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ORCIDTajana Rosing
Tajana Simunic Rosing – Tajana Simunic – Tajana Šimunić Rosing
Person information
- unicode name: Tajana Šimunić Rosing
- affiliation: University of California, San Diego, CA, USA
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2020 – today
- 2022
[j59]Kazim Ergun, Raid Ayoub, Pietro Mercati, Tajana Rosing:
Reinforcement learning based reliability-aware routing in IoT networks. Ad Hoc Networks 132: 102869 (2022)- [j58]Onat Güngör, Tajana Rosing, Baris Aksanli:
STEWART: STacking Ensemble for White-Box AdversaRial Attacks Towards more resilient data-driven predictive maintenance. Comput. Ind. 140: 103660 (2022) - [j57]Onat Güngör
, Tajana Rosing, Baris Aksanli:
DOWELL: Diversity-Induced Optimally Weighted Ensemble Learner for Predictive Maintenance of Industrial Internet of Things Devices. IEEE Internet Things J. 9(4): 3125-3134 (2022) - [j56]Saransh Gupta, Mohsen Imani, Joonseop Sim, Andrew Huang, Fan Wu, Jaeyoung Kang, Yeseong Kim, Tajana Simunic Rosing:
COSMO: Computing with Stochastic Numbers in Memory. ACM J. Emerg. Technol. Comput. Syst. 18(2): 37:1-37:25 (2022) - [j55]Justin Morris, Roshan Fernando, Yilun Hao, Mohsen Imani, Baris Aksanli, Tajana Rosing:
Locality-Based Encoder and Model Quantization for Efficient Hyper-Dimensional Computing. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 41(4): 897-907 (2022) - [j54]Sahand Salamat, Hui Zhang, Yang-Seok Ki, Tajana Rosing:
NASCENT2: Generic Near-Storage Sort Accelerator for Data Analytics on SmartSSD. ACM Trans. Reconfigurable Technol. Syst. 15(2): 16:1-16:29 (2022) - [c242]Jaeyoung Kang, Behnam Khaleghi, Yeseong Kim, Tajana Rosing:
XCelHD: An Efficient GPU-Powered Hyperdimensional Computing with Parallelized Training. ASP-DAC 2022: 220-225 - [c241]Yang Ni, Yeseong Kim, Tajana Rosing, Mohsen Imani:
Algorithm-Hardware Co-Design for Efficient Brain-Inspired Hyperdimensional Learning on Edge. DATE 2022: 292-297 - [c240]Michael H. Ostertag, Jason Ma, Tajana Rosing:
Remote Sensing with UAV and Mobile Recharging Vehicle Rendezvous. DATE 2022: 538-543 - [c239]Yang Ni, Yeseong Kim, Tajana Rosing, Mohsen Imani:
Online Performance and Power Prediction for Edge TPU via Comprehensive Characterization. DATE 2022: 612-615 - [c238]Justin Morris, Hin Wai Lui, Kenneth Stewart, Behnam Khaleghi, Anthony Thomas, Thiago Marback, Baris Aksanli, Emre Neftci, Tajana Rosing:
HyperSpike: HyperDimensional Computing for More Efficient and Robust Spiking Neural Networks. DATE 2022: 664-669 - [c237]Yizhou Wei, Minxuan Zhou, Sihang Liu, Korakit Seemakhupt, Tajana Rosing, Samira Manabi Khan:
PIMProf: An Automated Program Profiler for Processing-in-Memory Offloading Decisions. DATE 2022: 855-860 - [c236]Arpan Dutta, Saransh Gupta, Behnam Khaleghi, Rishikanth Chandrasekaran, Weihong Xu, Tajana Rosing:
HDnn-PIM: Efficient in Memory Design of Hyperdimensional Computing with Feature Extraction. ACM Great Lakes Symposium on VLSI 2022: 281-286 - [c235]Minxuan Zhou, Weihong Xu, Jaeyoung Kang, Tajana Rosing:
