AvA: Accelerated virtualization of accelerators
H Yu, AM Peters, A Akshintala… - Proceedings of the Twenty …, 2020 - dl.acm.org
Applications are migrating en masse to the cloud, while accelerators such as GPUs, TPUs,
and FPGAs proliferate in the wake of Moore's Law. These trends are in conflict: cloud …
and FPGAs proliferate in the wake of Moore's Law. These trends are in conflict: cloud …
Towards a Machine Learning-Assisted Kernel with LAKE
The complexity of modern operating systems (OSes), rapid diversification of hardware, and
steady evolution of machine learning (ML) motivate us to explore the potential of ML to …
steady evolution of machine learning (ML) motivate us to explore the potential of ML to …
gVMP: A multi-objective joint VM and vGPU placement heuristic for API remoting-based GPU virtualization and disaggregation in cloud data centers
A Siavashi, M Momtazpour - Journal of Parallel and Distributed Computing, 2023 - Elsevier
The diverse needs of customers drive cloud providers to incorporate more GPU-enabled
services. It is known that users barely utilize GPUs. Hence, GPU virtualization techniques …
services. It is known that users barely utilize GPUs. Hence, GPU virtualization techniques …
Improving emerging systems' efficiency with hardware accelerators
H Fingler - 2023 - repositories.lib.utexas.edu
The constant growth of datacenters and cloud computing comes with an increase of power
consumption. With the end of Dennard scaling and Moore's law, computing no longer grows …
consumption. With the end of Dennard scaling and Moore's law, computing no longer grows …
[图书][B] Accelerating Virtualization of Accelerators
H Yu - 2020 - search.proquest.com
The use of specialized accelerators is among the most promising paths to better energy
efficiency for computationally heavy workloads. However, current software and system …
efficiency for computationally heavy workloads. However, current software and system …