Tushar Krishna

ORCID

Publication Activity (10 Years)

Years Active: 2008-2024
Publications (10 Years): 172

Top Venues

Massachusetts Institute of Technology, Cambridge, MA, USA (PHD)

Education History

Massachusetts Institute of Technology, Cambridge, MA, USA

PHD

Publications

Zishen Wan, Che-Kai Liu, Hanchen Yang, Chaojian Li, Haoran You, Yonggan Fu, Cheng Wan, Tushar Krishna, Yingyan Lin, Arijit Raychowdhury
Towards Cognitive AI Systems: a Survey and Prospective on Neuro-Symbolic AI. CoRR (2024)
Hao Kang, Qingru Zhang, Souvik Kundu, Geonhwa Jeong, Zaoxing Liu, Tushar Krishna, Tuo Zhao
GEAR: An Efficient KV Cache Compression Recipe for Near-Lossless Generative Inference of LLM. CoRR (2024)
Geonhwa Jeong, Po-An Tsai, Stephen W. Keckler, Tushar Krishna
SDQ: Sparse Decomposed Quantization for LLM Inference. CoRR (2024)
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
Towards Cognitive AI Systems: Workload and Characterization of Neuro-Symbolic AI. ISPASS (2024)
Divya Kiran Kadiyala, Saeed Rashidi, Taekyung Heo, Abhimanyu Bambhaniya, Tushar Krishna, Alexandros Daglis
Leveraging Memory Expansion to Accelerate Large-Scale DL Training. ISPASS (2024)
Abhimanyu Bambhaniya, Ritik Raj, Geonhwa Jeong, Souvik Kundu, Sudarshan Srinivasan, Midhilesh Elavazhagan, Madhu Kumar, Tushar Krishna
Demystifying Platform Requirements for Diverse LLM Inference Use Cases. CoRR (2024)
Jingtian Dang, Jianming Tong, Anupam Golder, Cong Hao, Arijit Raychowdhury, Tushar Krishna
Accurate Low-Degree Polynomial Approximation of Non-Polynomial Operators for Fast Private Inference in Homomorphic Encryption. MLSys (2024)
Geonhwa Jeong, Po-An Tsai, Abhimanyu Rajeshkumar Bambhaniya, Stephen W. Keckler, Tushar Krishna
Abstracting Sparse DNN Acceleration via Structured Sparse Tensor Decomposition. CoRR (2024)
Akshat Ramachandran, Souvik Kundu, Tushar Krishna
CLAMP-ViT: Contrastive Data-Free Learning for Adaptive Post-Training Quantization of ViTs. CoRR (2024)
Jianming Tong, Anirudh Itagi, Prasanth Chatarasi, Tushar Krishna
FEATHER: A Reconfigurable Accelerator with Data Reordering Support for Low-Cost On-Chip Dataflow Switching. CoRR (2024)
Raveesh Garg, Hyoukjun Kwon, Eric Qin, Yu-Hsin Chen, Tushar Krishna, Liangzhen Lai
PipeOrgan: Efficient Inter-operation Pipelining with Flexible Spatial Organization and Interconnects. CoRR (2024)
Akshat Ramachandran, Zishen Wan, Geonhwa Jeong, John Gustafson, Tushar Krishna
Algorithm-Hardware Co-Design of Distribution-Aware Logarithmic-Posit Encodings for Efficient DNN Inference. CoRR (2024)
Zishen Wan, Che-Kai Liu, Mohamed Ibrahim, Hanchen Yang, Samuel Spetalnick, Tushar Krishna, Arijit Raychowdhury
H3DFact: Heterogeneous 3D Integrated CIM for Factorization with Holographic Perceptual Representations. DATE (2024)
Zishen Wan, Che-Kai Liu, Mohamed Ibrahim, Hanchen Yang, Samuel Spetalnick, Tushar Krishna, Arijit Raychowdhury
H3DFact: Heterogeneous 3D Integrated CIM for Factorization with Holographic Perceptual Representations. CoRR (2024)
