@inproceedings{1f980a59b99c4384ab7d0fc4c1dd9bfe,
title = "Study of GPU scalability",
abstract = "General-purpose Graphic Processing Units (GPGPUs) have been widely used to accelerate heavy compute-intensive applications. In a market the number of GPU cores on one chip are increased to maximize performance by exploiting thread-level parallelism (TLP). But memory system could be a bottleneck, and assigning more cores does not help faster execution. In this paper, we observe GPU core scalability issue, and analyze major causes of the performance degradation under many core configuration in perspective of memory latency.",
keywords = "GPU, memory latency, scalability",
author = "Choi, {Kyu Hyun} and Dongha Jung and Kim, {Seon Wook} and Hwang, {Tae Ho} and Kwon, {Jin San} and Kim, {Dong Sun}",
year = "2014",
doi = "10.1109/ISCE.2014.6884421",
language = "English",
isbn = "9781479945924",
series = "Proceedings of the International Symposium on Consumer Electronics, ISCE",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "ISCE 2014 - 18th IEEE International Symposium on Consumer Electronics",
note = "18th IEEE International Symposium on Consumer Electronics, ISCE 2014 ; Conference date: 22-06-2014 Through 25-06-2014",
}