15. NEWRobust Hopfield Decision Transformer

Authors: A. Podasca and A. Das

ConferenceConference on Neural Information Processing Systems (NeurIPS) (to appear)

14. NEWAgatha: Gated Hopfield Attention for Adversarially Robust Natural Language Processing

Authors: A. Podasca and A. Das

ConferenceConference on Empirical Methods in Natural Language Processing (EMNLP) (to appear)

GitHub: Agatha

13. Robertha: Eigenspectrum Regularized Attention for Robust Natural Language Understanding

Authors: A. Podasca and A. Das

ConferenceAnnual Meeting of the Association for Computational Linguistics (ACL)

12. Sparse Compressed Quantized Dataflow Architecture (QUDA) for Neuromorphic Computing

Authors: S. Matinizadeh and A. Das

ConferenceIEEE International Symposium on Field-Programmable Custom Computing Machines (FCCM)

11. Neuromorphic Computing for Autonomous Scientific Workflows: Real-Time Material Characterization at the Edge

Authors: L. V. Mirtinti, J. D. Hollenbach, A. Limaye, N. Bohm Agostini, M. Ramstad, V. G. Castellana, J. Manzano, A. Das, M. L. Taheri, and A. Tumeo

JournalIEEE Computer Magazine

10. Efficient Aspect Term Extraction Using Spiking Neural Network

Authors: A. K. Mishra, A. Somasundaram, A. Das, and N. Kandasamy

JournalNeuromorphic Computing and Engineering

9. Spike-Based Neuromorphic Computing: An Overview from Bio-Inspiration to Hardware Architectures and Learning Mechanisms

Authors: A. Gebregiorgis, A. Yousefzadeh, S. Eissa, M. A. Siddiqi, C. Frenkel, F. Zenke, S. Bohte, A. N. Mahmoud, A. Das, S. Hamdioui, H. Corporaal, and F. Corradi

JournalMicroprocessors and Microsystems

8. Wafer Map Pattern Recognition Using Ternary Spiking Neural Networks

Authors: A. K. Mishra, A. Das, and N. Kandasamy

JournalMicroprocessors and Microsystems

7. SwapGraph: Biologically Plausible Shortest Path Planning on Real-World Graphs

Authors: P. Das and A. Das

ConferenceInternational Joint Conference on Neural Networks (IJCNN)

Best Paper Candidate.

6. Improving Performance of Spike-Based Deep Q-Learning Using Ternary Neurons

Authors: A. Ghoreishee, A. K. Mishra, J. M. Walsh, A. Das, and N. Kandasamy

ConferenceInternational Conference on Neuromorphic Systems (ICONS)

5. Fuzzy Encoding-Decoding to Improve Spiking Q-Learning Performance in Autonomous Driving

Authors: A. Ghoreishee, A. K. Mishra, L. Zhou, J. M. Walsh, A. Das, and N. Kandasamy

ConferenceNeuro-Inspired Computational Elements Conference (NICE)

4. Selective Hardening of Digital Spiking Neuromorphic Systems

Authors: S. Kumar, S. Johari, A. K. Mishra, A. Das, and N. Kandasamy

ConferenceIEEE International Symposium on Defect and Fault Tolerance in VLSI and Nanotechnology Systems (DFT)

3. Design and Optimization of Sparse Neuromorphic Systems

Authors: S. Matinizadeh and A. Das

Book ChapterHandbook of Embedded Machine Learning: Cyber-Physical, IoT, and Edge Computing, Springer

2. Signal and Information Processing Using Spikes: From Biological Foundations to Learning Algorithms

Authors: A. Das, A. Podasca, and S. Matinizadeh

Book ChapterHandbook of Signal Processing Systems, Springer

1. Implementing Spike-Based Signal Processing Systems: Hardware-Software Co-Design and Deployment

Authors: A. Das and S. Matinizadeh

Book ChapterHandbook of Signal Processing Systems, Springer

10. Weighted Hypoxemia Index: An Adaptable Method for Quantifying Hypoxemia Severity

Authors: D. C. Lim, C. B. Chen, A. Paul, Y. Wang, J. Kim, S. Yook, E. Y. Kim, E. Q. Kim, A. Das, M. Wangpaichitr, V. K. Somers, C. H. Lee, P. C. Zee, T. Imamura, and H. Kim

