Zobrazeno 1 - 10
of 39 203
pro vyhledávání: '"Memory Allocation"'
Autor:
Dang, Zheng1 (AUTHOR) dangzheng@zju.edu.cn, He, Shuibing1 (AUTHOR) heshuibing@zju.edu.cn, Zhang, Xuechen2 (AUTHOR) xuechen.zhang@wsu.edu, Hong, Peiyi1 (AUTHOR) hongpeiyi@zju.edu.cn, Li, Zhenxin1 (AUTHOR) zhenxin@zju.edu.cn, Chen, Xinyu1 (AUTHOR) xy.chen@zju.edu.cn, Song, Haozhe1 (AUTHOR) haozheshz@zju.edu.cn, Sun, Xian-He3 (AUTHOR) sun@iit.edu, Chen, Gang1 (AUTHOR) cg@zju.edu.cn
Publikováno v:
ACM Transactions on Computer Systems. 2024, Vol. 42 Issue 3/4, p1-52. 52p.
Autor:
Lim, Arisrei, Maddukuri, Abhiram
In recent years, reinforcement learning (RL) has gained popularity and has been applied to a wide range of tasks. One such popular domain where RL has been effective is resource management problems in systems. We look to extend work on RL for resourc
Externí odkaz:
http://arxiv.org/abs/2410.15492
Autor:
Hakarsa, Adam Noto
Although best-fit is known to be slow, it excels at optimizing memory space utilization. Interestingly, by keeping the free memory region at the top of the memory, the process of memory allocation and deallocation becomes approximately 34.86% faster
Externí odkaz:
http://arxiv.org/abs/2409.03488
Rowhammer is a hardware security vulnerability at the heart of every system with modern DRAM-based memory. Despite its discovery a decade ago, comprehensive defenses remain elusive, while the probability of successful attacks grows with DRAM density.
Externí odkaz:
http://arxiv.org/abs/2409.15463
In the evolving landscape of Neural Machine Translation (NMT), the pretrain-then-finetune paradigm has yielded impressive results. However, the persistent challenge of Catastrophic Forgetting (CF) remains a hurdle. While previous work has introduced
Externí odkaz:
http://arxiv.org/abs/2404.04846
Processing-using-DRAM (PUD) architectures impose a restrictive data layout and alignment for their operands, where source and destination operands (i) must reside in the same DRAM subarray (i.e., a group of DRAM rows sharing the same row buffer and r
Externí odkaz:
http://arxiv.org/abs/2403.04539
Publikováno v:
e-Prime: Advances in Electrical Engineering, Electronics and Energy, Vol 10, Iss , Pp 100762- (2024)
This paper offers a fresh perspective to memory allocation in edge-PLCs within industrial IoT environments, leveraging a hybrid a structure that incorporates Deep Q-Networks (DQN) and Bidirectional Long Short-Term Memory Networks (BiLSTM), complement
Externí odkaz:
https://doaj.org/article/f22ac45102764360b29c7b4a678f34d1
Akademický článek
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Publikováno v:
IEEE Access, Vol 12, Pp 9931-9939 (2024)
Many modern Systems-on-Chip (SoCs) are equipped with specialized Machine Learning (ML) accelerators that use both on-chip and off-chip memory to execute neural networks. While on-chip memory usually has a hard limit, off-chip memory is often consider
Externí odkaz:
https://doaj.org/article/7543959d75224001a5678283e2300fbf