基于解耦前端指令块类型预测的节能分支预测器

IF 1.1 4区 计算机科学 Q4 COMPUTER SCIENCE, HARDWARE & ARCHITECTURE
Zilin Li, Jizeng Wei, Shuangsheng Li, Yaogong Yang
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引用次数: 0

摘要

分支预测器被广泛用于提高处理器性能,但它也是处理器中主要的耗能部件之一。我们发现,在解耦的前端中,大约32%的指令块不包含分支指令,而30.8%的指令块只包含条件分支。但是,由于在预测期间无法确定块内指令的类型,因此必须在每个周期执行分支预测。在这项工作中,我们提出了下一个块类型(NBT)和无分支序列表(NST)来预测指令块类型。这些机制占用的空间很小,而且很容易实现。对于四路乱序处理器,NBT和NST在不牺牲处理器每周期指令(IPC)和分支预测精度的情况下,将分支预测器的能耗降低了52.36%,处理器的能耗降低了4.1%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Energy-Efficient Branch Predictor via Instruction Block Type Prediction in Decoupled Frontend

Energy-Efficient Branch Predictor via Instruction Block Type Prediction in Decoupled Frontend

The branch predictor is widely used to enhance processor performance, but it also constitutes one of the major energy-consuming components in processors. We found that approximately 32% of instruction blocks in a decoupled frontend do not contain branch instructions, while 30.8% of instruction blocks contain only conditional branches. However, because the type of instructions within a block cannot be determined during prediction, branch prediction must be executed every cycle. In this work, we propose the next block type (NBT) and no branch sequence table (NST) for predicting instruction block types. These mechanisms occupy minimal space and are straightforward to implement. For a four-way out-of-order processor, the NBT and NST reduce the branch predictor’s energy consumption by 52.36% and processor’s energy consumption by 4.1% without sacrificing the processor’s instructions per cycle (IPC) and branch prediction accuracy.

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来源期刊
IET Computers and Digital Techniques
IET Computers and Digital Techniques 工程技术-计算机:理论方法
CiteScore
3.50
自引率
0.00%
发文量
12
审稿时长
>12 weeks
期刊介绍: IET Computers & Digital Techniques publishes technical papers describing recent research and development work in all aspects of digital system-on-chip design and test of electronic and embedded systems, including the development of design automation tools (methodologies, algorithms and architectures). Papers based on the problems associated with the scaling down of CMOS technology are particularly welcome. It is aimed at researchers, engineers and educators in the fields of computer and digital systems design and test. The key subject areas of interest are: Design Methods and Tools: CAD/EDA tools, hardware description languages, high-level and architectural synthesis, hardware/software co-design, platform-based design, 3D stacking and circuit design, system on-chip architectures and IP cores, embedded systems, logic synthesis, low-power design and power optimisation. Simulation, Test and Validation: electrical and timing simulation, simulation based verification, hardware/software co-simulation and validation, mixed-domain technology modelling and simulation, post-silicon validation, power analysis and estimation, interconnect modelling and signal integrity analysis, hardware trust and security, design-for-testability, embedded core testing, system-on-chip testing, on-line testing, automatic test generation and delay testing, low-power testing, reliability, fault modelling and fault tolerance. Processor and System Architectures: many-core systems, general-purpose and application specific processors, computational arithmetic for DSP applications, arithmetic and logic units, cache memories, memory management, co-processors and accelerators, systems and networks on chip, embedded cores, platforms, multiprocessors, distributed systems, communication protocols and low-power issues. Configurable Computing: embedded cores, FPGAs, rapid prototyping, adaptive computing, evolvable and statically and dynamically reconfigurable and reprogrammable systems, reconfigurable hardware. Design for variability, power and aging: design methods for variability, power and aging aware design, memories, FPGAs, IP components, 3D stacking, energy harvesting. Case Studies: emerging applications, applications in industrial designs, and design frameworks.
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