TransPIM: A Memory-based Acceleration via Software-Hardware Co-Design for Transformer. HPCA 2022: 1071-1085 - [c234]Anthony Thomas, Sanjoy Dasgupta, Tajana Rosing:
A Theoretical Perspective on Hyperdimensional Computing (Extended Abstract). IJCAI 2022: 5772-5776 - [c233]Emily Ekaireb, Xiaofan Yu, Kazim Ergun, Quanling Zhao, Kai Lee, Muhammad Huzaifa, Tajana Rosing:
ns3-fl: Simulating Federated Learning with ns-3. WNS3 2022: 97-104 - [i18]Onat Güngör, Tajana Rosing, Baris Aksanli:
RES-HD: Resilient Intelligent Fault Diagnosis Against Adversarial Attacks Using Hyper-Dimensional Computing. CoRR abs/2203.08148 (2022) - [i17]Saransh Gupta, Rosario Cammarota, Tajana Rosing:
MemFHE: End-to-End Computing with Fully Homomorphic Encryption in Memory. CoRR abs/2204.12557 (2022) - 2021
- [j53]Anthony Thomas, Sanjoy Dasgupta, Tajana Rosing:
A Theoretical Perspective on Hyperdimensional Computing. J. Artif. Intell. Res. 72: 215-249 (2021) - [c232]Minxuan Zhou, Guoyang Chen, Mohsen Imani, Saransh Gupta, Weifeng Zhang, Tajana Rosing:
PIM-DL: Boosting DNN Inference on Digital Processing In-Memory Architectures via Data Layout Optimizations. PACT 2021: 1 - [c231]Minxuan Zhou, Lingxi Wu, Muzhou Li, Niema Moshiri, Kevin Skadron, Tajana Rosing:
Ultra Efficient Acceleration for De Novo Genome Assembly via Near-Memory Computing. PACT 2021: 199-212 - [c230]Sahand Salamat, Sumiran Shubhi, Behnam Khaleghi, Tajana Rosing:
Residue-Net: Multiplication-free Neural Network by In-situ No-loss Migration to Residue Number Systems. ASP-DAC 2021: 222-228 - [c229]Yunhui Guo, Mohsen Imani, Jaeyoung Kang, Sahand Salamat, Justin Morris, Baris Aksanli, Yeseong Kim, Tajana Rosing:
HyperRec: Efficient Recommender Systems with Hyperdimensional Computing. ASP-DAC 2021: 384-389 - [c228]Kazim Ergun, Raid Ayoub, Pietro Mercati, Dancheng Liu, Tajana Rosing:
Energy and QoS-Aware Dynamic Reliability Management of IoT Edge Computing Systems. ASP-DAC 2021: 561-567 - [c227]Minxuan Zhou, Mohsen Imani, Yeseong Kim, Saransh Gupta, Tajana Rosing:
DP-Sim: A Full-stack Simulation Infrastructure for Digital Processing In-Memory Architectures. ASP-DAC 2021: 639-644 - [c226]Akshay Paul, Gopabandhu Hota, Behnam Khaleghi, Yuchen Xu, Tajana Rosing, Gert Cauwenberghs:
Attention State Classification with In-Ear EEG. BioCAS 2021: 1-5 - [c225]Xiaofan Yu, Weihong Xu, Ludmila Cherkasova, Tajana Simunic Rosing:
Automating Reliable and Fault-Tolerant Design of LoRa-based IoT Networks. CNSM 2021: 455-463 - [c224]Minxuan Zhou, Yunhui Guo, Weihong Xu, Bin Li, Kevin W. Eliceiri, Tajana Rosing:
MAT: Processing In-Memory Acceleration for Long-Sequence Attention. DAC 2021: 25-30 - [c223]Saransh Gupta, Tajana Simunic Rosing:
Invited: Accelerating Fully Homomorphic Encryption with Processing in Memory. DAC 2021: 1335-1338 - [c222]Minxuan Zhou, Muzhou Li, Mohsen Imani, Tajana Rosing:
HyGraph: Accelerating Graph Processing with Hybrid Memory-centric Computing. DATE 2021: 330-335 - [c221]Behnam Khaleghi, Hanyang Xu, Justin Morris, Tajana Simunic Rosing:
tiny-HD: Ultra-Efficient Hyperdimensional Computing Engine for IoT Applications. DATE 2021: 408-413 - [c220]Ricardo Garcia, Fatemeh Asgarinejad, Behnam Khaleghi, Tajana Rosing, Mohsen Imani:
TruLook: A Framework for Configurable GPU Approximation. DATE 2021: 487-490 - [c219]Justin Morris, Kazim Ergun, Behnam Khaleghi, Mohsen Imani, Baris Aksanli, Tajana Rosing:
HyDREA: Towards More Robust and Efficient Machine Learning Systems with Hyperdimensional Computing. DATE 2021: 723-728 - [c218]Sahand Salamat, Jaeyoung Kang, Yeseong Kim, Mohsen Imani, Niema Moshiri, Tajana Rosing:
FPGA Acceleration of Protein Back-Translation and Alignment. DATE 2021: 822-827 - [c217]Sahand Salamat, Armin Haj Aboutalebi, Behnam Khaleghi, Joo Hwan Lee, Yang-Seok Ki, Tajana Rosing:
NASCENT: Near-Storage Acceleration of Database Sort on SmartSSD. FPGA 2021: 262-272 - [c216]Mohsen Imani, Zhuowen Zou, Samuel Bosch, Sanjay Anantha Rao, Sahand Salamat, Venkatesh Kumar, Yeseong Kim, Tajana Rosing:
Revisiting HyperDimensional Learning for FPGA and Low-Power Architectures. HPCA 2021: 221-234 - [c215]Yeseong Kim, Mohsen Imani, Saransh Gupta, Minxuan Zhou, Tajana Simunic Rosing:
Massively Parallel Big Data Classification on a Programmable Processing In-Memory Architecture. ICCAD 2021: 1-9 - [c214]Justin Morris, Si Thu Kaung Set, Gadi Rosen, Mohsen Imani, Baris Aksanli, Tajana Rosing:
AdaptBit-HD: Adaptive Model Bitwidth for Hyperdimensional Computing. ICCD 2021: 93-100 - [c213]Yilun Hao, Saransh Gupta, Justin Morris, Behnam Khaleghi, Baris Aksanli, Tajana Rosing:
Stochastic-HD: Leveraging Stochastic Computing on Hyper-Dimensional Computing. ICCD 2021: 321-325 - [c212]Onat Güngör, Tajana Rosing, Baris Aksanli:
OPELRUL: OPtimally Weighted Ensemble Learner for Remaining Useful Life Prediction. ICPHM 2021: 1-8 - [c211]Jason Ma, Michael H. Ostertag, Dinesh Bharadia, Tajana Rosing:
Frequency-aware Trajectory and Power Control for Multi-UAV Systems. INFOCOM Workshops 2021: 1-6 - [c210]Xiao Liu, Minxuan Zhou, Rachata Ausavarungnirun, Sean Eilert, Ameen Akel, Tajana Rosing, Vijaykrishnan Narayanan, Jishen Zhao:
FPRA: A Fine-grained Parallel RRAM Architecture. ISLPED 2021: 1-6 - [c209]Alice Sokolova, Mohsen Imani, Andrew Huang, Ricardo Garcia, Justin Morris, Tajana Rosing, Baris Aksanli:
MACcelerator: Approximate Arithmetic Unit for Computational Acceleration. ISQED 2021: 444-449 - [c208]Kazim Ergun, Raid Ayoub, Pietro Mercati, Tajana Rosing:
Improving Mean Time to Failure of IoT Networks with Reliability-Aware Routing. MECO 2021: 1-4 - [c207]Stephen Xia, Rishikanth Chandrasekaran, Yanchen Liu, Chenye Yang, Tajana Simunic Rosing, Xiaofan Jiang:
A Drone-based System for Intelligent and Autonomous Homes. SenSys 2021: 349-350 - 2020
- [j52]Mohsen Imani, Justin Morris, Helen Shu, Shou Li, Tajana Rosing:
Efficient Associative Search in Brain-Inspired Hyperdimensional Computing. IEEE Des. Test 37(1): 28-35 (2020) - [j51]Sahand Salamat, Mohsen Imani, Tajana Rosing:
Accelerating Hyperdimensional Computing on FPGAs by Exploiting Computational Reuse. IEEE Trans. Computers 69(8): 1159-1171 (2020) - [j50]Daniel Peroni, Mohsen Imani, Tajana Simunic Rosing:
Runtime Efficiency-Accuracy Tradeoff Using Configurable Floating Point Multiplier. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 39(2): 346-358 (2020) - [j49]Mohsen Imani, Samuel Bosch, Sohum Datta, Sharadhi Ramakrishna, Sahand Salamat, Jan M. Rabaey, Tajana Rosing:
QuantHD: A Quantization Framework for Hyperdimensional Computing. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 39(10): 2268-2278 (2020) - [j48]Mohsen Imani, Xunzhao Yin, John Messerly, Saransh Gupta, Michael T. Niemier, Xiaobo Sharon Hu, Tajana Rosing:
SearcHD: A Memory-Centric Hyperdimensional Computing With Stochastic Training. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 39(10): 2422-2433 (2020) - [j47]Xiaofan Yu, Kazim Ergun, Ludmila Cherkasova, Tajana Simunic Rosing:
Optimizing Sensor Deployment and Maintenance Costs for Large-Scale Environmental Monitoring. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 39(11): 3918-3930 (2020) - [j46]Daniel Peroni, Mohsen Imani, Hamid Nejatollahi, Nikil D. Dutt, Tajana Rosing:
Data Reuse for Accelerated Approximate Warps. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 39(12): 4623-4634 (2020) - [j45]Baris Aksanli, Tajana Simunic Rosing:
Human Behavior Aware Energy Management in Residential Cyber-Physical Systems. IEEE Trans. Emerg. Top. Comput. 8(1): 45-57 (2020) - [c206]Yunhui Guo, Yandong Li, Liqiang Wang, Tajana Rosing:
AdaFilter: Adaptive Filter Fine-Tuning for Deep Transfer Learning. AAAI 2020: 4060-4066 - [c205]Xiaofan Yu, Xueyang Song, Ludmila Cherkasova, Tajana Simunic Rosing:
Reliability-Driven Deployment in Energy-Harvesting Sensor Networks. CNSM 2020: 1-9 - [c204]Behnam Khaleghi, Mohsen Imani, Tajana Rosing:
Prive-HD: Privacy-Preserved Hyperdimensional Computing. DAC 2020: 1-6 - [c203]Hamid Nejatollahi, Saransh Gupta, Mohsen Imani, Tajana Simunic Rosing, Rosario Cammarota, Nikil D. Dutt:
CryptoPIM: In-memory Acceleration for Lattice-based Cryptographic Hardware. DAC 2020: 1-6 - [c202]Yeseong Kim, Mohsen Imani, Niema Moshiri, Tajana Rosing:
GenieHD: Efficient DNA Pattern Matching Accelerator Using Hyperdimensional Computing. DATE 2020: 115-120 - [c201]Michael H. Ostertag, Sarah Al-Doweesh, Tajana Rosing:
Efficient Training on Edge Devices Using Online Quantization. DATE 2020: 1011-1014 - [c200]Saransh Gupta, Mohsen Imani, Joonseop Sim, Andrew Huang, Fan Wu, M. Hassan Najafi, Tajana Rosing:
SCRIMP: A General Stochastic Computing Architecture using ReRAM in-Memory Processing. DATE 2020: 1598-1601 - [c199]Kazim Ergun, Xiaofan Yu, Nitish Nagesh, Ludmila Cherkasova, Pietro Mercati, Raid Ayoub, Tajana Rosing:
Simulating Reliability of IoT Networks with RelIoT. DSN (Supplements) 2020: 25-28 - [c198]Yunhui Guo, Noel Codella, Leonid Karlinsky, James V. Codella, John R. Smith, Kate Saenko, Tajana Rosing, Rogério Feris:
A Broader Study of Cross-Domain Few-Shot Learning. ECCV (27) 2020: 124-141 - [c197]Fatemeh Asgarinejad, Anthony Thomas, Tajana Rosing:
Detection of Epileptic Seizures from Surface EEG Using Hyperdimensional Computing. EMBC 2020: 536-540 - [c196]Mohsen Imani, Mohammad Samragh Razlighi, Yeseong Kim, Saransh Gupta, Farinaz Koushanfar, Tajana Rosing:
Deep Learning Acceleration with Neuron-to-Memory Transformation. HPCA 2020: 1-14 - [c195]Saransh Gupta, Justin Morris, Mohsen Imani, Ranganathan Ramkumar, Jeffrey Yu, Aniket Tiwari, Baris Aksanli, Tajana Simunic Rosing:
THRIFTY: Training with Hyperdimensional Computing across Flash Hierarchy. ICCAD 2020: 27:1-27:9 - [c194]Behnam Khaleghi, Sahand Salamat, Tajana Simunic Rosing:
Revisiting FPGA Routing under Varying Operating Conditions. FPT 2020: 94-102 - [c193]Kazim Ergun, Xiaofan Yu, Nitish Nagesh, Ludmila Cherkasova, Pietro Mercati, Raid Ayoub, Tajana Rosing:
RelIoT: Reliability Simulator for IoT Networks. ICIOT 2020: 63-81 - [c192]Behnam Khaleghi, Sahand Salamat, Anthony Thomas, Fatemeh Asgarinejad, Yeseong Kim, Tajana Rosing:
SHEARer: highly-efficient hyperdimensional computing by software-hardware enabled multifold approximation. ISLPED 2020: 241-246 - [c191]Saransh Gupta, Mohsen Imani, Hengyu Zhao, Fan Wu, Jishen Zhao, Tajana Simunic Rosing:
Implementing binary neural networks in memory with approximate accumulation. ISLPED 2020: 247-252 - [c190]Mohsen Imani, Saikishan Pampana, Saransh Gupta, Minxuan Zhou, Yeseong Kim, Tajana Rosing:
DUAL: Acceleration of Clustering Algorithms using Digital-based Processing In-Memory. MICRO 2020: 356-371 - [c189]Yunhui Guo, Xiaofan Yu, Kamalika Chaudhuri, Tajana Rosing:
Efficient Distributed Training in Heterogeneous Mobile Networks with Active Sampling. MSN 2020: 174-181 - [c188]Yunhui Guo, Mingrui Liu, Tianbao Yang, Tajana Rosing:
Improved Schemes for Episodic Memory-based Lifelong Learning. NeurIPS 2020 - [c187]Onat Güngör, Jake Garnier, Tajana Simunic Rosing, Baris Aksanli:
LENARD: Lightweight ENsemble LeARner for MeDium-term Electricity Consumption Prediction. SmartGridComm 2020: 1-6 - [c186]Mohsen Imani, Saransh Gupta, Yeseong Kim, Tajana Rosing:
Deep Learning Acceleration using Digital-Based Processing In-Memory. SoCC 2020: 123-128 - [c185]Justin Morris, Yilun Hao, Saransh Gupta, Ranganathan Ramkumar, Jeffrey Yu, Mohsen Imani, Baris Aksanli, Tajana Rosing:
Multi-label HD Classification in 3D Flash. VLSI-SOC 2020: 10-15 - [i16]Sahand Salamat, Tajana Rosing:
FPGA Acceleration of Sequence Alignment: A Survey. CoRR abs/2002.02394 (2020) - [i15]Behnam Khaleghi, Mohsen Imani, Tajana Rosing:
Prive-HD: Privacy-Preserved Hyperdimensional Computing. CoRR abs/2005.06716 (2020) - [i14]Behnam Khaleghi, Sahand Salamat, Anthony Thomas, Fatemeh Asgarinejad, Yeseong Kim, Tajana Rosing:
SHEARer: Highly-Efficient Hyperdimensional Computing by Software-Hardware Enabled Multifold Approximation. CoRR abs/2007.10330 (2020) - [i13]Rosario Cammarota, Matthias Schunter, Anand Rajan, Fabian Boemer, Ágnes Kiss, Amos Treiber, Christian Weinert, Thomas Schneider, Emmanuel Stapf, Ahmad-Reza Sadeghi, Daniel Demmler, Huili Chen, Siam Umar Hussain, M. Sadegh Riazi, Farinaz Koushanfar, Saransh Gupta, Tajana Simunic Rosing, Kamalika Chaudhuri, Hamid Nejatollahi, Nikil D. Dutt, Mohsen Imani, Kim Laine, Anuj Dubey, Aydin Aysu, Fateme Sadat Hosseini, Chengmo Yang, Eric Wallace, Pamela Norton:
Trustworthy AI Inference Systems: An Industry Research View. CoRR abs/2008.04449 (2020) - [i12]Anthony Thomas, Sanjoy Dasgupta, Tajana Rosing:
