Toward standardized near-data processing with unrestricted data placement for GPUs-Reference-Cited by-同舟云学术

Toward standardized near-data processing with unrestricted data placement for GPUs

Published:2017-11-12 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis
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Author:

Kim Gwangsun¹,Chatterjee Niladrish²,O'Connor Mike³,Hsieh Kevin⁴

Affiliation:

1. Arm

2. NVIDIA

3. NVIDIA and UT-Austin

4. Carnegie Mellon University

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3126908.3126965

Reference48 articles.

1. 2011. CUDA C/C++ SDK code samples. NVIDIA. (2011). 2011. CUDA C/C++ SDK code samples. NVIDIA. (2011).

2. 2014. Hybrid Memory Cube Specification 2.1. Hybrid Memory Cube Consortium. (2014). 2014. Hybrid Memory Cube Specification 2.1. Hybrid Memory Cube Consortium. (2014).

3. 2016. NVIDIA Tesla P100. (2016). NVIDIA white paper. 2016. NVIDIA Tesla P100. (2016). NVIDIA white paper.

4. 2017. JEDEC Solid State Technology Association. (2017). http://jedec.org. 2017. JEDEC Solid State Technology Association. (2017). http://jedec.org.

5. A scalable processing-in-memory accelerator for parallel graph processing

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