Zobrazeno 1 - 10
of 101
pro vyhledávání: '"Chen, Kuan-Hsun"'
Owing to the characteristics of high density and unlimited write cycles, skyrmion racetrack memory (SK-RM) has demonstrated great potential as either the next-generation main memory or the last-level cache of processors with non-volatility. Neverthel
Externí odkaz:
http://arxiv.org/abs/2407.17499
Autor:
Schmid, Lena, Biebert, Daniel, Hakert, Christian, Chen, Kuan-Hsun, Lang, Michel, Pauly, Markus, Chen, Jian-Jia
The rise of machine learning methods on heavily resource constrained devices requires not only the choice of a suitable model architecture for the target platform, but also the optimization of the chosen model with regard to execution time consumptio
Externí odkaz:
http://arxiv.org/abs/2406.12531
Bringing high-level machine learning models to efficient and well-suited machine implementations often invokes a bunch of tools, e.g.~code generators, compilers, and optimizers. Along such tool chains, abstractions have to be applied. This leads to n
Externí odkaz:
http://arxiv.org/abs/2404.06846
Occasional deadline misses are acceptable for soft real-time systems. Quantifying probabilistic and deterministic characteristics of deadline misses is therefore essential to ensure that deadline misses indeed happen only occasionally. This is suppor
Externí odkaz:
http://arxiv.org/abs/2401.15503
Autor:
Su, Jia-Hui, Lu, Chen-Hua, Lee, Jenq Kuen, Coluccio, Andrea, Riente, Fabrizio, Vacca, Marco, Ottavi, Marco, Chen, Kuan-Hsun
Nowadays, various memory-hungry applications like machine learning algorithms are knocking "the memory wall". Toward this, emerging memories featuring computational capacity are foreseen as a promising solution that performs data process inside the m
Externí odkaz:
http://arxiv.org/abs/2303.12128
In many machine learning applications, e.g., tree-based ensembles, floating point numbers are extensively utilized due to their expressiveness. Nowadays performing data analysis on embedded devices from dynamic data masses becomes available, but such
Externí odkaz:
http://arxiv.org/abs/2209.04181
Autor:
Teper, Harun, Bayuwindra, Anggera, Riebl, Raphael, Severino, Ricardo, Chen, Jian-Jia, Chen, Kuan-Hsun
In the near future, the development of autonomous driving will get more complex as the vehicles will not only rely on their own sensors but also communicate with other vehicles and the infrastructure to cooperate and improve the driving experience. T
Externí odkaz:
http://arxiv.org/abs/2207.05544
In real-time systems, schedulability tests are utilized to provide timing guarantees. However, for self-suspending task sets, current suspension-aware schedulability tests are limited to Task-Level Fixed-Priority~(TFP) scheduling or Earliest-Deadline
Externí odkaz:
http://arxiv.org/abs/2111.09725
Due to the growing popularity of the Internet of Things, edge computing concept has been widely studied to relieve the load on the original cloud and networks while improving the service quality for end-users. To simulate such a complex environment i
Externí odkaz:
http://arxiv.org/abs/2109.03901
Autor:
Shi, Junjie, Pham, Jan Duy Thien, Münch, Malte, Hafemeister, Jan Viktor, Chen, Jian-Jia, Chen, Kuan-Hsun
When considering recurrent tasks in real-time systems, concurrent accesses to shared resources, can cause race conditions or data corruptions. Such a problem has been extensively studied since the 1990s, and numerous resource synchronization protocol
Externí odkaz:
http://arxiv.org/abs/2104.06366