Invention Application
- Patent Title: REDUCING BURN-IN FOR MONTE-CARLO SIMULATIONS VIA MACHINE LEARNING
-
Application No.: US17094690Application Date: 2020-11-10
-
Publication No.: US20220147668A1Publication Date: 2022-05-12
- Inventor: Nicholas Malaya , Jakub Kurzak
- Applicant: Advanced Micro Devices, Inc.
- Applicant Address: US CA Santa Clara
- Assignee: Advanced Micro Devices, Inc.
- Current Assignee: Advanced Micro Devices, Inc.
- Current Assignee Address: US CA Santa Clara
- Main IPC: G06F30/27
- IPC: G06F30/27 ; G06F17/18 ; G06K9/62

Abstract:
Techniques are disclosed for compressing data. The techniques include identifying, in data to be compressed, a first set of values, wherein the first set of values include a first number of two or more consecutive identical non-zero values; including, in compressed data, a first control value indicating the first number of non-zero values and a first data item corresponding to the consecutive identical non-zero values; identifying, in the data to be compressed, a second value having an exponent value included in a defined set of exponent values; including, in the compressed data, a second control value indicating the exponent value and a second data item corresponding to a portion of the second value other than the exponent value; and including, in the compressed data, a third control value indicating a third set of one or more consecutive zero values in the data to be compressed.
Information query