JournalPLOS One

9. Optimizing Memory Latency and Bandwidth of Spiking Neural Network Accelerators on FPGA via Sparse Hashing

Authors: S. Matinizadeh, M. L. Varshika, and A. Das

ConferenceIEEE/ACM International Conference on Computer-Aided Design (ICCAD)

8. Analyzing the Robustness of Neuromorphic Computing in the Presence of Variability in Non-Volatile Memory

Authors: A. Podasca and A. Das

ConferenceIEEE/ACM International Conference on Computer-Aided Design (ICCAD)

7. Neuromorphic Architectures for Scientific Computing: A Structural Characterization Case Study

Authors: M. L. Varshika, J. Hollenbach, N. B. Agostini, A. Limaye, M. Minutoli, V. G. Castellana, J. B. Manzano, A. Das, M. Taheri, and A. Tumeo

ConferenceIEEE/ACM International Conference on Computer-Aided Design (ICCAD)

6. Hierarchical Model-Based Approach for Concurrent Testing of Neuromorphic Architecture

Authors: S. Kumar, A. K. Mishra, A. Das, and N. Kandasamy

ConferenceIEEE/IFIP International Conference on Dependable Systems and Networks (DSN)

5. A Framework for Automatic Synthesis of Neuromorphic Architectures with Heterogeneous Integration of CMOS and Memristors

Authors: S. Johari, A. Mohammadhassani, and A. Das

ConferenceIEEE International Symposium on Circuits and Systems (ISCAS)

4. Improving Scalability of NoC-Based Neuromorphic Hardware with Compressed AER (C-AER) Protocol

Authors: A. Mohammadhassani, S. Johari, K. Tishbi, and A. Das

ConferenceIEEE International Symposium on Circuits and Systems (ISCAS)

3. A Digital Neuromorphic Architecture for Unsupervised Shortest Path Computation on Real-World Graphs

Authors: A. Mohammadhassani, S. Matinizadeh, M. L. Varshika, and A. Das

ConferenceIEEE International Symposium on Circuits and Systems (ISCAS)

2. Exploring Dendritic Computation in Bio-Inspired Architectures for Dynamic Programming

Author: A. Das

ConferenceDesign, Automation and Test in Europe Conference (DATE)

1. Online Learning for Dynamic Structural Characterization in Electron Energy Loss Spectroscopy

Authors: M. L. Varshika, J. Hollenbach, N. B. Agostini, A. Limaye, A. Tumeo, and A. Das

ConferenceDesign, Automation and Test in Europe Conference (DATE)

17. A Scalable Dynamic Segmented Bus Interconnect for Neuromorphic Architectures

Authors: P. K. Huynh, I. Mustafazade, F. Catthoor, N. Kandasamy, and A. Das

JournalIEEE Embedded Systems Letters (ESL)

16. Neuromorphic Computing for Graph Analytics

Author: A. Das

ConferenceIEEE/ACM International Conference on Computer-Aided Design (ICCAD)

15. QUANTISENC++: A Fully-Configurable Many-Core Neuromorphic Hardware

Authors: S. Matinizadeh, A. Mohammadhassani, M. L. Varshika, S. Johari, N. Kandasamy, and A. Das

ConferenceAsilomar Conference on Signals, Systems, and Computers (ACSSC)

14. Towards Biology-Inspired Fault Tolerance of Neuromorphic Hardware for Space Applications

Authors: S. Matinizadeh, S. Johari, A. Mohammadhassani, and A. Das

ConferenceIEEE International Symposium on Defect and Fault Tolerance in VLSI and Nanotechnology Systems (DFT)

Best Paper Candidate.