William Won, Saeed Rashidi, Sudarshan Srinivasan, Tushar Krishna
LIBRA: Enabling Workload-Aware Multi-Dimensional Network Topology Optimization for Distributed Training of Large AI Models. ISPASS (2024)
Abhimanyu Rajeshkumar Bambhaniya, Amir Yazdanbakhsh, Suvinay Subramanian, Sheng-Chun Kao, Shivani Agrawal, Utku Evci, Tushar Krishna
Progressive Gradient Flow for Robust N: M Sparsity Training in Transformers. CoRR (2024)
Jianming Tong, Jingtian Dang, Anupam Golder, Callie Hao, Arijit Raychowdhury, Tushar Krishna
Accurate Low-Degree Polynomial Approximation of Non-polynomial Operators for Fast Private Inference in Homomorphic Encryption. CoRR (2024)
Jianming Tong, Anirudh Itagi, Prasanth Chatarasi, Tushar Krishna
FEATHER: A Reconfigurable Accelerator with Data Reordering Support for Low-Cost On-Chip Dataflow Switching. ISCA (2024)
Saeed Rashidi, William Won, Sudarshan Srinivasan, Puneet Gupta, Tushar Krishna
FRED: Flexible REduction-Distribution Interconnect and Communication Implementation for Wafer-Scale Distributed Training of DNN Models. CoRR (2024)
Maruti K. Mudunuru, James A. Ang, Mahantesh Halappanavar, Simon D. Hammond, Maya B. Gokhale, James C. Hoe, Tushar Krishna, Sarat Sreepathi, Matthew R. Norman, Ivy Bo Peng, Philip W. Jones
Perspectives on AI Architectures and Co-design for Earth System Predictability. CoRR (2023)
Gauthaman Murali, Aditya Iyer, Lingjun Zhu, Jianming Tong, Francisco Muñoz-Martínez, Srivatsa Rangachar Srinivasa, Tanay Karnik, Tushar Krishna, Sung Kyu Lim
On Continuing DNN Accelerator Architecture Scaling Using Tightly Coupled Compute-on-Memory 3-D ICs. IEEE Trans. Very Large Scale Integr. Syst. 31 (10) (2023)
Payman Behnam, Jianming Tong, Alind Khare, Yangyu Chen, Yue Pan, Pranav Gadikar, Abhimanyu Rajeshkumar Bambhaniya, Tushar Krishna, Alexey Tumanov
Subgraph Stationary Hardware-Software Inference Co-Design. CoRR (2023)
Anurag Kar, Xueyang Liu, Yonghae Kim, Gururaj Saileshwar, Hyesoon Kim, Tushar Krishna
Mitigating Timing-Based NoC Side-Channel Attacks With LLC Remapping. IEEE Comput. Archit. Lett. 22 (1) (2023)
Geonhwa Jeong, Sana Damani, Abhimanyu Rajeshkumar Bambhaniya, Eric Qin, Christopher J. Hughes, Sreenivas Subramoney, Hyesoon Kim, Tushar Krishna
VEGETA: Vertically-Integrated Extensions for Sparse/Dense GEMM Tile Acceleration on CPUs. HPCA (2023)
Gokul Subramanian Ravi, Tushar Krishna, Mikko H. Lipasti
TNT: A Modular Approach to Traversing Physically Heterogeneous NOCs at Bare-wire Latency. ACM Trans. Archit. Code Optim. 20 (3) (2023)
William Won, Midhilesh Elavazhagan, Sudarshan Srinivasan, Ajaya Durg, Swati Gupta, Tushar Krishna
TACOS: Topology-Aware Collective Algorithm Synthesizer for Distributed Training. CoRR (2023)
William Won, Taekyung Heo, Saeed Rashidi, Srinivas Sridharan, Sudarshan Srinivasan, Tushar Krishna
ASTRA-sim2.0: Modeling Hierarchical Networks and Disaggregated Systems for Large-model Training at Scale. CoRR (2023)
