Intel Corporation

Mohit Kumar Garg

Vinodh Gopal

Akhilesh Thyagaturu

Saidulu Aldas

Examples described herein relate to controlling power available to processes and hardware devices to control a monetary cost of utilized electricity and/or amount of energy utilized from non-renewable energy sources. The system can modify operating configurations of processes and/or hardware based on the available power. The system can control total power drawn to control a monetary cost of power and/or avoid drawing power from non-renewable sources (e.g., fossil fuel sources or grid including gas or coal-based energy sources).

Platform configuration based on availability of sustainable energy

Methods, apparatus, and software for efficient accelerator offload in multi-accelerator frameworks. One multi-accelerator framework employs a compute platform including a plurality of processor cores and a plurality of accelerator devices. An application is executed on a first core and a portion of the application workload is offloaded to a first accelerator device. In connection with moving execution of the application to a second core, a second accelerator devices to be used for the offloaded workload is selected based on core-to-accelerator cost information for the second core. This core-to-accelerator cost information includes core-accelerator cost information for combinations of core-accelerator pairs, which are based, at least on part, on latencies projected for interconnect paths between cores and accelerators. Both single-socket and multi-socket platform are supported. The solutions include mechanisms for moving offloaded workloads for multiple accelerator devices, as well as synchronizing accelerator operations and workflows.

Growing community of inventors

Hisar, India

Mohit Kumar Garg