• 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.

• Proceedings of the Korean Society of Computer Information Conference
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• 2012.07a
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• pp.297-300
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• 2012

현재 cache의 성능 향상을 위한 많은 기법들이 제안되고 있으며, Latency Hiding 기법 역시 cache의 효율적인 사용을 위해 많은 연구가 진행 되어 왔다. write buffer를 사용한 write Latency hiding기법이나 multi threading을 사용한 Latency Hiding 방법 등 여러 기법들이 연구되어 왔으며, 지금도 Latency hiding을 위한 많은 연구들이 지속적으로 진행되고 있다. 본 논문 역시 효율적인 Latency Hiding을 위한 누적 버퍼를 제안한다. 본 논문은 누적 버퍼의 활용도를 조사하여 얼마나 효율적으로 Latency를 은폐했는지, 또 버퍼를 사용함으로써 얻는 다른 이점에 대해 집중적으로 연구하였다.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.33 no.1
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• pp.51-61
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• 2023

Messengers such as KakaoTalk, LINE, and Facebook Messenger are universal means of communication used by anyone. As the convenience functions provided to users and their usage time increase, so does the user behavior information remaining in the artifacts, which is being used as important evidence from the perspective of digital forensic investigation. However, for security reasons, most of the data is currently stored encrypted. In addition, cover-up behaviors such as intentional manipulation, concealment, and deletion are increasing, causing the problem of delaying digital forensic analysis time. In this paper, we conducted a study on the data decryption and artifacts analysis in a Windows environment for KakaoTalk, the messenger with the largest number of users in Korea. An efficient way of obtaining a decryption key and a method of identifying and decrypting messages attempted to be deleted are presented, and thumbnail artifacts are analyzed.