TRICONEX D06603 英维思 6603 SIS系统模块

TRICONEX D06603 英维思 6603 SIS系统模块

TRICONEX D06603 英维思 6603 SIS系统模块

TRICONEX  D06603 多核处理器实现了多重处理在单个物理封装中。设计人员可以紧密或松散地耦合多核设备中的内核。例如，核心可以共享也可以不共享隐藏所，并且它们可以实现信息传递或者共享内存核间通信方法。普通的网络拓扑用于互连核心包括公共汽车,戒指，二维网状物，以及横木。同构多核系统仅包含相同的内核；异种的多核系统具有不同的核心(例如很大。小的具有共享相同内容的异构内核指令组，而AMD加速处理单元具有不共享相同指令集的核心)。就像单处理器系统一样，多核系统中的内核可以实现以下架构VLIW,超标量体系结构的,矢量，或者多线程操作。

多核处理器广泛应用于许多应用领域，包括多用途的,植入的,网络,数字信号处理(DSP)，以及制图法(GPU)。内核数量甚至会增加到几十个，对于超过10，000个的专用芯片，[3]而在超级计算机(即芯片簇)计数可以超过1000万(并且在一个案例除主机处理器外，总共多达2000万个处理元件)。[4]

TRICONEX  D06603 使用多核处理器带来的性能提升在很大程度上取决于软件使用的算法及其实现。特别是，可能的收益受到软件中能够并行运行同时在多个内核上运行；这种效应描述为阿姆达尔定律。在最好的情况下，所谓的令人尴尬的平行问题可能实现接近核心数量的加速因子，或者如果问题被分解到足以适合每个核心的高速缓存，甚至更多，从而避免使用慢得多的主系统内存。然而，大多数应用程序并没有被加速，除非程序员在重构

TRICONEX D06603 英维思 6603 SIS系统模块

The TRICONEX D06603 multi-core processor enables multiple processing in a single physical package. Designers can tightly or loosely couple cores in multi-core devices. For example, cores may or may not share a cache, and they may implement information transfer or share methods of intercore communication in memory. Common network topologies used for interconnecting cores include buses, rings, two-dimensional mesh, and crossbars. Isomorphic multicore systems contain only the same kernel; Heterogeneous multicore systems have different cores (e.g., large. Small heterogeneous core instruction sets that share the same content, while AMD accelerated processing units have cores that do not share the same instruction set). Just like single-processor systems, cores in multi-core systems can implement the following architectures: VLIW, superscalar architecture, vector, or multithreaded operations.

Multi-core processors are widely used in many applications, including multipurpose, implant, networking, digital signal processing (DSP), and Graphics processing (GPU). The number of cores can even increase to dozens, for more than 10,000 dedicated chips, [3] while in supercomputers (i.e., chip clusters) the count can exceed 10 million (and in one case up to 20 million total processing elements in addition to the host processor). [4]

The performance gains from the TRICONEX D06603 using a multi-core processor largely depend on the algorithms used by the software and their implementation. In particular, the possible benefits are derived from software that can run in parallel on multiple cores at the same time; This effect is described as Amdahl's law. At best, so-called embarrassing parallel problems may achieve acceleration factors close to the number of cores, or even more if the problem is broken down enough to fit into each core's cache, avoiding the use of much slower main system memory. However, most applications are not accelerated unless the programmer is refactoring