John Kim, Tushar Krishna
Introduction to the Special Issue on Next-Generation On-Chip and Off-Chip Communication Architectures for Edge, Cloud and HPC. ACM J. Emerg. Technol. Comput. Syst. 19 (4) (2023)
Srinivas Sridharan, Taekyung Heo, Louis Feng, Zhaodong Wang, Matt Bergeron, Wenyin Fu, Shengbao Zheng, Brian Coutinho, Saeed Rashidi, Changhai Man, Tushar Krishna
Chakra: Advancing Performance Benchmarking and Co-design using Standardized Execution Traces. CoRR (2023)
Geonhwa Jeong, Sana Damani, Abhimanyu Rajeshkumar Bambhaniya, Eric Qin, Christopher J. Hughes, Sreenivas Subramoney, Hyesoon Kim, Tushar Krishna
VEGETA: Vertically-Integrated Extensions for Sparse/Dense GEMM Tile Acceleration on CPUs. CoRR (2023)
Afshin Abdi, Saeed Rashidi, Faramarz Fekri, Tushar Krishna
Efficient Distributed Inference of Deep Neural Networks via Restructuring and Pruning. AAAI (2023)
Raveesh Garg, Michael Pellauer, Sivasankaran Rajamanickam, Tushar Krishna
Exploiting Inter-Operation Data Reuse in Scientific Applications using GOGETA. CoRR (2023)
Francisco Muñoz-Martínez, Raveesh Garg, Michael Pellauer, José L. Abellán, Manuel E. Acacio, Tushar Krishna
Flexagon: A Multi-dataflow Sparse-Sparse Matrix Multiplication Accelerator for Efficient DNN Processing. ASPLOS (3) (2023)
William Won, Taekyung Heo, Saeed Rashidi, Srinivas Sridharan, Sudarshan Srinivasan, Tushar Krishna
ASTRA-sim2.0: Modeling Hierarchical Networks and Disaggregated Systems for Large-model Training at Scale. ISPASS (2023)
Hyoukjun Kwon, Krishnakumar Nair, Jamin Seo, Jason Yik, Debabrata Mohapatra, Dongyuan Zhan, Jinook Song, Peter Capak, Peizhao Zhang, Peter Vajda, Colby R. Banbury, Mark Mazumder, Liangzhen Lai, Ashish Sirasao, Tushar Krishna, Harshit Khaitan, Vikas Chandra, Vijay Janapa Reddi
XRBench: An Extended Reality (XR) Machine Learning Benchmark Suite for the Metaverse. MLSys (2023)
Sudarshan Sharma, Uday Kamal, Jianming Tong, Tushar Krishna, Saibal Mukhopadhyay
SNATCH: Stealing Neural Network Architecture from ML Accelerator in Intelligent Sensors. SENSORS (2023)
Francisco Muñoz-Martínez, José L. Abellán, Manuel E. Acacio, Tushar Krishna
STIFT: A Spatio-Temporal Integrated Folding Tree for Efficient Reductions in Flexible DNN Accelerators. ACM J. Emerg. Technol. Comput. Syst. 19 (4) (2023)
Payman Behnam, Jianming Tong, Alind Khare, Yangyu Chen, Yue Pan, Pranav Gadikar, Abhimanyu Bambhaniya, Tushar Krishna, Alexey Tumanov
Hardware-Software Co-Design for Real-Time Latency-Accuracy Navigation in Tiny Machine Learning Applications. IEEE Micro 43 (6) (2023)
Payman Behnam, Alexey Tumanov, Tushar Krishna, Pranav Gadikar, Yangyu Chen, Jianming Tong, Yue Pan, Abhimanyu Rajeshkumar Bambhaniya, Alind Khare
Subgraph Stationary Hardware-Software Inference Co-Design. MLSys (2023)
Ananda Samajdar, Jan Moritz Joseph, Tushar Krishna
AIrchitect: Automating Hardware Architecture and Mapping Optimization. DATE (2023)
