@inproceedings{0e2a283ae86b416287cb0dd40ac87b61,
title = "A cache aware multithreading decision scheme on GPGPUs",
abstract = "GPGPUs have emerged as one of the most widely used throughput processors. Deep multithreading and on-chip cache hierarchy are the two effective designs to achieve high throughput computing in modern GPGPUs. However, excessive multithreading could aggravate the cache contention while conservative multithreading could leave the execution resource under-utilized. Finding a proper design point between the two has become a significant performance factor to GPGPUs. This paper investigates the correlation between caching behavior and multithreading technique. By demonstrating the trade-off issue between the multithreading and cache contention, this paper proposes a multithreading decision scheme to dynamically adjusts the multithreading degree to achieve superior performance. With the proposed decision scheme, the system performance of memory-intensive workloads can be improved by 60% in average.",
keywords = "design and optimization, GPGPU, Memory performance, multithreading",
author = "Yen, {Ta Kang} and Yu, {Bo Yao} and Bo-Cheng Lai",
year = "2014",
month = nov,
day = "6",
doi = "10.1109/MCSoC.2014.45",
language = "English",
series = "Proceedings - 2014 IEEE 8th International Symposium on Embedded Multicore/Manycore SoCs, MCSoC 2014",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "267--272",
booktitle = "Proceedings - 2014 IEEE 8th International Symposium on Embedded Multicore/Manycore SoCs, MCSoC 2014",
address = "United States",
note = "null ; Conference date: 23-09-2014 Through 25-09-2014",
}