Tushar Krishna
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
106
Venues
24
Active years
2008–2026
Best venue rank
A*
Where they publish
- BISPASS20 papers
- A*HPCA14 papers
- ADATE10 papers
- A*ISCA10 papers
- A*MICRO10 papers
- A*DAC8 papers
- A*ASPLOS7 papers
- AICCAD5 papers
- NationalHOTI4 papers
- BASPDAC3 papers
- ASC2 papers
- AICS1 paper
- A*SIGCOMM1 paper
- A*ICCV1 paper
- A*ICLR1 paper
- CISCAS1 paper
- AISLPED1 paper
- A*ECCV1 paper
- A*AAAI1 paper
- AMiddleware1 paper
- A*SIGMETRICS1 paper
- BFPL1 paper
- AFPGA1 paper
- CICCD1 paper
Papers
106 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | ASPDAC | Boosting Scalability and Performance: Macro Placement for Flexible 3D-Stacked ML Accelerators. | Jiawei Hu, Canlin Zhang, Pruek Vanna-Iampikul, Tushar Krishna, Sung Kyu Lim |
| 2026 | ASPLOS | Compositional AI Beyond LLMs: System Implications of Neuro-Symbolic-Probabilistic Architectures. | Zishen Wan, Hanchen Yang, Jiayi Qian, Ritik Raj, Joongun Park, Chenyu Wang, Arijit Raychowdhury, Tushar Krishna |
| 2026 | DATE | FortiSky: Enhancing Adversarial and Bit-Error Robustness for Efficient and Secure Autonomous Systems. | Zishen Wan, Karthik Swaminathan, Nandhini Chandramoorthy, Pin-Yu Chen, Tushar Krishna, Vijay Janapa Reddi, Arijit Raychowdhury |
| 2026 | HPCA | SCALE: Tackling Communication Bottlenecks in Confidential Distributed Machine Learning. | Joongun Park, Yongqin Wang, Huan Xu, Hanjiang Wu, Mengyuan Li, Tushar Krishna |
| 2026 | HPCA | Leveraging ASIC AI Chips for Homomorphic Encryption. | Jianming Tong, Tianhao Huang, Jingtian Dang, Leo de Castro, Anirudh Itagi, Anupam Golder, Asra Ali, Jeremy Kun, Jevin Jiang, Arvind, G. Edward Suh, Tushar Krishna |
| 2026 | HPCA | REASON: Accelerating Probabilistic Logical Reasoning for Scalable Neuro-Symbolic Intelligence. | Zishen Wan, Che-Kai Liu, Jiayi Qian, Hanchen Yang, Arijit Raychowdhury, Tushar Krishna |
| 2026 | ISCA | Scalable Synthesis of Distributed Llm Workloads Through Symbolic Tensor Graphs. | Changhai Man, Joongun Park, Hanjiang Wu, Huan Xu, Srinivas Sridharan, Tushar Krishna |
| 2026 | ICS | Closing the Efficiency Gap: AI Datacenter Co-design Roadmap for Scalable Training of LLMs. | Jesmin Jahan Tithi, Hanjiang Wu, Joongun Park, Avishaii Abuhatzera, Fabrizio Petrini, Tushar Krishna |
| 2026 | ISPASS | Evaluating Cross-Architecture Performance Modeling of Distributed ML Workloads Using StableHLO. | Jonas Svedas, Nathan Laubeuf, Ryan Harvey, Arjun Singh, Changhai Man, Abubakr Nada, Tushar Krishna, James Myers, Debjyoti Bhattacharjee |
| 2026 | ISPASS | MINISA: Minimal Instruction Set Architecture for Next-gen Reconfigurable Inference Accelerator. | Jianming Tong, Devansh Jain, Yujie Li, Charith Mendis, Tushar Krishna |
| 2026 | ISPASS | Towards System-2 AI: Workloads and Characterizations of Energy-Based Models. | Hanchen Yang, Jiayi Qian, Zishen Wan, Jingtian Dang, Ziwei Li, Yilun Du, Tushar Krishna |
