Abstract: A computer-implemented method for sorting non-volatile random access memories (NVRAMS) includes testing a failure metric for each of a plurality of NVRAMS over a plurality of testing sessions to capture failure metric data that corresponds to the plurality of NVRAMS. The method also includes determining a trend in the failure metric as a function of testing cycles for each of the plurality of NVRAMS from the failure metric data, and separating the plurality of NVRAMS into groups based on the trend in the failure metric as a function of testing cycles. A corresponding computer program product and computer system are also disclosed herein.

Abstract: A computer-implemented method includes receiving probability distribution function (PDF) data corresponding to bit-error-rate (BER) data for each of a plurality of data blocks within a qualified set of NVRAMS, collecting non-exhaustive bit-error-rate data for each of the data blocks on a tested NVRAM to produce non-exhaustive test data for each of the data blocks, determining a plurality of stable data blocks on the tested NVRAM based on the non-exhaustive test data and the probability distribution function data for each of the data blocks, determining, from the non-exhaustive test data, an inferior data block for the stable data blocks on the tested NVRAM, collecting exhaustive bit-error-rate data on the inferior data block to produce exhaustive test data for the tested NVRAM, and routing the tested NVRAM according to the exhaustive test data. A corresponding computer program product and computer system are also disclosed herein.

Abstract: A computer-implemented method for sorting non-volatile random access memories (NVRAMS) includes testing a failure metric for each of a plurality of NVRAMS over a plurality of testing sessions to capture failure metric data that corresponds to the plurality of NVRAMS. The method also includes determining a trend in the failure metric as a function of testing cycles for each of the plurality of NVRAMS from the failure metric data, and separating the plurality of NVRAMS into groups based on the trend in the failure metric as a function of testing cycles. A corresponding computer program product and computer system are also disclosed herein.

Abstract: A computer-implemented method for sorting non-volatile random access memories (NVRAMS) includes testing a failure metric for each of a plurality of NVRAMS over a plurality of testing sessions to capture failure metric data that corresponds to the plurality of NVRAMS. The method also includes determining a trend in the failure metric as a function of testing cycles for each of the plurality of NVRAMS from the failure metric data, and separating the plurality of NVRAMS into groups based on the trend in the failure metric as a function of testing cycles. A corresponding computer program product and computer system are also disclosed herein.

Abstract: A computer-implemented method includes receiving probability distribution function (PDF) data corresponding to bit-error-rate (BER) data for each of a plurality of data blocks within a qualified set of NVRAMS, collecting non-exhaustive bit-error-rate data for each of the data blocks on a tested NVRAM to produce non-exhaustive test data for each of the data blocks, determining a plurality of stable data blocks on the tested NVRAM based on the non-exhaustive test data and the probability distribution function data for each of the data blocks, determining, from the non-exhaustive test data, an inferior data block for the stable data blocks on the tested NVRAM, collecting exhaustive bit-error-rate data on the inferior data block to produce exhaustive test data for the tested NVRAM, and routing the tested NVRAM according to the exhaustive test data. A corresponding computer program product and computer system are also disclosed herein.

Abstract: An embodiment of the invention may include a cleaving apparatus. The cleaving apparatus may include a first arm having a first cleaving wedge and a second arm having a second cleaving wedge. The first cleaving wedge may include a first front surface and a first bottom surface, where the first front surface is oriented away from the first bottom surface. The second cleaving wedge may include a second front surface and a second bottom surface, where the second front surface is oriented away from the second bottom surface. The first arm and the second arm may be arranged to move with respect to each other. Further, the cleaving apparatus may include a heating apparatus located in the first cleaving wedge.

Abstract: A computer-implemented method for sorting non-volatile random access memories (NVRAMS) includes testing a failure metric for each of a plurality of NVRAMS over a plurality of testing sessions to capture failure metric data that corresponds to the plurality of NVRAMS. The method also includes determining a trend in the failure metric as a function of testing cycles for each of the plurality of NVRAMS from the failure metric data, and separating the plurality of NVRAMS into groups based on the trend in the failure metric as a function of testing cycles. A corresponding computer program product and computer system are also disclosed herein.

Abstract: A computer-implemented method for sorting non-volatile random access memories (NVRAMS) includes testing a failure metric for each of a plurality of NVRAMS over a plurality of testing sessions to capture failure metric data that corresponds to the plurality of NVRAMS. The method also includes determining a trend in the failure metric as a function of testing cycles for each of the plurality of NVRAMS from the failure metric data, and separating the plurality of NVRAMS into groups based on the trend in the failure metric as a function of testing cycles. A corresponding computer program product and computer system are also disclosed herein.

Abstract: A computer-implemented method for sorting non-volatile random access memories (NVRAMS) includes testing a failure metric for each of a plurality of NVRAMS over a plurality of testing sessions to capture failure metric data that corresponds to the plurality of NVRAMS. The method also includes determining a trend in the failure metric as a function of testing cycles for each of the plurality of NVRAMS from the failure metric data, and separating the plurality of NVRAMS into groups based on the trend in the failure metric as a function of testing cycles. A corresponding computer program product and computer system are also disclosed herein.

Abstract: A computer-implemented method for sorting non-volatile random access memories (NVRAMS) includes testing a failure metric for each of a plurality of NVRAMS over a plurality of testing sessions to capture failure metric data that corresponds to the plurality of NVRAMS. The method also includes determining a trend in the failure metric as a function of testing cycles for each of the plurality of NVRAMS from the failure metric data, and separating the plurality of NVRAMS into groups based on the trend in the failure metric as a function of testing cycles. A corresponding computer program product and computer system are also disclosed herein.