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Sumit K. Mandal
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2020 – today
- 2024
- [j21]Abhi Jaiswal, K. C. Sharin Shahana
, Sujitha Ravichandran, K. Adarsh
HALO: Communication-Aware Heterogeneous 2.5-D System for Energy-Efficient LLM Execution at Edge. IEEE J. Emerg. Sel. Topics Circuits Syst. 14(3): 425-439 (2024) - [c13]Zhenyu Wang, Jingbo Sun, A. Alper Goksoy, Sumit K. Mandal, Yaotian Liu, Jae-Sun Seo, Chaitali Chakrabarti, Ümit Y. Ogras, Vidya A. Chhabria, Jeff Zhang, Yu Cao:
Exploiting 2.5D/3D Heterogeneous Integration for AI Computing. ASPDAC 2024: 758-764 - [c12]Praveen Nagil
DISHA: Low-Energy Sparse Transformer at Edge for Outdoor Navigation for the Visually Impaired Individuals. ISLPED 2024: 1-6 - [i13]Praveen Nagil, Sumit K. Mandal:
DISHA: Low-Energy Sparse Transformer at Edge for Outdoor Navigation for the Visually Impaired Individuals. CoRR abs/2406.15864 (2024) - 2023
- [j20]K. Neethu
ELEMENT: Energy-Efficient Multi-NoP Architecture for IMC-Based 2.5-D Accelerator for DNN Training. IEEE Des. Test 40(6): 51-63 (2023) - [j19]Shruti Yadav Narayana
Fast Analysis Using Finite Queuing Model for Multilayer NoCs. IEEE Des. Test 40(6): 112-124 (2023) - [j18]A. Alper Goksoy
CANNON: Communication-Aware Sparse Neural Network Optimization. IEEE Trans. Emerg. Top. Comput. 11(4): 882-894 (2023) - [j17]Sumit K. Mandal
Fast Performance Analysis for NoCs With Weighted Round-Robin Arbitration and Finite Buffers. IEEE Trans. Very Large Scale Integr. Syst. 31(5): 670-683 (2023) - [c11]Zhenyu Wang, Jingbo Sun, A. Alper Goksoy, Sumit K. Mandal, Jae-Sun Seo, Chaitali Chakrabarti, Ümit Y. Ogras, Vidya A. Chhabria, Yu Cao:
Benchmarking Heterogeneous Integration with 2.5D/3D Interconnect Modeling. ASICON 2023: 1-4 - [c10]Shruti Yadav Narayana, Sumit K. Mandal, Raid Ayoub, Michael Kishinevsky, Ümit Y. Ogras:
A Lightweight Congestion Control Technique for NoCs with Deflection Routing. DATE 2023: 1-2 - [c9]Harsh Sharma
Achieving Datacenter-scale Performance through Chiplet-based Manycore Architectures. DATE 2023: 1-6 - [i12]Shruti Yadav Narayana, Sumit K. Mandal, Raid Ayoub, Michael Kishinevsky, Ümit Y. Ogras
Machine Learning-based Low Overhead Congestion Control Algorithm for Industrial NoCs. CoRR abs/2302.12779 (2023) - 2022
- [j16]Sumit K. Mandal
COIN: Communication-Aware In-Memory Acceleration for Graph Convolutional Networks. IEEE J. Emerg. Sel. Topics Circuits Syst. 12(2): 472-485 (2022) - [j15]Gokul Krishnan
Impact of On-chip Interconnect on In-memory Acceleration of Deep Neural Networks. ACM J. Emerg. Technol. Comput. Syst. 18(2): 34:1-34:22 (2022) - [j14]Harsh Sharma
SWAP: A Server-Scale Communication-Aware Chiplet-Based Manycore PIM Accelerator. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 41(11): 4145-4156 (2022) - [c8]Gokul Krishnan, A. Alper Goksoy, Sumit K. Mandal, Zhenyu Wang, Chaitali Chakrabarti, Jae-sun Seo, Ümit Y. Ogras
