Abstract: A method includes receiving a first request to allocate a line in an N-way set associative cache and, in response to a cache coherence state of a way indicating that a cache line stored in the way is invalid, allocating the way for the first request. The method also includes, in response to no ways in the set having a cache coherence state indicating that the cache line stored in the way is invalid, randomly selecting one of the ways in the set. The method also includes, in response to a cache coherence state of the selected way indicating that another request is not pending for the selected way, allocating the selected way for the first request.

Abstract: A system predicts metadata attributes associated with documents using machine learning models. The document may represent an interaction between entities. The system trains machine learning models to predict scores indicating whether a token or a sequence of token of a document represents a metadata attribute. The metadata prediction is used to annotate the document and display to users. The system receives user feedback via the user interface and uses the user feedback to evaluate or retrain the model. The system generates training data by receiving a set of annotated documents and comparing the annotated documents against other documents to identify matching documents. The system determines when to execute the machine learning based metadata prediction based on steps of document workflow executed by the system.

Abstract: A system predicts metadata attributes associated with documents using machine learning models. The document may represent an interaction between entities. The system trains machine learning models to predict scores indicating whether a token or a sequence of token of a document represents a metadata attribute. The metadata prediction is used to annotate the document and display to users. The system receives user feedback via the user interface and uses the user feedback to evaluate or retrain the model. The system generates training data by receiving a set of annotated documents and comparing the annotated documents against other documents to identify matching documents. The system determines when to execute the machine learning based metadata prediction based on steps of document workflow executed by the system.

Abstract: A system predicts metadata attributes associated with documents using machine learning models. The document may represent an interaction between entities. The system trains machine learning models to predict scores indicating whether a token or a sequence of token of a document represents a metadata attribute. The metadata prediction is used to annotate the document and display to users. The system receives user feedback via the user interface and uses the user feedback to evaluate or retrain the model. The system generates training data by receiving a set of annotated documents and comparing the annotated documents against other documents to identify matching documents. The system determines when to execute the machine learning based metadata prediction based on steps of document workflow executed by the system.

Abstract: Disclosed are data processing systems, user interfaces, application programming interfaces, and related operations for the construction, selection, and display of content relevant to commodity pricing scenarios. In some implementations, a system may obtain pricing values associated with a commodity, and identify (e.g., generate or retrieve) content phrases (e.g., sentences such as comments or interjections) that correspond to the pricing values. The system may determine a relevance weight for each of the identified content phrases, the relevance weight being generated from properties associated with the customer and the respective content phrases. The system may select a subset of the content phrases for output in a user interface, based on the determined relevance weight for the content phrases and rules for output of the content phrases. The system may provide the selected subset of the multiple content phrases to a computing device, for output to the customer in the user interface.

Abstract: Methods and systems for generating physiological metrics for display on a computing device are disclosed herein. In some implementations, an exemplary system comprises a torso wearable device including a wireless transmitter and a sensor, and non-transitory computer-readable media (CRM). The CRM, when executed by a computing device in communication with the wireless transmitter, can perform operations comprising: receiving the input signals representing respiration of the user; displaying a graphical user interface to the user; receiving one or more user inputs associated with a desired metric; displaying on the graphical user interface a first visualization corresponding to the desired metric; and displaying on the graphical user interface a second visualization corresponding to a physiological metric based on the input signals generated from the sensor. The second visualization can change in real time based on real time angular displacement of the sensor in response to the respiration of the user.

Abstract: In described examples, a coherent memory system includes a central processing unit (CPU), and first and second level caches, each with a cache controller. The CPU is arranged to execute program instructions to manipulate data in at least a first or second secure context. Each of the first and second caches stores a secure code for indicating the secure context by which data for a respective cache line is received. The first and second level caches maintain coherency in response to comparing the secure codes of respective lines of cache and executing a cache coherency operation in response. A requestor coupled to the second level cache may send a coherence read transaction to the second level cache controller, which upon an affirmative security check, generates a snoop read transaction and sends the same to the first level cache.

