Systems, apparatuses, and methods for dynamic graphics processing unit (GPU) register allocation are disclosed. A GPU includes at least a plurality of compute units (CUs), a control unit, and a plurality of registers for each CU. If a new wavefront requests more registers than are currently available on the CU, the control unit spills registers associated with stack frames at the bottom of a stack since they will not likely be used in the near future. The control unit has complete flexibility determining how many registers to spill based on dynamic demands and can prefetch the upcoming necessary fills without software involvement. Effectively, the control unit manages the physical register file as a cache. This allows younger workgroups to be dynamically descheduled so that older workgroups can allocate additional registers when needed to ensure improved fairness and better forward progress guarantees.

A memory controller component of a memory system stores memory access requests within a transaction queue until serviced so that, over time, the transaction queue alternates between occupied and empty states. The memory controller transitions the memory system to a low power mode in response to detecting the transaction queue is has remained in the empty state for a predetermined time. In the transition to the low power mode, the memory controller disables oscillation of one or more timing signals required to time data signaling operations within synchronous communication circuits of one or more attached memory devices and also disables one or more power consuming circuits within the synchronous communication circuits of the one or more memory devices.

Embodiments are disclosed for providing workout recommendations based on monitored user inputs with a digital design system. In particular, in one or more embodiments, the disclosed systems and methods comprise receiving a series of inputs performed by a user with an application, categorizing each input in the series of inputs into a user interaction type, where each of the plurality of user interaction types is associated with a counter maintaining a detected user input count, determining that a first counter associated with a first user interaction type has exceeded a threshold amount, identifying a first action associated with the first user interaction type, and providing a notification message including information associated with the first action.

Systems, methods, and computer-readable media are disclosed for an improved database. The systems, methods, and computer-readable media described herein may enhance the response time of databases and improve user experiences. In an example method described herein, a database monitoring system may receive instructions to perform one or more data monitoring operations comprising counting an occurrence of a first value within at least a portion of items stored in a database. The method may include determining a length of a first window of time and fetching, from a first location of a data store of the database, data indicative of a total count of the occurrence of the first value at a time associated with the beginning of the first window of time. In turn, the monitoring system may store data representing the first count in the first memory.

Example techniques for adaptive time window-based log message deduplication are described. In an example, message values are obtained from received log messages. Further, the number of log messages received in a time window having a message value is counted. A log message from which the message value is obtained and the counted number are transmitted upon expiry of the time window. A length of a time window in which a subsequent counting of log messages is to be performed is determined based on various parameters.

Topology discovery of a target system having a plurality of components coupled with a scan topology may be performed by driving a low logic value on the data input signal and a data output signal of the scan topology. An input data value and an output data value for each of the plurality of components is sampled and recorded. A low logic value is then scanned through the scan path and recorded at each component. The scan topology may be determined based on the recorded data values and the recorded scan values.

Embodiments disclosed herein provide for monitoring performance of a processing device to manage non-precise events. A processing device includes a performance counter to track a non-precise event and to increment upon occurrence of the non-precise event, wherein the non-precise event comprises a first type of performance event that is not linked to an instruction in an instruction trace. The processing device also includes a first handler circuit to generate and store a first record, the first record comprising architectural metadata defining a state of the processing device at a time of generation of the first record, wherein the first handler circuit to generate records corresponding to precise events. The processing device further includes a second handler circuit communicably coupled to the first handler circuit, the second handler circuit to cause the first handler circuit to generate a second record for the non-precise event upon overflow of the performance counter.

One example of a system includes a plurality of clients, a master chunk coordinator, and a plurality of chunk servers. Each client submits requests to access chunks of objects. The master chunk coordinator maintains chunk information for each object. Each chunk server includes a chunk monitor to monitor client requests, maintain chunk statistics for each chunk based on the monitoring, and transmit the chunk statistics for each chunk to the master chunk coordinator. The master chunk coordinator instructs the chunk servers to re-chunk objects, replicate chunks, migrate chunks, and resize chunks based on the chunk statistics to meet specified parameters.

In accordance with embodiments disclosed herein, there is provided systems and methods for monitoring performance of a processor to manage events. A processor includes a first performance counter to increment upon occurrence of a first type of event in the processor and a second performance counter to increment upon occurrence of a second type of event in the processor. The processor is to reset the second performance counter in response to the first performance counter reaching a first limit.

An instrumentation analysis system processes data streams by executing instructions specified using a data stream language program. The data stream language allows users to specify a search condition using a find block for identifying the set of data streams processed by the data stream language program. The set of identified data streams may change dynamically. The data stream language allows users to group data streams into sets of data streams based on distinct values of one or more metadata attributes associated with the input data streams. The data stream language allows users to specify a threshold block for determining whether data values of input data streams are outside boundaries specified using low/high thresholds. The elements of the set of data streams input to the threshold block can dynamically change. The low/high threshold values can be specified as data streams and can dynamically change.