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ORCIDTajana Rosing
Tajana Simunic Rosing – Tajana Simunic – Tajana Šimunić Rosing
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- unicode name: Tajana Šimunić Rosing
- affiliation: University of California, San Diego, CA, USA
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2020 – today
- 2021
[c221]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- [c220]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 - [c219]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 - [c218]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 - [c217]Minxuan Zhou, Muzhou Li, Mohsen Imani, Tajana Rosing:
HyGraph: Accelerating Graph Processing with Hybrid Memory-centric Computing. DATE 2021: 330-335 - [c216]Behnam Khaleghi, Hanyang Xu, Justin Morris, Tajana Simunic Rosing:
tiny-HD: Ultra-Efficient Hyperdimensional Computing Engine for IoT Applications. DATE 2021: 408-413 - [c215]Ricardo Garcia, Fatemeh Asgarinejad, Behnam Khaleghi, Tajana Rosing, Mohsen Imani:
TruLook: A Framework for Configurable GPU Approximation. DATE 2021: 487-490 - [c214]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 - [c213]Sahand Salamat, Jaeyoung Kang, Yeseong Kim, Mohsen Imani, Niema Moshiri, Tajana Rosing:
FPGA Acceleration of Protein Back-Translation and Alignment. DATE 2021: 822-827 - [c212]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 - [c211]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 - [c210]Onat Güngör, Tajana Rosing, Baris Aksanli:
OPELRUL: OPtimally Weighted Ensemble Learner for Remaining Useful Life Prediction. ICPHM 2021: 1-8 - [c209]Jason Ma, Michael H. Ostertag, Dinesh Bharadia, Tajana Rosing:
Frequency-aware Trajectory and Power Control for Multi-UAV Systems. INFOCOM Workshops 2021: 1-6 - [c208]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 - [c207]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 - [c206]Kazim Ergun, Raid Ayoub, Pietro Mercati, Tajana Rosing:
Improving Mean Time to Failure of IoT Networks with Reliability-Aware Routing. MECO 2021: 1-4 - 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) - [c205]Yunhui Guo, Yandong Li, Liqiang Wang, Tajana Rosing:
AdaFilter: Adaptive Filter Fine-Tuning for Deep Transfer Learning. AAAI 2020: 4060-4066 - [c204]Xiaofan Yu, Xueyang Song, Ludmila Cherkasova, Tajana Simunic Rosing:
Reliability-Driven Deployment in Energy-Harvesting Sensor Networks. CNSM 2020: 1-9 - [c203]Behnam Khaleghi, Mohsen Imani, Tajana Rosing:
Prive-HD: Privacy-Preserved Hyperdimensional Computing. DAC 2020: 1-6 - [c202]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 - [c201]Yeseong Kim, Mohsen Imani, Niema Moshiri, Tajana Rosing:
GenieHD: Efficient DNA Pattern Matching Accelerator Using Hyperdimensional Computing. DATE 2020: 115-120 - [c200]Michael H. Ostertag, Sarah Al-Doweesh, Tajana Rosing:
Efficient Training on Edge Devices Using Online Quantization. DATE 2020: 1011-1014 - [c199]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 - [c198]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 - [c197]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 - [c196]Fatemeh Asgarinejad, Anthony Thomas, Tajana Rosing:
Detection of Epileptic Seizures from Surface EEG Using Hyperdimensional Computing. EMBC 2020: 536-540 - [c195]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 - [c194]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 - [c193]Behnam Khaleghi, Sahand Salamat, Tajana Simunic Rosing:
Revisiting FPGA Routing under Varying Operating Conditions. FPT 2020: 94-102 - [c192]Kazim Ergun, Xiaofan Yu, Nitish Nagesh, Ludmila Cherkasova, Pietro Mercati, Raid Ayoub, Tajana Rosing:
