Future Wei Technologies, Inc.

Huawei Technologies Co., Limited

Da Qi Ren

Liang Peng

Zhulin Wei

Qian Wang

Xingyu Jiang

Branch prediction techniques for pipelined microprocessors are disclosed. A microprocessor for branch predictor selection includes a fetch stage configured to retrieve instructions from a memory. A buffer is configured to store instructions retrieved by the fetch stage, and one or more pipelined stages configured to execute the instructions stored in the buffer. The branch predictor, communicatively coupled to the buffer and the one or more pipelined stages, is configured to select a branch target predictor from a set of branch target predictors. Each of the branch target predictors comprise a trained model associated with a previously executed instruction to identify a target branch path for the instruction currently being executed based on the selected branch target predictor.

Apparatus and method for branch prediction using machine learning with new learning models

A lockstep controller operates a lockstep system of three or more CPU-GPU pairs, comparing the outputs from the CPU-GPU pairs and, by way of a majority vote, provides the output for the lockstep system. Based on comparing the outputs, if one of the CPU-GPU pairs provides outputs that disagree with the majority outputs, it can be switched out of the lockstep system. The removed CPU is replaced by a backup CPU. So that the backup CPU can be part of a CPU-GPU pair, a portion of the address space from the GPU of one of the other CPU-GPU pairs is assigned to the backup CPU to operate as a replacement CPU-GPU pair, while the CPU already associated with this GPU retains another portion of the GPU's address space to continue operating as a CPU-GPU pair.

CPU-GPU lockstep system

A fault tolerant processing environment wherein multiple processors are configured as worker nodes and redundant nodes, with a failed worker node replaced programmatically by a manager node. Each of the processing nodes may include a processor and memory associated with the processor and communicate with other processing nodes using a network. A manager node creates a message passing interface (MPI) communication group having worker nodes and redundant nodes, instructs the worker nodes to perform lockstep processing of tasks for an application, and monitors execution of the tasks. If a node fails, the manager node creates a replacement worker node from one of the redundant processing nodes and creates a new communications group. It then instructs those nodes in the new communications group to resume processing based on the application state and checkpoint backup data.

Lockstep processor recovery for vehicle applications

A method and system for a distributing and computing platform are provided that generates a mapping between each of a plurality of applications and a plurality of application storage formats, wherein each application has a mapping to at least one application storage format; stores the mapping of the application and the application storage format in the name node; obtains a data node storage format information for each of the plurality of data nodes; stores the data node storage format information for each of the plurality of data nodes in the name node; and stores data generated by at least one of the plurality of applications in at least one data node based on the mapping information stored in the name node. Through the above embodiment, the distributing and computing platform may store the data in the data node with the storage format which is proper for the application.

Method and system for a distributing computing platform

A computer-implemented method of allocating cloud resources is provided that comprises: receiving, by a cloud host, data that identifies, for an application, a relationship between consumption of a first resource type and consumption of a second resource type; determining, by the cloud host, a consumption level of the first resource type of the application; and allocating, by the cloud host, one or more resources of the second resource type based on the identified relationship.

Cloud quality of service management

An apparatus comprising a receiver configured to receive a plurality of power measurements from a plurality of power sensors, and a processor coupled to the receiver and configured to determine an amount of power used by a processing element in a data center by determining a summation of the plurality of power measurements, determine a data to Watt ratio that indicates an amount of data that may be processed by the processing element per unit of power used, determine an estimated execution time for processing the amount of data by the processing element, and determine an estimated energy consumption that indicates an amount of energy to be used by the processing element to process the amount of data.

Approach for end-to-end power efficiency modeling for data centers

A method of providing failure recovery capabilities to a cloud environment for scientific HPC applications. An HPC application with MPI implementation extends the class of MPI programs to embed the HPC application with various degrees of fault tolerance. An MPI fault tolerance mechanism realizes a recover-and-continue solution. If an error occurs, only failed processes re-spawn, the remaining living processes remain in their original processors/nodes, and system recovery costs are thus minimized.

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Saratoga, CA, United States of America

Da Qi Ren