Big-Little Chiplets for In-Memory Acceleration of DNNs: A Scalable Heterogeneous Architecture. ICCAD 2022: 8:1-8:9 - [c7]Daniel W. Bliss, Tutu Ajayi, Ali Akoglu
Enabling Software-Defined RF Convergence with a Novel Coarse-Scale Heterogeneous Processor. ISCAS 2022: 443-447 - [i11]Sumit K. Mandal, Gokul Krishnan, A. Alper Goksoy, Gopikrishnan Ravindran Nair, Yu Cao, Ümit Y. Ogras
COIN: Communication-Aware In-Memory Acceleration for Graph Convolutional Networks. CoRR abs/2205.07311 (2022) - 2021
- [j13]Sumit K. Mandal
Analytical Performance Modeling of NoCs under Priority Arbitration and Bursty Traffic. IEEE Embed. Syst. Lett. 13(3): 98-101 (2021) - [j12]Guihong Li, Sumit K. Mandal, Ümit Y. Ogras
FLASH: Fast Neural Architecture Search with Hardware Optimization. ACM Trans. Embed. Comput. Syst. 20(5s): 63:1-63:26 (2021) - [j11]Gokul Krishnan, Sumit K. Mandal, Manvitha Pannala, Chaitali Chakrabarti, Jae-Sun Seo, Ümit Y. Ogras
SIAM: Chiplet-based Scalable In-Memory Acceleration with Mesh for Deep Neural Networks. ACM Trans. Embed. Comput. Syst. 20(5s): 68:1-68:24 (2021) - [j10]Jian Zhou
Front-End Architecture Design for Low-Complexity 3-D Ultrasound Imaging Based on Synthetic Aperture Sequential Beamforming. IEEE Trans. Very Large Scale Integr. Syst. 29(2): 333-346 (2021) - [c6]Gokul Krishnan, Sumit K. Mandal, Chaitali Chakrabarti, Jae-Sun Seo, Ümit Y. Ogras
System-Level Benchmarking of Chiplet-based IMC Architectures for Deep Neural Network Acceleration. ASICON 2021: 1-4 - [c5]Sumit K. Mandal, Jie Tong, Raid Ayoub, Michael Kishinevsky, Ahmed Abousamra, Ümit Y. Ogras
Theoretical Analysis and Evaluation of NoCs with Weighted Round-Robin Arbitration. ICCAD 2021: 1-9 - [i10]Gokul Krishnan, Sumit K. Mandal, Chaitali Chakrabarti, Jae-sun Seo, Ümit Y. Ogras, Yu Cao:
Impact of On-Chip Interconnect on In-Memory Acceleration of Deep Neural Networks. CoRR abs/2107.02358 (2021) - [i9]Guihong Li, Sumit K. Mandal, Ümit Y. Ogras, Radu Marculescu:
FLASH: Fast Neural Architecture Search with Hardware Optimization. CoRR abs/2108.00568 (2021) - [i8]Gokul Krishnan, Sumit K. Mandal, Manvitha Pannala, Chaitali Chakrabarti, Jae-sun Seo, Ümit Y. Ogras, Yu Cao:
SIAM: Chiplet-based Scalable In-Memory Acceleration with Mesh for Deep Neural Networks. CoRR abs/2108.08903 (2021) - [i7]Sumit K. Mandal, Jie Tong, Raid Ayoub, Michael Kishinevsky, Ahmed Abousamra, Ümit Y. Ogras:
Theoretical Analysis and Evaluation of NoCs with Weighted Round-Robin Arbitration. CoRR abs/2108.09534 (2021) - 2020
- [j9]Ganapati Bhat
Determining Mechanical Stress Testing Parameters for FHE Designs with Low Computational Overhead. IEEE Des. Test 37(4): 35-41 (2020) - [j8]Sudeep Pasricha
A Survey on Energy Management for Mobile and IoT Devices. IEEE Des. Test 37(5): 7-24 (2020) - [j7]Gokul Krishnan
Interconnect-Aware Area and Energy Optimization for In-Memory Acceleration of DNNs. IEEE Des. Test 37(6): 79-87 (2020) - [j6]Sumit K. Mandal
A Latency-Optimized Reconfigurable NoC for In-Memory Acceleration of DNNs. IEEE J. Emerg. Sel. Topics Circuits Syst. 10(3): 362-375 (2020) - [j5]Anish Krishnakumar