Geonhwa Jeong, Bikash Sharma, Nick Terrell, Abhishek Dhanotia, Zhiwei Zhao, Niket Agarwal, Arun Kejariwal, Tushar Krishna
Characterization of Data Compression in Datacenters. ISPASS (2023)
Sheng-Chun Kao, Suvinay Subramanian, Gaurav Agrawal, Amir Yazdanbakhsh, Tushar Krishna
FLAT: An Optimized Dataflow for Mitigating Attention Bottlenecks. ASPLOS (2) (2023)
Zeyu Chen, Ankur Bindal, Vaidehi Garg, Tushar Krishna
SPOCK: Reverse Packet Traversal for Deadlock Recovery. IEEE Des. Test 40 (6) (2023)
Francisco Muñoz-Martínez, Raveesh Garg, José L. Abellán, Michael Pellauer, Manuel E. Acacio, Tushar Krishna
Flexagon: A Multi-Dataflow Sparse-Sparse Matrix Multiplication Accelerator for Efficient DNN Processing. CoRR (2023)
Abhimanyu Rajeshkumar Bambhaniya, Yangyu Chen, Anshuman, Rohan Banerjee, Tushar Krishna
Proteus : HLS-based NoC Generator and Simulator. DATE (2023)
Prasanth Chatarasi, Hyoukjun Kwon, Angshuman Parashar, Michael Pellauer, Tushar Krishna, Vivek Sarkar
Marvel: A Data-Centric Approach for Mapping Deep Learning Operators on Spatial Accelerators. ACM Trans. Archit. Code Optim. 19 (1) (2022)
Gordon Euhyun Moon, Hyoukjun Kwon, Geonhwa Jeong, Prasanth Chatarasi, Sivasankaran Rajamanickam, Tushar Krishna
Evaluating Spatial Accelerator Architectures with Tiled Matrix-Matrix Multiplication. IEEE Trans. Parallel Distributed Syst. 33 (4) (2022)
Raveesh Garg, Eric Qin, Francisco Muñoz-Martínez, Robert Guirado, Akshay Jain, Sergi Abadal, José L. Abellán, Manuel E. Acacio, Eduard Alarcón, Sivasankaran Rajamanickam, Tushar Krishna
Understanding the Design-Space of Sparse/Dense Multiphase GNN dataflows on Spatial Accelerators. IPDPS (2022)
Michael Ferdman, Jorge Albericio, Tushar Krishna, Peter A. Milder
Guest Editorial: IEEE TC Special Issue: Hardware Acceleration of Machine Learning. IEEE Trans. Computers 71 (12) (2022)
Sheng-Chun Kao, Michael Pellauer, Angshuman Parashar, Tushar Krishna
DiGamma: Domain-aware Genetic Algorithm for HW-Mapping Co-optimization for DNN Accelerators. DATE (2022)
Sheng-Chun Kao, Hyoukjun Kwon, Michael Pellauer, Angshuman Parashar, Tushar Krishna
A Formalism of DNN Accelerator Flexibility. SIGMETRICS (Abstracts) (2022)
Sheng-Chun Kao, Michael Pellauer, Angshuman Parashar, Tushar Krishna
DiGamma: Domain-aware Genetic Algorithm for HW-Mapping Co-optimization for DNN Accelerators. CoRR (2022)
Sheng-Chun Kao, Hyoukjun Kwon, Michael Pellauer, Angshuman Parashar, Tushar Krishna
A Formalism of DNN Accelerator Flexibility. Proc. ACM Meas. Anal. Comput. Syst. 6 (2) (2022)
Eric Qin, Raveesh Garg, Abhimanyu Bambhaniya, Michael Pellauer, Angshuman Parashar, Sivasankaran Rajamanickam, Cong Hao, Tushar Krishna
Enabling Flexibility for Sparse Tensor Acceleration via Heterogeneity. CoRR (2022)
Sheng-Chun Kao, Xiaoyu Huang, Tushar Krishna
DNNFuser: Generative Pre-Trained Transformer as a Generalized Mapper for Layer Fusion in DNN Accelerators. CoRR (2022)
