Memories and methods for performing an atomic memory operation are disclosed, including a memory having a memory store, operation logic, and a command decoder. Operation logic can be configured to receive data and perform operations thereon in accordance with internal control signals. A command decoder can be configured to receive command packets having at least a memory command portion in which a memory command is provided and data configuration portion in which configuration information related to data associated with a command packet is provided. The command decoder is further configured to generate a command control signal based at least in part on the memory command and further configured to generate control signal based at least in part on the configuration information.

An apparatus and method are described for performing vector compression. For example, one embodiment of a processor comprises: vector compression logic to compress a source vector comprising a plurality of valid data elements and invalid data elements to generate a destination vector in which valid data elements are stored contiguously on one side of the destination vector, the vector compression logic to utilize a bit mask associated with the source vector and comprising a plurality of bits, each bit corresponding to one of the plurality of data elements of the source vector and indicating whether the data element comprises a valid data element or an invalid data element, the vector compression logic to utilize indices of the bit mask and associated bit values of the bit mask to generate a control vector; and shuffle logic to shuffle/permute the data elements of the source vector to the destination vector in accordance with the control vector.

Methods and apparatuses relating to tightly-coupled heterogeneous computing are described. In one embodiment, a hardware processor includes a plurality of execution units in parallel, a switch to connect inputs of the plurality of execution units to outputs of a first buffer and a plurality of memory banks and connect inputs of the plurality of memory banks and a plurality of second buffers in parallel to outputs of the first buffer, the plurality of memory banks, and the plurality of execution units, and an offload engine with inputs connected to outputs of the plurality of second buffers.

Memories and methods for performing an atomic memory operation are disclosed, including a memory having a memory store, operation logic, and a command decoder. Operation logic can be configured to receive data and perform operations thereon in accordance with internal control signals. A command decoder can be configured to receive command packets having at least a memory command portion in which a memory command is provided and data configuration portion in which configuration information related to data associated with a command packet is provided. The command decoder is further configured to generate a command control signal based at least in part on the memory command and further configured to generate control signal based at least in part on the configuration information.

Methods and apparatuses for determining set-membership using Single Instruction Multiple Data (SIMD) architecture are presented herein. Specifically, methods and apparatuses are discussed for determining, in parallel, whether multiple values in a first set of values are members of a second set of values. Many of the methods and systems discussed herein are applied to determining whether one or more rows in a dictionary-encoded column of a database table satisfy one or more conditions based on the dictionary-encoded column. However, the methods and systems discussed herein may apply to many applications executed on a SIMD processor using set-membership tests.

Methods and apparatuses for determining set-membership using Single Instruction Multiple Data (SIMD) architecture are presented herein. Specifically, methods and apparatuses are discussed for determining, in parallel, whether multiple values in a first set of values are members of a second set of values. Many of the methods and systems discussed herein are applied to determining whether one or more rows in a dictionary-encoded column of a database table satisfy one or more conditions based on the dictionary-encoded column. However, the methods and systems discussed herein may apply to many applications executed on a SIMD processor using set-membership tests.

An apparatus and method are described for performing vector compression. For example, one embodiment of a processor comprises: vector compression logic to compress a source vector comprising a plurality of valid data elements and invalid data elements to generate a destination vector in which valid data elements are stored contiguously on one side of the destination vector, the vector compression logic to utilize a bit mask associated with the source vector and comprising a plurality of bits, each bit corresponding to one of the plurality of data elements of the source vector and indicating whether the data element comprises a valid data element or an invalid data element, the vector compression logic to utilize indices of the bit mask and associated bit values of the bit mask to generate a control vector; and shuffle logic to shuffle/permute the data elements of the source vector to the destination vector in accordance with the control vector.

The present disclosure provides for defragmenting deduplicated data, such as one or more backup image files, stored in a deduplicated data store. A defragmentation module can be implemented on a deduplication server to reduce fragmentation of backup images and improve processing time for restoring a backup image. A defragmentation module can be configured to defragment a backup image file by migrating portions of data of the backup image file that are stored in various containers at non-contiguous locations throughout deduplicated data store. A defragmentation module can contiguously write the portions to one or more containers, which are stored at one or more new locations in the deduplicated data store. A defragmentation module can be configured to evaluate whether portions of a backup image file meet criteria for defragmentation. A defragmentation module can also be configured to update location information about the portions that are migrated to the new container(s).

Embodiments of systems, apparatuses, and methods for performing in a computer processor generation of a predicate mask based on vector comparison in response to a single instruction are described.

Methods and apparatuses for determining set-membership using Single Instruction Multiple Data (SIMD) architecture are presented herein. Specifically, methods and apparatuses are discussed for determining, in parallel, whether multiple values in a first set of values are members of a second set of values. Many of the methods and systems discussed herein are applied to determining whether one or more rows in a dictionary-encoded column of a database table satisfy one or more conditions based on the dictionary-encoded column. However, the methods and systems discussed herein may apply to many applications executed on a SIMD processor using set-membership tests.