Abstract: A matrix multiplier and an operation method thereof are provided. The matrix multiplier includes a plurality of first input lines, a plurality of second input lines and a computing array. The computing array includes a plurality of multiplication accumulation (MAC) cells. A first MAC cell of the plurality of MAC cells is coupled to a first corresponding input line of the plurality of first input lines and a second corresponding input line of the plurality of second input lines to receive a first input value and a second input value to perform a multiplication accumulation operation. When at least one of the first input value and the second input value is a specified value, the multiplication accumulation operation of the first MAC cell is disabled.

Abstract: The present disclosure provides a mount for a vehicle that is provided at a portion at which damping performance is desired and that is fastened by a stud bolt. The mount for the vehicle includes a flange into which the stud bolt is inserted and that supports the stud bolt, an insulator configured to surround the flange, a housing coupled to the other one of the vibrating body or the supporting body and to which the insulator is fixed, a chamber formed inside the housing as a space surrounded by the housing and the insulator, and the chamber is filled with a fluid. In addition, the mount for the vehicle includes a damping part mounted on the housing to divide the chamber into two spaces and to be disposed in the chamber. The mount for the vehicle is configured to appropriately absorb vibrations and reduce noise.

Abstract: A PET hydrolase having improved thermal stability is disclosed. The PET hydrolase has a modified amino acid sequence of SEQ ID NO: 2 or a modified amino acid sequence with at least 80% sequence identity of SEQ ID NO: 2, wherein the modification is a substitution of asparagine at position 248 or a corresponding position with proline.

Abstract: A production line for producing components to a high standard of cleanliness and sealed and protected in that state includes a loading device, a cleaning device, a detecting device, a pasting device, a heat-sealing device, a packing device, and transfer devices of the production line. The production line automatically processes the components for obtaining components with the high cleanliness. By the processes of protective film pasting, heat-sealing, and packing, the components may be further protected from subsequent pollution. A method for producing components with a high cleanliness applied to the production line is also disclosed.

Abstract: Various examples are directed to systems and methods for controlling an autonomous vehicle. For example, a navigator system at an autonomous vehicle may generate a plurality of local routes beginning at a vehicle location and extending to a plurality of local route end points. The navigator system may access general route cost data, the general route cost data describing general route costs from the plurality of local route end points to a trip end point. The navigator system may select the first local route of the plurality of routes based at least in part on the general route cost data. A vehicle autonomy system at the autonomous vehicle may begin to control the autonomous vehicle along the first local route.

Abstract: The present disclosure provides a mount for a vehicle that is provided at a portion at which damping performance is desired and that is fastened by a stud bolt. The mount for the vehicle includes a flange into which the stud bolt is inserted and that supports the stud bolt, an insulator configured to surround the flange, a housing coupled to the other one of the vibrating body or the supporting body and to which the insulator is fixed, a chamber formed inside the housing as a space surrounded by the housing and the insulator, and the chamber is filled with a fluid. In addition, the mount for the vehicle includes a damping part mounted on the housing to divide the chamber into two spaces and to be disposed in the chamber. The mount for the vehicle is configured to appropriately absorb vibrations and reduce noise.

Abstract: Techniques are described herein for building a framework for declarative query compilation using both rule-based and cost-based approaches for database management. The framework involves constructing and using: a set of rule-based properties tables that contain optimization parameters for both logical and physical optimization, a recursive algorithm to form candidate physical query plans that is based on the rule based tables, and a cost model for estimating the cost of a generated physical query plan that is used with the rule based properties tables to prune inferior query plans.

Abstract: Embodiments of the present disclosure relate to a method, device and computer program product for managing a service. The method comprises in response to processor credits for the service reaching threshold credits at a first time instant (t1), determining a second time instant when a first operation for the service is to be performed. The method further comprises determining, based on a set of historical processor credits between the first time instant and the second time instant, first processor credits related to a second set of time periods which is between the first time instant and second time instant.

Abstract: According to embodiments of the present disclosure, a method, device and computer program product for job management are proposed. The method comprises: receiving, at a first device, status information of a first job sent by a second device at a first sending time, the first job running on the second device, the status information indicating a completion status of the first job; in accordance with a determination that the status information indicates the first job has not been completed, determining a send distribution period related to at least one second job different from the first job, the send distribution period covering respective sending times when devices running the at least one second job send status information of the at least one second job to the first device; and providing the second device an indication on a second sending time in the send distribution period, to instruct the second device to send further status information of the first job to the first device at the second sending time.

Abstract: A matrix multiplication device and an operation method thereof are provided. The matrix multiplication device includes a plurality of unit circuits. Each of the unit circuits includes a multiplying-adding circuit, a first register, and a second register. A first input terminal and a second input terminal of the multiplying-adding circuit are respectively coupled to a corresponding first input line and a corresponding second input line. An input terminal and an output terminal of the first register are respectively coupled to an output terminal and a third input terminal of the multiplying-adding circuit. The second register is coupled to the first register to receive and temporarily store a multiplication accumulation result. Wherein, the second registers of the unit circuits output the multiplication accumulation results in a column direction in a first output mode, and output the multiplication accumulation results in a row direction in a second output mode.

Abstract: Embodiments utilize trained query performance machine learning (QP-ML) models to predict an optimal compute node cluster size for a given in-memory workload. The QP-ML models include models that predict query task runtimes at various compute node cardinalities, and models that predict network communication time between nodes of the cluster. Embodiments also utilize an analytical model to predict overlap between predicted task runtimes and predicted network communication times. Based on this data, an optimal cluster size is selected for the workload. Embodiments further utilize trained data capacity machine learning (DC-ML) models to predict a minimum number of compute nodes needed to run a workload. The DC-ML models include models that predict the size of the workload dataset in a target data encoding, models that predict the amount of memory needed to run the queries in the workload, and models that predict the memory needed to accommodate changes to the dataset.