Geonhwa Jeong, Bikash Sharma, Nick Terrell, Abhishek Dhanotia, Zhiwei Zhao, Niket Agarwal, Arun Kejariwal, Tushar Krishna
Understanding Data Compression in Warehouse-Scale Datacenter Services. ISPASS (2022)
Tarannum Khan, Saeed Rashidi, Srinivas Sridharan, Pallavi Shurpali, Aditya Akella, Tushar Krishna
Impact of RoCE Congestion Control Policies on Distributed Training of DNNs. CoRR (2022)
Difei Cao, Jinsun Yoo, Zhuangdi Xu, Enrique Saurez, Harshit Gupta, Tushar Krishna, Umakishore Ramachandran
MicroEdge: a multi-tenant edge cluster system architecture for scalable camera processing. Middleware (2022)
Tarannum Khan, Saeed Rashidi, Srinivas Sridharan, Pallavi Shurpali, Aditya Akella, Tushar Krishna
Impact of RoCE Congestion Control Policies on Distributed Training of DNNs. HOTI (2022)
Divya Kiran Kadiyala, Saeed Rashidi, Taekyung Heo, Abhimanyu Rajeshkumar Bambhaniya, Tushar Krishna, Alexandros Daglis
COMET: A Comprehensive Cluster Design Methodology for Distributed Deep Learning Training. CoRR (2022)
Ananda Samajdar, Eric Qin, Michael Pellauer, Tushar Krishna
Self adaptive reconfigurable arrays (SARA): learning flexible GEMM accelerator configuration and mapping-space using ML. DAC (2022)
Sheng-Chun Kao, Hyoukjun Kwon, Michael Pellauer, Angshuman Parashar, Tushar Krishna
A Formalism of DNN Accelerator Flexibility. CoRR (2022)
Hossein Farrokhbakht, Paul V. Gratz, Tushar Krishna, Joshua San Miguel, Natalie D. Enright Jerger
Stay in your Lane: A NoC with Low-overhead Multi-packet Bypassing. HPCA (2022)
Sheng-Chun Kao, Angshuman Parashar, Po-An Tsai, Tushar Krishna
Demystifying Map Space Exploration for NPUs. CoRR (2022)
Sheng-Chun Kao, Amir Yazdanbakhsh, Suvinay Subramanian, Shivani Agrawal, Utku Evci, Tushar Krishna
Training Recipe for N: M Structured Sparsity with Decaying Pruning Mask. CoRR (2022)
Sheng-Chun Kao, Angshuman Parashar, Po-An Tsai, Tushar Krishna
Demystifying Map Space Exploration for NPUs. IISWC (2022)
Saeed Rashidi, William Won, Sudarshan Srinivasan, Srinivas Sridharan, Tushar Krishna
Themis: a network bandwidth-aware collective scheduling policy for distributed training of DL models. ISCA (2022)
Sheng-Chun Kao, Tushar Krishna
MAGMA: An Optimization Framework for Mapping Multiple DNNs on Multiple Accelerator Cores. HPCA (2022)
Hyoukjun Kwon, Krishnakumar Nair, Jamin Seo, Jason Yik, Debabrata Mohapatra, Dongyuan Zhan, Jinook Song, Peter Capak, Peizhao Zhang, Peter Vajda, Colby R. Banbury, Mark Mazumder, Liangzhen Lai, Ashish Sirasao, Tushar Krishna, Harshit Khaitan, Vikas Chandra, Vijay Janapa Reddi
XRBench: An Extended Reality (XR) Machine Learning Benchmark Suite for the Metaverse. CoRR (2022)
Mayank Parasar, Natalie D. Enright Jerger, Paul V. Gratz, Joshua San Miguel, Tushar Krishna
SEEC: stochastic escape express channel. SC (2021)
Geonhwa Jeong, Gokcen Kestor, Prasanth Chatarasi, Angshuman Parashar, Po-An Tsai, Sivasankaran Rajamanickam, Roberto Gioiosa, Tushar Krishna
