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A multi-streaming SIMD multimedia computing engine

机译:那个多流信德多媒体计算引擎

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Current multimedia extensions provide a mechanism for general-purpose processors to meet the growing performance demand of multimedia applications. However, the computing performance of these extensions is often limited for the design conceptions of the single data stream. This paper presents an architecture called "multi-streaming SIMD" that enables current multimedia extensions to simultaneously manipulate multiple data streams. To efficiently and flexibly realize the proposed architecture, an operation cell is designed by fusing the logic gates and the storage cells together. Multiple operation cells then are connected to compose a register file with the ability of performing SIMD operations called "Multimedia Operation Storage Unit (MOSU)". Further, many MOSUs are used to compose a multi-streaming SIMD computing engine that can simultaneously manipulate multiple data streams and exploit the subword parallelisms of the elements in each data stream. This paper also designs three instruction modes (global, coupling, and isolated modes) for programmers to dynamically configure the multi-streaming SIMD computing engine at the instruction level to manipulate different amounts of data streams. Simulation results show that when the multi-streaming SIMD architecture has four 4-register MOSUs, it provides a factor of 3.3x-5.5x performance enhancement for traditional MMX extensions on 12 multimedia kernels.
机译:当前的多媒体扩展为通用处理器提供了一种机制,可以满足多媒体应用不断增长的性能需求。但是,这些扩展的计算性能通常受限于单个数据流的设计概念。本文提出了一种称为“多流SIMD”的体系结构,该体系结构使当前的多媒体扩展能够同时处理多个数据流。为了有效且灵活地实现所提出的架构,通过将逻辑门和存储单元融合在一起来设计操作单元。然后,多个操作单元被连接以组成一个寄存器文件,该文件具有执行称为“多媒体操作存储单元(MOSU)”的SIMD操作的能力。此外,许多MOSU用于组成多流SIMD计算引擎,该引擎可以同时操纵多个数据流并利用每个数据流中元素的子字并行性。本文还设计了三种指令模式(全局,耦合和隔离模式)供程序员在指令级别动态配置多流SIMD计算引擎,以处理不同数量的数据流。仿真结果表明,当多流SIMD架构具有四个4寄存器MOSU时,它为12个多媒体内核上的传统MMX扩展提供了3.3x-5.5x的性能提升。

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