- 授权协议: GPL
- 开发语言: Java 汇编
- 操作系统: 跨平台
- 软件首页: https://github.com/mcai/Archimulator
- 软件文档: https://github.com/mcai/Archimulator
- 官方下载: https://github.com/mcai/Archimulator
软件介绍
Archimulator 国产纯Java多核体系结构模拟器:
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Written in 100% Java with the aid of JNA (Java Native Access) for native POSIX syscall implementations, which assures its portability and usability across many Linux machine configurations.
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Facilitates interface-based hierarchical object orientation to improve code readability and extensibility.
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Provides functional architectural simulation of:
- Program loading for statically-linked MIPS32 ELF executables (both Little Endian and Big Endian are supported);
- Functional execution of common integer and floating-point instructions of MIPS32 ISA;
- Emulation of common POSIX system calls;
- Execution of Pthreads based multithreaded programs.
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Provides cycle-accurate microarchitectural simulation of:
- Separate pipeline structures such as the reorder buffer, separate integer and floating point physical register files;
- Explicit register renaming based on the merged architectural and rename register file model;
- Single-threaded superscalar out-of-order execution, multithreaded SMT and CMP execution model;
- Multi-level inclusive cache hierarchy with the directory-based MESI coherence protocol;
- Simple cycle-accurate DRAM controller model;
- Various kinds of static and dynamic branch predictors, checkpointing-based pipeline recovery on branch misprediction.
大数据时代的算法:机器学习、人工智能及其典型实例
刘凡平 / 电子工业出版社 / 2017-1 / 49
《大数据时代的算法:机器学习、人工智能及其典型实例》介绍在互联网行业中经常涉及的算法,包括排序算法、查找算法、资源分配算法、路径分析算法、相似度分析算法,以及与机器学习相关的算法,包括数据分类算法、聚类算法、预测与估算算法、决策算法、关联规则分析算法及推荐算法。《大数据时代的算法:机器学习、人工智能及其典型实例》涉及的相关算法均为解决实际问题中的主流算法,对于工作和学习都有实际参考意义。 《......一起来看看 《大数据时代的算法:机器学习、人工智能及其典型实例》 这本书的介绍吧!