Union: A Unified HW-SW Co-Design Ecosystem in MLIR for Evaluating Tensor Operations on Spatial Accelerators. CoRR (2021)
Srikant Bharadwaj, Shomit Das, Yasuko Eckert, Mark Oskin, Tushar Krishna
DUB: dynamic underclocking and bypassing in nocs for heterogeneous GPU workloads. NOCS (2021)
Hossein Farrokhbakht, Henry Kao, Kamran Hasan, Paul V. Gratz, Tushar Krishna, Joshua San Miguel, Natalie D. Enright Jerger
Pitstop: Enabling a Virtual Network Free Network-on-Chip. HPCA (2021)
Eric Qin, Geonhwa Jeong, William Won, Sheng-Chun Kao, Hyoukjun Kwon, Sudarshan Srinivasan, Dipankar Das, Gordon Euhyun Moon, Sivasankaran Rajamanickam, Tushar Krishna
Extending Sparse Tensor Accelerators to Support Multiple Compression Formats. CoRR (2021)
Jan Moritz Joseph, Ananda Samajdar, Lingjun Zhu, Rainer Leupers, Sung Kyu Lim, Thilo Pionteck, Tushar Krishna
Architecture, Dataflow and Physical Design Implications of 3D-ICs for DNN-Accelerators. ISQED (2021)
Geonhwa Jeong, Gokcen Kestor, Prasanth Chatarasi, Angshuman Parashar, Po-An Tsai, Sivasankaran Rajamanickam, Roberto Gioiosa, Tushar Krishna
Union: A Unified HW-SW Co-Design Ecosystem in MLIR for Evaluating Tensor Operations on Spatial Accelerators. PACT (2021)
Bahar Asgari, Ramyad Hadidi, Tushar Krishna, Hyesoon Kim, Sudhakar Yalamanchili
Efficiently Solving Partial Differential Equations in a Partially Reconfigurable Specialized Hardware. IEEE Trans. Computers 70 (4) (2021)
William Won, Saeed Rashidi, Sudarshan Srinivasan, Tushar Krishna
Exploring Multi-dimensional Hierarchical Network Topologies for Efficient Distributed Training of Trillion Parameter DL Models. CoRR (2021)
Ananda Samajdar, Michael Pellauer, Tushar Krishna
Self-Adaptive Reconfigurable Arrays (SARA): Using ML to Assist Scaling GEMM Acceleration. CoRR (2021)
Geonhwa Jeong, Eric Qin, Ananda Samajdar, Christopher J. Hughes, Sreenivas Subramoney, Hyesoon Kim, Tushar Krishna
RASA: Efficient Register-Aware Systolic Array Matrix Engine for CPU. DAC (2021)
Raveesh Garg, Eric Qin, Francisco Muñoz-Martínez, Robert Guirado, Akshay Jain, Sergi Abadal, José L. Abellán, Manuel E. Acacio, Eduard Alarcón, Sivasankaran Rajamanickam, Tushar Krishna
A Taxonomy for Classification and Comparison of Dataflows for GNN Accelerators. CoRR (2021)
Lennart Bamberg, Tushar Krishna, Jan Moritz Joseph
Technology-aware Router Architectures for On-Chip-Networks in Heterogeneous Technologies. NANOCOM (2021)
Ananda Samajdar, Jan Moritz Joseph, Matthew Denton, Tushar Krishna
AIRCHITECT: Learning Custom Architecture Design and Mapping Space. CoRR (2021)
Hyoukjun Kwon, Liangzhen Lai, Michael Pellauer, Tushar Krishna, Yu-Hsin Chen, Vikas Chandra
Heterogeneous Dataflow Accelerators for Multi-DNN Workloads. HPCA (2021)
Gauthaman Murali, Heechun Park, Eric Qin, Hakki Mert Torun, Majid Ahadi Dolatsara, Madhavan Swaminathan, Tushar Krishna, Sung Kyu Lim
Clock Delivery Network Design and Analysis for Interposer-Based 2.5-D Heterogeneous Systems. IEEE Trans. Very Large Scale Integr. Syst. 29 (4) (2021)
