Abstract:
An apparatus includes a cavity formed in a support structure, the support structure being operable to support a semiconductor device. A circuit element is disposed in the cavity in the support structure, and the cavity in the support structure is filled with an electrically non-conductive filling material so as to at least partially surround the circuit element with the non-conductive filling material. The semiconductor device is electrically connected to the circuit element. In an example embodiment, the circuit element is operable to substantially block direct current that is output by the semiconductor device or another semiconductor device.
Abstract:
An approach is presented herein to use an in-situ algorithmic decision methodology during each stage of testing before 2C/4C to decide how long to test, how much margin should be used for each device under the test (DUT) to shorten or eliminate 2C/4C testing. Each DUT will be tested differently based on the risk level or the likelihood of failure at 2C/4C. To be able to achieve this, low-level hardware (HW) based sensors (on the printed circuit board assembly (PCBA), in power module, in silicon components, in silicon component complex, etc.) are used to collect telemetry data with a high frequency data acquisition rate during the testing. As testing is ongoing for each DUT, a margin distribution and algorithm modeling is performed in-situ.
Abstract:
An approach is presented herein to use an in-situ algorithmic decision methodology during each stage of testing before 2C/4C to decide how long to test, how much margin should be used for each device under the test (DUT) to shorten or eliminate 2C/4C testing. Each DUT will be tested differently based on the risk level or the likelihood of failure at 2C/4C. To be able to achieve this, low-level hardware (HW) based sensors (on the printed circuit board assembly (PCBA), in power module, in silicon components, in silicon component complex, etc.) are used to collect telemetry data with a high frequency data acquisition rate during the testing. As testing is ongoing for each DUT, a margin distribution and algorithm modeling is performed in-situ.
Abstract:
Techniques are described for detecting counterfeit products by identifying differences between hardware components and orientations of the counterfeit products, and hardware components and orientations of authentic products. In some examples, the hardware components and orientations can be identified by generating hardware intrinsic development data based on telemetry data of products (or “devices”). By way of example, the telemetry data may be analyzed by machine learning (ML) models to generate representative models of the hardware intrinsic development data. In various examples, the representative models can include sample representative models of hardware intrinsic development data generated based on valid telemetry data of authentic devices. In those or other examples, the representative models can include other representative models (or “test representative models”) of hardware intrinsic development data generated based on unvalidated telemetry data of test devices. Comparisons between the representative models can be utilized to identify the counterfeit products.
Abstract:
A multi-layer substrate stacking a plurality of insulating substrates supports one or more devices. Each substrate includes a face supporting conductive traces and edges surrounding the face at a substantially perpendicular angle. The multi-layer substrate includes a ground plane on a first substrate and a power plane on a second substrate. The ground plane is connected to at least one ground pad disposed on a first edge of the first substrate, which provides a low inductance ground path to the ground plane. The power plane is connected to at least one power pad disposed on a second edge of the second substrate, which provides a low inductance power path to the power plane.
Abstract:
A multi-layer substrate stacking a plurality of insulating substrates supports one or more devices. Each substrate includes a face supporting conductive traces and edges surrounding the face at a substantially perpendicular angle. The multi-layer substrate includes a ground plane on a first substrate and a power plane on a second substrate. The ground plane is connected to at least one ground pad disposed on a first edge of the first substrate, which provides a low inductance ground path to the ground plane. The power plane is connected to at least one power pad disposed on a second edge of the second substrate, which provides a low inductance power path to the power plane.
Abstract:
A method, computer system, and computer program product are provided for stress-testing electronics using telemetry modeling. Telemetry data is received from one or more devices under test during a hardware testing phase, the telemetry data including one or more telemetry parameters. The telemetry data is processed using a predictive model to determine future values for the one or more telemetry parameters. Additional hardware testing is performed, wherein the additional hardware testing includes adjusting one or more testing components based on the determined future values.
Abstract:
An apparatus is provided that includes a thin-film interconnect structure that comprises one or more polymeric layers and conductive plating, a first surface of the thin-film interconnect structure being configured to receive one or more dies, and a second surface of the thin-film interconnect structure being configured to receive a substrate. A method of assembling the apparatus into an integrated circuit assembly is also provided.
Abstract:
An apparatus includes a cavity formed in a support structure, the support structure being operable to support a semiconductor device. A circuit element is disposed in the cavity in the support structure, and the cavity in the support structure is filled with an electrically non-conductive filling material so as to at least partially surround the circuit element with the non-conductive filling material. The semiconductor device is electrically connected to the circuit element. In an example embodiment, the circuit element is operable to substantially block direct current that is output by the semiconductor device or another semiconductor device.
Abstract:
A method, computer system, and computer program product are provided for stress-testing electronics using telemetry modeling. Telemetry data is received from one or more devices under test during a hardware testing phase, the telemetry data including one or more telemetry parameters. The telemetry data is processed using a predictive model to determine future values for the one or more telemetry parameters. Additional hardware testing is performed, wherein the additional hardware testing includes adjusting one or more testing components based on the determined future values.