHz (cycles per second). A phase-locked loop in the CPU then multiplies the FSB clock by a factor in order to get the CPU speed.
In computer science, communicating sequential processes (CSP) is a formal language for describing patterns of interaction in concurrent systems. [1] It is a member of the family of mathematical theories of concurrency known as process algebras, or process calculi , based on message passing via channels .
Communicating sequential processes (CSP), developed by Tony Hoare, is a formal language that arose at a similar time to CCS.; The Algebra of Communicating Processes (ACP) was developed by Jan Bergstra and Jan Willem Klop in 1982, and uses an axiomatic approach (in the style of Universal algebra) to reason about a similar class of processes as CCS.
A system for communications where a carrier signal is impressed on power line wiring. carrier wave A radio wave that can be modulated (changed systematically) to carry information to a receiver. Category 3 cable A performance standard for unshielded twisted pair cables for analog voice and low speed data circuits within a building. Category 5e ...
The main assets of flow injection are the well defined concentration gradient that forms when an analyte is injected into the reagent stream (which offers an infinite number of well-reproduced analyte/reagent ratios) and the exact timing of fluidic manipulations (which provide exquisite control over the reaction conditions). [4]
These operators can be roughly categorized as providing a basic process algebra, concurrency, and communication. Choice and sequencing – the most fundamental of algebraic operators are the alternative operator ( + {\displaystyle +} ), which provides a choice between actions, and the sequencing operator ( ⋅ {\displaystyle \cdot } ), which ...
In computer science, stream processing (also known as event stream processing, data stream processing, or distributed stream processing) is a programming paradigm which views streams, or sequences of events in time, as the central input and output objects of computation.
The π-calculus belongs to the family of process calculi, mathematical formalisms for describing and analyzing properties of concurrent computation.In fact, the π-calculus, like the λ-calculus, is so minimal that it does not contain primitives such as numbers, booleans, data structures, variables, functions, or even the usual control flow statements (such as if-then-else, while).