Abstract: Embodiments of the present invention provide a memory resource optimization method and apparatus, relate to the computer field, solve a problem that existing multi-level memory resources affect each other, and optimize an existing single partitioning mechanism. A specific solution is: obtaining performance data of each program in a working set by using a page coloring technology, obtaining a category of each program in light of a memory access frequency, selecting, according to the category of each program, a page coloring-based partitioning policy corresponding to the working set, and writing the page coloring-based partitioning policy to an operating system kernel, to complete corresponding page coloring-based partitioning processing. The present invention is used to eliminate or reduce mutual interference of processes or threads on a memory resource in light of a feature of the working set, thereby improving overall performance of a computer.

Abstract: Embodiments of the present invention provide a memory resource optimization method and apparatus, relate to the computer field, solve a problem that existing multi-level memory resources affect each other, and optimize an existing single partitioning mechanism. A specific solution is: obtaining performance data of each program in a working set by using a page coloring technology, obtaining a category of each program in light of a memory access frequency, selecting, according to the category of each program, a page coloring-based partitioning policy corresponding to the working set, and writing the page coloring-based partitioning policy to an operating system kernel, to complete corresponding page coloring-based partitioning processing. The present invention is used to eliminate or reduce mutual interference of processes or threads on a memory resource in light of a feature of the working set, thereby improving overall performance of a computer.

Abstract: Embodiments of the present invention provide a memory resource optimization method and apparatus, relate to the computer field, solve a problem that existing multi-level memory resources affect each other, and optimize an existing single partitioning mechanism. A specific solution is: obtaining performance data of each program in a working set by using a page coloring technology, obtaining a category of each program in light of a memory access frequency, selecting, according to the category of each program, a page coloring-based partitioning policy corresponding to the working set, and writing the page coloring-based partitioning policy to an operating system kernel, to complete corresponding page coloring-based partitioning processing. The present invention is used to eliminate or reduce mutual interference of processes or threads on a memory resource in light of a feature of the working set, thereby improving overall performance of a computer.

Abstract: We disclose a function unit based finite state automata data structure for use in computer program compilers. According to an aspect of an embodiment, the data structure comprises a function unit vector, having no more used bits than there are issue ports for any particular microprocessor, and a plurality of valid template assignments for each function unit vector. In a preferred embodiment, the template assignments are constructed so as to account for dispersal rules associated with the particular microprocessor. Further, the template assignments can be sorted according to priority data.

Abstract: A compiler comprising an integrated instruction scheduler and resource management system is provided. According to an aspect of an embodiment, the resource management system includes a function unit based finite state automata system. Instructions to be compiled are modeled through the function unit based finite state automata system based on their function unit usage, before they are emitted as compiled computer code. We also disclose a function unit based finite state automata data structure and computer implemented methods for making the same.

Abstract: We disclose a function unit based finite state automata data structure for use in computer program compilers. According to an aspect of an embodiment, the data structure comprises a function unit vector, having no more used bits than there are issue ports for any particular microprocessor, and a plurality of valid template assignments for each function unit vector. In a preferred embodiment, the template assignments are constructed so as to account for dispersal rules associated with the particular microprocessor. Further, the template assignments can be sorted according to priority data.

Abstract: A compiler comprising an integrated instruction scheduler and resource management system is provided. According to an aspect of an embodiment, the resource management system includes a function unit based finite state automata system. Instructions to be compiled are modeled through the function unit based finite state automata system based on their function unit usage, before they are emitted as compiled computer code. We also disclose a function unit based finite state automata data structure and computer implemented methods for making the same.