Abstract:
Embodiments relate to storing data in memory. An aspect includes applying a power savings technique to at least a subset of a processor. Pending work items scheduled to be executed by the processor are monitored. The pending work items are grouped based on the power savings technique. The grouping includes delaying a scheduled execution time of at least one of the pending work items to increase an overall number of clock cycles that the power savings technique is applied to the processor. It is determined that an execution criteria has been met. The pending work items are executed based on the execution criteria being met and the grouping.
Abstract:
A mechanism is provided for an integrated circuit with power gating. A power header switch is configured to connect and disconnect any one of multiple circuits to a common voltage source, where a powered off circuit is disconnected from the common voltage source. A power-up sequencer includes an initial stages power-up component and a final stages power-up component. The final stages power-up component is configured to execute final stages of a power-up process for the powered off circuit, and the initial stages power-up component is configured to execute initial stages of the power-up process for the powered off circuit. The initial stages power-up component is activated in response to a predictive power-up request.
Abstract:
An apparatus for detecting hard errors in a circuit includes a storage device and a processing circuit. The storage has stored therein test data and normal data. The processing circuit includes combinational logic in series with at least one set of input latches and at least one set of output latches. The apparatus includes a test control module configured to control the processing circuit to halt a flow of normal data through the processing circuit and run the test data through the processing circuit while subjecting the processing circuit to a stress condition.
Abstract:
In one aspect, a method of enhancing semiconductor chip process variability and lifetime reliability through a three-dimensional (3D) integration applied to electronic packaging is disclosed. Also provided is an arrangement for implementing the inventive method. In another aspect, a method and on-chip controller are disclosed for enhancing semiconductor chip process variability and lifetime reliability through a three-dimensional (3D) integration applied to electronic packaging. Also provided is an on-chip reliability/variability controller arrangement for implementing the inventive method. In yet another aspect, base semiconductor chips, each comprising a plurality of chiplets, are manufactured and tested. For a base semiconductor chip having at least one non-functional chiplet, at least one repair semiconductor chiplet is vertically stacked. A functional multi-chip assembly is formed, which provides the same functionality as a base semiconductor chip in which all chiplets are functional.
Abstract:
Tasks of directed acyclic graphs (DAGs) may be dynamically scheduled based on a plurality of constraints and conditions, task prioritization policies, task execution estimates, and configurations of a heterogenous system. A machine learning component may be initialized to dynamically schedule the tasks of the DAGs.
Abstract:
Systems, computer-implemented methods and/or computer program products that facilitate management of resources are provided. In one embodiment, a computer-implemented method comprises: employing, by a system operatively coupled to a processor, at least one model to predict respective token needs by a set of processing elements during execution of a workload; and exchanging, by the system, one or more tokens between a subset of the processing elements as a function of the predicted token needs.
Abstract:
Techniques facilitating determination and correction of physical circuit event related errors of a hardware design are provided. A system can comprise a memory that stores computer executable components and a processor that executes computer executable components stored in the memory. The computer executable components can comprise a simulation component that injects a fault into a latch and a combination of logic of an emulated hardware design. The fault can be a biased fault injection that can mimic an error caused by a physical circuit event error vulnerability. The computer executable components can also comprise an observation component that determines one or more paths of the emulated hardware design that are vulnerable to physical circuit event related errors based on the biased fault injection.
Abstract:
Applications on different processing elements have different characteristics such as latency versus bandwidth sensitivity, memory level parallelism, different memory access patterns and the like. Interference between applications due to contention at different sources leads to different effects on performance and is quantified. A method for contention-aware resource provisioning in heterogeneous processors includes receiving stand-alone performance statistics for each processing element for a given application. Multi-core performance slowdown can be computed from the received stand-alone performance statistics. When a request to provision an application on the heterogeneous processors is received, application performance requirements of the application can be determined and a bandwidth for the application can be provisioned based on the application performance requirements and the computed multi-core performance slowdown parameter.
Abstract:
A first voltage may be applied to a memory in a neural network. The memory may include one or more memory cells. A processor may determine that a first memory cell in the memory is faulty at the first voltage. The first voltage may be a low voltage. The processor may identify a first factor in the neural network. The first factor may have a low criticality in the neural network. The processor may determine to store the first factor in the first memory cell. The processor may store the first factor in the first memory cell.
Abstract:
Applications on different processing elements have different characteristics such as latency versus bandwidth sensitivity, memory level parallelism, different memory access patterns and the like. Interference between applications due to contention at different sources leads to different effects on performance and is quantified. A method for contention-aware resource provisioning in heterogeneous processors includes receiving stand-alone performance statistics for each processing element for a given application. Multi-core performance slowdown can be computed from the received stand-alone performance statistics. When a request to provision an application on the heterogeneous processors is received, application performance requirements of the application can be determined and a bandwidth for the application can be provisioned based on the application performance requirements and the computed multi-core performance slowdown parameter.