Gordon Euhyun Moon, Hyoukjun Kwon, Geonhwa Jeong, Prasanth Chatarasi, Sivasankaran Rajamanickam, Tushar Krishna
Evaluating Spatial Accelerator Architectures with Tiled Matrix-Matrix Multiplication. CoRR (2021)
Hyoukjun Kwon, Michael Pellauer, Angshuman Parashar, Tushar Krishna
Flexion: A Quantitative Metric for Flexibility in DNN Accelerators. IEEE Comput. Archit. Lett. 20 (1) (2021)
Sheng-Chun Kao, Tushar Krishna
Domain-specific Genetic Algorithm for Multi-tenant DNNAccelerator Scheduling. CoRR (2021)
Saeed Rashidi, Matthew Denton, Srinivas Sridharan, Sudarshan Srinivasan, Amoghavarsha Suresh, Jade Nie, Tushar Krishna
Enabling Compute-Communication Overlap in Distributed Deep Learning Training Platforms. ISCA (2021)
Jan Moritz Joseph, Lennart Bamberg, Geonhwa Jeong, Ruei-Ting Chien, Rainer Leupers, Alberto García-Ortiz, Tushar Krishna, Thilo Pionteck
Bridging the Frequency Gap in Heterogeneous 3D SoCs through Technology-Specific NoC Router Architectures. ASP-DAC (2021)
Sheng-Chun Kao, Tushar Krishna
E3: A HW/SW Co-design Neuroevolution Platform for Autonomous Learning in Edge Device. ISPASS (2021)
Francisco Muñoz-Martínez, José L. Abellán, Manuel E. Acacio, Tushar Krishna
STONNE: Enabling Cycle-Level Microarchitectural Simulation for DNN Inference Accelerators. IISWC (2021)
Geonhwa Jeong, Eric Qin, Ananda Samajdar, Christopher J. Hughes, Sreenivas Subramoney, Hyesoon Kim, Tushar Krishna
RASA: Efficient Register-Aware Systolic Array Matrix Engine for CPU. CoRR (2021)
Robert Guirado, Hyoukjun Kwon, Sergi Abadal, Eduard Alarcón, Tushar Krishna
Dataflow-Architecture Co-Design for 2.5D DNN Accelerators using Wireless Network-on-Package. ASP-DAC (2021)
Eric Qin, Geonhwa Jeong, William Won, Sheng-Chun Kao, Hyoukjun Kwon, Sudarshan Srinivasan, Dipankar Das, Gordon Euhyun Moon, Sivasankaran Rajamanickam, Tushar Krishna
Extending Sparse Tensor Accelerators to Support Multiple Compression Formats. IPDPS (2021)
Sheng-Chun Kao, Suvinay Subramanian, Gaurav Agrawal, Tushar Krishna
ATTACC the Quadratic Bottleneck of Attention Layers. CoRR (2021)
Saeed Rashidi, William Won, Sudarshan Srinivasan, Srinivas Sridharan, Tushar Krishna
Themis: A Network Bandwidth-Aware Collective Scheduling Policy for Distributed Training of DL Models. CoRR (2021)
Francisco Muñoz-Martínez, José L. Abellán, Manuel E. Acacio, Tushar Krishna
A novel network fabric for efficient spatio-temporal reduction in flexible DNN accelerators. NOCS (2021)
Francisco Muñoz-Martínez, José L. Abellán, Manuel E. Acacio, Tushar Krishna
STONNE: Enabling Cycle-Level Microarchitectural Simulation for DNN Inference Accelerators. IEEE Comput. Archit. Lett. 20 (2) (2021)
Bahar Asgari, Ramyad Hadidi, Tushar Krishna, Hyesoon Kim, Sudhakar Yalamanchili
ALRESCHA: A Lightweight Reconfigurable Sparse-Computation Accelerator. HPCA (2020)

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Publication Activity (10 Years)

Top Topics

Top Venues

Tushar Krishna