GPU Virtualization and Scheduling Methods
نویسندگان
چکیده
منابع مشابه
Boosting GPU Virtualization Performance with Hybrid Shadow Page Tables
The increasing adoption of Graphic Process Unit (GPU) to computation-intensive workloads has stimulated a new computing paradigm called GPU cloud (e.g., Amazon’s GPU Cloud), which necessitates the sharing of GPU resources to multiple tenants in a cloud. However, state-ofthe-art GPU virtualization techniques such as gVirt still suffer from non-trivial performance overhead for graphics memory-int...
متن کاملVirtualization Infrastructure ( VMware ESXi & NVidia GPU ) ASTOR WEB - Portal VMs
Modern data analysis applications for 2D/3D data samples require complex visual output features which are often based on OpenGL, a multi-platform API for rendering vector graphics. They demand special computing workstations with a corresponding CPU and GPU power, enough main memory and fast network interconnects for a performant remote data access. For this reason, users depend heavily on avail...
متن کاملA Full GPU Virtualization Solution with Mediated Pass-Through
Graphics Processing Unit (GPU) virtualization is an enabling technology in emerging virtualization scenarios. Unfortunately, existing GPU virtualization approaches are still suboptimal in performance and full feature support. This paper introduces gVirt, a product level GPU virtualization implementation with: 1) full GPU virtualization running native graphics driver in guest, and 2) mediated pa...
متن کاملPlacement and Scheduling of Functions in Network Function Virtualization
The virtualization of Radio Access Networks (RANs) has been proposed as one of the important use cases of Network Function Virtualization (NFV). In VRAN!s (VRAN!s), some functions from a Base Station (BS), such as those which make up the Base Band Unit (BBU), may be implemented in a shared infrastructure located at either a data center or distributed in network nodes. For the latter option, one...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: ACM Computing Surveys
سال: 2017
ISSN: 0360-0300,1557-7341
DOI: 10.1145/3068281