| 2026 | SIGCOMM | DynamoServe: A Distributed Tiered Memory System for Multi-tenant LLM Serving. | Diman Zad Tootaghaj, Khaled Diab, Bob Lantz, Hanjiang Wu, K. K. Ramakrishnan, Md Ashfaqur Rahaman, Ryan Stutsman, Puneet Sharma, Tushar Krishna |
| 2025 | ASPLOS | ReCA: Integrated Acceleration for Real-Time and Efficient Cooperative Embodied Autonomous Agents. | Zishen Wan, Yuhang Du, Mohamed Ibrahim, Jiayi Qian, Jason Jabbour, Yang Katie Zhao, Tushar Krishna, Arijit Raychowdhury, Vijay Janapa Reddi |
| 2025 | DAC | NSFlow: An End-to-End FPGA Framework with Scalable Dataflow Architecture for Neuro-Symbolic AI. | Hanchen Yang, Zishen Wan, Ritik Raj, Joongun Park, Ziwei Li, Ananda Samajdar, Arijit Raychowdhury, Tushar Krishna |
| 2025 | DATE | Axon: A Novel Systolic Array Architecture for Improved Run Time and Energy Efficient GeMM and Conv Operation with On-Chip im2col. | Md Mizanur Rahaman Nayan, Ritik Raj, Shaik Gouse Basha, Tushar Krishna, Azad J. Naeemi |
| 2025 | DATE | AIRCHITECT v2: Learning the Hardware Accelerator Design Space Through Unified Representations. | Jamin Seo, Akshat Ramachandran, Yu-Chuan Chuang, Anirudh Itagi, Tushar Krishna |
| 2025 | HPCA | CogSys: Efficient and Scalable Neurosymbolic Cognition System via Algorithm-Hardware Co-Design. | Zishen Wan, Hanchen Yang, Ritik Raj, Che-Kai Liu, Ananda Samajdar, Arijit Raychowdhury, Tushar Krishna |
| 2025 | ICCV | Ouromamba: a Data-Free Quantization Framework for Vision Mamba. | Akshat Ramachandran, Mingyu Lee, Huan Xu, Souvik Kundu, Tushar Krishna |
| 2025 | ICLR | LayerDAG: A Layerwise Autoregressive Diffusion Model for Directed Acyclic Graph Generation. | Mufei Li, Viraj Shitole, Eli Chien, Changhai Man, Zhaodong Wang, Srinivas, Ying Zhang, Tushar Krishna, Pan Li |
| 2025 | ISCA | MicroScopiQ: Accelerating Foundational Models through Outlier-Aware Microscaling Quantization. | Akshat Ramachandran, Souvik Kundu, Tushar Krishna |
| 2025 | ISCA | FRED: A Wafer-scale Fabric for 3D Parallel DNN Training. | Saeed Rashidi, William Won, Sudarshan Srinivasan, Puneet Gupta, Tushar Krishna |
| 2025 | ISCAS | Optimizing Sparse/Dense VEGETA Accelerator Performance with Microscaling Quantization. | Kazi Barria Nine, Connor Talley, Ajay Sharma Mandadi, Tushar Krishna, Arijit Raychowdhury |
| 2025 | ISLPED | Accelerating LLM Inference with Flexible N:M Sparsity via A Fully Digital Compute-in-Memory Accelerator. | Akshat Ramachandran, Souvik Kundu, Arnab Raha, Shamik Kundu, Deepak K. Mathaikutty, Tushar Krishna |
| 2025 | ISPASS | SCALE-Sim V3: a Modular Cycle-Accurate Systolic Accelerator Simulator for End-To-End System Analysis. | Ritik Raj, Sarbartha Banerjee, Nikhil Chandra, Zishen Wan, Jianming Tong, Ananda Samajdar, Tushar Krishna |
| 2025 | ISPASS | Exploring Constrained Dataflow Accelerators for Real-Time Multi-Task Multi-Model Ml Workloads. | Jamin Seo, Jianming Tong, Tushar Krishna, Hyoukjun Kwon |
| 2025 | ISPASS | Generative AI in Embodied Systems: System-Level Analysis of Performance, Efficiency and Scalability. | Zishen Wan, Jiayi Qian, Yuhang Du, Jason Jabbour, Yilun Du, Yang Zhao, Arijit Raychowdhury, Tushar Krishna, Vijay Janapa Reddi |