13. Model-Based Approach Towards Correctness Checking of Neuromorphic Computing Systems

Authors: A. K. Mishra, A. Das, and N. Kandasamy

ConferenceIEEE Pacific Rim International Symposium on Dependable Computing (PRDC)

12. Efficient Built-In Self-Test Strategy for Neuromorphic Hardware Based on Alarm Placement

Authors: I. Mustafazade, A. Das, and N. Kandasamy

ConferenceIEEE Pacific Rim International Symposium on Dependable Computing (PRDC)

11. Neuromorphic Computing for the Masses

Authors: S. Matinizadeh, A. Mohammadhassani, N. Pacik-Nelson, I. Polykretis, K. Tishbi, S. Kumar, M. L. Varshika, A. K. Mishra, N. Kandasamy, J. A. Shackleford, E. M. Gallo, and A. Das

ConferenceInternational Conference on Neuromorphic Systems (ICONS)

GitHub: SOftware-defined NeuromorphIC (SONIC)

10. Model-Based Approach for Concurrent Testing of Neuromorphic Architecture

Authors: S. Kumar, A. K. Mishra, A. Das, and N. Kandasamy

ConferenceIEEE International Workshop on Silicon Lifecycle Management (SLM)

9. Wafer2Spike: Spiking Neural Network for Wafer Map Pattern Classification

Authors: A. K. Mishra, S. Kumar, A. N. Lingamoorthy, A. Das, and N. Kandasamy

ConferenceIEEE International Test Conference (ITC)

8. Clustering and Allocation of Spiking Neural Networks on Crossbar-Based Neuromorphic Architecture

Authors: I. Mustafazade, N. Kandasamy, and A. Das

ConferenceACM International Conference on Computing Frontiers (CF)

Best Paper Award.

7. An Open-Source and Extensible Framework for Fast Prototyping and Benchmarking of Spiking Neural Network Hardware

Authors: S. Matinizadeh and A. Das

ConferenceInternational Conference on Field-Programmable Logic and Applications (FPL)

GitHub: {PRO}totyping and benchmarking of S{N}N hardware using {TO}rch-based machine learning dialects (PRONTO)

6. Sparsity Aware Learning in Feedback-Driven Differential Recurrent Neural Networks

Authors: A. Paul and A. Das

ConferenceInternational Conference on Artificial Neural Networks (ICANN)

5. Learning in Recurrent Spiking Neural Networks with Sparse Full-FORCE Training

Authors: A. Paul and A. Das

ConferenceInternational Conference on Artificial Neural Networks (ICANN)

4. Data Driven Learning of Aperiodic Nonlinear Dynamic Systems Using Spike Based Reservoirs-in-Reservoir

Authors: A. Paul, N. Kandasamy, K. R. Dandekar, and A. Das

ConferenceInternational Joint Conference on Neural Networks (IJCNN)

3. CMOS-Memristor Hybrid Design of a Neuromorphic Crossbar Array with Integrated Inference and Training

Authors: S. Johari, A. Mohammadhassani, M. L. Varshika, and A. Das

ConferenceIEEE International Midwest Symposium on Circuits and Systems (MWSCAS)

2. A Fully-Configurable Digital Spiking Neuromorphic Hardware Design with Variable Quantization and Mixed Precision

Authors: S. Matinizadeh, A. Mohammadhassani, N. Pacik-Nelson, I. Polykretis, A. K. Mishra, J. A. Shackleford, N. Kandasamy, E. M. Gallo, and A. Das

ConferenceIEEE International Midwest Symposium on Circuits and Systems (MWSCAS)

GitHub: A (quanti)zed (s)pike-(e)nabled (n)eural (c)ore design (QUANTISENC)

1. WaferCap: Open Classification of Wafer Map Patterns Using Deep Capsule Network

Authors: A. K. Mishra, M. E. Shaik, A. N. Lingamoorthy, S. Kumar, A. Das, N. Kandasamy, and N. A. Touba

ConferenceIEEE VLSI Test Symposium (VTS)

11. A Design Flow for Scheduling Spiking Deep Convolutional Neural Networks on Heterogeneous Neuromorphic System-on-Chip

Author: A. Das

JournalACM Transactions on Embedded Computing Systems (TECS)

