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rCUDA

rCUDA, which stands for Remote CUDA, is a type of middleware software framework for remote GPU virtualization. Fully compatible with the CUDA… 
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CUDAMiddlewareSupercomputerVirtual machine

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2018
2018
Made-to-Measure GPUs on Virtual Machines with rCUDA
Virtual machines (VMs) are a mature technology widely used worldwide during the last decades. VMs allow to reduce acquisition… 
2016
2016
MAGC: A Mapping Approach for GPU Clusters
GPU accelerators have been increasingly used in modern heterogeneous HPC clusters by offering high performance and energy… 
2016
2016
CUDA acceleration for Xen virtual machines in infiniband clusters with rCUDA
Many data centers currently use virtual machines (VMs) to achieve a more efficient usage of hardware resources. However, current… 
2016
2016
Serving More GPU Jobs, with Low Penalty, Using Remote GPU Execution and Migration
Remote GPU execution has been proven to increase GPU occupancy and reduce job waiting time in multi-GPU batch-queue systems, by… 
2016
2016
Benefits of remote GPU virtualization: the rCUDA perspective
request from the accelerated application and appropriately processes and forwards it to the remote server. In the server node… 
2016
2016
Deploying rCUDA in cloud computing environments
  • 2016
  • Corpus ID: 51995178
The use of GPUs in cloud computing environments is increasingly becoming mainstream. CUDA applications being executed inside a… 
2015
2015
Exploring the Suitability of Remote GPGPU Virtualization for the OpenACC Programming Model Using rCUDA
OpenACC is an application programming interface (API) that aims to unleash the power of heterogeneous systems composed of CPUs… 
2015
2015
Exploiting Task-Parallelism on GPU Clusters via OmpSs and rCUDA Virtualization
OmpSs is a task-parallel programming model consisting of a reduced collection of OpenMP-like directives, a front-end compiler… 
2014
2014
Using rCUDA to Reduce GPU Resource-Assignment Fragmentation Caused by Job Scheduler
In heterogeneous supercomputers such as TSUBAME2.5, GPUs on some nodes in GPU batch queues are left idle even though there are… 
Review
2012
Review
2012
Supporting grid-enabled GPU workloads using rCUDA and StratusLab
Recent advances in hardware and software virtualisation capabilities have made it possible to customise hardware and software… 
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