| 2025 | MICRO | Characterizing the Efficiency of Distributed Training: A Power, Performance, and Thermal Perspective. | Seokjin Go, Joongun Park, Spandan More, Hanjiang Wu, Irene Wang, Aaron Jezghani, Tushar Krishna, Divya Mahajan |
| 2024 | DAC | Algorithm-Hardware Co-Design of Distribution-Aware Logarithmic-Posit Encodings for Efficient DNN Inference. | Akshat Ramachandran, Zishen Wan, Geonhwa Jeong, John L. Gustafson, Tushar Krishna |
| 2024 | DATE | H3DFact: Heterogeneous 3D Integrated CIM for Factorization with Holographic Perceptual Representations. | Zishen Wan, Che-Kai Liu, Mohamed Ibrahim, Hanchen Yang, Samuel Spetalnick, Tushar Krishna, Arijit Raychowdhury |
| 2024 | ECCV | CLAMP-ViT: Contrastive Data-Free Learning for Adaptive Post-training Quantization of ViTs. | Akshat Ramachandran, Souvik Kundu, Tushar Krishna |
| 2024 | HOTI | Towards a Standardized Representation for Deep Learning Collective Algorithms. | Jinsun Yoo, William Won, Meghan Cowan, Nan Jiang, Benjamin Klenk, Srinivas Sridharan, Tushar Krishna |
| 2024 | ICCAD | Thinking and Moving: An Efficient Computing Approach for Integrated Task and Motion Planning in Cooperative Embodied AI Systems. | Zishen Wan, Yuhang Du, Mohamed Ibrahim, Yang Katie Zhao, Tushar Krishna, Arijit Raychowdhury |
| 2024 | ISCA | FEATHER: A Reconfigurable Accelerator with Data Reordering Support for Low-Cost On-Chip Dataflow Switching. | Jianming Tong, Anirudh Itagi, Prasanth Chatarasi, Tushar Krishna |
| 2024 | ISPASS | Leveraging Memory Expansion to Accelerate Large-Scale DL Training. | Divya Kiran Kadiyala, Saeed Rashidi, Taekyung Heo, Abhimanyu Bambhaniya, Tushar Krishna, Alexandros Daglis |
| 2024 | ISPASS | Towards Cognitive AI Systems: Workload and Characterization of Neuro-Symbolic AI. | Zishen Wan, Che-Kai Liu, Hanchen Yang, Ritik Raj, Chaojian Li, Haoran You, Yonggan Fu, Cheng Wan, Ananda Samajdar, Yingyan Celine Lin, Tushar Krishna, Arijit Raychowdhury |
| 2024 | ISPASS | LIBRA: Enabling Workload-Aware Multi-Dimensional Network Topology Optimization for Distributed Training of Large AI Models. | William Won, Saeed Rashidi, Sudarshan Srinivasan, Tushar Krishna |
| 2024 | MICRO | TACOS: Topology-Aware Collective Algorithm Synthesizer for Distributed Machine Learning. | William Won, Midhilesh Elavazhagan, Sudarshan Srinivasan, Swati Gupta, Tushar Krishna |
| 2024 | SC | Enhancing Scalability and Performance in Influence Maximization with Optimized Parallel Processing. | Hanjiang Wu, Huan Xu, Joongun Park, Jesmin Jahan Tithi, Fabio Checconi, Jordi Wolfson-Pou, Fabrizio Petrini, Tushar Krishna |
| 2023 | AAAI | Efficient Distributed Inference of Deep Neural Networks via Restructuring and Pruning. | Afshin Abdi, Saeed Rashidi, Faramarz Fekri, Tushar Krishna |
| 2023 | ASPLOS | FLAT: An Optimized Dataflow for Mitigating Attention Bottlenecks. | Sheng-Chun Kao, Suvinay Subramanian, Gaurav Agrawal, Amir Yazdanbakhsh, Tushar Krishna |
| 2023 | ASPLOS | Flexagon: A Multi-dataflow Sparse-Sparse Matrix Multiplication Accelerator for Efficient DNN Processing. | Francisco Muoz-Martnez, Raveesh Garg, Michael Pellauer, Jos L. Abelln, Manuel E. Acacio, Tushar Krishna |
