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ORCIDPartha Pratim Pande
Partha Pande 0001
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- affiliation: Washington State University, Pullman, WA, USA
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2020 – today
- 2024
[j109]Partha Pratim Pande
:
Ethics in Computing. IEEE Des. Test 41(1): 4 (2024)- [j108]Partha Pratim Pande:
Special Issue on the 2021 Workshop on Top Picks in Hardware and Embedded Security. IEEE Des. Test 41(2): 4 (2024) - [j107]Partha Pratim Pande:
Robust and Secure Systems. IEEE Des. Test 41(3): 4 (2024) - [j106]Partha Pratim Pande:
Silicon Lifecycle Management. IEEE Des. Test 41(4): 4 (2024) - [j105]Partha Pratim Pande:
Postquantum Cryptography for Internet of Things. IEEE Des. Test 41(5): 4 (2024) - [j104]Ching-Yuan Chen, Biresh Kumar Joardar, Janardhan Rao Doppa, Partha Pratim Pande, Krishnendu Chakrabarty:
Mitigating Slow-to-Write Errors in Memristor-Mapped Graph Neural Networks Induced by Adversarial Attacks. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 43(8): 2411-2425 (2024) - [c111]Pratyush Dhingra, Chukwufumnanya Ogbogu, Biresh Kumar Joardar, Janardhan Rao Doppa, Ananth Kalyanaraman, Partha Pratim Pande:
FARe: Fault-Aware GNN Training on ReRAM-Based PIM Accelerators. DATE 2024: 1-6 - [c110]Harsh Sharma, Gaurav Narang, Janardhan Rao Doppa, Ümit Y. Ogras, Partha Pratim Pande:
Dataflow-Aware PIM-Enabled Manycore Architecture for Deep Learning Workloads. DATE 2024: 1-6 - [c109]Jaehyun Park, Alish Kanani, Lukas Pfromm, Harsh Sharma, Parth Solanki, Eric Tervo, Janardhan Rao Doppa, Partha Pratim Pande, Ümit Y. Ogras:
Thermal Modeling and Management Challenges in Heterogenous Integration: 2.5D Chiplet Platforms and Beyond. VTS 2024: 1-4 - [i20]Pratyush Dhingra, Chukwufumnanya Ogbogu, Biresh Kumar Joardar, Janardhan Rao Doppa, Ananth Kalyanaraman, Partha Pratim Pande:
FARe: Fault-Aware GNN Training on ReRAM-based PIM Accelerators. CoRR abs/2401.10522 (2024) - [i19]Harsh Sharma, Gaurav Narang, Janardhan Rao Doppa, Ümit Y. Ogras, Partha Pratim Pande:
Dataflow-Aware PIM-Enabled Manycore Architecture for Deep Learning Workloads. CoRR abs/2403.19073 (2024) - [i18]Ovishake Sen, Chukwufumnanya Ogbogu, Peyman Dehghanzadeh, Janardhan Rao Doppa, Swarup Bhunia, Partha Pratim Pande, Baibhab Chatterjee:
Scalable and Programmable Look-Up Table based Neural Acceleration (LUT-NA) for Extreme Energy Efficiency. CoRR abs/2406.05282 (2024) - [i17]Pratyush Dhingra, Janardhan Rao Doppa, Partha Pratim Pande:
HeTraX: Energy Efficient 3D Heterogeneous Manycore Architecture for Transformer Acceleration. CoRR abs/2408.03397 (2024) - 2023
- [j103]Partha Pratim Pande:
Machine Learning for CAD/EDA. IEEE Des. Test 40(1): 4 (2023) - [j102]Partha Pratim Pande:
Special Issue on Testability and Dependability of Artificial Intelligence Hardware. IEEE Des. Test 40(2): 4 (2023) - [j101]Partha Pratim Pande:
