Abstract: A method for identifying and handling related incidents using a machine-learning based model, includes, performing by one or more processors, operations including: clustering a sub-group of incident records from among a plurality of incident records using the machine-learning based model based on a rolling time window and a number of records in the sub-group of incident records; creating a problem record based on the clustered incident records; populating the problem record with information related to the clustered incident records; linking the clustered incident records to the problem record; providing a notification that the problem record has been created; receiving a resolution for the problem record; and updating, based on the resolution, the machine-learning based model to learn an association between extracted features of the resolution and extracted features of the clustered incident records.

Abstract: Techniques relating to register file prefetch are described. In an embodiment, execution circuitry causes issuance of a prefetch request to copy data from a data cache unit to a register file. Other embodiments are also disclosed and claimed.

Abstract: Techniques and mechanisms for determining a relative order in which a load instruction and a store instruction are to be executed. In an embodiment, a processor detects an address collision event wherein two instructions, corresponding to different respective instruction pointer values, target the same memory address. Based on the address collision event, the processor identifies respective instruction types of the two instructions as an aliasing instruction type pair. The processor further determines a count of decisions each to forego a reversal of an order of execution of instructions. Each decision represented in the count is based on instructions which are each of a different respective instruction type of the aliasing instruction type pair. In another embodiment, the processor determines, based on the count of decisions, whether a later load instruction is to be advanced in an order of instruction execution.

Abstract: Described are mechanisms and methods for amortizing the cost of address decode, row-decode and wordline firing across multiple read accesses (instead of just on one read access). Some or all memory locations that share a wordline (WL) may be read, by walking through column multiplexor addresses (instead of just reading out one column multiplexor address per WL fire or memory access). The mechanisms and methods disclosed herein may advantageously enable N distinct memory words to be read out if the array uses an N-to-1 column multiplexor. Since memories such as embedded DRAMs (eDRAMs) may undergo a destructive read, for a given WL fire, a design may be disposed to sense N distinct memory words and restore them in order.

Abstract: Described are mechanisms and methods for amortizing the cost of address decode, row-decode and wordline firing across multiple read accesses (instead of just on one read access). Some or all memory locations that share a wordline (WL) may be read, by walking through column multiplexor addresses (instead of just reading out one column multiplexor address per WL fire or memory access). The mechanisms and methods disclosed herein may advantageously enable N distinct memory words to be read out if the array uses an N-to-1 column multiplexor. Since memories such as embedded DRAMs (eDRAMs) may undergo a destructive read, for a given WL fire, a design may be disposed to sense N distinct memory words and restore them in order.