The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.
The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.
Patent No.:
Date of Patent:
Nov. 07, 2000
Filed:
Apr. 26, 1999
Thomas A Dye, Austin, TX (US);
Interactive Silicon, Inc., Austin, TX (US);
Abstract
A flash memory controller and/or embedded memory controller including MemoryF/X Technology that uses data compression and decompression for improved system cost and performance. The Compression Enhanced Flash Memory Controller (CEFMC) of the present invention preferably uses parallel lossless compression and decompression engines embedded into the flash memory controller unit for improved memory density and data bandwidth. In addition, the invention includes a Compression Enhanced Memory Controller (CEMC) where the parallel compression and decompression engines are introduced into the memory controller of the microprocessor unit. The Compression Enhanced Memory Controller (CEMC) invention improves system wide memory density and data bandwidth. The disclosure also indicates preferred methods for specific applications such as usage of the invention for solid-state disks, embedded memory and Systems on Chip (SOC) environments. The disclosure also indicates a novel memory control method for the execute in place (XIP) architectural model. The integrated parallel data compression and decompression capabilities of the CEFMC and CEMC inventions remove system bottle-necks and increase performance matching the data access speeds of the memory subsystem to that of the microprocessor. Thus, the invention allows lower cost systems due to smaller data storage, reduced bandwidth requirements, reduced power and noise.