DRMaestro: orchestrating disaggregated resources on virtualized data-centers
Modern applications demand resources at an unprecedented level. In this sense, data-
centers are required to scale efficiently to cope with such demand. Resource disaggregation …
centers are required to scale efficiently to cope with such demand. Resource disaggregation …
Virtualizing a post-moore's law analog mesh processor: The case of a photonic pde accelerator
Innovative processor architectures aim to play a critical role in future sustainment of
performance improvements under severe limitations imposed by the end of Moore's Law …
performance improvements under severe limitations imposed by the end of Moore's Law …
KubeGPU: efficient sharing and isolation mechanisms for GPU resource management in container cloud
W Shen, Z Liu, Y Tan, Z Luo, Z Lei - The Journal of Supercomputing, 2023 - Springer
With the increasing number of new containerized applications, such as high performance
and deep learning applications, started to reply on GPU, efficiently supporting GPU in …
and deep learning applications, started to reply on GPU, efficiently supporting GPU in …
SNCL: a supernode OpenCL implementation for hybrid computing arrays
Heterogeneous computing has been developing continuously in the field of high-
performance computing because of its high performance and energy efficiency. More and …
performance computing because of its high performance and energy efficiency. More and …
Transparent I/O-aware GPU virtualization for efficient resource consolidation
NM Gonzalez, T Elengikal - 2021 IEEE international parallel …, 2021 - ieeexplore.ieee.org
Graphics processing units (GPUs) are widely used in high performance computing (HPC)
and cloud computing to accelerate workloads. Virtualization provides flexible access to …
and cloud computing to accelerate workloads. Virtualization provides flexible access to …
Analyzing the performance/power tradeoff of the rCUDA middleware for future exascale systems
The computing power of supercomputers and data centers has noticeably grown during the
last decades at the cost of an ever increasing energy demand. The need for energy (and …
last decades at the cost of an ever increasing energy demand. The need for energy (and …
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 …
Redesigning the rCUDA communication layer for a better adaptation to the underlying hardware
Summary The use of Graphics Processing Units (GPUs) has become a very popular way to
accelerate the execution of many applications. However, GPUs are not exempt from side …
accelerate the execution of many applications. However, GPUs are not exempt from side …
Virtualizing analog mesh computers: The case of a photonic PDE solving accelerator
Innovative processor architectures play a critical role in sustaining performance
improvements under severe limitations imposed by feature size and energy consumption …
improvements under severe limitations imposed by feature size and energy consumption …
Leveraging disaggregated accelerators and non-volatile memories to improve the efficiency of modern datacenters
A Call Barreiro - 2022 - upcommons.upc.edu
(English) Traditional data centers consist of computing nodes that possess all the resources
physically attached. When there was the need to deal with more significant demands, the …
physically attached. When there was the need to deal with more significant demands, the …