| 2023 | DATE | Proteus : HLS-based NoC Generator and Simulator. | Abhimanyu Rajeshkumar Bambhaniya, Yangyu Chen, Anshuman, Rohan Banerjee, Tushar Krishna |
| 2023 | DATE | AIrchitect: Automating Hardware Architecture and Mapping Optimization. | Ananda Samajdar, Jan Moritz Joseph, Tushar Krishna |
| 2023 | HPCA | VEGETA: Vertically-Integrated Extensions for Sparse/Dense GEMM Tile Acceleration on CPUs. | Geonhwa Jeong, Sana Damani, Abhimanyu Rajeshkumar Bambhaniya, Eric Qin, Christopher J. Hughes, Sreenivas Subramoney, Hyesoon Kim, Tushar Krishna |
| 2023 | ISPASS | Characterization of Data Compression in Datacenters. | Geonhwa Jeong, Bikash Sharma, Nick Terrell, Abhishek Dhanotia, Zhiwei Zhao, Niket Agarwal, Arun Kejariwal, Tushar Krishna |
| 2023 | ISPASS | ASTRA-sim2.0: Modeling Hierarchical Networks and Disaggregated Systems for Large-model Training at Scale. | William Won, Taekyung Heo, Saeed Rashidi, Srinivas Sridharan, Sudarshan Srinivasan, Tushar Krishna |
| 2022 | DAC | Self adaptive reconfigurable arrays (SARA): learning flexible GEMM accelerator configuration and mapping-space using ML. | Ananda Samajdar, Eric Qin, Michael Pellauer, Tushar Krishna |
| 2022 | DATE | DiGamma: Domain-aware Genetic Algorithm for HW-Mapping Co-optimization for DNN Accelerators. | Sheng-Chun Kao, Michael Pellauer, Angshuman Parashar, Tushar Krishna |
| 2022 | HOTI | Impact of RoCE Congestion Control Policies on Distributed Training of DNNs. | Tarannum Khan, Saeed Rashidi, Srinivas Sridharan, Pallavi Shurpali, Aditya Akella, Tushar Krishna |
| 2022 | HPCA | Stay in your Lane: A NoC with Low-overhead Multi-packet Bypassing. | Hossein Farrokhbakht, Paul V. Gratz, Tushar Krishna, Joshua San Miguel, Natalie D. Enright Jerger |
| 2022 | HPCA | MAGMA: An Optimization Framework for Mapping Multiple DNNs on Multiple Accelerator Cores. | Sheng-Chun Kao, Tushar Krishna |
| 2022 | ISCA | Themis: a network bandwidth-aware collective scheduling policy for distributed training of DL models. | Saeed Rashidi, William Won, Sudarshan Srinivasan, Srinivas Sridharan, Tushar Krishna |
| 2022 | ISPASS | Understanding Data Compression in Warehouse-Scale Datacenter Services. | Geonhwa Jeong, Bikash Sharma, Nick Terrell, Abhishek Dhanotia, Zhiwei Zhao, Niket Agarwal, Arun Kejariwal, Tushar Krishna |
| 2022 | Middleware | MicroEdge: a multi-tenant edge cluster system architecture for scalable camera processing. | Difei Cao, Jinsun Yoo, Zhuangdi Xu, Enrique Saurez, Harshit Gupta, Tushar Krishna, Umakishore Ramachandran |
| 2022 | SIGMETRICS | A Formalism of DNN Accelerator Flexibility. | Sheng-Chun Kao, Hyoukjun Kwon, Michael Pellauer, Angshuman Parashar, Tushar Krishna |
| 2021 | ASPDAC | Dataflow-Architecture Co-Design for 2.5D DNN Accelerators using Wireless Network-on-Package. | Robert Guirado, Hyoukjun Kwon, Sergi Abadal, Eduard Alarcn, Tushar Krishna |
