Abstract: One embodiment provides an apparatus comprising a memory stack including multiple memory dies and a parallel processor including a plurality of multiprocessors. Each multiprocessor has a single instruction, multiple thread (SIMT) architecture, the parallel processor coupled to the memory stack via one or more memory interfaces. At least one multiprocessor comprises a multiply-accumulate circuit to perform multiply-accumulate operations on matrix data in a stage of a neural network implementation to produce a result matrix comprising a plurality of matrix data elements at a first precision, precision tracking logic to evaluate metrics associated with the matrix data elements and indicate if an optimization is to be performed for representing data at a second stage of the neural network implementation, and a numerical transform unit to dynamically perform a numerical transform operation on the matrix data elements based on the indication to produce transformed matrix data elements at a second precision.

Abstract: An apparatus to facilitate optimization of a convolutional neural network (CNN) is disclosed. The apparatus includes optimization logic to receive a CNN model having a list of instructions and including pruning logic to optimize the list of instructions by eliminating branches in the list of instructions that comprise a weight value of 0.

Abstract: A method is provided for evaluating operational and financial performance for dispatchers in power grid control centers associated with utility systems. A comprehensive operating plan is provided that applies after the fact analysis for performance metrics, root-cause impacts and process re-engineering. after the fact analysis of past events and practices is performed. Actual system and resource conditions are captured. the system and resource conditions are supplied to a relational database. A scheduler engine receives the actual system and resource conditions from the relational database and processes it to calculate system performance.

Abstract: A method is provided for evaluating operational and financial performance for dispatchers in power grid control centers associated with utility systems. A comprehensive operating plan is provided that applies after the fact analysis for performance metrics, root-cause impacts and process re-engineering. after the fact analysis of past events and practices is performed. Actual system and resource conditions are captured. the system and resource conditions are supplied to a relational database. A scheduler engine receives the actual system and resource conditions from the relational database and processes it to calculate system performance.

Abstract: A method is provided for evaluating operational and financial performance for dispatchers in power grid control centers associated with utility systems. A comprehensive operating plan is provided that applies after the fact analysis for performance metrics, root-cause impacts and process re-engineering. after the fact analysis of past events and practices is performed. Actual system and resource conditions are captured. the system and resource conditions are supplied to a relational database. A scheduler engine receives the actual system and resource conditions from the relational database and processes it to calculate system performance.

Abstract: A decision-support tool is provided to evaluate operational and financial performance for dispatchers in power grid control centers associated with utility systems. A scheduler engine is coupled to a comprehensive operating plan that applies after the fact analysis for performance metrics, root-cause impacts and process re-engineering. A relational database is coupled to a data archiver that captures actual system and resource conditions and then supplies the system and resource conditions to the relational database. The scheduler engine receives the actual system and resource conditions from the relational database and processes it to calculate system performance.

Abstract: A decision-support tool is provided to evaluate operational and financial performance for dispatchers in power grid control centers associated with utility systems. A scheduler engine is coupled to a comprehensive operating plan that applies after the fact analysis for performance metrics, root-cause impacts and process re-engineering. A relational database is coupled to a data archiver that captures actual system and resource conditions and then supplies the system and resource conditions to the relational database. The scheduler engine receives the actual system and resource conditions from the relational database and processes it to calculate system performance.

Abstract: A method is provided for evaluating operational and financial performance for dispatchers in power grid control centers associated with utility systems. A comprehensive operating plan is provided that applies after the fact analysis for performance metrics, root-cause impacts and process re-engineering. after the fact analysis of past events and practices is performed. Actual system and resource conditions are captured. the system and resource conditions are supplied to a relational database. A scheduler engine receives the actual system and resource conditions from the relational database and processes it to calculate system performance.