17390215. DATA RE-ENCODING FOR ENERGY-EFFICIENT DATA TRANSFER IN A COMPUTING DEVICE simplified abstract (QUALCOMM Incorporated)

DATA RE-ENCODING FOR ENERGY-EFFICIENT DATA TRANSFER IN A COMPUTING DEVICE

Organization Name

QUALCOMM Incorporated

Inventor(s)

ENGIN Ipek of SAN DIEGO CA (US)

Bohuslav Rychlik of SAN DIEGO CA (US)

George Patsilaras of SAN DIEGO CA (US)

Prajakt Kulkarni of SAN DIEGO CA (US)

Can Hankendi of SAN DIEGO CA (US)

Fahad Ali of SAN DIEGO CA (US)

Jeffrey Gemar of SAN DIEGO CA (US)

Matthew Severson of AUSTIN TX (US)

DATA RE-ENCODING FOR ENERGY-EFFICIENT DATA TRANSFER IN A COMPUTING DEVICE - A simplified explanation of the abstract

This abstract first appeared for US patent application 17390215 titled 'DATA RE-ENCODING FOR ENERGY-EFFICIENT DATA TRANSFER IN A COMPUTING DEVICE

Simplified Explanation

The patent application proposes a method to reduce energy consumption in computing devices during data transfer by encoding the data in a way that reduces the number of "1" data values and signal level transitions.

• The data is encoded using minimum Hamming weight encoding, which decreases the number of "1" data values.
• The encoded data is transmitted from a data source component to a data destination component of the computing device over a data communication interconnect.
• The received data is then decoded using minimum Hamming weight decoding.
• For other computing devices, the data can be encoded using maximum Hamming weight encoding, which increases the number of "1" data values and reduces the number of "0" values if it helps reduce energy consumption.

Potential Applications

• This technology can be applied in various computing devices, such as smartphones, laptops, and servers, to reduce energy consumption during data transfer.
• It can be implemented in off-chip interconnects, where data is transmitted between different components of a computing device.

Problems Solved

• Reduces energy consumption during data transfer in computing devices.
• Addresses the issue of high energy consumption associated with data communication interconnects.

Benefits

• Decreases the energy consumed by data transfer in computing devices.
• Improves the overall energy efficiency of computing devices.
• Can lead to longer battery life in portable devices.
• Reduces the environmental impact of computing devices by minimizing energy usage.

Original Abstract Submitted

The energy consumed by data transfer in a computing device may be reduced by transferring data that has been encoded in a manner that reduces the number of one “1” data values, the number of signal level transitions, or both. A data destination component of the computing device may receive data encoded in such a manner from a data source component of the computing device over a data communication interconnect, such as an off-chip interconnect. The data may be encoded using minimum Hamming weight encoding, which reduces the number of one “1” data values. The received data may be decoded using minimum Hamming weight decoding. For other computing devices, the data may be encoded using maximum Hamming weight encoding, which increases the number of one “1” data values while reducing the number of zero “0” values, if reducing the number of zero values reduces energy consumption.