High-performance superscalar-based computer system with out-of-order instruction execution and concurrent results distribution

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United States of America Patent

PATENT NO 7555632
APP PUB NO 20060149925A1
SERIAL NO

11316814

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Abstract

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The high-performance, RISC core based microprocessor architecture includes an instruction fetch unit for fetching instruction sets from an instruction store and an execution unit that implements the concurrent execution of a plurality of instructions through a parallel array of functional units. The fetch unit generally maintains a predetermined number of instructions in an instruction buffer. The execution unit includes an instruction selection unit, coupled to the instruction buffer, for selecting instructions for execution, and a plurality of functional units for performing instruction specified functional operations. A unified instruction scheduler, within the instruction selection unit, initiates the processing of instructions through the functional units when instructions are determined to be available for execution and for which at least one of the functional units implementing a necessary computational function is available. Unified scheduling is performed across multiple execution data paths, where each execution data path, and corresponding functional units, is generally optimized for the type of computational function that is to be performed on the data: integer, floating point, and boolean. The number, type and computational specifics of the functional units provided in each data path, and as between data paths, are mutually independent.

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Patent Owner(s)

Patent OwnerAddress
SAMSUNG ELECTRONICS CO LTDSUWON-SI GYEONGGI-DO 16677

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Inventor(s)

Inventor Name Address # of filed Patents Total Citations
Garg, Sanjiv Freemont, US 74 2236
Hagiwara, Yasuaki Santa Clara, US 66 1944
Lau, Te-Li Palo Alto, US 43 1729
Lentz, Derek J Los Gatos, US 72 2697
Miyayama, Yoshiyuki Santa Clara, US 51 1730
Nguyen, Le Trong Monte Sereno, US 85 3254
Trang, Quang H San Jose, US 30 1054
Wang, Johannes Redwood City, US 73 2404
Wang, Sze-Shun San Diego, US 29 997

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