Memory Optimized Dynamic Matrix Chain Multiplication Using Shared Memory in GPU-Reference-Cited by-同舟云学术

Memory Optimized Dynamic Matrix Chain Multiplication Using Shared Memory in GPU

Published:2020-12-12 Issue: Volume: Page:160-172
ISSN:0302-9743
Container-title:Distributed Computing and Internet Technology
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Author:

Biswas Girish,Mukherjee Nandini

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-030-65621-8_10

Reference12 articles.

1. Cormen, T.H., Leiserson, C.E., Rivest, R.L., Stein, C.: Introduction to Algorithms, 3rd edn. MIT Press and PHI, New Delhi (2012)

2. Nishida, K., Ito, Y., Nakano, K.: Accelerating the dynamic programming for the matrix chain product on the GPU. In: Second International Conference on Networking and Computing, pp. 320–326 (2011)

3. NVIDIA, CUDA C Programming Guide Version 4.2 (2012). https://developer.download.nvidia.com/compute/DevZone/docs/html/C/doc/CUDA_C_Programming_Guide.pdf. Accessed 22 Jun 2020

4. Wani, M.A., Quadri, S.M.K.: Accelerated dynamic programming on gpu: a study of speed up and programming approach. In: Int. J. Comput. Appl., 0975–8887 (2013)

5. NVIDIA, CUDA ZONE. https://developer.nvidia.com/cuda-zone. Accessed 12 Jul 2020

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