Abstract: A processor core is configured to execute a parent task that is described by a data structure stored in a memory. A coprocessor is configured to dispatch a child task to the at least one processor core in response to the coprocessor receiving a request from the parent task concurrently with the parent task executing on the at least one processor core. In some cases, the parent task registers the child task in a task pool and the child task is a future task that is configured to monitor a completion object and enqueue another task associated with the future task in response to detecting the completion object. The future task is configured to self-enqueue by adding a continuation future task to a continuation queue for subsequent execution in response to the future task failing to detect the completion object.

Abstract: Systems, apparatuses, and methods for implementing a multi-kernel wavefront scheduler are disclosed. A system includes at least a parallel processor coupled to one or more memories, wherein the parallel processor includes a command processor and a plurality of compute units. The command processor launches multiple kernels for execution on the compute units. Each compute unit includes a multi-level scheduler for scheduling wavefronts from multiple kernels for execution on its execution units. A first level scheduler creates scheduling groups by grouping together wavefronts based on the priority of their kernels. Accordingly, wavefronts from kernels with the same priority are grouped together in the same scheduling group by the first level scheduler. Next, the first level scheduler selects, from a plurality of scheduling groups, the highest priority scheduling group for execution. Then, a second level scheduler schedules wavefronts for execution from the scheduling group selected by the first level scheduler.

Abstract: Methods, devices, and systems for information communication. Information transmitted from a host to a graphics processing unit (GPU) is received by information analysis circuitry of a field-programmable gate array (FPGA). A pattern in the information is determined by the information analysis circuitry. A predicted information pattern is determined, by the information analysis circuitry, based on the information. An indication of the predicted information pattern is transmitted to the host. Responsive to a signal from the host based on the predicted information pattern, the FPGA is reprogrammed to implement decompression circuitry based on the predicted information pattern. In some implementations, the information includes a plurality of packets. In some implementations, the predicted information pattern includes a pattern in a plurality of packets. In some implementations, the predicted information pattern includes a zero data pattern.

Abstract: Resource access control is described. In accordance with the described techniques, a process (e.g., an application process, a system process, etc.) issues an instruction seeking access to a computation resource (e.g., a processor resource, a memory resource, etc.) to perform a computation task. An execution context for the instruction is checked to determine whether the execution context includes a resource indicator indicating permission to access the processor resource. Alternatively or additionally, the instruction is checked against an access table which identifies processes that are permitted and/or not permitted to access the computation resource.

Abstract: Scheduling processing-in-memory transactions is described. In accordance with the described techniques, a memory controller receives a transaction header from a host, where the transaction header describes a number of operations to be executed by a processing-in-memory component as part of performing the transaction. The memory controller adds the transaction header to a buffer and sends either an acknowledgement message or a negative acknowledgement message to the host, based on a current load of the processing-in-memory component. The acknowledgement message causes the host to send operations of the transaction for execution by the processing-in-memory component and the negative acknowledgement message causes the host to refrain from sending the operations of the transaction for execution by the processing-in-memory component.

Abstract: Process isolation for a PIM device through exclusive locking includes receiving, from a process, a call requesting ownership of a PIM device. The request includes one or more PIM configuration parameters. The exclusive locking technique also includes granting the process ownership of the PIM device responsive to determining that ownership is available. The PIM device is configured according to the PIM configuration parameters.

Abstract: An apparatus that manages multi-process execution in a processing-in-memory (“PIM”) device includes a gatekeeper configured to: receive an identification of one or more registered PIM processes; receive, from a process, a memory request that includes a PIM command; if the requesting process is a registered PIM process and another registered PIM process is active on the PIM device, perform a context switch of PIM state between the registered PIM processes; and issue the PIM command of the requesting process to the PIM device.

Abstract: Process isolation for a PIM device includes: receiving, from a process, a call to allocate a virtual address space where the process stores a PIM configuration context; allocating the virtual address space including mapping a physical address space including PIM device configuration registers to the virtual address space only if the physical address space is not mapped to another process's virtual address space; and programming the PIM device configuration space according to the configuration context. When a PIM command is executed, a translation mechanism determines whether there is a valid mapping of a virtual address of the PIM command to a physical address of a PIM resource, such as a LIS entry. If a valid mapping exists, the translation is completed and the resource is accessed, but if there is not a valid mapping, the translation fails and the process is blocked from accessing the PIM resource.

Abstract: An apparatus includes a memory controller that includes logic to receive a first memory request having a first request type and a second memory request having a second request type. The apparatus also includes a scheduling unit that includes logic to schedule an order of the first and second memory requests for execution based upon a first parameter value and a second parameter value. The first parameter value corresponds to a utility and energy cost for the first memory request and the second parameter value corresponds to a utility and energy cost for the second memory request.

