Abstract: Systems and techniques for performing multicast-reduction operations. In at least one embodiment, a network device receives first network data associated with a multicast operation to be collectively performed by at least a plurality of endpoints. The network device reserves resources to process second network data to be received from the endpoints, and sends the first network data to a plurality of additional network devices. The network device receives the second network data, and processes the second network data using the reserved resources.

Abstract: Systems and techniques for performing multicast-reduction operations. In at least one embodiment, a network device receives first network data associated with a multicast operation to be collectively performed by at least a plurality of endpoints. The network device reserves resources to process second network data to be received from the endpoints, and sends the first network data to a plurality of additional network devices. The network device receives the second network data, and processes the second network data using the reserved resources.

Abstract: Systems and techniques for performing multicast-reduction operations. In at least one embodiment, a network device receives first network data associated with a multicast operation to be collectively performed by at least a plurality of endpoints. The network device reserves resources to process second network data to be received from the endpoints, and sends the first network data to a plurality of additional network devices. The network device receives the second network data, and processes the second network data using the reserved resources.

Abstract: Various embodiments include techniques for performing self-synchronizing remote memory operations in a multiprocessor computing system. During a remote memory operation in the multiprocessor computing system, a source processing unit transmits multiple segments of data to a destination processing. For each segment of data, the source processing unit transmits a remote memory operation to the destination processing unit that includes associated metadata that identifies the memory location of a corresponding synchronization object. The remote memory operation along with the metadata is transmitted as a single unit to the destination processing unit. The destination processing unit splits the operation into the remote memory operation and the memory synchronization operation. As a result, the source processing unit avoids the need to perform a separate memory synchronization operation, thereby reducing inter-processor communications and increasing performance of remote memory operations.

Abstract: Apparatuses, systems, and techniques are presented to configure computing resources to perform various tasks. In at least one embodiment, an approach presented herein can be used to verify whether a network of computing nodes is properly configured based, at least in part, on one or more expected data strings generated by the network of computing nodes.

Abstract: A method and system for providing memory in a computer system. The method includes receiving a memory access request for a shared memory address from a processor, mapping the received memory access request to at least one virtual memory pool to produce a mapping result, and providing the mapping result to the processor.

Abstract: Fabric Attached Memory (FAM) provides a pool of memory that can be accessed by one or more processors, such as a graphics processing unit(s) (GPU)(s), over a network fabric. In one instance, a technique is disclosed for using imperfect processors as memory controllers to allow memory, which is local to the imperfect processors, to be accessed by other processors as fabric attached memory. In another instance, memory address compaction is used within the fabric elements to fully utilize the available memory space.

Abstract: A method and system for allocating memory to a memory operation executed by a processor in a computer arrangement having a plurality of processors. The method includes receiving a memory operation from a processor that references an address in a shared memory, mapping the received memory operation to at least one virtual memory pool to produce a mapping result, and providing the mapping result to the processor.

Abstract: In various examples, a single notification (e.g., a request for a memory access operation) that a processing element (PE) has reached a synchronization barrier may be propagated to multiple physical addresses (PAs) and/or devices associated with multiple processing elements. Thus, the notification may allow an indication that the processing element has reached the synchronization barrier to be recoded at multiple targets. Each notification may access the PAs of each PE and/or device of a barrier group to update a corresponding counter. The PEs and/or devices may poll or otherwise use the counter to determine when each PE of the group has reached the synchronization barrier. When a corresponding counter indicates synchronization at the synchronization barrier, a PE may proceed with performing a compute task asynchronously with one or more other PEs until a subsequent synchronization barrier may be reached.

Abstract: In various examples, a memory model may support multicasting where a single request for a memory access operation may be propagated to multiple physical addresses associated with multiple processing elements (e.g., corresponding to respective local memory). Thus, the request may cause data to be read from and/or written to memory for each of the processing elements. In some examples, a memory model exposes multicasting to processes. This may include providing for separate multicast and unicast instructions or shared instructions with one or more parameters (e.g., indicating a virtual address) being used to indicate multicasting or unicasting. Additionally or alternatively, whether a request(s) is processed using multicasting or unicasting may be opaque to a process and/or application or may otherwise be determined by the system. One or more constraints may be imposed on processing requests using multicasting to maintain a coherent memory interface.