Theoretical Foundations of Hyperdimensional Computing. CoRR abs/2010.07426 (2020) - [i11]Hamid Nejatollahi, Saransh Gupta, Mohsen Imani, Tajana Simunic Rosing, Rosario Cammarota, Nikil D. Dutt:
CryptoPIM: In-memory Acceleration for Lattice-based Cryptographic Hardware. IACR Cryptol. ePrint Arch. 2020: 276 (2020)
2010 – 2019
- 2019
- [j44]An Chen, Supriyo Datta, Xiaobo Sharon Hu, Michael T. Niemier, Tajana Simunic Rosing, J. Joshua Yang:
A Survey on Architecture Advances Enabled by Emerging Beyond-CMOS Technologies. IEEE Des. Test 36(3): 46-68 (2019) - [j43]Mohsen Imani, Ricardo Garcia, Saransh Gupta, Tajana Rosing:
Hardware-Software Co-design to Accelerate Neural Network Applications. ACM J. Emerg. Technol. Comput. Syst. 15(2): 21:1-21:18 (2019) - [j42]Yeseong Kim, Mohsen Imani, Tajana Simunic Rosing:
Image Recognition Accelerator Design Using In-Memory Processing. IEEE Micro 39(1): 17-23 (2019) - [j41]Saransh Gupta, Mohsen Imani, Harveen Kaur, Tajana Simunic Rosing:
NNPIM: A Processing In-Memory Architecture for Neural Network Acceleration. IEEE Trans. Computers 68(9): 1325-1337 (2019) - [j40]Mohsen Imani, Saransh Gupta, Sahil Sharma, Tajana Simunic Rosing:
NVQuery: Efficient Query Processing in Nonvolatile Memory. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 38(4): 628-639 (2019) - [j39]Christine S. Chan, Alper Sinan Akyürek, Baris Aksanli, Tajana Simunic Rosing:
Optimal Performance-Aware Cooling on Enterprise Servers. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 38(9): 1689-1702 (2019) - [j38]Mohsen Imani, Daniel Peroni, Abbas Rahimi, Tajana Simunic Rosing:
Resistive CAM Acceleration for Tunable Approximate Computing. IEEE Trans. Emerg. Top. Comput. 7(2): 271-280 (2019) - [c184]Mohsen Imani, Yeseong Kim, M. Sadegh Riazi, John Messerly, Patric Liu, Farinaz Koushanfar, Tajana Rosing:
A Framework for Collaborative Learning in Secure High-Dimensional Space. CLOUD 2019: 435-446 - [c183]Yunhui Guo, Yandong Li, Liqiang Wang, Tajana Rosing:
Depthwise Convolution Is All You Need for Learning Multiple Visual Domains. AAAI 2019: 8368-8375 - [c182]Michael H. Ostertag, Nikolay Atanasov, Tajana Rosing:
Robust Velocity Control for Minimum Steady State Uncertainty in Persistent Monitoring Applications. ACC 2019: 2501-2508 - [c181]Mohsen Imani, Sahand Salamat, Saransh Gupta, Jiani Huang, Tajana Rosing:
FACH: FPGA-based acceleration of hyperdimensional computing by reducing computational complexity. ASP-DAC 2019: 493-498 - [c180]Minxuan Zhou, Mohsen Imani, Saransh Gupta, Yeseong Kim, Tajana Rosing:
GRAM: graph processing in a ReRAM-based computational memory. ASP-DAC 2019: 591-596 - [c179]Daniel Peroni, Mohsen Imani, Tajana Rosing:
ALook: adaptive lookup for GPGPU acceleration. ASP-DAC 2019: 739-746 - [c178]Mohsen Imani, Justin Morris, Samuel Bosch, Helen Shu, Giovanni De Micheli, Tajana Rosing:
AdaptHD: Adaptive Efficient Training for Brain-Inspired Hyperdimensional Computing. BioCAS 2019: 1-4 - [c177]Yunhui Guo, Honghui Shi, Abhishek Kumar, Kristen Grauman, Tajana Rosing, Rogério Schmidt Feris:
SpotTune: Transfer Learning Through Adaptive Fine-Tuning. CVPR 2019: 4805-4814 - [c176]Daniel Peroni, Mohsen Imani, Hamid Nejatollahi, Nikil D. Dutt, Tajana Rosing:
ARGA: Approximate Reuse for GPGPU Acceleration. DAC 2019: 8 - [c175]Mohsen Imani, Justin Morris, John Messerly, Helen Shu, Yaobang Deng, Tajana Rosing:
BRIC: Locality-based Encoding for Energy-Efficient Brain-Inspired Hyperdimensional Computing. DAC 2019: 52 - [c174]Mohsen Imani, Alice Sokolova, Ricardo Garcia, Andrew Huang, Fan Wu, Baris Aksanli, Tajana Rosing:
ApproxLP: Approximate Multiplication with Linearization and Iterative Error Control. DAC 2019: 159 - [c173]Minxuan Zhou, Mohsen Imani, Saransh Gupta, Tajana Rosing:
Thermal-Aware Design and Management for Search-based In-Memory Acceleration. DAC 2019: 174 - [c172]Mohsen Imani, John Messerly, Fan Wu, Wang Pi, Tajana Rosing:
A Binary Learning Framework for Hyperdimensional Computing. DATE 2019: 126-131 - [c171]Behnam Khaleghi, Tajana Simunic Rosing:
Thermal-Aware Design and Flow for FPGA Performance Improvement. DATE 2019: 342-347 - [c170]Mohsen Imani, Ricardo Garcia, Andrew Huang, Tajana Rosing:
CADE: Configurable Approximate Divider for Energy Efficiency. DATE 2019: 586-589 - [c169]Yeseong Kim, Ankit More, Emily Shriver, Tajana Rosing:
Application Performance Prediction and Optimization Under Cache Allocation Technology. DATE 2019: 1285-1288 - [c168]Mohsen Imani, Yeseong Kim, Thomas Worley, Saransh Gupta, Tajana Rosing:
HDCluster: An Accurate Clustering Using Brain-Inspired High-Dimensional Computing. DATE 2019: 1591-1594 - [c167]Mohsen Imani, Sahand Salamat, Behnam Khaleghi, Mohammad Samragh, Farinaz Koushanfar, Tajana Rosing:
SparseHD: Algorithm-Hardware Co-optimization for Efficient High-Dimensional Computing. FCCM 2019: 190-198 - [c166]Sahand Salamat, Mohsen Imani, Behnam Khaleghi, Tajana Rosing:
F5-HD: Fast Flexible FPGA-based Framework for Refreshing Hyperdimensional Computing. FPGA 2019: 53-62 - [c165]Saransh Gupta, Mohsen Imani, Tajana Rosing:
Exploring Processing In-Memory for Different Technologies. ACM Great Lakes Symposium on VLSI 2019: 201-206 - [c164]Joonseop Sim, Saransh Gupta, Mohsen Imani, Yeseong Kim, Tajana Rosing:
UPIM: Unipolar Switching Logic for High Density Processing-in-Memory Applications. ACM Great Lakes Symposium on VLSI 2019: 255-258 - [c163]Mohsen Imani, Saransh Gupta, Yeseong Kim, Minxuan Zhou, Tajana Rosing:
DigitalPIM: Digital-based Processing In-Memory for Big Data Acceleration. ACM Great Lakes Symposium on VLSI 2019: 429-434 - [c162]Mohsen Imani, Samuel Bosch, Mojan Javaheripi, Bita Darvish Rouhani, Xinyu Wu, Farinaz Koushanfar, Tajana Rosing:
SemiHD: Semi-Supervised Learning Using Hyperdimensional Computing. ICCAD 2019: 1-8 - [c161]Sahand Salamat, Behnam Khaleghi, Mohsen Imani, Tajana Rosing:
Workload-Aware Opportunistic Energy Efficiency in Multi-FPGA Platforms. ICCAD 2019: 1-8 - [c160]Behnam Khaleghi, Sahand Salamat, Mohsen Imani, Tajana Rosing:
FPGA Energy Efficiency by Leveraging Thermal Margin. ICCD 2019: 376-384 - [c159]Kazim Ergun, Raid Ayoub, Pietro Mercati, Tajana Rosing:
Dynamic Optimization of Battery Health in IoT Networks. ICCD 2019: 648-655 - [c158]