Krishnan Srivatsan

According to our database1, Krishnan Srivatsan authored at least 4 papers between 2016 and 2018.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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In proceedings 
Article 
PhD thesis 
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Links

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Bibliography

2018
A Customizable Matrix Multiplication Framework for the Intel HARPv2 Xeon+FPGA Platform: A Deep Learning Case Study.
Proceedings of the 2018 ACM/SIGDA International Symposium on Field-Programmable Gate Arrays, 2018

2017
Customizable FPGA OpenCL matrix multiply design template for deep neural networks.
Proceedings of the International Conference on Field Programmable Technology, 2017

Can FPGAs Beat GPUs in Accelerating Next-Generation Deep Neural Networks?
Proceedings of the 2017 ACM/SIGDA International Symposium on Field-Programmable Gate Arrays, 2017

2016
Accelerating recurrent neural networks in analytics servers: Comparison of FPGA, CPU, GPU, and ASIC.
Proceedings of the 26th International Conference on Field Programmable Logic and Applications, 2016


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