Abstract: Technologies for providing efficient data access in an edge infrastructure include a compute device comprising circuitry configured to identify pools of resources that are usable to access data at an edge location. The circuitry is also configured to receive a request to execute a function at an edge location. The request identifies a data access performance target for the function. The circuitry is also configured to map, based on a data access performance of each pool and the data access performance target of the function, the function to a set of the pools to satisfy the data access performance target.

Abstract: The present disclosure relates to a dynamically composable computing system comprising a computing fabric with a plurality of different disaggregated computing hardware resources having respective hardware characteristics. A resource manager has access to the respective hardware characteristics of the different disaggregated computing hardware resources and is configured to assemble a composite computing node by selecting one or more disaggregated computing hardware resources with respective hardware characteristics meeting requirements of an application to be executed on the composite computing node. An orchestrator is configured to schedule the application using the assembled composite computing node.

Abstract: In one embodiment, a circuit board includes: a plurality of layers including interconnects to carry processor-to-processor signaling between a first processor and a second processor; a first connector adapted to a first peripheral portion of the circuit board to couple to a first contact member of the first processor; and a second connector adapted to a second peripheral portion of the circuit board to couple to a first contact member of the second processor. Other embodiments are described and claimed.

Abstract: A group of cache lines in cache may be identified as cache lines not to be flushed to persistent memory until all cache line writes for the group of cache lines have been completed.

Abstract: Various embodiments are generally directed to an apparatus, method and other techniques to receive a request from a core, the request associated with a memory operation to read or write data, and the request comprising a first address and an offset, the first address to identify a memory location of a memory. Embodiments include performing a first iteration of a memory indirection operation comprising reading the memory at the memory location to determine a second address based on the first address, and determining a memory resource based on the second address and the offset, the memory resource to perform the memory operation for the computing resource or perform a second iteration of the memory indirection operation.

Abstract: Technologies for providing remote access to a shared memory pool include a memory sled. The memory sled includes a memory pool having one or more byte-addressable memory devices and a memory pool controller coupled to the memory pool. The memory pool controller is to produce, for each of a plurality of compute sleds, address space data indicative of addresses of byte-addressable memory in the memory pool accessible to the compute sled, and corresponding permissions associated with the addresses. The memory pool controller is also to provide the address space data to each corresponding compute sled and receive, from a requesting compute sled of the plurality of compute sleds, a memory access request. The memory access request includes an address from the address space data to be accessed. The memory pool controller is also to perform, in response to receiving the memory access request, a memory access operation on the memory pool. Other embodiments are also described and claimed.

Abstract: Examples are disclosed for configuring a solid state drive (SSD) to operate in a storage mode or a memory mode. In some examples, one or more configuration commands may be received at a controller for an SSD having one or more non-volatile memory arrays. The SSD may be configured to operate in at least one of a storage mode, a memory mode or a combination of the storage mode or the memory mode based on the one or more configuration commands. Other examples are described and claimed.

Abstract: Technologies for efficiently managing the allocation of memory in a shared memory pool include a memory sled. The memory sled includes a memory pool of byte-addressable memory devices. The memory sled also includes a memory pool controller coupled to the memory pool. The memory pool controller receives a request to provision memory to a compute sled. Further, the memory pool controller maps, in response to the request, each of the memory devices of the memory pool to the compute sled. The memory pool controller additionally assigns access rights to the compute sled as a function of one or more memory characteristics of the compute sled. The memory characteristics are indicative of an amount of memory in the memory pool to be used by the compute sled and the access rights are indicative of access permissions to one or more memory address ranges associated with the one or more memory devices.

Abstract: Technologies for dynamically allocating tiers of disaggregated memory resources include a compute device. The compute device is to obtain target performance data, determine, as a function of target performance data, memory tier allocation data indicative of an allocation of disaggregated memory sleds to tiers of performance, in which one memory sled of one tier is to act as a cache for another memory sled of a subsequent tier, send the memory tier allocation data and the target performance data to the corresponding memory sleds through a network, receive performance notification data from one of the memory sleds in the tiers, and determine, in response to receipt of the performance notification data, an adjustment to the memory tier allocation data.

Abstract: Racks and rack pods to support a plurality of sleds are disclosed herein. Switches for use in the rack pods are also disclosed herein. A rack comprises a plurality of sleds and a plurality of electromagnetic waveguides. The plurality of sleds are vertically spaced from one another. The plurality of electromagnetic waveguides communicate data signals between the plurality of sleds.

