Abstract:
A memory system or flash card may include a mechanism for memory cell measurement and analysis that independently measures/predicts memory wear/endurance, data retention (DR), read disturb, and/or remaining margin. These effects may be independently quantified by analyzing the state distributions of the individual voltage levels of the cells. In particular, a histogram of cell voltage distributions of the memory cells can be analyzed to identify signatures for certain effects (e.g. wear, DR, read disturb, margin, etc.). Those measurements may be used for block cycling, data loss prediction, or adjustments to memory parameters. Pre-emptive action at the appropriate time based on the measurements may lead to improved memory management and data management. That action may include calculating the remaining useful life of data stored in memory, cycling blocks, predicting data loss, trade-off or dynamic adjustments of memory parameters.
Abstract:
A memory system or flash card may include a mechanism for memory cell measurement and analysis that independently measures/predicts memory wear/endurance, data retention (DR), read disturb, and/or remaining margin. These effects may be independently quantified by analyzing the state distributions of the individual voltage levels of the cells. In particular, a histogram of cell voltage distributions of the memory cells can be analyzed to identify signatures for certain effects (e.g. wear, DR, read disturb, margin, etc.). Those measurements may be used for block cycling, data loss prediction, or adjustments to memory parameters. Pre-emptive action at the appropriate time based on the measurements may lead to improved memory management and data management. That action may include calculating the remaining useful life of data stored in memory, cycling blocks, predicting data loss, trade-off or dynamic adjustments of memory parameters.
Abstract:
A memory system or flash card may include a mechanism for memory cell measurement and analysis that independently measures/predicts memory wear/endurance, data retention (DR), read disturb, and/or remaining margin. These effects may be independently quantified by analyzing the state distributions of the individual voltage levels of the cells. In particular, a histogram of cell voltage distributions of the memory cells can be analyzed to identify signatures for certain effects (e.g. wear, DR, read disturb, margin, etc.). Those measurements may be used for block cycling, data loss prediction, or adjustments to memory parameters. Pre-emptive action at the appropriate time based on the measurements may lead to improved memory management and data management. That action may include calculating the remaining useful life of data stored in memory, cycling blocks, predicting data loss, trade-off or dynamic adjustments of memory parameters.
Abstract:
A memory system or flash card may include a mechanism for memory cell measurement and analysis that independently measures/predicts memory wear/endurance, data retention (DR), read disturb, and/or remaining margin. These effects may be independently quantified by analyzing the state distributions of the individual voltage levels of the cells. In particular, a histogram of cell voltage distributions of the memory cells can be analyzed to identify signatures for certain effects (e.g. wear, DR, read disturb, margin, etc.). Those measurements may be used for block cycling, data loss prediction, or adjustments to memory parameters. Pre-emptive action at the appropriate time based on the measurements may lead to improved memory management and data management. That action may include calculating the remaining useful life of data stored in memory, cycling blocks, predicting data loss, trade-off or dynamic adjustments of memory parameters.
Abstract:
A method and system are disclosed for improved block erase cycle life prediction and block management in a non-volatile memory. The method includes the storage device tracking information relating to a first erase cycle count at which the block erase time exceeded a predetermined threshold relative to a first erase cycle at which this occurred in other blocks. Blocks having a later relative erase cycle at which the erase time threshold is exceeded are assumed to have a greater erase cycle life than those that need to exceed the erase time threshold at an earlier erase cycle. This information is used to adjust wear leveling in the form of free block selection, garbage collection block selection and other block management processes. Alternatively or in combination, the predicted erase cycle life information is used to adjust program and/or erase parameters such as erase voltage and time.
Abstract:
A method and system are disclosed for improved block erase cycle life prediction and block management in a non-volatile memory. The method includes the storage device tracking information relating to a first erase cycle count at which the block erase time exceeded a predetermined threshold relative to a first erase cycle at which this occurred in other blocks. Blocks having a later relative erase cycle at which the erase time threshold is exceeded are assumed to have a greater erase cycle life than those that need to exceed the erase time threshold at an earlier erase cycle. This information is used to adjust wear leveling in the form of free block selection, garbage collection block selection and other block management processes. Alternatively or in combination, the predicted erase cycle life information is used to adjust program and/or erase parameters such as erase voltage and time.
Abstract:
A memory system or flash card may include a mechanism for memory cell measurement and analysis that independently measures/predicts memory wear/endurance, data retention (DR), read disturb, and/or remaining margin. These effects may be independently quantified by analyzing the state distributions of the individual voltage levels of the cells. In particular, a histogram of cell voltage distributions of the memory cells can be analyzed to identify signatures for certain effects (e.g. wear, DR, read disturb, margin, etc.). Those measurements may be used for block cycling, data loss prediction, or adjustments to memory parameters. Pre-emptive action at the appropriate time based on the measurements may lead to improved memory management and data management. That action may include calculating the remaining useful life of data stored in memory, cycling blocks, predicting data loss, trade-off or dynamic adjustments of memory parameters.
Abstract:
A method and system are disclosed for improved block erase cycle life prediction and block management in a non-volatile memory. The method includes the storage device tracking information relating to a first erase cycle count at which the block erase time exceeded a predetermined threshold relative to a first erase cycle at which this occurred in other blocks. Blocks having a later relative erase cycle at which the erase time threshold is exceeded are assumed to have a greater erase cycle life than those that need to exceed the erase time threshold at an earlier erase cycle. This information is used to adjust wear leveling in the form of free block selection, garbage collection block selection and other block management processes. Alternatively or in combination, the predicted erase cycle life information is used to adjust program and/or erase parameters such as erase voltage and time.
Abstract:
A memory system or flash card may include a mechanism for memory cell measurement and analysis that independently measures/predicts memory wear/endurance, data retention (DR), read disturb, and/or remaining margin. These effects may be independently quantified by analyzing the state distributions of the individual voltage levels of the cells. In particular, a histogram of cell voltage distributions of the memory cells can be analyzed to identify signatures for certain effects (e.g. wear, DR, read disturb, margin, etc.). Those measurements may be used for block cycling, data loss prediction, or adjustments to memory parameters. Pre-emptive action at the appropriate time based on the measurements may lead to improved memory management and data management. That action may include calculating the remaining useful life of data stored in memory, cycling blocks, predicting data loss, trade-off or dynamic adjustments of memory parameters.
Abstract:
A memory system or flash card may include a mechanism for memory cell measurement and analysis that independently measures/predicts memory wear/endurance, data retention (DR), read disturb, and/or remaining margin. These effects may be independently quantified by analyzing the state distributions of the individual voltage levels of the cells. In particular, a histogram of cell voltage distributions of the memory cells can be analyzed to identify signatures for certain effects (e.g. wear, DR, read disturb, margin, etc.). Those measurements may be used for block cycling, data loss prediction, or adjustments to memory parameters. Pre-emptive action at the appropriate time based on the measurements may lead to improved memory management and data management. That action may include calculating the remaining useful life of data stored in memory, cycling blocks, predicting data loss, trade-off or dynamic adjustments of memory parameters.