Krishna, Tushar

The gem5 simulator

Binkert, N., Beckmann, B., Black, G., Reinhardt, S. K., Saidi, A., Basu, A., Hestness, J., Hower, D. R., Krishna, T., Sardashti, S., et al. (2011) · ACM SIGARCH Computer Architecture News

Parallel Computing and Optimization TechniquesInterconnection Networks and Systems

Cited by 4,930

Eyeriss: An Energy-Efficient Reconfigurable Accelerator for Deep Convolutional Neural Networks

Chen, Y.-H., Krishna, T., Emer, J. S., & Sze, V. (2017) · IEEE Journal of Solid-State Circuits

Advanced Neural Network ApplicationsParallel Computing and Optimization Techniques

Cited by 3,247

Heterogeneous Dataflow Accelerators for Multi-DNN Workloads

Kwon, H., Lai, L., Pellauer, M., Krishna, T., Chen, Y.-H., & Chandra, V. (2021) · 2021 IEEE International Symposium on High-Performance Computer Architecture (HPCA)

Parallel Computing and Optimization TechniquesEmbedded Systems Design Techniques

Cited by 144

Characterizing the deployment of deep neural networks on commercial edge devices

Hadidi, R., Cao, J., Xie, Y., Asgari, B., Krishna, T., & Kim, H. (2019) · 2019 IEEE International Symposium on Workload Characterization (IISWC)

IoT and Edge/Fog ComputingAdvanced Neural Network Applications

Cited by 118

MAGMA: An Optimization Framework for Mapping Multiple DNNs on Multiple Accelerator Cores

Kao, S.-C., & Krishna, T. (2022) · 2022 IEEE International Symposium on High-Performance Computer Architecture (HPCA)

Parallel Computing and Optimization TechniquesEmbedded Systems Design Techniques

Cited by 58

Towards Cognitive AI Systems: Workload and Characterization of Neuro-Symbolic AI

Wan, Z., Liu, C.-K., Yang, H., Raj, R., Li, C., You, H., Fu, Y., Wan, C., Samajdar, A., Lin, Y. C., et al. (2024) · 2024 IEEE International Symposium on Performance Analysis of Systems and Software (ISPASS)

Parallel Computing and Optimization TechniquesAdvanced Neural Network Applications

Cited by 39

CLAMP-ViT: Contrastive Data-Free Learning for Adaptive Post-training Quantization of ViTs

Ramachandran, A., Kundu, S., & Krishna, T. (2025) · Lecture Notes in Computer Science

Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 14

GEAR: An Efficient KV Cache Compression Recipe for Near-Lossless Generative Inference of LLM

Kang, H., Zhang, Q., Kundu, S., Jeong, G., Liu, Z., Krishna, T., & Zhao, T. (2024) · arXiv

Advanced Neural Network ApplicationsTopic Modeling

Cited by 2

ThunderAgent: A Simple, Fast and Program-Aware Agentic Inference System

Kang, H., Li, Z., Xu, W., Yang, X., Chen, Y., Wang, J., Chen, B., Krishna, T., Xu, C., & Arora, S. (2026) · arXiv

Parallel Computing and Optimization TechniquesCloud Computing and Resource Management

Cited by 0