RelIoT: Reliability Simulator for IoT Networks. ICIOT 2020: 63-81 - [c191]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 - [c190]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 - [c189]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 - [c188]Yunhui Guo, Xiaofan Yu, Kamalika Chaudhuri, Tajana Rosing:
Efficient Distributed Training in Heterogeneous Mobile Networks with Active Sampling. MSN 2020: 174-181 - [c187]Yunhui Guo, Mingrui Liu, Tianbao Yang, Tajana Rosing:
Improved Schemes for Episodic Memory-based Lifelong Learning. NeurIPS 2020 - [c186]Onat Güngör, Jake Garnier, Tajana Simunic Rosing, Baris Aksanli:
LENARD: Lightweight ENsemble LeARner for MeDium-term Electricity Consumption Prediction. SmartGridComm 2020: 1-6 - [c185]Mohsen Imani, Saransh Gupta, Yeseong Kim, Tajana Rosing:
Deep Learning Acceleration using Digital-Based Processing In-Memory. SoCC 2020: 123-128 - [c184]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) - [c183]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 - [c182]Yunhui Guo, Yandong Li, Liqiang Wang, Tajana Rosing:
Depthwise Convolution Is All You Need for Learning Multiple Visual Domains. AAAI 2019: 8368-8375 - [c181]Michael H. Ostertag, Nikolay Atanasov, Tajana Rosing:
Robust Velocity Control for Minimum Steady State Uncertainty in Persistent Monitoring Applications. ACC 2019: 2501-2508 - [c180]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 - [c179]Minxuan Zhou, Mohsen Imani, Saransh Gupta, Yeseong Kim, Tajana Rosing:
GRAM: graph processing in a ReRAM-based computational memory. ASP-DAC 2019: 591-596 - [c178]Daniel Peroni, Mohsen Imani, Tajana Rosing:
ALook: adaptive lookup for GPGPU acceleration. ASP-DAC 2019: 739-746 - [c177]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 - [c176]Yunhui Guo, Honghui Shi, Abhishek Kumar, Kristen Grauman, Tajana Rosing, Rogério Schmidt Feris:
SpotTune: Transfer Learning Through Adaptive Fine-Tuning. CVPR 2019: 4805-4814 - [c175]Daniel Peroni, Mohsen Imani, Hamid Nejatollahi, Nikil D. Dutt, Tajana Rosing:
ARGA: Approximate Reuse for GPGPU Acceleration. DAC 2019: 8 - [c174]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 - [c173]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 - [c172]Minxuan Zhou, Mohsen Imani, Saransh Gupta, Tajana Rosing:
Thermal-Aware Design and Management for Search-based In-Memory Acceleration. DAC 2019: 174 - [c171]Mohsen Imani, John Messerly, Fan Wu, Wang Pi, Tajana Rosing:
A Binary Learning Framework for Hyperdimensional Computing. DATE 2019: 126-131 - [c170]Behnam Khaleghi, Tajana Simunic Rosing:
Thermal-Aware Design and Flow for FPGA Performance Improvement. DATE 2019: 342-347 - [c169]Mohsen Imani, Ricardo Garcia, Andrew Huang, Tajana Rosing:
CADE: Configurable Approximate Divider for Energy Efficiency. DATE 2019: 586-589 - [c168]Yeseong Kim, Ankit More, Emily Shriver, Tajana Rosing:
Application Performance Prediction and Optimization Under Cache Allocation Technology. DATE 2019: 1285-1288 - [c167]Mohsen Imani, Yeseong Kim, Thomas Worley, Saransh Gupta, Tajana Rosing:
HDCluster: An Accurate Clustering Using Brain-Inspired High-Dimensional Computing. DATE 2019: 1591-1594 - [c166]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 - [c165]Sahand Salamat, Mohsen Imani, Behnam Khaleghi, Tajana Rosing:
F5-HD: Fast Flexible FPGA-based Framework for Refreshing Hyperdimensional Computing. FPGA 2019: 53-62 - [c164]Saransh Gupta, Mohsen Imani, Tajana Rosing:
Exploring Processing In-Memory for Different Technologies. ACM Great Lakes Symposium on VLSI 2019: 201-206 - [c163]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 - [c162]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 - [c161]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 - [c160]Sahand Salamat, Behnam Khaleghi, Mohsen Imani, Tajana Rosing:
Workload-Aware Opportunistic Energy Efficiency in Multi-FPGA Platforms. ICCAD 2019: 1-8 - [c159]Behnam Khaleghi, Sahand Salamat, Mohsen Imani, Tajana Rosing:
FPGA Energy Efficiency by Leveraging Thermal Margin. ICCD 2019: 376-384 - [c158]Kazim Ergun, Raid Ayoub, Pietro Mercati, Tajana Rosing:
Dynamic Optimization of Battery Health in IoT Networks. ICCD 2019: 648-655 - [c157]Anthony Thomas, Yunhui Guo, Yeseong Kim, Baris Aksanli, Arun Kumar, Tajana Simunic Rosing:
Hierarchical and Distributed Machine Learning Inference Beyond the Edge. ICNSC 2019: 18-23 - [c156]Mohsen Imani, Saransh Gupta, Yeseong Kim, Tajana Rosing:
FloatPIM: in-memory acceleration of deep neural network training with high precision. ISCA 2019: 802-815 - [c155]Saransh Gupta, Mohsen Imani, Behnam Khaleghi, Venkatesh Kumar, Tajana Rosing:
RAPID: A ReRAM Processing in-Memory Architecture for DNA Sequence Alignment. ISLPED 2019: 1-6 - [c154]Xiao Liu, Mingxuan Zhou, Tajana Simunic Rosing, Jishen Zhao:
HR3AM: A Heat Resilient Design for RRAM-based Neuromorphic Computing. ISLPED 2019: 1-6 - [c153]Justin Morris, Mohsen Imani, Samuel Bosch, Anthony Thomas, Helen Shu, Tajana Rosing:
CompHD: Efficient Hyperdimensional Computing Using Model Compression. ISLPED 2019: 1-6 - [c152]Joonseop Sim, Minsu Kim, Yeseong Kim, Saransh Gupta, Behnam Khaleghi, Tajana Rosing:
MAPIM: Mat Parallelism for High Performance Processing in Non-volatile Memory Architecture. ISQED 2019: 145-150 - [c151]Mohsen Imani, Saransh Gupta, Tajana Rosing:
Digital-based processing in-memory: a highly-parallel accelerator for data intensive applications. MEMSYS 2019: 38-40 - [c150]Rishikanth Chandrasekaran, Yunhui Guo, Anthony Thomas, Massimiliano Menarini, Michael H. Ostertag, Yeseong Kim, Tajana Rosing:
Efficient Sparse Processing in Smart Home Applications. SenSys-ML 2019: 19-24 - [p2]Mohsen Imani, Tajana Simunic Rosing:
Approximate CPU and GPU Design Using Emerging Memory Technologies. Approximate Circuits 2019: 383-398 - [i10]Yunhui Guo, Yandong Li, Rogério Schmidt Feris, Liqiang Wang, Tajana Rosing:
Depthwise Convolution is All You Need for Learning Multiple Visual Domains. CoRR abs/1902.00927 (2019) - [i9]Sahand Salamat, Behnam Khaleghi, Mohsen Imani, Tajana Rosing:
Workload-Aware Opportunistic Energy Efficiency in Multi-FPGA Platforms. CoRR abs/1908.06519 (2019) - [i8]Yunhui Guo, Mingrui Liu, Tianbao Yang, Tajana Rosing:
Learning with Long-term Remembering: Following the Lead of Mixed Stochastic Gradient. CoRR abs/1909.11763 (2019) - [i7]Behnam Khaleghi, Sahand Salamat, Mohsen Imani, Tajana Rosing:
FPGA Energy Efficiency by Leveraging Thermal Margin. CoRR abs/1911.07187 (2019) - [i6]Yunhui Guo, Yandong Li, Liqiang Wang, Tajana Rosing:
AdaFilter: Adaptive Filter Fine-tuning for Deep Transfer Learning. CoRR abs/1911.09659 (2019) - [i5]Samuel Bosch, Alexander Sanchez de la Cerda, Mohsen Imani, Tajana Simunic Rosing, Giovanni De Micheli:
QubitHD: A Stochastic Acceleration Method for HD Computing-Based Machine Learning. CoRR abs/1911.12446 (2019) - [i4]Yunhui Guo, Noel C. F. Codella, Leonid Karlinsky, John R. Smith, Tajana Rosing, Rogério Schmidt Feris:
A New Benchmark for Evaluation of Cross-Domain Few-Shot Learning. CoRR abs/1912.07200 (2019) - 2018
- [j37]Mohsen Imani, Daniel Peroni, Tajana Rosing:
