METHOD AND SYSTEM FOR MANAGING HARDWARE RESOURCES TO IMPLEMENT SYSTEM FUNCTIONS USING ANADAPTIVE COMPUTING ARCHITECTURE

Patent №

US 7,752,419

Granted

2010-07-06

Filed 2001

Owner

QUICKSILVER TECHNOLOGY, INC.

Lab

AI components

2

ml · hardware

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

10015530

The present invention concerns a new category of integrated circuitry and a new methodology for adaptive or reconfigurable computing. The exemplary IC embodiment includes a plurality of heterogeneous computational elements coupled to an interconnection network. The plurality of heterogeneous computational elements include corresponding computational elements having fixed and differing architectures, such as fixed architectures for different functions such as memory, addition, multiplication, complex multiplication, subtraction, configuration, reconfiguration, control, input, output, and field programmability. In response to configuration information, the interconnection network is operative in real-time to configure and reconfigure the plurality of heterogeneous computational elements for a plurality of different functional modes, including linear algorithmic operations, non-linear algorithmic operations, finite state machine operations, memory operations, and bit-level manipulations. The various fixed architectures are selected to comparatively minimize power consumption and increase performance of the adaptive computing integrated circuit, particularly suitable for mobile, hand-held or other battery-powered computing applications. In an exemplary embodiment, some or all of the computational elements are alternately configured to implement two or more functions.

Machine learningAI hardwareG06F 15/177G06F 15/7867Y02D 10/00

AI classification

AI hardware1.00
Machine learning0.93
Vision0.02
Planning0.00
Natural language0.00
Speech0.00
Evolutionary computation0.00
Knowledge representation0.00

Ownership

QUICKSILVER TECHNOLOGY, INC.

assignment · 128770048

Assignors

PLUNKETT, ROBERT T., HEIDARI, GHOBAD, MASTER, PAUL L.

On an employer assignment, the assignors are typically the inventors.

From the same owner

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