10. Screening for Obstructive Sleep Apnea in Patients with Cancer — A Machine Learning Approach

Authors: K. A. Wong, A. Paul, P. Fuentes, D. C. Lim, A. Das, and M. Tan

JournalSLEEP Advances

9. On the Mitigation of Read Disturbances in Neuromorphic Inference Hardware

Authors: A. Paul, S. Song, T. Titirsha, and A. Das

JournalIEEE Design & Test

8. ACM TECS Special Issue on Embedded System Security Tutorials

Authors: A. Shrivastava, J.-J. Chen, A. Kumar, and A. Das

JournalACM Transactions on Embedded Computing Systems (TECS)

7. NeuSB: A Scalable Interconnect Architecture for Spiking Neuromorphic Hardware

Authors: A. Balaji, P. K. Huynh, F. Catthoor, N. D. Dutt, J. L. Krichmar, and A. Das

JournalIEEE Transactions on Emerging Topics in Computing (TETC)

6. FPGA Implementation of OTFS Modulation for 6G Communication Systems

Authors: M. Isik, M. Nkomo, A. Das, and K. R. Dandekar

ConferenceIEEE Future Networks World Forum (FNWF)

5. Hardware-Software Co-Design for On-Chip Learning in AI Systems

Authors: M. L. Varshika, A. K. Mishra, N. Kandasamy, and A. Das

ConferenceAsia and South Pacific Design Automation Conference (ASP-DAC)

4. Preserving Privacy of Neuromorphic Hardware from PCIe Congestion Side-Channel Attack

Author: A. Das

ConferenceIEEE Annual Computers, Software, and Applications Conference (COMPSAC)

3. Online Performance Monitoring of Neuromorphic Computing Systems

Authors: A. K. Mishra, A. Das, and N. Kandasamy

ConferenceIEEE European Test Symposium (ETS)

2. Design of a Tunable Astrocyte Neuromorphic Circuitry with Adaptable Fault Tolerance

Authors: M. L. Varshika, S. Johari, J. Dubey, and A. Das

ConferenceIEEE International Midwest Symposium on Circuits and Systems (MWSCAS)

Best Paper Candidate.

1. Improving Performance of Network-on-Memory Architectures via (De-)/Compression-in-DRAM

Authors: A. Mohammadhassani and A. Das

ConferenceACM International Workshop on System-Level Interconnect Pathfinding (SLIP)

14. DFSynthesizer: Dataflow-Based Synthesis of Spiking Neural Networks to Neuromorphic Hardware

Authors: S. Song, H. Chong, A. Balaji, A. Das, J. A. Shackleford, and N. Kandasamy

JournalACM Transactions on Embedded Computing Systems (TECS)

13. Design-Technology Co-Optimization for NVM-Based Neuromorphic Processing Elements

Authors: S. Song, A. Balaji, A. Das, and N. Kandasamy

JournalACM Transactions on Embedded Computing Systems (TECS)

12. Endurance-Aware Mapping of Spiking Neural Networks to Neuromorphic Hardware

Authors: T. Titirsha, S. Song, A. Das, J. L. Krichmar, N. D. Dutt, N. Kandasamy, and F. Catthoor

JournalIEEE Transactions on Parallel and Distributed Systems (TPDS)

11. Nonvolatile Memories in Spiking Neural Network Architectures: Current and Emerging Trends

Authors: M. L. Varshika, F. Corradi, and A. Das

JournalElectronics

10. Energy-Efficient Respiratory Anomaly Detection in Premature Newborn Infants

Authors: A. Paul, M. A. S. Tajin, A. Das, W. M. Mongan, and K. R. Dandekar

JournalElectronics

9. Built-In Functional Testing of Analog In-Memory Accelerators for Deep Neural Networks

Authors: A. K. Mishra, A. Das, and N. Kandasamy

JournalElectronics

8. A Design Methodology for Fault-Tolerant Computing Using Astrocyte Neural Networks

Authors: M. Isik, A. Paul, M. L. Varshika, and A. Das

ConferenceACM International Conference on Computing Frontiers (CF)

