G06F11/2205

Live data center test framework

Systems and methods are described for testing computing resources. In one embodiment, a search space of computing settings is analyzed in accordance with weighted data that maps computing performance parameters with the computing settings. A subset of the computing settings is selected to generate a test population to optimize at least one computing performance parameter. One or more computing devices in a computing environment are configured in accordance with the test population, and the test conditions are iteratively updated based on test results in accordance with the test population and a fitness function.

Scheduling of scenario models for execution within different computer threads and scheduling of memory regions for use with the scenario models

A method for testing a system-on-a-chip (SoC) is described. The method includes parsing a file to determine functions to be performed by components of the SoC. The method further includes receiving a desired output of the SoC and generating a test scenario model based on the desired output of the SoC. The test scenario model includes a plurality of module representations of the functions and includes one or more connections between two module representations of the plurality of module representations. The desired output acts as a performance constraint for the test scenario model. The test scenario model further includes an input of the SoC that is generated based on the desired output, the plurality of module representations, and the one or more connections. The test scenario model includes a path from the input via the plurality of module representations and the one or more connections to the desired output.

Register array having groups of latches with single test latch testable in single pass

A register array includes a plurality of groups of latches. Each of the groups of latches includes a first latch, a second latch, and a test latch connected to the first latch and the second latch. During functional operation the first latch and the second latch process data, in response to the same read/write clock signal supplied simultaneously to the first read/write clock input and the second read/write clock input. During test operation a skewed test clock signal of an original test clock signal is supplied at different timings to the first latch, the second latch, and the test latch, and a single scan signal is input to the first latch. The single scan signal cascades from the first latch through the test latch to the second latch, and is output by the second latch, within a single cycle of the original test clock signal.

STORAGE DEVICE AND DEBUGGING SYSTEM THEREOF
20190227907 · 2019-07-25 ·

A storage device includes a nonvolatile memory, a controller configured to control writing of data to the nonvolatile memory and reading of data from the nonvolatile memory in response to a request from a host, and a power module configured to receive power from the host. The controller is configured to transmit debugging data to the host through a channel connected to the host. The controller may be configured to transmit the debugging data to the host via at least one power line that is configurable for provision of power to the storage device.

SYSTEMS AND METHODS FOR PREDICTING INFORMATION HANDLING RESOURCE FAILURES USING DEEP RECURRENT NEURAL NETWORKS

In accordance with embodiments of the present disclosure, an information handling system may include a processor and a non-transitory computer-readable medium having stored thereon a program of instructions executable by the processor. The program of instructions may be configured to, when read and executed by the processor, receive telemetry data associated with one or more information handling resources, receive failure statistics associated with the one or more information handling resources, and correlate the telemetry data and the failure statistics to create training data for a pattern recognition engine configured to predict a failure status of an information handling resource from operational data associated with the information handling resource.

Non-intrusive monitoring and control of integrated circuits

A method of monitoring operations of a set of ICs. The method loads a first set of configuration data into a first IC for configuring a group of configurable circuits of the first IC to perform operations of a user design. The method receives a definition of an event based on values of a set of signals in the user design and a set of corresponding actions to take when the event occurs. The set of signals includes at least one signal received from a second IC. The method generates an incremental second set of configuration data based on the definition of the event and the set of corresponding actions. While the first IC is performing the operations of the user design, the method loads the incremental second set of configuration data into the first IC and monitors the signals received from the second IC at the first IC.

IN-BAND MONITOR IN SYSTEM MANAGEMENT MODE CONTEXT FOR IMPROVED CLOUD PLATFORM AVAILABILITY
20190188103 · 2019-06-20 ·

Optimizations are provided for remotely debugging a node in the cloud. Initially, a SMM environment is initialized in a computer's BIOS. Then, a debug agent that is located within the SMM environment receives an instruction indicative of a chipset-specific or platform-specific health-related issue. Based on this instruction, the debug agent executes a script entry by fetching health-related information from the computer's addressable endpoints. This information includes health-related metadata and/or counter information. The debug agent then records the information. Furthermore, the debug agent obtains a resolution for the health-related issue. Here, this resolution is at least partially based on the recorded information.

SELF-TEST DURING IDLE CYCLES FOR SHADER CORE OF GPU

The disclosure describes techniques for a self-test of a graphics processing unit (GPU) independent of instructions from another processing device. The GPU may perform the self-test in response to a determination that the GPU enters an idle mode. The self-test may be based on information indicating a safety level, where the safety level indicates how many faults in circuits or memory blocks of the GPU need to be detected.

Run time ECC error injection scheme for hardware validation

Systems and methods for a run-time error correction code (ECC) error injection scheme for hardware validation are disclosed. The systems and methods include configuring a read path to internally forward read data, and injecting at least one faulty bit into the forwarded read data via a read fault injection logic. The systems and methods may also include configuring a write path to internally forward write data, and injecting at least one faulty bit into the forwarded write data via a write fault injection logic.

SEMICONDUCTOR DEVICES AND SEMICONDUCTOR SYSTEMS
20190096455 · 2019-03-28 · ·

A semiconductor system may include a first semiconductor device and a second semiconductor device. The first semiconductor device may be configured to output a reset signal, command/address signals and data. The second semiconductor device may be configured to generate internal commands, internal addresses and internal data for performing an initialization operation. The second semiconductor device may be configured to store the internal data in a plurality of memory cells selected by the internal commands and the internal addresses.