| 2021 | ASPDAC | Bridging the Frequency Gap in Heterogeneous 3D SoCs through Technology-Specific NoC Router Architectures. | Jan Moritz Joseph, Lennart Bamberg, Geonhwa Jeong, Ruei-Ting Chien, Rainer Leupers, Alberto Garca-Ortiz, Tushar Krishna, Thilo Pionteck |
| 2021 | DAC | RASA: Efficient Register-Aware Systolic Array Matrix Engine for CPU. | Geonhwa Jeong, Eric Qin, Ananda Samajdar, Christopher J. Hughes, Sreenivas Subramoney, Hyesoon Kim, Tushar Krishna |
| 2021 | HPCA | Pitstop: Enabling a Virtual Network Free Network-on-Chip. | Hossein Farrokhbakht, Henry Kao, Kamran Hasan, Paul V. Gratz, Tushar Krishna, Joshua San Miguel, Natalie D. Enright Jerger |
| 2021 | HPCA | Heterogeneous Dataflow Accelerators for Multi-DNN Workloads. | Hyoukjun Kwon, Liangzhen Lai, Michael Pellauer, Tushar Krishna, Yu-Hsin Chen, Vikas Chandra |
| 2021 | ISCA | Enabling Compute-Communication Overlap in Distributed Deep Learning Training Platforms. | Saeed Rashidi, Matthew Denton, Srinivas Sridharan, Sudarshan Srinivasan, Amoghavarsha Suresh, Jade Nie, Tushar Krishna |
| 2021 | ISPASS | E3: A HW/SW Co-design Neuroevolution Platform for Autonomous Learning in Edge Device. | Sheng-Chun Kao, Tushar Krishna |
| 2021 | SC | SEEC: stochastic escape express channel. | Mayank Parasar, Natalie D. Enright Jerger, Paul V. Gratz, Joshua San Miguel, Tushar Krishna |
| 2020 | DAC | Kite: A Family of Heterogeneous Interposer Topologies Enabled via Accurate Interconnect Modeling. | Srikant Bharadwaj, Jieming Yin, Bradford M. Beckmann, Tushar Krishna |
| 2020 | DAC | Co-Exploration of Neural Architectures and Heterogeneous ASIC Accelerator Designs Targeting Multiple Tasks. | Lei Yang, Zheyu Yan, Meng Li, Hyoukjun Kwon, Liangzhen Lai, Tushar Krishna, Vikas Chandra, Weiwen Jiang, Yiyu Shi |
| 2020 | HOTI | Scalable Distributed Training of Recommendation Models: An ASTRA-SIM + NS3 case-study with TCP/IP transport. | Saeed Rashidi, Pallavi Shurpali, Srinivas Sridharan, Naader Hassani, Dheevatsa Mudigere, Krishnakumar Nair, Misha Smelyanskiy, Tushar Krishna |
| 2020 | HPCA | ALRESCHA: A Lightweight Reconfigurable Sparse-Computation Accelerator. | Bahar Asgari, Ramyad Hadidi, Tushar Krishna, Hyesoon Kim, Sudhakar Yalamanchili |
| 2020 | HPCA | DRAIN: Deadlock Removal for Arbitrary Irregular Networks. | Mayank Parasar, Hossein Farrokhbakht, Natalie D. Enright Jerger, Paul V. Gratz, Tushar Krishna, Joshua San Miguel |
| 2020 | HPCA | SIGMA: A Sparse and Irregular GEMM Accelerator with Flexible Interconnects for DNN Training. | Eric Qin, Ananda Samajdar, Hyoukjun Kwon, Vineet Nadella, Sudarshan Srinivasan, Dipankar Das, Bharat Kaul, Tushar Krishna |
| 2020 | ICCAD | GAMMA: Automating the HW Mapping of DNN Models on Accelerators via Genetic Algorithm. | Sheng-Chun Kao, Tushar Krishna |
| 2020 | ISPASS | CLAN: Continuous Learning using Asynchronous Neuroevolution on Commodity Edge Devices. | Parth Mannan, Ananda Samajdar, Tushar Krishna |
| 2020 | ISPASS | ASTRA-SIM: Enabling SW/HW Co-Design Exploration for Distributed DL Training Platforms. | Saeed Rashidi, Srinivas Sridharan, Sudarshan Srinivasan, Tushar Krishna |