Abstract: A reclosable enclosure includes front and back panels and a reclosable mechanism. The front panel and the back panel are coupled to each other and form an interior cavity therebetween. The front panel is configured to form an access slot that extends widthwise along the front panel. The reclosable mechanism is coupled to an interior side of the front panel along the access slot. The reclosable mechanism has a first profile and a second profile forming a zipper. The first profile includes a user tab that is accessible through the access slot. The user tab is configured to assist in separating the first and second profiles to provide an opening to the interior cavity of the reclosable enclosure.

Abstract: A method of forming a tungsten-containing layer over a substrate includes a) positioning a substrate on a substrate support in a process volume of a process chamber; b) providing a precursor gas to the process volume of the process chamber for a first duration; and c) providing a tungsten-containing gas to the process volume of the process chamber by opening a pulsing valve on a tungsten-containing gas delivery line for a second duration occurring after the first duration to form a tungsten-containing layer on the substrate. The tungsten-containing gas delivery line includes a first section connected to an inlet of the pulsing valve and a second section connected to an outlet of the pulsing valve, the first section connects the inlet of the pulsing valve to a reservoir of tungsten-containing gas, the second section connects the outlet of the pulsing valve to an inlet of the process chamber.

Abstract: Various embodiments enable a memory sub-system to perform a read operation based on consolidated memory region description data, which can be generated based on a memory region description data (e.g., SGL) provided by a host system for the read operation.

Abstract: Environmentally friendly refrigerant blends utilizing refrigerants including 2,3,3,3-tetrafluoropropene (HFO-1234yf) and 1,1-difluoroethane (HFC-152a). The blends have low GWP, low toxicity, and low flammability with low temperature glide for use in a hybrid, mild hybrid, plug-in hybrid, or full electric vehicles for thermal management (transferring heat from one part of the vehicle to the other) of the passenger compartment providing air conditioning (A/C) or heating to the passenger cabin.

Abstract: In a method for cathodically protecting and/or passivating a metal section in an ionically conductive material such as steel reinforcement in concrete or mortar, an impressed current or sacrificial anode communicates electrical current to the metal section and a storage component of electrical energy which can be a cell, battery or capacitor is provided as a component of the anode. The storage component can have replacement energy introduced by re-charging or replacing the component from an outside supply. Typically the cell or storage capacitor has an outer case which carries an anode material as an integral outer component.

Abstract: An apparatus includes a central processing unit (CPU) core and a cache subsystem coupled to the CPU core. The cache subsystem includes a first memory, a second memory, and a controller coupled to the first and second memories. The controller is configured to receive a transaction from a master, the transaction directed to the first memory and comprising an address; re-calculate an error correcting code (ECC) for a line of data in the second memory associated with the address; determine that a non-correctable error is present in the line of data in the second memory based on a comparison of the re-calculated ECC and a stored ECC for the line of data; and in response to the determination that a non-correctable error is present in the line of data in the second memory, terminate the transaction without accessing the first memory.

Abstract: A method includes receiving, by a first stage in a pipeline, a first transaction from a previous stage in pipeline; in response to first transaction comprising a high priority transaction, processing high priority transaction by sending high priority transaction to a buffer; receiving a second transaction from previous stage; in response to second transaction comprising a low priority transaction, processing low priority transaction by monitoring a full signal from buffer while sending low priority transaction to buffer; in response to full signal asserted and no high priority transaction being available from previous stage, pausing processing of low priority transaction; in response to full signal asserted and a high priority transaction being available from previous stage, stopping processing of low priority transaction and processing high priority transaction; and in response to full signal being de-asserted, processing low priority transaction by sending low priority transaction to buffer.

Abstract: In described examples, a processor system includes a processor core generating memory transactions, a lower level cache memory with a lower memory controller, and a higher level cache memory with a higher memory controller having a memory pipeline. The higher memory controller is connected to the lower memory controller by a bypass path that skips the memory pipeline. The higher memory controller: determines whether a memory transaction is a bypass write, which is a memory write request indicated not to result in a corresponding write being directed to the higher level cache memory; if the memory transaction is determined a bypass write, determines whether a memory transaction that prevents passing is in the memory pipeline; and if no transaction that prevents passing is determined to be in the memory pipeline, sends the memory transaction to the lower memory controller using the bypass path.