Nitish Kumar Srivastava
Nitish Kumar Srivastava
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Rosetta: A realistic high-level synthesis benchmark suite for software programmable fpgas
Y Zhou, U Gupta, S Dai, R Zhao, N Srivastava, H Jin, J Featherston, ...
Proceedings of the 2018 ACM/SIGDA International Symposium on Field …, 2018
Matraptor: A sparse-sparse matrix multiplication accelerator based on row-wise product
N Srivastava, H Jin, J Liu, D Albonesi, Z Zhang
2020 53rd Annual IEEE/ACM International Symposium on Microarchitecture …, 2020
Tensaurus: A versatile accelerator for mixed sparse-dense tensor computations
N Srivastava, H Jin, S Smith, H Rong, D Albonesi, Z Zhang
2020 IEEE International Symposium on High Performance Computer Architecture …, 2020
T2S-Tensor: Productively generating high-performance spatial hardware for dense tensor computations
N Srivastava, H Rong, P Barua, G Feng, H Cao, Z Zhang, D Albonesi, ...
2019 IEEE 27th Annual International Symposium on Field-Programmable Custom …, 2019
Flexible and dynamic power allocation in broadband multi-beam satellites
NK Srivastava, AK Chaturvedi
IEEE communications letters 17 (9), 1722-1725, 2013
Accelerating face detection on programmable SoC using C-based synthesis
NK Srivastava, S Dai, R Manohar, Z Zhang
Proceedings of the 2017 ACM/SIGDA International Symposium on Field …, 2017
Operation-Dependent Frequency Scaling Using Desynchronization
N Srivastava, R Manohar
IEEE Transactions on Very Large Scale Integration (VLSI) Systems 27 (4), 799-809, 2018
Design and Generation of Efficient Hardware Accelerators for Sparse and Dense Tensor Computations
NK Srivastava
Cornell University, 2020
Pointer-Chase Prefetcher for Linked Data Structures
NK Srivastava, AD Navalakha
arXiv preprint arXiv:1801.08088, 2018
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