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ORCIDAmey M. Kulkarni
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- affiliation: University of Maryland, Baltimore County, USA
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2010 – 2019
- 2019
[p1]Amey M. Kulkarni, Tinoosh Mohsenin:
SENSE: Sketching Framework for Big Data Acceleration on Low Power Embedded Cores. Security and Fault Tolerance in Internet of Things 2019: 201-214- 2018
- [j4]Amey M. Kulkarni, Colin Shea, Tahmid Abtahi, Houman Homayoun, Tinoosh Mohsenin:
Low Overhead CS-Based Heterogeneous Framework for Big Data Acceleration. ACM Trans. Embed. Comput. Syst. 17(1): 25:1-25:25 (2018) - [j3]Tahmid Abtahi
, Colin Shea, Amey M. Kulkarni, Tinoosh Mohsenin:
Accelerating Convolutional Neural Network With FFT on Embedded Hardware. IEEE Trans. Very Large Scale Integr. Syst. 26(9): 1737-1749 (2018) - 2017
- [j2]Amey M. Kulkarni, Tinoosh Mohsenin:
Low Overhead Architectures for OMP Compressive Sensing Reconstruction Algorithm. IEEE Trans. Circuits Syst. I Regul. Pap. 64-I(6): 1468-1480 (2017) - [c13]Amey M. Kulkarni, Colin Shea, Houman Homayoun, Tinoosh Mohsenin:
LESS: Big data sketching and Encryption on low power platform. DATE 2017: 1631-1634 - [c12]Morteza Hosseini, Rashidul Islam, Amey M. Kulkarni, Tinoosh Mohsenin:
A Scalable FPGA-Based Accelerator for High-Throughput MCMC Algorithms. FCCM 2017: 201 - [c11]Tahmid Abtahi, Amey M. Kulkarni, Tinoosh Mohsenin:
Accelerating convolutional neural network with FFT on tiny cores. ISCAS 2017: 1-4 - [c10]Adwaya Kulkarni, Tahmid Abtahi, Colin Shea, Amey M. Kulkarni, Tinoosh Mohsenin:
PACENet: Energy efficient acceleration for convolutional network on embedded platform. ISCAS 2017: 1-4 - 2016
- [j1]Amey M. Kulkarni, Youngok K. Pino, Matthew French, Tinoosh Mohsenin:
Real-Time Anomaly Detection Framework for Many-Core Router through Machine-Learning Techniques. ACM J. Emerg. Technol. Comput. Syst. 13(1): 10:1-10:22 (2016) - [c9]Amey M. Kulkarni, Ali Jafari, Colin Shea, Tinoosh Mohsenin:
CS-Based Secured Big Data Processing on FPGA. FCCM 2016: 201 - [c8]Amey M. Kulkarni, Tahmid Abtahi, Emily Smith, Tinoosh Mohsenin:
Low Energy Sketching Engines on Many-Core Platform for Big Data Acceleration. ACM Great Lakes Symposium on VLSI 2016: 57-62 - [c7]Amey M. Kulkarni, Youngok K. Pino, Tinoosh Mohsenin:
Adaptive real-time Trojan detection framework through machine learning. HOST 2016: 120-123 - [c6]Amey M. Kulkarni, Ali Jafari, Chris Sagedy, Tinoosh Mohsenin:
Sketching-based high-performance biomedical big data processing accelerator. ISCAS 2016: 1138-1141 - [c5]Amey M. Kulkarni, Youngok K. Pino, Tinoosh Mohsenin:
SVM-based real-time hardware Trojan detection for many-core platform. ISQED 2016: 362-367 - 2015
- [c4]Adam Page, Amey M. Kulkarni, Tinoosh Mohsenin:
Utilizing deep neural nets for an embedded ECG-based biometric authentication system. BioCAS 2015: 1-4 - [c3]Amey M. Kulkarni, Tinoosh Mohsenin:
Accelerating compressive sensing reconstruction OMP algorithm with CPU, GPU, FPGA and domain specific many-core. ISCAS 2015: 970-973 - 2014
- [c2]Amey M. Kulkarni, Houman Homayoun, Tinoosh Mohsenin:
A parallel and reconfigurable architecture for efficient OMP compressive sensing reconstruction. ACM Great Lakes Symposium on VLSI 2014: 299-304 - [c1]Mohammad Khavari Tavana, Amey M. Kulkarni, Abbas Rahimi, Tinoosh Mohsenin, Houman Homayoun:
Energy-efficient mapping of biomedical applications on domain-specific accelerator under process variation. ISLPED 2014: 275-278
Coauthor Index
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