Abstract: Systems, apparatuses and methods may provide for technology that conducts a traversal of a directed graph in response to a query, retrieves the plurality of vectors from a dynamic random access memory (DRAM) in accordance with the traversal of the directed graphs, wherein each vector in the plurality of vectors is compressed, decompresses the plurality of vectors, determines a similarity between the query and the decompressed plurality of vectors, and generates a response to the query based on the similarity between the query and the decompressed plurality of vectors.

Abstract: Embodiments described herein provide for an instruction and associated logic to enable a vector multiply add instructions with automatic zero skipping for sparse input. One embodiment provides for a general-purpose graphics processor comprising logic to perform operations comprising fetching a hardware macro instruction having a predicate mask, a repeat count, and a set of initial operands, where the initial operands include a destination operand and multiple source operands. The hardware macro instruction is configured to perform one or more multiply/add operations on input data associated with a set of matrices.

Abstract: Embodiments described herein provide for an instruction and associated logic to enable a vector multiply add instructions with automatic zero skipping for sparse input. One embodiment provides for a general-purpose graphics processor comprising logic to perform operations comprising fetching a hardware macro instruction having a predicate mask, a repeat count, and a set of initial operands, where the initial operands include a destination operand and multiple source operands. The hardware macro instruction is configured to perform one or more multiply/add operations on input data associated with a set of matrices.

Abstract: Embodiments described herein provide for an instruction and associated logic to enable a vector multiply add instructions with automatic zero skipping for sparse input. One embodiment provides for a general-purpose graphics processor comprising logic to perform operations comprising fetching a hardware macro instruction having a predicate mask, a repeat count, and a set of initial operands, where the initial operands include a destination operand and multiple source operands. The hardware macro instruction is configured to perform one or more multiply/add operations on input data associated with a set of matrices.

Abstract: Embodiments described herein provide for an instruction and associated logic to enable a vector multiply add instructions with automatic zero skipping for sparse input. One embodiment provides for a general-purpose graphics processor comprising logic to perform operations comprising fetching a hardware macro instruction having a predicate mask, a repeat count, and a set of initial operands, where the initial operands include a destination operand and multiple source operands. The hardware macro instruction is configured to perform one or more multiply/add operations on input data associated with a set of matrices.

Abstract: Provided are a memory system, device, and method for determining to send a refresh command to a memory module according to a refresh rate and incrementing a postponed refresh count while the memory module is in an active mode in response to the determining to send the refresh command. The refresh command is not sent to the memory module when the postponed refresh count is incremented. A determination is made as to whether the postponed refresh count exceeds a count threshold. A refresh command is issued to the memory module to perform refresh in an active mode in response to determining that the postponed refresh count exceeds the count threshold.