There is provided a data processing apparatus comprising decode circuitry responsive to receipt of a block of instructions to generate control signals indicative of each of the block of instructions, and to analyse the block of instructions to detect a potential hazard instruction. The data processing apparatus is provided with decode circuitry to encode information indicative of a clean restart point into the control signals associated with the potential hazard instruction. The data processing apparatus is provided with data processing circuitry to perform out-of-order execution of at least some of the block of instructions, and control circuitry responsive to a determination, at execution of the potential hazard instruction, that data values used as operands for the potential hazard instruction have been modified by out-of-order execution of a subsequent instruction, to restart execution from the clean restart point and to flush held data values from the data processing circuitry.

A method and device for providing a vector stream instruction set architecture extension for a CPU. In one aspect, there is provided a vector stream engine unit comprising: a first fast memory storage for temporarily storing data of vector data streams from a memory for loading into a vector register file; a second fast memory storage for temporarily storing data of the vector data streams from the vector register file for loading into the memory; a prefetcher configured to prefetch data of the vector data streams from the memory into the first fast storage memory, and prefetch data of the vector data streams from the vector register file into the second fast storage memory; and a stream configuration table (SCT) storing stream information for prefetching data from the vector data streams.

A data processing apparatus and method of operating such is disclosed. Issue circuitry buffers operations prior to execution until operands are available in a set of registers. A first and a second load operation are identified in the issue circuitry, when both are dependent on a common operand, and when the common operand is available in the set of registers. Load circuitry has a first address generation unit to generate a first address for the first load operation and a second address generation unit to generate a second address for the second load operation. An address comparison unit compares the first address and the second address. The load circuitry is arranged to cause a merged lookup to be performed in local temporary storage, when the address comparison unit determines that the first and the second address differ by less than a predetermined address range characteristic of the local temporary storage.

Detecting execution hazards in offloaded operations is disclosed. A second offload operation is compared to a first offload operation that precedes the second offload operation. It is determined whether the second offload operation creates an execution hazard on an offload target device based on the comparison of the second offload operation to the first offload operation. If the execution hazard is detected, an error handling operation may be performed. In some examples, the offload operations are processing-in-memory operations.

Methods and systems relating to the field of parallel computing are disclosed herein. The methods and systems disclosed include approaches for sparsity uniformity enforcement for a set of computational nodes which are used to execute a complex computation. A disclosed method includes determining a sparsity distribution in a set of operand data, and generating, using a compiler, a set of instructions for executing, using the set of operand data and a set of processing cores, a complex computation. Alternatively, the method includes altering the operand data. The method also includes distributing the set of operand data to the set of processing cores for use in executing the complex computation in accordance with the set of instructions. Either the altering is conducted to, or the compiler is programmed to, balance the sparsity distribution among the set of processing cores.

Systems, apparatuses, and methods for implementing continuation analysis tasks (CATs) are disclosed. In one embodiment, a system implements hardware acceleration of CATs to manage the dependencies and scheduling of an application composed of multiple tasks. In one embodiment, a continuation packet is referenced directly by a first task. When the first task completes, the first task enqueues a continuation packet on a first queue. The first task can specify on which queue to place the continuation packet. The agent responsible for the first queue dequeues and executes the continuation packet which invokes an analysis phase which is performed prior to determining which dependent tasks to enqueue. If it is determined during the analysis phase that a second task is now ready to be launched, the second task is enqueued on one of the queues. Then, an agent responsible for this queue dequeues and executes the second task.

An instruction execution method, apparatus and device, and a storage medium are provided. According to the method, normal execution of the instructions without an execution dependency relationship in the batch processing process is ensured, and meanwhile, ordered execution of the instructions with the execution dependency relationship is ensured, and then the correctness of instruction execution results is ensured. In addition, the present application further provides an instruction execution apparatus and device and a storage medium, and the beneficial effects are the same as described above.

Embodiments of systems and methods for platform framework telemetry are described. In some embodiments, an Information Handling System (IHS) may include a processor and a memory coupled to the processor, the memory having program instructions stored thereon that, upon execution, cause the IHS to: receive telemetry data at a telemetry service from at least one producer registered with a platform framework via an Application Programming Interface (API); receive a request for at least a subset of the telemetry data from a consumer registered with the platform framework via the API; and transmit the subset of the telemetry data to the consumer.

A method for operation of a processor core is provided. First instruction data is consulted to determine whether a second instruction has execution data that matches the first instruction data. The first instruction data is from a first instruction. In response to determining that the second instruction has execution data that matches the first instruction data, prior data is copied into the second instruction. The first instruction depends on the prior data. After receiving an availability indication of the prior data, both the first instruction and the second instruction are woken for execution, without requiring execution of the first instruction before waking of the second instruction. The second instruction is executed by using the prior data as a skip of the first instruction. A computer system and a processor core configured to operate according to the method are also disclosed herein.

A first processor processes an instruction configured to perform a plurality of functions. The plurality of functions includes one or more functions to operate on one or more tensors. A determination is made of a function of the plurality of functions to be performed. The first processor provides to a second processor information related to the function. The second processor is to perform the function. The first processor and the second processor share memory providing memory coherence.