Approximate Computing: Challenges, Methodologies, Algorithms, and Architectures for Dependable and Secure Systems. IEEE Des. Test 40(3): 4 (2023) - [j100]Partha Pratim Pande:
40th IEEE VLSI Test Symposium 2022. IEEE Des. Test 40(4): 4 (2023) - [j99]Partha Pratim Pande:
The 2022 Symposium on Integrated Circuits and Systems Design (SBCCI 2022). IEEE Des. Test 40(5): 4 (2023) - [j98]Partha Pratim Pande:
The 2023 Networks-on-Chip (NOCS) Symposium. IEEE Des. Test 40(6): 4 (2023) - [j97]Xiaoxuan Yang, Huanrui Yang, Janardhan Rao Doppa, Partha Pratim Pande, Krishnendu Chakrabarty, Hai Li:
ESSENCE: Exploiting Structured Stochastic Gradient Pruning for Endurance-Aware ReRAM-Based In-Memory Training Systems. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 42(7): 2187-2199 (2023) - [j96]Chukwufumnanya Ogbogu, Aqeeb Iqbal Arka, Lukas Pfromm, Biresh Kumar Joardar, Janardhan Rao Doppa, Krishnendu Chakrabarty, Partha Pratim Pande:
Accelerating Graph Neural Network Training on ReRAM-Based PIM Architectures via Graph and Model Pruning. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 42(8): 2703-2716 (2023) - [j95]Harsh Sharma, Lukas Pfromm, Rasit Onur Topaloglu, Janardhan Rao Doppa, Ümit Y. Ogras, Ananth Kalyanaraman, Partha Pratim Pande:
Florets for Chiplets: Data Flow-aware High-Performance and Energy-efficient Network-on-Interposer for CNN Inference Tasks. ACM Trans. Embed. Comput. Syst. 22(5s): 132:1-132:21 (2023) - [j94]Biresh Kumar Joardar, Janardhan Rao Doppa, Hai (Helen) Li, Krishnendu Chakrabarty, Partha Pratim Pande:
ReaLPrune: ReRAM Crossbar-Aware Lottery Ticket Pruning for CNNs. IEEE Trans. Emerg. Top. Comput. 11(2): 303-317 (2023) - [j93]Dwaipayan Choudhury, Lizhi Xiang, Aravind Sukumaran-Rajam, Anantharaman Kalyanaraman, Partha Pratim Pande:
Accelerating Graph Computations on 3D NoC-Enabled PIM Architectures. ACM Trans. Design Autom. Electr. Syst. 28(3): 30:1-30:16 (2023) - [j92]Gaurav Narang, Aryan Deshwal, Raid Ayoub, Michael Kishinevsky, Janardhan Rao Doppa, Partha Pratim Pande:
Dynamic Power Management in Large Manycore Systems: A Learning-to-Search Framework. ACM Trans. Design Autom. Electr. Syst. 28(5): 84:1-84:21 (2023) - [c108]Dwaipayan Choudhury, Ananth Kalyanaraman, Partha Pande:
GraphIte: Accelerating Iterative Graph Algorithms on ReRAM Architectures via Approximate Computing. DATE 2023: 1-6 - [c107]Harsh Sharma, Sumit K. Mandal, Janardhan Rao Doppa, Ümit Y. Ogras, Partha Pratim Pande:
Achieving Datacenter-scale Performance through Chiplet-based Manycore Architectures. DATE 2023: 1-6 - [c106]Chung-Hsuan Tung, Biresh Kumar Joardar, Partha Pratim Pande, Janardhan Rao Doppa, Hai Helen Li, Krishnendu Chakrabarty:
Dynamic Task Remapping for Reliable CNN Training on ReRAM Crossbars. DATE 2023: 1-6 - [c105]Ching-Yuan Chen, Biresh Kumar Joardar, Janardhan Rao Doppa, Partha Pratim Pande, Krishnendu Chakrabarty:
Attacking Memristor-Mapped Graph Neural Network by Inducing Slow-to-Write Errors. ETS 2023: 1-4 - [c104]Gaurav Narang, Raid Ayoub, Michael Kishinevsky, Janardhan Rao Doppa, Partha Pratim Pande:
Uncertainty-Aware Online Learning for Dynamic Power Management in Large Manycore Systems. ISLPED 2023: 1-6 - [c103]Chukwufumnanya Ogbogu, Madeleine Abernot, Corentin Delacour, Aida Todri-Sanial, Sudeep Pasricha, Partha Pratim Pande:
Energy-Efficient Machine Learning Acceleration: From Technologies to Circuits and Systems. ISLPED 2023: 1-8 - [c102]Chukwufumnanya Ogbogu, Soumen Mohapatra, Biresh Kumar Joardar, Janardhan Rao Doppa, Deuk Heo, Krishnendu Chakrabarty, Partha Pratim Pande:
Energy-Efficient ReRAM-Based ML Training via Mixed Pruning and Reconfigurable ADC. ISLPED 2023: 1-6 - [i16]Xueying Wu, Edward Hanson, Nansu Wang, Qilin Zheng, Xiaoxuan Yang, Huanrui Yang, Shiyu Li, Feng Cheng, Partha Pratim Pande, Janardhan Rao Doppa, Krishnendu Chakrabarty, Hai Li:
Block-Wise Mixed-Precision Quantization: Enabling High Efficiency for Practical ReRAM-based DNN Accelerators. CoRR abs/2310.12182 (2023) - [i15]Harsh Sharma, Pratyush Dhingra, Janardhan Rao Doppa, Ümit Y. Ogras, Partha Pratim Pande:
A Heterogeneous Chiplet Architecture for Accelerating End-to-End Transformer Models. CoRR abs/2312.11750 (2023) - 2022
- [j91]Partha Pratim Pande:
Special Issue on Near-Memory and In-Memory Processing. IEEE Des. Test 39(2): 4 (2022) - [j90]Partha Pratim Pande:
Special Issue on Benchmarking Machine Learning Systems and Applications. IEEE Des. Test 39(3): 4 (2022) - [j89]Partha Pratim Pande:
Special Issue on 2021 Top Picks in Hardware and Embedded Security. IEEE Des. Test 39(4): 4 (2022) - [j88]Partha Pratim Pande:
Special Issue on Design and Test of Multidie Packages. IEEE Des. Test 39(5): 4 (2022) - [j87]Partha Pratim Pande:
Special Issue on NOCS 2022. IEEE Des. Test 39(6): 4 (2022) - [j86]Dwaipayan Choudhury, Aravind Sukumaran-Rajam, Ananth Kalyanaraman, Partha Pratim Pande:
High-Performance and Energy-Efficient 3D Manycore GPU Architecture for Accelerating Graph Analytics. ACM J. Emerg. Technol. Comput. Syst. 18(1): 18:1-18:19 (2022) - [j85]Biresh Kumar Joardar, Aryan Deshwal, Janardhan Rao Doppa, Partha Pratim Pande, Krishnendu Chakrabarty:
High-Throughput Training of Deep CNNs on ReRAM-Based Heterogeneous Architectures via Optimized Normalization Layers. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 41(5): 1537-1549 (2022) - [j84]Chukwufumnanya Ogbogu, Aqeeb Iqbal Arka, Biresh Kumar Joardar, Janardhan Rao Doppa, Hai Helen Li, Krishnendu Chakrabarty, Partha Pratim Pande:
Accelerating Large-Scale Graph Neural Network Training on Crossbar Diet. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 41(11): 3626-3637 (2022) - [j83]Harsh Sharma, Sumit K. Mandal, Janardhan Rao Doppa, Ümit Y. Ogras, Partha Pratim Pande:
SWAP: A Server-Scale Communication-Aware Chiplet-Based Manycore PIM Accelerator. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 41(11): 4145-4156 (2022) - [j82]Zhiyuan Zhou, Nghia Tang, Bai Nguyen, Wookpyo Hong, Partha Pratim Pande, Ram K. Krishnamurthy, Deukhyoun Heo:
An Inductor-First Single-Inductor Multiple-Output Hybrid DC-DC Converter With Integrated Flying Capacitor for SoC Applications. IEEE Trans. Circuits Syst. I Regul. Pap. 69(12): 4823-4836 (2022) - [j81]Dwaipayan Choudhury, Reet Barik, Aravind Sukumaran-Rajam, Ananth Kalyanaraman, Partha Pratim Pande:
Software/Hardware Co-design of 3D NoC-based GPU Architectures for Accelerated Graph Computations. ACM Trans. Design Autom. Electr. Syst. 27(6): 61:1-61:22 (2022) - [c101]Biresh Kumar Joardar, Aqeeb Iqbal Arka, Janardhan Rao Doppa, Partha Pratim Pande:
Fault-Tolerant Deep Learning Using Regularization. ICCAD 2022: 159:1-159:6 - [c100]Partha Pratim Pande:
EDAML 2022 Invited Speaker 6: Reliable Processing-in-Memory based Manycore Architectures for Deep Learning: From CNNs to GNNs. IPDPS Workshops 2022: 1187 - [c99]Biresh Kumar Joardar, Janardhan Rao Doppa, Partha Pratim Pande, Krishnendu Chakrabarty:
NoC-enabled 3D Heterogeneous Manycore Systems for Big-Data Applications. ISQED 2022: 1-6 - 2021
- [j80]Anwesha Chatterjee, Shouvik Musavvir, Ryan Gary Kim, Janardhan Rao Doppa, Partha Pratim Pande:
Power Management of Monolithic 3D Manycore Chips with Inter-tier Process Variations. ACM J. Emerg. Technol. Comput. Syst. 17(2): 13:1-13:19 (2021) - [j79]Biresh Kumar Joardar, Janardhan Rao Doppa, Partha Pratim Pande, Hai Li, Krishnendu Chakrabarty:
AccuReD: High Accuracy Training of CNNs on ReRAM/GPU Heterogeneous 3-D Architecture. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 40(5): 971-984 (2021) - [j78]Biresh Kumar Joardar, Janardhan Rao Doppa, Hai Li, Krishnendu Chakrabarty, Partha Pratim Pande:
Learning to Train CNNs on Faulty ReRAM-based Manycore Accelerators. ACM Trans. Embed. Comput. Syst. 20(5s): 55:1-55:23 (2021) - [j77]Aqeeb Iqbal Arka, Biresh Kumar Joardar, Ryan Gary Kim, Dae Hyun Kim, Janardhan Rao Doppa, Partha Pratim Pande:
HeM3D: Heterogeneous Manycore Architecture Based on Monolithic 3D Vertical Integration. ACM Trans. Design Autom. Electr. Syst. 26(2): 16:1-16:21 (2021) - [j76]Aqeeb Iqbal Arka, Biresh Kumar Joardar, Janardhan Rao Doppa, Partha Pratim Pande, Krishnendu Chakrabarty:
Performance and Accuracy Tradeoffs for Training Graph Neural Networks on ReRAM-Based Architectures. IEEE Trans. Very Large Scale Integr. Syst. 29(10): 1743-1756 (2021) - [c98]Aryan Deshwal, Syrine Belakaria, Ganapati Bhat, Janardhan Rao Doppa, Partha Pratim Pande:
Learning Pareto-Frontier Resource Management Policies for Heterogeneous SoCs: An Information-Theoretic Approach. DAC 2021: 607-612 - [c97]Biresh Kumar Joardar, Aqeeb Iqbal Arka, Janardhan Rao Doppa, Partha Pratim Pande:
3D++: Unlocking the Next Generation of High-Performance and Energy-Efficient Architectures using M3D Integration. DATE 2021: 158-163 - [c96]Aqeeb Iqbal Arka, Janardhan Rao Doppa, Partha Pratim Pande, Biresh Kumar Joardar, Krishnendu Chakrabarty:
ReGraphX: NoC-enabled 3D Heterogeneous ReRAM Architecture for Training Graph Neural Networks. DATE 2021: 1667-1672 - [c95]Aqeeb Iqbal Arka, Biresh Kumar Joardar, Janardhan Rao Doppa, Partha Pratim Pande, Krishnendu Chakrabarty:
DARe: DropLayer-Aware Manycore ReRAM architecture for Training Graph Neural Networks. ICCAD 2021: 1-9 - [c94]Nitthilan Kannappan Jayakodi, Janardhan Rao Doppa, Partha Pratim Pande:
A General Hardware and Software Co-Design Framework for Energy-Efficient Edge AI. ICCAD 2021: 1-7 - [c93]Biresh Kumar Joardar, Aqeeb Iqbal Arka, Janardhan Rao Doppa, Partha Pratim Pande, Hai Li, Krishnendu Chakrabarty:
Heterogeneous Manycore Architectures Enabled by Processing-in-Memory for Deep Learning: From CNNs to GNNs: (ICCAD Special Session Paper). ICCAD 2021: 1-7 - [c92]Xiaoxuan Yang, Syrine Belakaria, Biresh Kumar Joardar, Huanrui Yang, Janardhan Rao Doppa, Partha Pratim Pande, Krishnendu Chakrabarty, Hai Helen Li:
Multi-Objective Optimization of ReRAM Crossbars for Robust DNN Inferencing under Stochastic Noise. ICCAD 2021: 1-9 - [i14]Aqeeb Iqbal Arka, Biresh Kumar Joardar, Janardhan Rao Doppa, Partha Pratim Pande, Krishnendu Chakrabarty:
ReGraphX: NoC-enabled 3D Heterogeneous ReRAM Architecture for Training Graph Neural Networks. CoRR abs/2102.07959 (2021) - [i13]Nitthilan Kannappan Jayakodi, Janardhan Rao Doppa, Partha Pratim Pande:
SETGAN: Scale and Energy Trade-off GANs for Image Applications on Mobile Platforms. CoRR abs/2103.12896 (2021) - [i12]Aryan Deshwal, Syrine Belakaria, Ganapati Bhat, Janardhan Rao Doppa, Partha Pratim Pande:
Learning Pareto-Frontier Resource Management Policies for Heterogeneous SoCs: An Information-Theoretic Approach. CoRR abs/2105.09282 (2021) - [i11]Xiaoxuan Yang, Syrine Belakaria, Biresh Kumar Joardar, Huanrui Yang, Janardhan Rao Doppa, Partha Pratim Pande, Krishnendu Chakrabarty, Hai Li:
Multi-Objective Optimization of ReRAM Crossbars for Robust DNN Inferencing under Stochastic Noise. CoRR abs/2109.05437 (2021) - [i10]Biresh Kumar Joardar, Janardhan Rao Doppa, Hai Li, Krishnendu Chakrabarty, Partha Pratim Pande:
ReaLPrune: ReRAM Crossbar-aware Lottery Ticket Pruned CNNs. CoRR abs/2111.09272 (2021) - 2020
- [j75]Bing Li, Janardhan Rao Doppa, Partha Pratim Pande, Krishnendu Chakrabarty, Joe X. Qiu, Hai (Helen) Li:
3D-ReG: A 3D ReRAM-based Heterogeneous Architecture for Training Deep Neural Networks. ACM J. Emerg. Technol. Comput. Syst. 16(2): 20:1-20:24 (2020) - [j74]Aqeeb Iqbal Arka, Srinivasan Gopal, Janardhan Rao Doppa, Deukhyoun Heo, Partha Pratim Pande:
Making a Case for Partially Connected 3D NoC: NFIC versus TSV. ACM J. Emerg. Technol. Comput. Syst. 16(4): 41:1-41:17 (2020) - [j73]Wookpyo Hong, Zhiyuan Zhou, Bai Nguyen, Nghia Tang, Jong-Hoon Kim, Partha Pratim Pande, Deukhyoun Heo:
Analysis and Design Method of Multiple-Output Switched-Capacitor Voltage Regulators With a Reduced Number of Power Electronic Components. IEEE Trans. Circuits Syst. I Regul. Pap. 67-I(9): 3234-3247 (2020) - [j72]Srinivasan Gopal, Sourav Das, Partha Pratim Pande, Deukhyoun Heo:
A Hybrid 3D Interconnect With 2x Bandwidth Density Employing Orthogonal Simultaneous Bidirectional Signaling for 3D NoC. IEEE Trans. Circuits Syst. 67-I(11): 3919-3932 (2020) - [j71]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) - [j70]Shouvik Musavvir, Anwesha Chatterjee, Ryan Gary Kim, Dae Hyun Kim, Partha Pratim Pande:
Inter-Tier Process-Variation-Aware Monolithic 3-D NoC Design Space Exploration. IEEE Trans. Very Large Scale Integr. Syst. 28(3): 686-699 (2020) - [c91]Zhiyuan Zhou, Nghia Tang, Bai Noi Nguyen, Wookpyo Hong, Partha Pratim Pande, Deukhyoun Heo:
A Wide Output Voltage Range Single-Input-Multi-Output Hybrid DC-DC Converter Achieving 87.5% Peak Efficiency With a Fast Response Time and Low Cross Regulation for DVFS Applications. CICC 2020: 1-4 - [c90]Nitthilan Kanappan Jayakodi, Janardhan Rao Doppa, Partha Pratim Pande:
PETNet: Polycount and Energy Trade-off Deep Networks for Producing 3D Objects from Images. DAC 2020: 1-6 - [c89]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. DAC 2020: 1-6 - [c88]Biresh Kumar Joardar, Nitthilan Kannappan Jayakodi, Janardhan Rao Doppa, Hai Li, Partha Pratim Pande, Krishnendu Chakrabarty:
GRAMARCH: A GPU-ReRAM based Heterogeneous Architecture for Neural Image Segmentation. DATE 2020: 228-233 - [c87]Zhiyuan Zhou, Syrine Belakaria, Aryan Deshwal, Wookpyo Hong, Janardhan Rao Doppa, Partha Pratim Pande, Deukhyoun Heo:
Design of Multi-Output Switched-Capacitor Voltage Regulator via Machine Learning. DATE 2020: 502-507 - [c86]Shouvik Musavvir, Anwesha Chatterjee, Ryan Gary Kim, Dae Hyun Kim, Janardhan Rao Doppa, Partha Pratim Pande:
Power, Performance, and Thermal Trade-offs in M3D-enabled Manycore Chips. DATE 2020: 1752-1757 - [c85]Nitthilan Kanappan Jayakodi, Janardhan Rao Doppa, Partha Pratim Pande:
SETGAN: Scale and Energy Trade-off GANs for Image Applications on Mobile Platforms. ICCAD 2020: 23:1-23:9 - [i9]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) - [i8]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) - [i7]Aqeeb Iqbal Arka, Biresh Kumar Joardar, Ryan Gary Kim, Dae Hyun Kim, Janardhan Rao Doppa, Partha Pratim Pande:
HeM3D: Heterogeneous Manycore Architecture Based on Monolithic 3D Vertical Integration. CoRR abs/2012.00102 (2020)
2010 – 2019
- 2019
- [j69]Dongjin Lee, Sourav Das, Partha Pratim Pande:
Analyzing power-thermal-performance trade-offs in a high-performance 3D NoC architecture. Integr. 65: 282-292 (2019) - [j68]Biresh Kumar Joardar, Ryan Gary Kim, Janardhan Rao Doppa, Partha Pratim Pande, Diana Marculescu, Radu Marculescu:
Learning-Based Application-Agnostic 3D NoC Design for Heterogeneous Manycore Systems. IEEE Trans. Computers 68(6): 852-866 (2019) - [j67]Aryan Deshwal, Nitthilan Kannappan Jayakodi, Biresh Kumar Joardar, Janardhan Rao Doppa, Partha Pratim Pande:
MOOS: A Multi-Objective Design Space Exploration and Optimization Framework for NoC Enabled Manycore Systems. ACM Trans. Embed. Comput. Syst. 18(5s): 77:1-77:23 (2019) - [j66]Dongjin Lee, Sourav Das, Janardhan Rao Doppa, Partha Pratim Pande, Krishnendu Chakrabarty:
Impact of Electrostatic Coupling on Monolithic 3D-enabled Network on Chip. ACM Trans. Design Autom. Electr. Syst. 24(6): 62:1-62:22 (2019) - [j65]Massimo Alioto, Magdy S. Abadir, Tughrul Arslan, Chirn Chye Boon, Andreas Burg, Chip-Hong Chang, Meng-Fan Chang, Yao-Wen Chang, Poki Chen, Pasquale Corsonello, Paolo Crovetti, Shiro Dosho, Rolf Drechsler, Ibrahim Abe M. Elfadel, Ruonan Han, Masanori Hashimoto, Chun-Huat Heng, Deukhyoun Heo, Tsung-Yi Ho, Houman Homayoun, Yuh-Shyan Hwang, Ajay Joshi, Rajiv V. Joshi, Tanay Karnik, Chulwoo Kim, Tony Tae-Hyoung Kim, Jaydeep Kulkarni, Volkan Kursun, Yoonmyung Lee, Hai Helen Li, Huawei Li, Prabhat Mishra, Baker Mohammad, Mehran Mozaffari Kermani, Makoto Nagata, Koji Nii, Partha Pratim Pande, Bipul C. Paul, Vasilis F. Pavlidis, José Pineda de Gyvez, Ioannis Savidis, Patrick Schaumont, Fabio Sebastiano, Anirban Sengupta, Mingoo Seok, Mircea R. Stan, Mark M. Tehranipoor, Aida Todri-Sanial, Marian Verhelst, Valerio Vignoli, Xiaoqing Wen, Jiang Xu, Wei Zhang, Zhengya Zhang, Jun Zhou, Mark Zwolinski, Stacey Weber:
Editorial TVLSI Positioning - Continuing and Accelerating an Upward Trajectory. IEEE Trans. Very Large Scale Integr. Syst. 27(2): 253-280 (2019) - [j64]Sumit K. Mandal, Ganapati Bhat, Chetan Arvind Patil, Janardhan Rao Doppa, Partha Pratim Pande, Ümit Y. Ogras:
Dynamic Resource Management of Heterogeneous Mobile Platforms via Imitation Learning. IEEE Trans. Very Large Scale Integr. Syst. 27(12): 2842-2854 (2019) - [j63]Wookpyo Hong, Bai Nguyen, Zhiyuan Zhou, Nghia Tang, Jong-Hoon Kim, Partha Pratim Pande, Deukhyoun Heo:
A Dual-Output Step-Down Switched-Capacitor Voltage Regulator With a Flying Capacitor Crossing Technique for Enhanced Power Efficiency. IEEE Trans. Very Large Scale Integr. Syst. 27(12): 2861-2871 (2019) - [c84]Biresh Kumar Joardar, Ryan Gary Kim, Janardhan Rao Doppa, Partha Pratim Pande:
Design and Optimization of Heterogeneous Manycore Systems Enabled by Emerging Interconnect Technologies: Promises and Challenges. DATE 2019: 138-143 - [c83]Biresh Kumar Joardar, Bing Li, Janardhan Rao Doppa, Hai Li, Partha Pratim Pande, Krishnendu Chakrabarty:
REGENT: A Heterogeneous ReRAM/GPU-based Architecture Enabled by NoC for Training CNNs. DATE 2019: 522-527 - [c82]Ananth Kalyanaraman, Partha Pratim Pande:
A Brief Survey of Algorithms, Architectures, and Challenges toward Extreme-scale Graph Analytics. DATE 2019: 1307-1312 - [c81]Biresh Kumar Joardar, Priyanka Ghosh, Partha Pratim Pande, Ananth Kalyanaraman, Sriram Krishnamoorthy:
NoC-enabled software/hardware co-design framework for accelerating k-mer counting. NOCS 2019: 4:1-4:8 - [i6]Nitthilan Kannappan Jayakodi, Anwesha Chatterjee, Wonje Choi, Janardhan Rao Doppa, Partha Pratim Pande:
Trading-off Accuracy and Energy of Deep Inference on Embedded Systems: A Co-Design Approach. CoRR abs/1901.10584 (2019) - [i5]Shouvik Musavvir, Anwesha Chatterjee, Ryan Gary Kim, Dae Hyun Kim, Partha Pratim Pande:
