公开(公告)号：US10756756B2

公开(公告)日：2020-08-25

申请号：US16131722

申请日：2018-09-14

Applicant: HEWLETT PACKARD ENTERPRISE DEVELOPMENT LP

Inventor： Anirban Nag ,  Naveen Muralimanohar ,  Paolo Faraboschi

IPC: H03M7/30 ,  H03M7/24

Abstract: Computer-implemented methods, systems, and devices to perform lossless compression of floating point format time-series data are disclosed. A first data value may be obtained in floating point format representative of an initial time-series parameter. For example, an output checkpoint of a computer simulation of a real-world event such as weather prediction or nuclear reaction simulation. A first predicted value may be determined representing the parameter at a first checkpoint time. A second data value may be obtained from the simulation. A prediction error may be calculated. Another predicted value may be generated for a next point in time and may be adjusted by the previously determined prediction error (e.g., to increase accuracy of the subsequent prediction). When a third data value is obtained, the adjusted prediction value may be used to generate a difference (e.g., XOR) for storing in a compressed data store to represent the third data value.

公开(公告)号：US11018692B2

公开(公告)日：2021-05-25

申请号：US16942293

申请日：2020-07-29

Applicant: HEWLETT PACKARD ENTERPRISE DEVELOPMENT LP

Inventor： Anirban Nag ,  Naveen Muralimanohar ,  Paolo Faraboschi

IPC: H03M7/30 ,  H03M7/24

Abstract: Computer-implemented methods, systems, and devices to perform lossless compression of floating point format time-series data are disclosed. A first data value may be obtained in floating point format representative of an initial time-series parameter. For example, an output checkpoint of a computer simulation of a real-world event such as weather prediction or nuclear reaction simulation. A first predicted value may be determined representing the parameter at a first checkpoint time. A second data value may be obtained from the simulation. A prediction error may be calculated. Another predicted value may be generated for a next point in time and may be adjusted by the previously determined prediction error (e.g., to increase accuracy of the subsequent prediction). When a third data value is obtained, the adjusted prediction value may be used to generate a difference (e.g., XOR) for storing in a compressed data store to represent the third data value.

公开(公告)号：US20200091930A1

公开(公告)日：2020-03-19

申请号：US16131722

申请日：2018-09-14

Applicant: HEWLETT PACKARD ENTERPRISE DEVELOPMENT LP

Inventor： Anirban Nag ,  Naveen Muralimanohar ,  Paolo Faraboschi

IPC: H03M7/30 ,  H03M7/24

Abstract: Computer-implemented methods, systems, and devices to perform lossless compression of floating point format time-series data are disclosed. A first data value may be obtained in floating point format representative of an initial time-series parameter. For example, an output checkpoint of a computer simulation of a real-world event such as weather prediction or nuclear reaction simulation. A first predicted value may be determined representing the parameter at a first checkpoint time. A second data value may be obtained from the simulation. A prediction error may be calculated. Another predicted value may be generated for a next point in time and may be adjusted by the previously determined prediction error (e.g., to increase accuracy of the subsequent prediction). When a third data value is obtained, the adjusted prediction value may be used to generate a difference (e.g., XOR) for storing in a compressed data store to represent the third data value.