| 2020 | ISPASS | A Systematic Methodology for Characterizing Scalability of DNN Accelerators using SCALE-Sim. | Ananda Samajdar, Jan Moritz Joseph, Yuhao Zhu, Paul N. Whatmough, Matthew Mattina, Tushar Krishna |
| 2020 | MICRO | ConfuciuX: Autonomous Hardware Resource Assignment for DNN Accelerators using Reinforcement Learning. | Sheng-Chun Kao, Geonhwa Jeong, Tushar Krishna |
| 2019 | DAC | Architecture, Chip, and Package Co-design Flow for 2.5D IC Design Enabling Heterogeneous IP Reuse. | Jinwoo Kim, Gauthaman Murali, Heechun Park, Eric Qin, Hyoukjun Kwon, Venkata Chaitanya Krishna Chekuri, Nihar Dasari, Arvind Singh, Minah Lee, Hakki Mert Torun, Kallol Roy, Madhavan Swaminathan, Saibal Mukhopadhyay, Tushar Krishna, Sung Kyu Lim |
| 2019 | FPL | Scaling the Cascades: Interconnect-Aware FPGA Implementation of Machine Learning Problems. | Ananda Samajdar, Tushar Garg, Tushar Krishna, Nachiket Kapre |
| 2019 | ISPASS | mRNA: Enabling Efficient Mapping Space Exploration for a Reconfiguration Neural Accelerator. | Zhongyuan Zhao, Hyoukjun Kwon, Sachit Kuhar, Weiguang Sheng, Zhigang Mao, Tushar Krishna |
| 2019 | MICRO | A communication-centric approach for designing flexible DNN accelerators. | Tushar Krishna |
| 2019 | MICRO | Understanding Reuse, Performance, and Hardware Cost of DNN Dataflow: A Data-Centric Approach. | Hyoukjun Kwon, Prasanth Chatarasi, Michael Pellauer, Angshuman Parashar, Vivek Sarkar, Tushar Krishna |
| 2019 | MICRO | SWAP: Synchronized Weaving of Adjacent Packets for Network Deadlock Resolution. | Mayank Parasar, Natalie D. Enright Jerger, Paul V. Gratz, Joshua San Miguel, Tushar Krishna |
| 2018 | ASPLOS | LATR: Lazy Translation Coherence. | Mohan Kumar, Steffen Maass, Sanidhya Kashyap, Jn Vesel, Zi Yan, Taesoo Kim, Abhishek Bhattacharjee, Tushar Krishna |
| 2018 | ASPLOS | MAERI: Enabling Flexible Dataflow Mapping over DNN Accelerators via Reconfigurable Interconnects. | Hyoukjun Kwon, Ananda Samajdar, Tushar Krishna |
| 2018 | DATE | Optimizing the data placement and transformation for multi-bank CGRA computing system. | Zhongyuan Zhao, Yantao Liu, Weiguang Sheng, Tushar Krishna, Qin Wang, Zhigang Mao |
| 2018 | FPGA | FastTrack: Exploiting Fast FPGA Wiring for Implementing NoC Shortcuts (Abstract Only). | Nachiket Kapre, Tushar Krishna |
| 2018 | ISCA | FastTrack: Leveraging Heterogeneous FPGA Wires to Design Low-Cost High-Performance Soft NoCs. | Nachiket Kapre, Tushar Krishna |
| 2018 | ISCA | SEESAW: Using Superpages to Improve VIPT Caches. | Mayank Parasar, Abhishek Bhattacharjee, Tushar Krishna |
| 2018 | ISCA | Synchronized Progress in Interconnection Networks (SPIN): A New Theory for Deadlock Freedom. | Aniruddh Ramrakhyani, Paul V. Gratz, Tushar Krishna |
| 2018 | ISPASS | Performance Implications of NoCs on 3D-Stacked Memories: Insights from the Hybrid Memory Cube. | Ramyad Hadidi, Bahar Asgari, Jeffrey S. Young, Burhan Ahmad Mudassar, Kartikay Garg, Tushar Krishna, Hyesoon Kim |
| 2018 | MICRO | Scalable Distributed Last-Level TLBs Using Low-Latency Interconnects. | Srikant Bharadwaj, Guilherme Cox, Tushar Krishna, Abhishek Bhattacharjee |
