Abstract: Approaches are provided for implementing hardware-software collaborative address mapping schemes that enable mapping data elements which are accessed together in the same row of one bank or over the same rows of different banks to achieve higher performance by reducing row conflicts. Using an intra-bank frame striping policy (IBFS), corresponding subsets of data elements are interleaved into a single row of a bank. Using an intra-channel frame striping policy (ICFS), corresponding subsets of data elements are interleaved into a single channel row of a channel. A memory controller utilizes ICFS and/or IBFS to efficiently store and access data elements in memory, such as processing-in-memory (PIM) enabled memory.

Abstract: An approach is provided for reducing command bus traffic between memory controllers and PIM-enabled memory modules using special PIM commands. The term “special PIM command” is used herein to describe embodiments and refers to a PIM command for which the corresponding module-specific command information is provided to memory modules via a non-command bus data path. A memory controller generates and issues a special PIM command to multiple PIM-enabled memory modules via a command bus and provides module-specific command information (e.g., address information) for the special PIM command to the PIM-enabled memory modules via the non-command bus data path that is shared by the PIM-enabled memory modules and the memory controller.

Abstract: A memory controller may be configured with command logic that is capable of sending a memory access command having incomplete address information via a command/address bus that connects the memory controller to memory modules. The memory controller may send the memory access command via the bus for accessing data stored at memory locations of the memory modules. The memory locations may correspond to different near-memory generated reflecting that the data is not address aligned across the memory modules. Nonetheless, because of the near-memory address generation, the memory controller can send the memory access command having incomplete address information for accessing the data stored at the different addresses, as opposed to having to send multiple memory access commands specifying complete address information on the bus for accessing the data at the different addresses, thereby conserving usage of the available bus bandwidth, reducing power consumption, and increasing compute throughput.

Abstract: An approach is provided for reducing command bus traffic between memory controllers and PIM-enabled memory modules using special PIM commands. The term “special PIM command” is used herein to describe embodiments and refers to a PIM command for which the corresponding module-specific command information is provided to memory modules via a non-command bus data path. A memory controller generates and issues a special PIM command to multiple PIM-enabled memory modules via a command bus and provides module-specific command information (e.g., address information) for the special PIM command to the PIM-enabled memory modules via the non-command bus data path that is shared by the PIM-enabled memory modules and the memory controller.

Abstract: A memory controller may be configured with command logic that is capable of sending a memory access command having incomplete address information via a command/address bus that connects the memory controller to memory modules. The memory controller may send the memory access command via the bus for accessing data stored at memory locations of the memory modules. The memory locations may correspond to different near-memory generated reflecting that the data is not address aligned across the memory modules. Nonetheless, because of the near-memory address generation, the memory controller can send the memory access command having incomplete address information for accessing the data stored at the different addresses, as opposed to having to send multiple memory access commands specifying complete address information on the bus for accessing the data at the different addresses, thereby conserving usage of the available bus bandwidth, reducing power consumption, and increasing compute throughput.

Abstract: 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.

Abstract: Memory operations using compound memory commands, including: receiving, by a memory module, a compound memory command indicating one or more operations to be applied to each portion of a plurality of portions of contiguous memory in the memory module; generating, based on the compound memory command, a plurality of memory commands to apply the one or more operations to each portion of the plurality of portions of contiguous memory; and executing the plurality of memory commands.

Abstract: Memory allocation for processing-in-memory operations, including: receiving, by an allocation module, a memory allocation request indicating a plurality of data structure operands for a processing-in-memory operation; determining a memory allocation pattern for the plurality of data structure operands, wherein the memory allocation pattern interleaves a plurality of component pages of a memory page across the plurality of data structure operands; and allocating the memory page based on the determined memory allocation pattern.

Abstract: Techniques are provided for performing memory operations. The techniques include issuing, by a processor, a fence primitive to a memory system, the fence primitive issued in a manner that indicates a program order of memory operation execution.

Abstract: An approach is provided for implementing near-memory data reduction during store operations to off-chip or off-die memory. A Near-Memory Reduction (NMR) unit provides near-memory data reduction during write operations to a specified address range. The NMR unit is configured with a range of addresses to be reduced and when a store operation specifies an address within the range of addresses, the NRM unit performs data reduction by adding the data value specified by the store operation to an accumulated reduction result. According to an embodiment, the NRM unit maintains a count of the number of updates to the accumulated reduction result that are used to determine when data reduction has been completed.

Abstract: A processing device is provided which comprises memory configured to store data and a plurality of processor cores in communication with each other via first and second hierarchical communication links. Processor cores of a first hierarchical processor core group are in communication with each other via the first hierarchical communication links and are configured to store, in the memory, a sub-portion of data of a first matrix and a sub-portion of data of a second matrix. The processor cores are also configured to determine a product of the sub-portion of data of the first matrix and the sub-portion of data of the second matrix, receive, from another processor core, another sub-portion of data of the second matrix and determine a product of the sub-portion of data of the first matrix and the other sub-portion of data of the second matrix.

