• Title/Summary/Keyword: clock predictor

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Low Latency Synchronization Scheme Using Prediction and Avoidance of Synchronization Failure in Heterochronous Clock Domains

  • Song, Sung-Gun;Park, Seong-Mo;Lee, Jeong-Gun;Oh, Myeong-Hoon
    • JSTS:Journal of Semiconductor Technology and Science
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    • v.15 no.2
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    • pp.208-222
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    • 2015
  • For the performance-efficient integration of IPs on an SoC utilizing heterochronous multi-clock domains, we propose a synchronization scheme that causes low latency overhead when data are crossing clock boundaries. The proposed synchronization scheme is composed of a clock predictor and a synchronizer. The clock predictor of a sender clock domain produces a predicted clock that is used in a receiver clock domain to detect possible synchronization failures in advance. When the possible synchronization failures are detected, a synchronizer at the receiver delays data-capture times to avoid the possible synchronization failures. From the simulation of the proposed scheme through SPICE modeling using a Chartered $0.18{\mu}m$ CMOS process, we verified the functionalities and timing behavior of the clock predictor and the synchronizer. The simulation results show that the clock predictor produces a predicted clock before a synchronization failure, and the synchronizer samples data correctly using the predicted clock.

Early Start Branch Prediction to Resolve Prediction Delay (분기 명령어의 조기 예측을 통한 예측지연시간 문제 해결)

  • Kwak, Jong-Wook;Kim, Ju-Hwan
    • The KIPS Transactions:PartA
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    • v.16A no.5
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    • pp.347-356
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    • 2009
  • Precise branch prediction is a critical factor in the IPC Improvement of modern microprocessor architectures. In addition to the branch prediction accuracy, branch prediction delay have a profound impact on overall system performance as well. However, it tends to be overlooked when the architects design the branch predictor. To tolerate branch prediction delay, this paper proposes Early Start Prediction (ESP) technique. The proposed solution dynamically identifies the start instruction of basic block, called as Basic Block Start Address (BB_SA), and the solution uses BB_SA when predicting the branch direction, instead of branch instruction address itself. The performance of the proposed scheme can be further improved by combining short interval hiding technique between BB_SA and branch instruction. The simulation result shows that the proposed solution hides prediction latency, with providing same level of prediction accuracy compared to the conventional predictors. Furthermore, the combination with short interval hiding technique provides a substantial IPC improvement of up to 10.1%, and the IPC is actually same with ideal branch predictor, regardless of branch predictor configurations, such as clock frequency, delay model, and PHT size.

Branch Prediction Latency Hiding Scheme using Branch Pre-Prediction and Modified BTB (분기 선예측과 개선된 BTB 구조를 사용한 분기 예측 지연시간 은폐 기법)

  • Kim, Ju-Hwan;Kwak, Jong-Wook;Jhon, Chu-Shik
    • Journal of the Korea Society of Computer and Information
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    • v.14 no.10
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    • pp.1-10
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    • 2009
  • Precise branch predictor has a profound impact on system performance in modern processor architectures. Recent works show that prediction latency as well as prediction accuracy has a critical impact on overall system performance as well. However, prediction latency tends to be overlooked. In this paper, we propose Branch Pre-Prediction policy to tolerate branch prediction latency. The proposed solution allows that branch predictor can proceed its prediction without any information from the fetch engine, separating the prediction engine from fetch stage. In addition, we propose newly modified BTE structure to support our solution. The simulation result shows that proposed solution can hide most prediction latency with still providing the same level of prediction accuracy. Furthermore, the proposed solution shows even better performance than the ideal case, that is the predictor which always takes a single cycle prediction latency. In our experiments, IPC improvement is up to 11.92% and 5.15% in average, compared to conventional predictor system.