7. Design of Many-Core Big Little μBrains for Energy-Efficient Embedded Neuromorphic Computing

Authors: M. L. Varshika, A. Balaji, F. Corradi, A. Das, J. Stuijt, and F. Catthoor

ConferenceDesign, Automation and Test in Europe Conference (DATE)

6. Multiscale Voxel Based Decoding for Enhanced Natural Image Reconstruction from Brain Activity

Authors: M. Halac, M. Isik, H. Ayaz, and A. Das

ConferenceInternational Joint Conference on Neural Networks (IJCNN)

5. CARLsim 6: An Open Source Library for Large-Scale, Biologically Detailed Spiking Neural Network Simulation

Authors: L. Niedermeier, K. Chen, J. Xing, A. Das, J. Kopsick, E. Scott, N. Sutton, K. Weber, N. D. Dutt, and J. L. Krichmar

ConferenceInternational Joint Conference on Neural Networks (IJCNN)

4. Learning in Feedback-Driven Recurrent Spiking Neural Networks Using Full-FORCE Training

Authors: A. Paul, S. Wagner, and A. Das

ConferenceInternational Joint Conference on Neural Networks (IJCNN)

GitHub: GitHub Code

3. Real-Time Scheduling of Machine Learning Operations on Heterogeneous Neuromorphic SoC

Author: A. Das

ConferenceACM-IEEE International Conference on Formal Methods and Models for System Design (MEMOCODE)

GitHub: GitHub Code

2. Platform-Based Design of Embedded Neuromorphic Systems

Authors: M. L. Varshika and A. Das

Book ChapterEmbedded Machine Learning for Cyber-Physical, IoT, and Edge Computing, Springer

1. Fault Tolerant Architectures

Authors: S. Sahoo, A. Das, and A. Kumar

Book ChapterHandbook of Computer Architecture, Springer

12. Enabling Resource-Aware Mapping of Spiking Neural Networks via Spatial Decomposition

Authors: A. Balaji, S. Song, A. Das, J. L. Krichmar, N. D. Dutt, J. A. Shackleford, N. Kandasamy, and F. Catthoor

JournalIEEE Embedded Systems Letters (ESL)

11. STOP-Bang Score and History of Radiation Predicts Risk of Obstructive Sleep Apnea in Cancer Patients: A Machine Learning Study

Authors: A. Paul, K. Wong, A. Das, D. Lim, and M. Tan

JournalSLEEP

10. Dynamic Reliability Management in Neuromorphic Computing

Authors: S. Song, J. Hanamshet, A. Balaji, A. Das, J. L. Krichmar, N. D. Dutt, N. Kandasamy, and F. Catthoor

JournalACM Journal on Emerging Technologies in Computing Systems (JETC)

9. Improving Inference Lifetime of Neuromorphic Systems via Intelligent Synapse Mapping

Authors: S. Song, T. Titirsha, and A. Das

ConferenceIEEE International Conference on Application-Specific Systems, Architectures and Processors (ASAP)

8. Aging-Aware Request Scheduling for Non-Volatile Main Memory

Authors: S. Song, A. Das, O. Mutlu, and N. Kandasamy

ConferenceAsia and South Pacific Design Automation Conference (ASP-DAC)

7. On the Role of System Software in Energy Management of Neuromorphic Computing

Authors: T. Titirsha, S. Song, A. Balaji, and A. Das

ConferenceACM International Conference on Computing Frontiers (CF)

6. Design Technology Co-Optimization for Neuromorphic Computing

Authors: A. Paul, S. Song, and A. Das

ConferenceInternational Green and Sustainable Computing Workshops (IGSC)

5. Automated Generation of Integrated Digital and Spiking Neuromorphic Machine Learning Accelerators

Authors: S. Curzel, N. B. Agostini, S. Song, I. Dagli, A. Limaye, C. Tan, M. Minutoli, V. G. Castellana, V. Amatya, J. B. Manzano, A. Das, F. Ferrandi, and A. Tumeo

ConferenceIEEE/ACM International Conference on Computer-Aided Design (ICCAD)