Nvalt: Nonvolatile Approximate Lookup Table for GPU Acceleration. IEEE Embed. Syst. Lett. 10(1): 14-17 (2018) - [j36]Jagannathan Venkatesh, Baris Aksanli, Christine S. Chan, Alper Sinan Akyurek, Tajana Simunic Rosing:
Modular and Personalized Smart Health Application Design in a Smart City Environment. IEEE Internet Things J. 5(2): 614-623 (2018) - [j35]Mohsen Imani, Shruti Patil, Tajana Simunic Rosing:
Approximate Computing Using Multiple-Access Single-Charge Associative Memory. IEEE Trans. Emerg. Top. Comput. 6(3): 305-316 (2018) - [j34]Jinseok Yang, Alper Sinan Akyurek, Sameer Tilak, Tajana Simunic Rosing:
Design of Transmission Manager in Heterogeneous WSNs. IEEE Trans. Emerg. Top. Comput. 6(3): 395-408 (2018) - [j33]Alper Sinan Akyurek, Tajana Simunic Rosing:
Optimal Packet Aggregation Scheduling in Wireless Networks. IEEE Trans. Mob. Comput. 17(12): 2835-2852 (2018) - [j32]Mohsen Imani, Abbas Rahimi, Pietro Mercati, Tajana Simunic Rosing:
Multi-Stage Tunable Approximate Search in Resistive Associative Memory. IEEE Trans. Multi Scale Comput. Syst. 4(1): 17-29 (2018) - [j31]Said Hamdioui, Pierre-Emmanuel Gaillardon, Dietmar Fey, Tajana Simunic Rosing:
Guest Editorial Memristive-Device-Based Computing. IEEE Trans. Very Large Scale Integr. Syst. 26(12): 2581-2583 (2018) - [c149]Mohsen Imani, Max Masich, Daniel Peroni, Pushen Wang, Tajana Rosing:
CANNA: Neural network acceleration using configurable approximation on GPGPU. ASP-DAC 2018: 682-689 - [c148]Mohsen Imani, Tarek Nassar, Abbas Rahimi, Tajana Rosing:
HDNA: Energy-efficient DNA sequencing using hyperdimensional computing. BHI 2018: 271-274 - [c147]Mohsen Imani, Chenyu Huang, Deqian Kong, Tajana Rosing:
Hierarchical hyperdimensional computing for energy efficient classification. DAC 2018: 108:1-108:6 - [c146]Mohsen Imani, Saransh Gupta, Tajana Rosing:
GenPIM: Generalized processing in-memory to accelerate data intensive applications. DATE 2018: 1155-1158 - [c145]Saransh Gupta, Mohsen Imani, Tajana Rosing:
FELIX: fast and energy-efficient logic in memory. ICCAD 2018: 55 - [c144]Sahand Salamat, Mohsen Imani, Saransh Gupta, Tajana Rosing:
RNSnet: In-Memory Neural Network Acceleration Using Residue Number System. ICRC 2018: 1-12 - [c143]Yeseong Kim, Mohsen Imani, Tajana Simunic Rosing:
Efficient human activity recognition using hyperdimensional computing. IOT 2018: 38:1-38:6 - [c142]Mohsen Imani, Ricardo Garcia, Saransh Gupta, Tajana Rosing:
RMAC: Runtime Configurable Floating Point Multiplier for Approximate Computing. ISLPED 2018: 12:1-12:6 - [c141]Minxuan Zhou, Mohsen Imani, Saransh Gupta, Tajana Rosing:
GAS: A Heterogeneous Memory Architecture for Graph Processing. ISLPED 2018: 27:1-27:6 - [c140]Mohsen Imani, Daniel Peroni, Tajana Rosing:
Program acceleration using nearest distance associative search. ISQED 2018: 43-48 - [c139]Joonseop Sim, Mohsen Imani, Woojin Choi, Yeseong Kim, Tajana Rosing:
LUPIS: Latch-up based ultra efficient processing in-memory system. ISQED 2018: 55-60 - [c138]Mohsen Imani, Pushen Wang, Tajana Rosing:
Deep neural network acceleration framework under hardware uncertainty. ISQED 2018: 389-394 - [i3]Mohsen Imani, Mohammad Samragh, Yeseong Kim, Saransh Gupta, Farinaz Koushanfar, Tajana Rosing:
RAPIDNN: In-Memory Deep Neural Network Acceleration Framework. CoRR abs/1806.05794 (2018) - [i2]Yunhui Guo, Honghui Shi, Abhishek Kumar, Kristen Grauman, Tajana Rosing, Rogério Schmidt Feris:
SpotTune: Transfer Learning through Adaptive Fine-tuning. CoRR abs/1811.08737 (2018) - 2017
- [j30]Mohsen Imani, John Hwang, Tajana Rosing, Abbas Rahimi, Jan M. Rabaey:
Low-Power Sparse Hyperdimensional Encoder for Language Recognition. IEEE Des. Test 34(6): 94-101 (2017) - [j29]