Scheduling Techniques for GPU Architectures with Processing-In-Memory Capabilities-Reference-Cited by-同舟云学术

Scheduling Techniques for GPU Architectures with Processing-In-Memory Capabilities

Published:2016-09-11 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 2016 International Conference on Parallel Architectures and Compilation
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Author:

Pattnaik Ashutosh¹,Tang Xulong¹,Jog Adwait²,Kayiran Onur³,Mishra Asit K.⁴,Kandemir Mahmut T.¹,Mutlu Onur⁵,Das Chita R.¹

Affiliation:

1. The Pennsylvania State University, University Park, PA, USA

2. The College of William and Mary, Williamsburg, VA, USA

3. Advanced Micro Devices Inc., Sunnyvale, CA, USA

4. Intel Corporation, Hillsboro, OR, USA

5. Carnegie Mellon University, Pittsburgh, PA, USA

Funder

National Science Foundation

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/2967938.2967940

Reference114 articles.

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3. J. Ahn phet al. "A Scalable Processing-in-memory Accelerator for Parallel Graph Processing " in ISCA 2015. 10.1145/2749469.2750386 J. Ahn phet al. "A Scalable Processing-in-memory Accelerator for Parallel Graph Processing " in ISCA 2015. 10.1145/2749469.2750386

4. J. Ahn phet al. "PIM-enabled Instructions: A Low-overhead Locality-aware Processing-In-Memory Architecture " in ISCA 2015. 10.1145/2749469.2750385 J. Ahn phet al. "PIM-enabled Instructions: A Low-overhead Locality-aware Processing-In-Memory Architecture " in ISCA 2015. 10.1145/2749469.2750385

5. A. M. Aji phet al. "Automatic Command Queue Scheduling for Task-Parallel Workloads in OpenCL " in CLUSTER 2015. 10.1109/CLUSTER.2015.15 A. M. Aji phet al. "Automatic Command Queue Scheduling for Task-Parallel Workloads in OpenCL " in CLUSTER 2015. 10.1109/CLUSTER.2015.15

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