Abstract: Embodiments of the present invention relate to a method and system for performing a memory copy. In one embodiment of the present invention, there is provided a method for performing memory copy, including: decoding a memory copy instruction into at least one microcode in response to receipt of the memory copy instruction, transforming the at least one microcode into a ReadWrite Command for each of the at least one microcode, and notifying a memory controller to execute the ReadWrite Command, wherein the ReadWrite Command is executed by the memory controller and comprises at least a physical source address, a physical destination address and a ReadWrite length that are associated with the ReadWrite Command. In another embodiment of the present invention, there is provided a system for performing a memory copy.

Abstract: Embodiments of the present invention relate to a method and system for performing a memory copy. In one embodiment of the present invention, there is provided a method for performing memory copy, including: decoding a memory copy instruction into at least one microcode in response to receipt of the memory copy instruction, transforming the at least one microcode into a ReadWrite Command for each of the at least one microcode, and notifying a memory controller to execute the ReadWrite Command, wherein the ReadWrite Command is executed by the memory controller and comprises at least a physical source address, a physical destination address and a ReadWrite length that are associated with the ReadWrite Command. In another embodiment of the present invention, there is provided a system for performing a memory copy.

Abstract: A method and apparatus are provided for hardware-assisted local triangle counting in a graph. The method includes converting vertex relationships of the graph into rule patterns. The method also includes compiling the rule patterns into a binary file, wherein the rule patterns are organized into a finite state machine. The method further includes loading at least a part of the binary file and a search string to be compared there against into a hardware pattern matching accelerator. The method additionally includes receiving a number of matching outputs from the pattern matching accelerator.

Abstract: A method and apparatus are provided for hardware-assisted local triangle counting in a graph. The method includes converting vertex relationships of the graph into rule patterns. The method also includes compiling the rule patterns into a binary file, wherein the rule patterns are organized into a finite state machine. The method further includes loading at least a part of the binary file and a search string to be compared there against into a hardware pattern matching accelerator. The method additionally includes receiving a number of matching outputs from the pattern matching accelerator.