Runtime Task Scheduling Using Imitation Learning for Heterogeneous Many-Core Systems. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 39(11): 4064-4077 (2020) - [j4]Sumit K. Mandal, Ganapati Bhat, Janardhan Rao Doppa, Partha Pratim Pande, Ümit Y. Ogras
An Energy-aware Online Learning Framework for Resource Management in Heterogeneous Platforms. ACM Trans. Design Autom. Electr. Syst. 25(3): 28:1-28:26 (2020) - [c4]Sumit K. Mandal, Ümit Y. Ogras
Online Adaptive Learning for Runtime Resource Management of Heterogeneous SoCs. DAC 2020: 1-6 - [c3]Sumit K. Mandal, Anish Krishnakumar, Raid Ayoub, Michael Kishinevsky, Ümit Y. Ogras
Performance Analysis of Priority-Aware NoCs with Deflection Routing under Traffic Congestion. ICCAD 2020: 42:1-42:9 - [c2]Raid Ayoub, Michael Kishinevsky, Sumit K. Mandal, Ümit Y. Ogras:
Analytical modeling of NoCs for fast simulation and design exploration (invited). SLIP 2020: 8 - [i6]Sumit K. Mandal, Ganapati Bhat, Janardhan Rao Doppa, Partha Pratim Pande, Ümit Y. Ogras:
An Energy-Aware Online Learning Framework for Resource Management in Heterogeneous Platforms. CoRR abs/2003.09526 (2020) - [i5]Anish Krishnakumar, Samet E. Arda, A. Alper Goksoy, Sumit K. Mandal, Ümit Y. Ogras, Anderson L. Sartor, Radu Marculescu:
Runtime Task Scheduling using Imitation Learning for Heterogeneous Many-Core Systems. CoRR abs/2007.09361 (2020) - [i4]Sumit K. Mandal, Raid Ayoub, Michael Kishinevsky, Mohammad M. Islam, Ümit Y. Ogras:
Analytical Performance Modeling of NoCs under Priority Arbitration and Bursty Traffic. CoRR abs/2007.13951 (2020) - [i3]Sumit K. Mandal, Anish Krishnakumar, Raid Ayoub, Michael Kishinevsky, Ümit Y. Ogras:
Performance Analysis of Priority-Aware NoCs with Deflection Routing under Traffic Congestion. CoRR abs/2008.03904 (2020) - [i2]Sumit K. Mandal, Ümit Y. Ogras, Janardhan Rao Doppa, Raid Zuhair Ayoub, Michael Kishinevsky, Partha Pratim Pande:
Online Adaptive Learning for Runtime Resource Management of Heterogeneous SoCs. CoRR abs/2008.09728 (2020)
2010 – 2019
- 2019
- [j3]Ujjwal Gupta
A Deep Q-Learning Approach for Dynamic Management of Heterogeneous Processors. IEEE Comput. Archit. Lett. 18(1): 14-17 (2019) - [j2]Sumit K. Mandal
Analytical Performance Models for NoCs with Multiple Priority Traffic Classes. ACM Trans. Embed. Comput. Syst. 18(5s): 52:1-52:21 (2019) - [j1]Sumit K. Mandal
Dynamic Resource Management of Heterogeneous Mobile Platforms via Imitation Learning. IEEE Trans. Very Large Scale Integr. Syst. 27(12): 2842-2854 (2019) - [i1]Sumit K. Mandal, Raid Ayoub, Michael Kishinevsky, Ümit Y. Ogras:
Analytical Performance Models for NoCs with Multiple Priority Traffic Classes. CoRR abs/1908.02408 (2019) - 2018
- [c1]Ganapati Bhat, Sumit K. Mandal, Ujjwal Gupta, Ümit Y. Ogras
Online learning for adaptive optimization of heterogeneous SoCs. ICCAD 2018: 61
Coauthor Index
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last updated on 2024-11-30 00:16 CET by the dblp team
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