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Elbruz Ozen
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2020 – today
- 2023
- [b1]Elbruz Ozen:
Algorithm-Centric Design of Reliable and Efficient Deep Learning Processing Systems. University of California, San Diego, USA, 2023 - [j6]Elbruz Ozen
, Alex Orailoglu
Shaping Resilient AI Hardware Through DNN Computational Feature Exploitation. IEEE Des. Test 40(2): 59-66 (2023) - [j5]Elbruz Ozen
Unleashing the Potential of Sparse DNNs Through Synergistic Hardware-Sparsity Co-Design. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 42(4): 1147-1160 (2023) - 2022
- [j4]Elbruz Ozen
Architecting Decentralization and Customizability in DNN Accelerators for Hardware Defect Adaptation. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 41(11): 3934-3945 (2022) - 2021
- [j3]Elbruz Ozen, Alex Orailoglu:
SNR: Squeezing Numerical Range Defuses Bit Error Vulnerability Surface in Deep Neural Networks. ACM Trans. Embed. Comput. Syst. 20(5s): 76:1-76:25 (2021) - [c6]Elbruz Ozen, Alex Orailoglu:
Evolving Complementary Sparsity Patterns for Hardware-Friendly Inference of Sparse DNNs. ICCAD 2021: 1-8 - 2020
- [j2]Elbruz Ozen
Low-Cost Error Detection in Deep Neural Network Accelerators with Linear Algorithmic Checksums. J. Electron. Test. 36(6): 703-718 (2020) - [j1]Elbruz Ozen
Boosting Bit-Error Resilience of DNN Accelerators Through Median Feature Selection. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 39(11): 3250-3262 (2020) - [c5]Elbruz Ozen
Concurrent Monitoring of Operational Health in Neural Networks Through Balanced Output Partitions. ASP-DAC 2020: 169-174 - [c4]Elbruz Ozen
Just Say Zero: Containing Critical Bit-Error Propagation in Deep Neural Networks With Anomalous Feature Suppression. ICCAD 2020: 75:1-75:9 - [c3]Elbruz Ozen
Squeezing Correlated Neurons for Resource-Efficient Deep Neural Networks. ECML/PKDD (2) 2020: 52-68
2010 – 2019
- 2019
- [c2]Elbruz Ozen
The Return of Power Gating: Smart Leakage Energy Reductions in Modern Out-of-Order Processor Architectures. ARCS 2019: 253-266 - [c1]Elbruz Ozen
Sanity-Check: Boosting the Reliability of Safety-Critical Deep Neural Network Applications. ATS 2019: 7-12
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