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Does a NAS server need a GPU? 

Flat memory model
Interleaved memory
Shared memory
Memory management
CUDA

Answers from top 8 papers

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Papers (8)Insight
Open access•Journal Article•DOI
Evaluating Modern GPU Interconnect: PCIe, NVLink, NV-SLI, NVSwitch and GPUDirect
Ang Li, Shuaiwen Leon Song, Jieyang Chen, Jiajia Li, Xu Liu, Nathan R. Tallent, Kevin J. Barker 
01 Jan 2020-IEEE Transactions on Parallel and Distributed Systems
118 Citations
These observations indicate that, for an application running in a multi-GPU node, choosing the right GPU combination can impose considerable impact on GPU communication efficiency, as well as the application's overall performance.
Proceedings Article•DOI
GPUswap: Enabling Oversubscription of GPU Memory through Transparent Swapping
Jens Kehne, Jonathan Metter, Frank Bellosa 
14 Mar 2015
38 Citations
GPUswap ensures that all data is permanently accessible to the GPU and thus allows applications to submit commands to the GPU directly at any time, without the need for software scheduling.
Journal Article•DOI
ScaleGPU: GPU Architecture for Memory-Unaware GPU Programming
Youngsok Kim, Jaewon Lee, Donggyu Kim, Jangwoo Kim 
02 Jul 2014-IEEE Computer Architecture Letters
16 Citations
Our experiments show that ScaleGPU can run a GPU application on any GPU memory size and also improves performance significantly.
Open access•Proceedings Article•DOI
Tiny GPU Cluster for Big Spatial Data: A Preliminary Performance Evaluation
Jianting Zhang, Simin You, Le Gruenwald 
29 Jun 2015
7 Citations
The tiny GPU cluster is equipped with standard gigabyte Ethernet network while has much less computing power and energy footprint when compared with a regular GPU cluster and represents a new platform with more balanced compute to communication ratio.
Proceedings Article•DOI
Implementation of 3D FFTs Across Multiple GPUs in Shared Memory Environments
Nimalan Nandapalan, Jiri Jaros, Alistair P. Rendell, Bradley E. Treeby 
14 Dec 2012
10 Citations
This clearly shows that direct GPU-to-GPU transfers are the key factor in obtaining good performance on multi-GPU systems.
Proceedings Article•DOI
Optimizing MPI Communication on Multi-GPU Systems Using CUDA Inter-Process Communication
Sreeram Potluri, Hao Wang, Devendar Bureddy, Ashish Kumar Singh, Carlos Rosales, Dhabaleswar K. Panda 
21 May 2012
82 Citations
To the best of our knowledge, this is the first paper to provide a comprehensive solution for MPI two-sided and one-sided GPU-to-GPU communication within a node, using CUDA IPC.
Journal Article•DOI
ScaleGPU: GPU Architecture for Memory-Unaware GPU Programming
Youngsok Kim, Jaewon Lee, Donggyu Kim, Jangwoo Kim 
02 Jul 2014-IEEE Computer Architecture Letters
16 Citations
ScaleGPU also achieves high performance by minimizing the amount of CPU-GPU data transfers and by utilizing the GPU memory's high bandwidth.
Proceedings Article•DOI
Implementation of 3D FFTs Across Multiple GPUs in Shared Memory Environments
Nimalan Nandapalan, Jiri Jaros, Alistair P. Rendell, Bradley E. Treeby 
14 Dec 2012
10 Citations
In particular, we demonstrate the advantage of direct GPU-to-GPU transfers over data exchanges via host main memory.

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