Abstract: Apparatuses, systems, and techniques to multicast a transaction to a group of targets. In at least one embodiment, a set is selected from alternate sets of directives associated with the group of targets, and the transaction is transmitted to the group of targets in accordance with the selected set.

Abstract: Fabric Attached Memory (FAM) provides a pool of memory that can be accessed by one or more processors, such as a graphics processing unit(s) (GPU)(s), over a network fabric. In one instance, a technique is disclosed for using imperfect processors as memory controllers to allow memory, which is local to the imperfect processors, to be accessed by other processors as fabric attached memory. In another instance, memory address compaction is used within the fabric elements to fully utilize the available memory space.

Abstract: Introduced herein is a routing technique that, for example, routes a transaction to a destination port over a network that supports link aggregation and multi-port connection. In one embodiment, two tables that can be searched based on the target and supplemental routing IDs of the transaction are utilized to route the transaction to the proper port of the destination endpoint. In an embodiment, the first table provides a list of available ports at each hop/route point that can route the transaction to the destination endpoint, and the second table provides a supplemental routing ID that can select a specific group of ports from the first table that can correctly route the transaction to the proper port.

Abstract: A method and system for allocating memory to a memory operation executed by a processor in a computer arrangement having a plurality of processors. The method includes receiving a memory operation from a processor that references an address in a shared memory, mapping the received memory operation to at least one virtual memory pool to produce a mapping result, and providing the mapping result to the processor.

Abstract: Fabric Attached Memory (FAM) provides a pool of memory that can be accessed by one or more processors, such as a graphics processing unit(s) (GPU)(s), over a network fabric. In one instance, a technique is disclosed for using imperfect processors as memory controllers to allow memory, which is local to the imperfect processors, to be accessed by other processors as fabric attached memory. In another instance, memory address compaction is used within the fabric elements to fully utilize the available memory space.

Abstract: A method and system for allocating memory to a memory operation executed by a processor in a computer arrangement having a plurality of processors. The method includes receiving a memory operation from a processor that receives a memory operation from a processor that references an address in a shared memory, mapping the received memory operation to at least one of a plurality of virtual memory pools to produce a mapping result, and providing the mapping result to the processor.

Abstract: Multiple processors are often used in computing systems to solve very large, complex problems, such as those encountered in artificial intelligence. Such processors typically exchange data among each other via an interconnect fabric (such as, e.g., a group of network connections and switches) in solving such complex problems. The amount of data injected into the interconnect fabric by the processors can at times overwhelm the interconnect fabric preventing some of the processors from communicating with each other. To address this problem, techniques are disclosed to enable, for example, processors that are connected to an interconnect fabric to coordinate and control the amount of data injected so that the interconnect fabric does not get overwhelmed.

Abstract: An endpoint in a network may make posted or non-posted write requests to another endpoint in the network. For a non-posted write request, the target endpoint provides a response to the requesting endpoint indicating that the write request has been serviced. For a posted write request, the target endpoint does not provide such an acknowledgment. Hence, posted write requests have lower overhead, but they suffer from potential synchronization and resiliency issues. While non-posted write requests do not have those issues, they cause increased load on the network because such requests require the target endpoint to acknowledge each write request. Introduced herein is a network operation technique that uses non-posted transactions while maintaining a load overhead of the network as a manageable level. The introduced technique reduces the load overhead of the non-posted write requests by collapsing and reducing a number of the responses.

Abstract: Fabric Attached Memory (FAM) provides a pool of memory that can be accessed by one or more processors, such as a graphics processing unit(s) (GPU)(s), over a network fabric. In one instance, a technique is disclosed for using imperfect processors as memory controllers to allow memory, which is local to the imperfect processors, to be accessed by other processors as fabric attached memory. In another instance, memory address compaction is used within the fabric elements to fully utilize the available memory space.

Abstract: An endpoint in a network may make posted or non-posted write requests to another endpoint in the network. For a non-posted write request, the target endpoint provides a response to the requesting endpoint indicating that the write request has been serviced. For a posted write request, the target endpoint does not provide such an acknowledgment. Hence, posted write requests have lower overhead, but they suffer from potential synchronization and resiliency issues. While non-posted write requests do not have those issues, they cause increased load on the network because such requests require the target endpoint to acknowledge each write request. Introduced herein is a network operation technique that uses non-posted transactions while maintaining a load overhead of the network as a manageable level. The introduced technique reduces the load overhead of the non-posted write requests by collapsing and reducing a number of the responses.