| Federated Learning with Non-IID Data Y Zhao, M Li, L Lai, N Suda, D Civin, V Chandra arXiv preprint arXiv:1806.00582, 2018 | 3349 | 2018 |
| Throughput-optimized OpenCL-based FPGA Accelerator for Large-scale Convolutional Neural Networks N Suda, V Chandra, G Dasika, A Mohanty, Y Ma, S Vrudhula, J Seo, ... Proceedings of the 2016 ACM/SIGDA International Symposium on Field …, 2016 | 731 | 2016 |
| Bit fusion: Bit-level Dynamically Composable Architecture for Accelerating Deep Neural Network H Sharma, J Park, N Suda, L Lai, B Chau, V Chandra, H Esmaeilzadeh 2018 ACM/IEEE 45th Annual International Symposium on Computer Architecture …, 2018 | 666 | 2018 |
| Hello Edge: Keyword Spotting on Microcontrollers Y Zhang, N Suda, L Lai, V Chandra arXiv preprint arXiv:1711.07128, 2017 | 565 | 2017 |
| MiniGPT-v2: Large Language Model As a Unified Interface for Vision-Language Multi-task Learning J Chen, D Zhu, X Shen, X Li, Z Liu, P Zhang, R Krishnamoorthi, ... arXiv preprint arXiv:2310.09478, 2023 | 548 | 2023 |
| CMSIS-NN: Efficient Neural Network Kernels for Arm Cortex-M CPUs L Lai, N Suda, V Chandra arXiv preprint arXiv:1801.06601, 2018 | 504 | 2018 |
| Exploring Sub-20nm FinFET Design with Predictive Technology Models S Sinha, G Yeric, V Chandra, B Cline, Y Cao DAC Design Automation Conference 2012, 283-288, 2012 | 387 | 2012 |
| Multi-Scale High-Resolution Vision Transformer for Semantic Segmentation J Gu, H Kwon, D Wang, W Ye, M Li, YH Chen, L Lai, V Chandra, DZ Pan arXiv preprint arXiv:2111.01236, 2021 | 278 | 2021 |
| RecNMP: Accelerating Personalized Recommendation with Near-Memory Processing L Ke, U Gupta, BY Cho, D Brooks, V Chandra, U Diril, A Firoozshahian, ... 2020 ACM/IEEE 47th Annual International Symposium on Computer Architecture …, 2020 | 259 | 2020 |
| LLM-QAT: Data-free Quantization aware Training for Large Language Models Z Liu, B Oguz, C Zhao, E Chang, P Stock, Y Mehdad, Y Shi, ... arXiv preprint arXiv:2305.17888, 2023 | 249 | 2023 |
| Configurable IC with Interconnect Circuits that also Perform Storage Operations S Teig, H Schmit, J Redgrave, V Chandra US Patent 7,342,415, 2008 | 240 | 2008 |
| Impact of Technology and Voltage Scaling on the Soft Error Susceptibility in Nanoscale CMOS V Chandra, R Aitken 2008 IEEE International Symposium on Defect and Fault Tolerance of VLSI …, 2008 | 204 | 2008 |
| FPGA Switch Block Layout and Evaluation H Schmit, V Chandra Proceedings of the 2002 ACM/SIGDA tenth international symposium on Field …, 2002 | 187 | 2002 |
| Heterogeneous Dataflow Accelerators for Multi-DNN Workloads H Kwon, L Lai, M Pellauer, T Krishna, YH Chen, V Chandra 2021 IEEE International Symposium on High-Performance Computer Architecture …, 2021 | 179* | 2021 |
| KeepAugment: A Simple Information-Preserving Data Augmentation Approach C Gong, D Wang, M Li, V Chandra, Q Liu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 169 | 2021 |
| Co-Exploration of Neural Architectures and Heterogeneous ASIC Accelerator Designs Targeting Multiple Tasks L Yang, Z Yan, M Li, H Kwon, L Lai, T Krishna, V Chandra, W Jiang, Y Shi 2020 57th ACM/IEEE Design Automation Conference (DAC), 1-6, 2020 | 151 | 2020 |
| Deep Convolutional Neural Network Inference with Floating-point Weights and Fixed-point Activations L Lai, N Suda, V Chandra arXiv preprint arXiv:1703.03073, 2017 | 139 | 2017 |
| EfficientSAM: Leveraged Masked Image Pretraining for Efficient Segment Anything Y Xiong, B Varadarajan, L Wu, X Xiang, F Xiao, C Zhu, X Dai, D Wang, ... arXiv preprint arXiv:2312.00863, 2023 | 136 | 2023 |
| AttentiveNAS: Improving Neural Architecture Search via Attentive Sampling D Wang, M Li, C Gong, V Chandra Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 130 | 2021 |
| TIMBER: Time Borrowing and Error Relaying for Online Timing Error Resilience M Choudhury, V Chandra, K Mohanram, R Aitken 2010 Design, Automation & Test in Europe Conference & Exhibition (DATE 2010 …, 2010 | 121 | 2010 |
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