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Computer Architecture Articles
Page 26 of 26
What are the operations of ILP-Processors?
There are two types of operations of ILP-Processors such as Pipelined Processors and VLIW and Superscalar Processors. Pipelined Processors work like an assembly line, both VLIW and Superscalar processors operate basically in parallel, making use of several concurrently working EUs as shown in the figure −In describing the principle of operation of pipelined processors, for simplicity, it can confine itself to a straightforward pipelined processor which executes integer, RISC-like, register-register instructions. Pipelines like these operate along the following lines −Instruction processing is subdivided into several successive subtasks: instruction Fetch (F), Decode (D), Execute (E), and writeback of the result (W), ...
Read MoreEvolution of ILP Processors in Computer Architecture
The evolution of Von Neumann processors can be attributed to two areas of development improvement in technology, marked by increasing clock rates and the functional evolution of processors. Functional evolution has been achieved primarily by increasing the degree of parallelism of the internal operations, the issues, and the execution of instructions.This occurred in three consecutive evolution phases as the first phase is represented by traditional von Neumann processors, which are characterized by sequential issues and sequential execution of instructions as shown in the figure.The search for greater implementation gave advance to the introduction of parallel instruction execution. Parallel execution was ...
Read MoreWhat are different methods of parallelism in Parallel Computer Architecture?
There are two methods of exploiting parallelism in parallel computer architecture are as follows −PipeliningIn pipelining, several functional units are working in sequence to implement a single computation. These functional units form an assembly line or pipeline. Each functional unit describes a specific phase of the computation and each computation goes through the entire pipeline.If there is only a single computation to be executed, the pipeline cannot extract any parallelism. But, when the same computation is to be implemented multiple times, these computations can be overlapped through the functional units.Assume that the pipeline consists of N functional units (stages) and ...
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