Abstract: Data management for edge architected computing systems extends current storage and memory schemes of edge resources to expose interfaces to allow a device, such as an endpoint or client device, or another edge resource, to specify criteria for managing data originating from the device and stored in an edge resource, and extends the storage and memory controllers to manage data in accordance with the criteria, including removing stored data that no longer satisfies the criteria. The criteria includes a temporal hint to specify a time after which the data can be removed, a physical hint to specify a list of edge resources outside of which the data can be removed, an event-based hint to specify an event after which the data can be removed, and a quality of service condition to modify the time specified in the temporal hint based on a condition, such as memory and storage capacity of the edge resource in which the data is managed.

Abstract: The present disclosure relates to a dynamically composable computing system. The dynamically composable computing system comprises at least one compute sled including a set of respective local computing hardware resources; a plurality of disaggregated memory modules; at least one disaggregated memory acceleration logic configured to perform one or more predefined computations on data stored in one or more of the plurality of disaggregated memory modules; and a resource manager module configured to assemble a composite computing node by associating, in accordance with requirements of a user, at least one of the plurality of disaggregated memory modules with the disaggregated memory acceleration logic to provide at least one accelerated disaggregated memory module and connecting the least one accelerated disaggregated memory module to the compute sled.

Abstract: Examples may include sleds for a rack in a data center including physical accelerator resources and memory for the accelerator resources. The memory can be shared between the accelerator resources. One or more memory controllers can be provided to couple the accelerator resources to the memory to provide memory access to all the accelerator resources. Each accelerator resource can include a memory controller to access a portion of the memory while the accelerator resources can be coupled via an out-of-band channel to provide memory access to the other portions of the memory.

Abstract: A semiconductor chip is described. The semiconductor chip includes memory address decoder logic circuitry comprising different memory address bit manipulation paths to respectively impose different memory interleaving schemes for memory accesses directed to artificial intelligence information in a memory and non artificial intelligence information in the memory. The artificial intelligence information is to be processed with artificial intelligence logic circuitry disposed locally to the memory.

Abstract: The present disclosure relates to a dynamically composable computing system comprising a computing fabric with a plurality of different disaggregated computing hardware resources having respective hardware characteristics. A resource manager has access to the respective hardware characteristics of the different disaggregated computing hardware resources and is configured to assemble a composite computing node by selecting one or more disaggregated computing hardware resources with respective hardware characteristics meeting requirements of an application to be executed on the composite computing node. An orchestrator is configured to schedule the application using the assembled composite computing node.

Abstract: Examples relate to a memory controller or memory controller device for a memory pool of a computer system, to a management apparatus or management device for the computer system, and to an apparatus or device for a compute node of the computer system, and to corresponding methods and computer programs. The memory pool comprises computer memory that is accessible to a plurality of compute nodes of the computer system via the memory controller. The memory controller comprises interface circuitry for communicating with the plurality of compute nodes. The memory controller comprises control circuitry being configured to obtain an access control instruction via the interface circuitry. The access control instruction indicates that access to a portion of the computer memory of the memory pool is to be granted to one or more processes being executed by the plurality of compute nodes of the computer system.

Abstract: Examples relate to a method for a memory module, a method for a memory controller, a method for a processor, to a memory module controller device or apparatus, to a memory controller device or apparatus, to a processor device or apparatus, a memory module, a memory controller, a processor, a computer system and a computer program. The method for the memory module comprises obtaining one or more memory write instructions of a group memory write instruction. The group memory write instruction comprises a plurality of memory write instructions to be executed atomically. The one or more memory write instructions relate to one or more memory addresses associated with memory of the memory module. The method comprises executing the one or more memory write instructions using previously unallocated memory of the memory module. The method comprises obtaining a commit instruction for the group memory write instruction.

Abstract: Provided are a method, system, computer readable storage medium, and switch for configuring a switch to assign partitions in storage devices to compute nodes. A management controller configures the switch to dynamically allocate partitions of at least one of the storage devices to the compute nodes based on a workload at the compute node.

Abstract: Techniques and mechanisms for capturing an image of processor state at one node of multiple nodes of a multi-processor platform, where the processor state includes some version of data which the node retrieved from another node of the platform. In an embodiment, a disruption of power is detected when a processor of a first node has a cached version of data which was retrieved from a second node. In response to detection of the disruption, the data is saved to a system memory of the first node as part of an image of the processor's state. The image further comprises address information, corresponding to the data, which indicates a memory location at the second node. In another embodiment, processor state is restored during a boot-up of the node, wherein the state includes the captured version of data which was previously retrieved from the second node.

Abstract: Examples are disclosed for configuring a solid state drive (SSD) to operate in a storage mode or a memory mode. In some examples, one or more configuration commands may be received at a controller for an SSD having one or more non-volatile memory arrays. The SSD may be configured to operate in at least one of a storage mode, a memory mode or a combination of the storage mode or the memory mode based on the one or more configuration commands. Other examples are described and claimed.