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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
- 2020
[j50]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)- [j49]Sahand Salamat, Mohsen Imani, Tajana Rosing:
Accelerating Hyperdimensional Computing on FPGAs by Exploiting Computational Reuse. IEEE Trans. Computers 69(8): 1159-1171 (2020) - [j48]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) - [j47]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) - [j46]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) - [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) - [c195]Yunhui Guo, Yandong Li, Liqiang Wang, Tajana Rosing:
AdaFilter: Adaptive Filter Fine-Tuning for Deep Transfer Learning. AAAI 2020: 4060-4066 - [c194]Behnam Khaleghi, Mohsen Imani, Tajana Rosing:
Prive-HD: Privacy-Preserved Hyperdimensional Computing. DAC 2020: 1-6 - [c193]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 - [c192]Yeseong Kim, Mohsen Imani, Niema Moshiri, Tajana Rosing:
GenieHD: Efficient DNA Pattern Matching Accelerator Using Hyperdimensional Computing. DATE 2020: 115-120 - [c191]Michael H. Ostertag, Sarah Al-Doweesh, Tajana Rosing:
Efficient Training on Edge Devices Using Online Quantization. DATE 2020: 1011-1014 - [c190]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 - [c189]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 - [c188]Fatemeh Asgarinejad, Anthony Thomas, Tajana Rosing:
Detection of Epileptic Seizures from Surface EEG Using Hyperdimensional Computing. EMBC 2020: 536-540 - [c187]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 - [c186]Kazim Ergun, Xiaofan Yu, Nitish Nagesh, Ludmila Cherkasova, Pietro Mercati, Raid Ayoub, Tajana Rosing:
RelIoT: Reliability Simulator for IoT Networks. ICIOT 2020: 63-81 - [c185]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 - [c184]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 - [i15]Sahand Salamat, Tajana Rosing:
FPGA Acceleration of Sequence Alignment: A Survey. CoRR abs/2002.02394 (2020) - [i14]Behnam Khaleghi, Mohsen Imani, Tajana Rosing:
Prive-HD: Privacy-Preserved Hyperdimensional Computing. CoRR abs/2005.06716 (2020) - [i13]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) - [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]Jagannathan Venkatesh, Baris Aksanli, Christine S. Chan, Alper Sinan Akyürek, Tajana Simunic Rosing:
Scalable-Application Design for the IoT. IEEE Softw. 34(1): 62-70 (2017) - [j28]Pietro Mercati, Francesco Paterna, Andrea Bartolini, Luca Benini, Tajana Simunic Rosing:
WARM: Workload-Aware Reliability Management in Linux/Android. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 36(9): 1557-1570 (2017) - [c137]Mohsen Imani, Yeseong Kim, Tajana Rosing:
MPIM: Multi-purpose in-memory processing using configurable resistive memory. ASP-DAC 2017: 757-763 - [c136]Wanlin Cui, Yeseong Kim, Tajana Simunic Rosing:
Cross-platform machine learning characterization for task allocation in IoT ecosystems. CCWC 2017: 1-7 - [c135]Pietro Mercati, Raid Ayoub, Michael Kishinevsky, Eric Samson, Marc Beuchat, Francesco Paterna, Tajana Simunic Rosing:
Multi-variable Dynamic Power Management for the GPU Subsystem. DAC 2017: 2:1-2:6 - [c134]Mohsen Imani, Saransh Gupta, Tajana Rosing:
Ultra-Efficient Processing In-Memory for Data Intensive Applications. DAC 2017: 6:1-6:6 - [c133]Mohsen Imani, Daniel Peroni, Tajana Rosing:
CFPU: Configurable Floating Point Multiplier for Energy-Efficient Computing. DAC 2017: 76:1-76:6 - [c132]Mohsen Imani, Daniel Peroni, Yeseong Kim, Abbas Rahimi, Tajana Rosing:
Efficient neural network acceleration on GPGPU using content addressable memory. DATE 2017: 1026-1031 - [c131]Mohammad Samragh Razlighi, Mohsen Imani, Farinaz Koushanfar, Tajana Rosing:
LookNN: Neural network with no multiplication. DATE 2017: 1775-1780 - [c130]Mohsen Imani, Abbas Rahimi, Deqian Kong, Tajana Rosing, Jan M. Rabaey:
Exploring Hyperdimensional Associative Memory. HPCA 2017: 445-456 - [c129]Yeseong Kim, Mohsen Imani, Tajana Rosing:
ORCHARD: Visual object recognition accelerator based on approximate in-memory processing. ICCAD 2017: 25-32 - [c128]Yeseong Kim, Pietro Mercati, Ankit More, Emily Shriver, Tajana Rosing:
P4: Phase-based power/performance prediction of heterogeneous systems via neural networks. ICCAD 2017: 683-690 - [c127]Mohsen Imani, Yeseong Kim, Tajana Rosing:
NNgine: Ultra-Efficient Nearest Neighbor Accelerator Based on In-Memory Computing. ICRC 2017: 1-8 - [c126]Mohsen Imani, Deqian Kong, Abbas Rahimi, Tajana Rosing:
VoiceHD: Hyperdimensional Computing for Efficient Speech Recognition. ICRC 2017: 1-8 - [c125]Mohsen Imani, Saransh Gupta, Atl Arredondo, Tajana Rosing:
Efficient query processing in crossbar memory. ISLPED 2017: 1-6 - [c124]Mohsen Imani, Tajana Rosing:
CAP: Configurable resistive associative processor for near-data computing. ISQED 2017: 346-352 - [c123]Baris Aksanli, Jagannathan Venkatesh, Christine S. Chan, Alper Sinan Akyurek, Tajana Simunic Rosing:
Context-aware and user-centric residential energy management. PerCom Workshops 2017: 455-460 - [c122]Nima Mousavi, Baris Aksanli, Alper Sinan Akyurek, Tajana Simunic Rosing:
Accuracy-resource tradeoff for edge devices in Internet of Things. PerCom Workshops 2017: 581-586 - [c121]Joonseop Sim, Mohsen Imani, Yeseong Kim, Tajana Rosing:
Enabling efficient system design using vertical nanowire transistor current mode logic. VLSI-SoC 2017: 1-6 - 2016
- [c120]Mohsen Imani, Shruti Patil, Tajana Simunic Rosing:
MASC: Ultra-low energy multiple-access single-charge TCAM for approximate computing. DATE 2016: 373-378 - [c119]Mohsen Imani, Abbas Rahimi, Tajana Simunic Rosing:
Resistive configurable associative memory for approximate computing. DATE 2016: 1327-1332 - [c118]Alper Sinan Akyurek, Tajana Simunic Rosing:
Optimal in-network packet aggregation policy for maximum information freshness. EuCNC 2016: 89-93 - [c117]Mohsen Imani, Shruti Patil, Tajana Simunic Rosing:
DCC: Double Capacity Cache Architecture for Narrow-Width Values. ACM Great Lakes Symposium on VLSI 2016: 113-116 - [c116]Pietro Mercati, Francesco Paterna, Andrea Bartolini, Mohsen Imani, Luca Benini, Tajana Simunic Rosing:
VarDroid: Online Variability Emulation in Android/Linux Platforms. ACM Great Lakes Symposium on VLSI 2016: 269-274 - [c115]Jagannathan Venkatesh, Christine S. Chan, Alper Sinan Akyurek, Tajana Simunic Rosing:
A Modular Approach to Context-Aware IoT Applications. IoTDI 2016: 235-240 - [c114]Mohsen Imani, Yeseong Kim, Abbas Rahimi, Tajana Rosing:
ACAM: Approximate Computing Based on Adaptive Associative Memory with Online Learning. ISLPED 2016: 162-167 - [c113]Mohsen Imani, Shruti Patil, Tajana Simunic Rosing:
Low power data-aware STT-RAM based hybrid cache architecture. ISQED 2016: 88-94 - [c112]Mohsen Imani, Pietro Mercati, Tajana Rosing:
ReMAM: Low energy Resistive Multi-stage Associative Memory for energy efficient computing. ISQED 2016: 101-106 - [c111]Mohsen Imani, Yan Cheng, Tajana Rosing:
Processing Acceleration with Resistive Memory-based Computation. MEMSYS 2016: 208-210 - [c110]