Abstract: An approach is provided for implementing near-memory data reduction during store operations to off-chip or off-die memory. A Near-Memory Reduction (NMR) unit provides near-memory data reduction during write operations to a specified address range. The NMR unit is configured with a range of addresses to be reduced and when a store operation specifies an address within the range of addresses, the NRM unit performs data reduction by adding the data value specified by the store operation to an accumulated reduction result. According to an embodiment, the NRM unit maintains a count of the number of updates to the accumulated reduction result that are used to determine when data reduction has been completed.

Abstract: A processing device is provided which comprises memory configured to store data and a plurality of processor cores in communication with each other via first and second hierarchical communication links. Processor cores of a first hierarchical processor core group are in communication with each other via the first hierarchical communication links and are configured to store, in the memory, a sub-portion of data of a first matrix and a sub-portion of data of a second matrix. The processor cores are also configured to determine a product of the sub-portion of data of the first matrix and the sub-portion of data of the second matrix, receive, from another processor core, another sub-portion of data of the second matrix and determine a product of the sub-portion of data of the first matrix and the other sub-portion of data of the second matrix.

Abstract: A processing device is provided which includes memory and a processor comprising a plurality of processor cores in communication with each other via first and second hierarchical communication links. Each processor core in a group of the processor cores is in communication with each other via the first hierarchical communication links. Each processor core is configured to store, in the memory, one of a plurality of sub-portions of data of a first matrix, store, in the memory, one of a plurality of sub-portions of data of a second matrix, determine an outer product of the sub-portion of data of the first matrix and the sub-portion of data of the second matrix, receive, from another processor core of the group of processor cores, another sub-portion of data of the second matrix and determine another outer product of the sub-portion of data of the first matrix and the other sub-portion of data of the second matrix.

Abstract: Methods, systems, and devices for near-memory data-dependent gathering and packing of data stored in a memory. A processing device extracts a function, a memory source address, and a memory destination address from a near-memory data-dependent gathering and packing primitive. A signal to perform gathering and packing operations based on the primitive is sent to near-memory processing circuitry of a memory device. The near-memory processing circuitry receives the signal, gathers data from the memory device based on the function and the memory source address, and packs the gathered data into the memory device based on the memory destination address.

Abstract: A processing device is provided which comprises memory configured to store data and a plurality of processor cores in communication with each other via first and second hierarchical communication links. Processor cores of a first hierarchical processor core group are in communication with each other via the first hierarchical communication links and are configured to store, in the memory, a sub-portion of data of a first matrix and a sub-portion of data of a second matrix. The processor cores are also configured to determine a product of the sub-portion of data of the first matrix and the sub-portion of data of the second matrix, receive, from another processor core, another sub-portion of data of the second matrix and determine a product of the sub-portion of data of the first matrix and the other sub-portion of data of the second matrix.

Abstract: A processing device is provided which includes memory and a processor comprising a plurality of processor cores in communication with each other via first and second hierarchical communication links. Each processor core in a group of the processor cores is in communication with each other via the first hierarchical communication links. Each processor core is configured to store, in the memory, one of a plurality of sub-portions of data of a first matrix, store, in the memory, one of a plurality of sub-portions of data of a second matrix, determine an outer product of the sub-portion of data of the first matrix and the sub-portion of data of the second matrix, receive, from another processor core of the group of processor cores, another sub-portion of data of the second matrix and determine another outer product of the sub-portion of data of the first matrix and the other sub-portion of data of the second matrix.

Abstract: Methods, systems, and devices for near-memory data-dependent gathering and packing of data stored in a memory. A processing device extracts a function, a memory source address, and a memory destination address from a near-memory data-dependent gathering and packing primitive. A signal to perform gathering and packing operations based on the primitive is sent to near-memory processing circuitry of a memory device. The near-memory processing circuitry receives the signal, gathers data from the memory device based on the function and the memory source address, and packs the gathered data into the memory device based on the memory destination address.

Abstract: A system that executes private enclave functions in a secure high-performance host processor connected to an enhanced memory unit through a conventional memory bus using a packetized interface is disclosed. The logic layer of the enhanced memory unit is included in a trusted computing base (TCB) and is used to implement cryptographic functions. Storage layers of the enhanced memory unit remain outside the TCB and are used to store encrypted data and associated meta-data.

Abstract: A system that executes private enclave functions in a secure high-performance host processor connected to an enhanced memory unit through a conventional memory bus using a packetized interface is disclosed. The logic layer of the enhanced memory unit is included in a trusted computing base (TCB) and is used to implement cryptographic functions. Storage layers of the enhanced memory unit remain outside the TCB and are used to store encrypted data and associated meta-data.