| 2018 | MICRO | GeneSys: Enabling Continuous Learning through Neural Network Evolution in Hardware. | Ananda Samajdar, Parth Mannan, Kartikay Garg, Tushar Krishna |
| 2017 | DATE | Automatic place-and-route of emerging LED-driven wires within a monolithically-integrated CMOS-III-V process. | Tushar Krishna, Arya Balachandran, Siau Ben Chiah, Li Zhang, Bing Wang, Cong Wang, Kenneth Eng-Kian Lee, Jrgen Michel, Li-Shiuan Peh |
| 2017 | HPCA | Static Bubble: A Framework for Deadlock-Free Irregular On-chip Topologies. | Aniruddh Ramrakhyani, Tushar Krishna |
| 2017 | ICCAD | A case for low frequency single cycle multi hop NoCs for energy efficiency and high performance. | Monodeep Kar, Tushar Krishna |
| 2017 | ISPASS | OpenSMART: Single-cycle multi-hop NoC generator in BSV and Chisel. | Hyoukjun Kwon, Tushar Krishna |
| 2017 | MICRO | Lightweight Emulation of Virtual Channels using Swaps. | Mayank Parasar, Tushar Krishna |
| 2014 | ASPLOS | Locality-oblivious cache organization leveraging single-cycle multi-hop NoCs. | Woo-Cheol Kwon, Tushar Krishna, Li-Shiuan Peh |
| 2014 | ISCA | SCORPIO: A 36-core research chip demonstrating snoopy coherence on a scalable mesh NoC with in-network ordering. | Bhavya K. Daya, Chia-Hsin Owen Chen, Suvinay Subramanian, Woo-Cheol Kwon, Sunghyun Park, Tushar Krishna, Jim Holt, Anantha P. Chandrakasan, Li-Shiuan Peh |
| 2013 | DATE | SMART: a single-cycle reconfigurable NoC for SoC applications. | Chia-Hsin Owen Chen, Sunghyun Park, Tushar Krishna, Suvinay Subramanian, Anantha P. Chandrakasan, Li-Shiuan Peh |
| 2013 | HPCA | Breaking the on-chip latency barrier using SMART. | Tushar Krishna, Chia-Hsin Owen Chen, Woo-Cheol Kwon, Li-Shiuan Peh |
| 2012 | DAC | Approaching the theoretical limits of a mesh NoC with a 16-node chip prototype in 45nm SOI. | Sunghyun Park, Tushar Krishna, Chia-Hsin Owen Chen, Bhavya K. Daya, Anantha P. Chandrakasan, Li-Shiuan Peh |
| 2011 | ICCAD | A low-swing crossbar and link generator for low-power networks-on-chip. | Chia-Hsin Owen Chen, Sunghyun Park, Tushar Krishna, Li-Shiuan Peh |
| 2011 | MICRO | Towards the ideal on-chip fabric for 1-to-many and many-to-1 communication. | Tushar Krishna, Li-Shiuan Peh, Bradford M. Beckmann, Steven K. Reinhardt |
| 2010 | ICCD | SWIFT: A SWing-reduced interconnect for a Token-based Network-on-Chip in 90nm CMOS. | Tushar Krishna, Jacob Postman, Christopher Edmonds, Li-Shiuan Peh, Patrick Chiang |
| 2009 | ISPASS | GARNET: A detailed on-chip network model inside a full-system simulator. | Niket Agarwal, Tushar Krishna, Li-Shiuan Peh, Niraj K. Jha |
| 2008 | HOTI | NoC with Near-Ideal Express Virtual Channels Using Global-Line Communication. | Tushar Krishna, Amit Kumar, Patrick Chiang, Mattan Erez, Li-Shiuan Peh |
| 2008 | ICCAD | Texture filter memory: a power-efficient and scalable texture memory architecture for mobile graphics processors. | B. V. N. Silpa, Anjul Patney, Tushar Krishna, Preeti Ranjan Panda, G. S. Visweswaran |