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Optimizing Bandwidth Constraint through Register Interconnection for Stream Processors

机译:通过寄存器互连为流处理器优化带宽约束

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In recent years, multimedia and game applications have experienced rapid growth at an explosive rate both in quantity and complexity. Since these applications typically demand 10^10 to 10^11 operations to be executed per second, higher processing capability is expected. Therefore, stream processors are becoming popular because of its performance advantages in the domains of signal processing, multimedia and etc. To provide sufficient computing capability, multi-SIMD units1 are employed in the stream processors. Moreover, to overcome the centralized register file constraint, hierarchical register organization is proposed and widely used in stream processors. In upper level of the hierarchy, distributed register file (DRF) becomes the dominant design and there are explicit interconnections among the DRFs managed by the compiler in a VLIW manner. Moreover, in order to further exploit the nice locality characteristics in multimedia applications, the lower level is a multi-banked register file where each bank is accessed by several SIMD units through a shared data bus. We will refer to the architecture with such characteristics as MLRMSIMD architecture.
机译:近年来,多媒体和游戏应用的数量和复杂性都以爆炸性的速度快速增长。由于这些应用程序通常要求每秒执行10 ^ 10到10 ^ 11个操作,因此期望有更高的处理能力。因此,流处理器由于其在信号处理,多媒体等领域的性能优势而变得流行。为了提供足够的计算能力,在流处理器中采用了多SIMD单元。此外,为了克服集中式寄存器文件的限制,提出了分层寄存器组织并在流处理器中广泛使用。在层次结构的上层,分布式寄存器文件(DRF)成为主要设计,并且由编译器以VLIW方式管理的DRF之间存在明确的互连。此外,为了进一步利用多媒体应用程序中的良好本地性,较低的层是多存储区寄存器文件,其中每个存储区都由几个SIMD单元通过共享数据总线访问。我们将把具有此类特征的体系结构称为MLRMSIMD体系结构。

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