Abstract: Portions of programs, oftentimes referred to as kernels, are written by programmers to target a particular type of compute unit, such as a central processing unit (CPU) core or a graphics processing unit (GPU) core. When executing a kernel, the kernel is separated into multiple parts referred to as workgroups, and each workgroup is provided to a compute unit for execution. Usage of one type of compute unit is monitored and, in response to the one type of compute unit being idle, one or more workgroups targeting another type of compute unit are executed on the one type of compute unit. For example, usage of CPU cores is monitored, and in response to the CPU cores being idle, one or more workgroups targeting GPU cores are executed on the CPU cores.

Abstract: An apparatus that manages multi-process execution in a processing-in-memory (“PIM”) device includes a gatekeeper configured to: receive an identification of one or more registered PIM processes; receive, from a process, a memory request that includes a PIM command; if the requesting process is a registered PIM process and another registered PIM process is active on the PIM device, perform a context switch of PIM state between the registered PIM processes; and issue the PIM command of the requesting process to the PIM device.

Abstract: Process isolation for a PIM device through exclusive locking includes receiving, from a process, a call requesting ownership of a PIM device. The request includes one or more PIM configuration parameters. The exclusive locking technique also includes granting the process ownership of the PIM device responsive to determining that ownership is available. The PIM device is configured according to the PIM configuration parameters.

Abstract: Implementing heterogeneous wavefronts on a graphics processing unit (GPU) is disclosed. A scheduler assigns heterogeneous wavefronts for execution on a compute unit of a processing device. The heterogeneous wavefronts include different types of wavefronts such as vector compute wavefronts and service-level wavefronts that vary in resource requirements and instruction sets. As one example, heterogeneous wavefronts may include scalar wavefronts and vector compute wavefronts that execute on scalar units and vector units, respectively. Distinct sets of instructions are executed for the heterogeneous wavefronts on the compute unit. Heterogeneous wavefronts are processed in the same pipeline of the processing device.

Abstract: A processor includes a task scheduling unit and a compute unit coupled to the task scheduling unit. The task scheduling unit performs a task dependency assessment of a task dependency graph and task data requirements that correspond to each task of the plurality of tasks. Based on the task dependency assessment, the task scheduling unit schedules a first task of the plurality of tasks and a second proxy object of a plurality of proxy objects specified by the task data requirements such that a memory transfer of the second proxy object of the plurality of proxy objects occurs while the first task is being executed.

Abstract: A processor includes a task scheduling unit and a compute unit coupled to the task scheduling unit. The task scheduling unit performs a task dependency assessment of a task dependency graph and task data requirements that correspond to each task of the plurality of tasks. Based on the task dependency assessment, the task scheduling unit schedules a first task of the plurality of tasks and a second proxy object of a plurality of proxy objects specified by the task data requirements such that a memory transfer of the second proxy object of the plurality of proxy objects occurs while the first task is being executed.

Abstract: A processing unit includes one or more processor cores and a set of registers to store configuration information for the processing unit. The processing unit also includes a coprocessor configured to receive a request to modify a memory allocation for a kernel concurrently with the kernel executing on the at least one processor core. The coprocessor is configured to modify the memory allocation by modifying the configuration information stored in the set of registers. In some cases, initial configuration information is provided to the set of registers by a different processing unit. The initial configuration information is stored in the set of registers prior to the coprocessor modifying the configuration information.

Abstract: A processor includes a task scheduling unit and a compute unit coupled to the task scheduling unit. The task scheduling unit performs a task dependency assessment of a task dependency graph and task data requirements that correspond to each task of the plurality of tasks. Based on the task dependency assessment, the task scheduling unit schedules a first task of the plurality of tasks and a second proxy object of a plurality of proxy objects specified by the task data requirements such that a memory transfer of the second proxy object of the plurality of proxy objects occurs while the first task is being executed.

Abstract: An approach provides indirect addressing support for PIM. Indirect PIM commands include address translation information that allows memory modules to perform indirect addressing. Processing logic in a memory module processes an indirect PIM command and retrieves, from a first memory location, a virtual address of a second memory location. The processing logic calculates a corresponding physical address for the virtual address using the address translation information included with the indirect PIM command and retrieves, from the second memory location, a virtual address of a third memory location. This process is repeated any number of times until one or more indirection stop criteria are satisfied. The indirection stop criteria stop the process when work has been completed normally or to prevent errors. Implementations include the processing logic in the memory module working in cooperation with a memory controller to perform indirect addressing.

Abstract: A processing unit includes one or more processor cores and a set of registers to store configuration information for the processing unit. The processing unit also includes a coprocessor configured to receive a request to modify a memory allocation for a kernel concurrently with the kernel executing on the at least one processor core. The coprocessor is configured to modify the memory allocation by modifying the configuration information stored in the set of registers. In some cases, initial configuration information is provided to the set of registers by a different processing unit. The initial configuration information is stored in the set of registers prior to the coprocessor modifying the configuration information.

Abstract: An apparatus that manages multi-process execution in a processing-in-memory (“PIM”) device includes a gatekeeper configured to: receive an identification of one or more registered PIM processes; receive, from a process, a memory request that includes a PIM command; if the requesting process is a registered PIM process and another registered PIM process is active on the PIM device, perform a context switch of PIM state between the registered PIM processes; and issue the PIM command of the requesting process to the PIM device.