… In this paper, we have analysed three promising memory management … memory management
techniques especially help to reduce unnecessary data movement and increase memory …

… In summary, GPU workers do not need to synchronize on memory management as they only
need to receive all the memory management information at the beginning of each decoding …

… and memory management in systems with heterogeneous … Along with the different approaches
to memory management, this … approach for our objective of abstraction and portability. …

… This paper presents two efficient memory management … , to address the memory aspects
of the dataflow model: copy-on… Sniper: exploring the level of abstraction for scalable and …

… GPU memory management based on computation graph and characteristics of diferent
layers. However, a layer of neural networks is a high-level computation abstraction composed of …

… models, and perform actions based on the decision. The model here is a generic abstraction
… Examples are: (a) descriptive model that captures system performance-related parameters, (…

… ABSTRACT In this article, we analyze Android applications’ … Based on these observations,
we present a new smartphone memory management scheme for DRAM-NVM hybrid memory. …

… The above abstraction and formalization are general to different frameworks and DL models
in estimating GPU memory consumption. Users can … Memory management for tensorflow. …

… Memory Management, captured the state of the field in 2012. Modern technology developments
have made memory management … by automatic memory management researchers and …

… Hence, we did not modify the power model in the framework. A 32-core processor based on
a Gainestown variant of x86 Nehalem micro-architecture at 2.66 GHz was set. Some specific …