Inter-Tier Process Variation-Aware Monolithic 3D NoC Architectures. CoRR abs/1906.04293 (2019) - 2018
- [j62]Ryan Gary Kim, Janardhan Rao Doppa, Partha Pratim Pande, Diana Marculescu, Radu Marculescu:
Machine Learning and Manycore Systems Design: A Serendipitous Symbiosis. Computer 51(7): 66-77 (2018) - [j61]Srinivasan Gopal, Pawan Agarwal, Joe Baylon, Luke Renaud, Sheikh Nijam Ali, Partha Pratim Pande, Deukhyoun Heo:
A Spatial Multi-Bit Sub-1-V Time-Domain Matrix Multiplier Interface for Approximate Computing in 65-nm CMOS. IEEE J. Emerg. Sel. Topics Circuits Syst. 8(3): 506-518 (2018) - [j60]Dongjin Lee, Sourav Das, Dae Hyun Kim, Janardhan Rao Doppa, Partha Pratim Pande:
Design Space Exploration of 3D Network-on-Chip: A Sensitivity-based Optimization Approach. ACM J. Emerg. Technol. Comput. Syst. 14(3): 32:1-32:26 (2018) - [j59]Wonje Choi, Karthi Duraisamy, Ryan Gary Kim, Janardhan Rao Doppa, Partha Pratim Pande, Diana Marculescu, Radu Marculescu:
On-Chip Communication Network for Efficient Training of Deep Convolutional Networks on Heterogeneous Manycore Systems. IEEE Trans. Computers 67(5): 672-686 (2018) - [j58]Nitthilan Kannappan Jayakodi, Anwesha Chatterjee, Wonje Choi, Janardhan Rao Doppa, Partha Pratim Pande:
Trading-Off Accuracy and Energy of Deep Inference on Embedded Systems: A Co-Design Approach. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 37(11): 2881-2893 (2018) - [j57]Dongjin Lee, Sourav Das, Janardhan Rao Doppa, Partha Pratim Pande, Krishnendu Chakrabarty:
Performance and Thermal Tradeoffs for Energy-Efficient Monolithic 3D Network-on-Chip. ACM Trans. Design Autom. Electr. Syst. 23(5): 60:1-60:25 (2018) - [j56]Pawan Agarwal, Jong-Hoon Kim, Partha Pratim Pande, Deukhyoun Heo:
Zero-Power Feed-Forward Spur Cancelation for Supply-Regulated CMOS Ring PLLs. IEEE Trans. Very Large Scale Integr. Syst. 26(4): 653-662 (2018) - [j55]Xian Li, Karthi Duraisamy, Paul Bogdan, Janardhan Rao Doppa, Partha Pratim Pande:
Scalable Network-on-Chip Architectures for Brain-Machine Interface Applications. IEEE Trans. Very Large Scale Integr. Syst. 26(10): 1895-1907 (2018) - [j54]Joe Baylon, Xinmin Yu, Srinivasan Gopal, Reza Molavi, Shahriar Mirabbasi, Partha Pratim Pande, Deukhyoun Heo:
A 16-Gb/s Low-Power Inductorless Wideband Gain-Boosted Baseband Amplifier With Skewed Differential Topology for Wireless Network-on-Chip. IEEE Trans. Very Large Scale Integr. Syst. 26(11): 2406-2418 (2018) - [j53]Srinivasan Gopal, Sourav Das, Pawan Agarwal, Sheikh Nijam Ali, Deukhyoun Heo, Partha Pratim Pande:
High-Performance and Small-Form Factor Near-Field Inductive Coupling for 3-D NoC. IEEE Trans. Very Large Scale Integr. Syst. 26(12): 2921-2934 (2018) - [c80]Biresh Kumar Joardar, Karthi Duraisamy, Partha Pratim Pande:
High performance collective communication-aware 3D Network-on-Chip architectures. DATE 2018: 1351-1356 - [c79]Ryan Gary Kim, Janardhan Rao Doppa, Partha Pratim Pande:
Machine learning for design space exploration and optimization of manycore systems. ICCAD 2018: 48 - [c78]