In this paper, we propose a fast full-system simulation environment that complements the shortcomings of each simulator to evaluate the memory system. We used a full-system simulator as a memory trace generator, except for the unnecessary details of it. Generated traces become inputs of trace-driven memory simulator. We also fine-Tuned the memory simulator to get higher accuracy. The results show that the simulation can run at a speed of 1/7158x of the real system on average and the accuracy of memory system simulation is achieved by averaging 92.5% for bandwidth and 85.7% for latency.
|Title of host publication||Proceedings - International SoC Design Conference, ISOCC 2020|
|Publisher||Institute of Electrical and Electronics Engineers Inc.|
|Number of pages||2|
|Publication status||Published - 2020 Oct 21|
|Event||17th International System-on-Chip Design Conference, ISOCC 2020 - Yeosu, Korea, Republic of|
Duration: 2020 Oct 21 → 2020 Oct 24
|Name||Proceedings - International SoC Design Conference, ISOCC 2020|
|Conference||17th International System-on-Chip Design Conference, ISOCC 2020|
|Country||Korea, Republic of|
|Period||20/10/21 → 20/10/24|
Bibliographical noteFunding Information:
IV. CONCLUSTION In this paper, we propose a fast and accurate full-system simulation environment. We combine the cycle-accurate full-system simulator with the trace-driven memory simulator and modify each of them to compensate disadvantages. The results show that on average, the slow-down of simulation speed is 1/7168x of the speed of the real system and the accuracies of bandwidth and latency are 92.5% and 85.7%.G ACKNOWLEDGMENT This research was supported by the MOTIE(Ministry of Trade, Industry & Energy) (10080722) and KSRC(Korea Semiconductor Research Consortium) support program for the development of the future semiconductor device. And the chip fabrication and EDA Tool were supported by the IC Design Education Center.
© 2020 IEEE.
All Science Journal Classification (ASJC) codes
- Energy Engineering and Power Technology
- Electrical and Electronic Engineering
- Artificial Intelligence
- Hardware and Architecture