4. A Design Flow for Mapping Spiking Neural Networks to Many-Core Neuromorphic Hardware

Authors: S. Song, M. L. Varshika, A. Das, and N. Kandasamy

ConferenceIEEE/ACM International Conference on Computer-Aided Design (ICCAD)

3. NeuroXplorer 1.0: An Extensible Framework for Architectural Exploration with Spiking Neural Networks

Authors: A. Balaji, S. Song, T. Titirsha, A. Das, J. L. Krichmar, N. D. Dutt, J. A. Shackleford, N. Kandasamy, and F. Catthoor

ConferenceInternational Conference on Neuromorphic Systems (ICONS)

2. Special Session: Reliability Analysis for AI/ML Hardware

Authors: S. Kundu, K. Basu, M. Sadi, T. Titirsha, S. Song, A. Das, and U. Guin

ConferenceIEEE VLSI Test Symposium (VTS)

1. Restriction Synthesis and DNA Restriction Site Analysis Using Machine Learning

Authors: E. Moyer and A. Das

Book ChapterSpringer

13. Mapping Spiking Neural Networks to Neuromorphic Hardware

Authors: A. Balaji, F. Catthoor, A. Das, Y. Wu, K. Huynh, F. Dell'Anna, G. Indiveri, J. L. Krichmar, N. D. Dutt, and S. Schaafsma

JournalIEEE Transactions on Very Large Scale Integration (VLSI) Systems

12. Run-Time Mapping of Spiking Neural Networks to Neuromorphic Hardware

Authors: A. Balaji, T. Marty, A. Das, and F. Catthoor

JournalJournal of Signal Processing Systems

11. Improving Dependability of Neuromorphic Computing with Non-Volatile Memory

Authors: S. Song, A. Das, and N. Kandasamy

ConferenceEuropean Dependable Computing Conference (EDCC)

10. Compiling Spiking Neural Networks to Mitigate Neuromorphic Hardware Constraints

Authors: A. Balaji and A. Das

ConferenceInternational Green and Sustainable Computing Workshops (IGSC)

9. Design Methodologies for Reliable and Energy-Efficient PCM Systems

Authors: S. Song and A. Das

ConferenceInternational Green and Sustainable Computing Workshops (IGSC)

8. Reliability-Performance Trade-Offs in Neuromorphic Computing

Authors: T. Titirsha and A. Das

ConferenceInternational Green and Sustainable Computing Workshops (IGSC)

7. PyCARL: A PyNN Interface for Hardware-Software Co-Simulation of Spiking Neural Network

Authors: A. Balaji, P. Adiraju, H. J. Kashyap, A. Das, J. L. Krichmar, N. D. Dutt, and F. Catthoor

ConferenceInternational Joint Conference on Neural Networks (IJCNN)

6. Improving Phase Change Memory Performance with Data Content Aware Access

Authors: S. Song, A. Das, O. Mutlu, and N. Kandasamy

ConferenceACM SIGPLAN International Symposium on Memory Management (ISMM)

5. Exploiting Inter- and Intra-Memory Asymmetries for Data Mapping in Hybrid Tiered-Memories

Authors: S. Song, A. Das, and N. Kandasamy

ConferenceACM SIGPLAN International Symposium on Memory Management (ISMM)

4. Thermal-Aware Compilation of Spiking Neural Networks to Neuromorphic Hardware

Authors: T. Titirsha and A. Das

ConferenceInternational Workshop on Languages and Compilers for Parallel Computing (LCPC)

3. Compiling Spiking Neural Networks to Neuromorphic Hardware

Authors: S. Song, A. Balaji, A. Das, N. Kandasamy, and J. A. Shackleford

ConferenceACM SIGPLAN/SIGBED International Conference on Languages, Compilers, and Tools for Embedded Systems (LCTES)

2. A Case for Lifetime Reliability-Aware Neuromorphic Computing

Authors: S. Song and A. Das

ConferenceIEEE International Midwest Symposium on Circuits and Systems (MWSCAS)

1. Estimating the Respiratory Rate from ECG and PPG Using Machine Learning Techniques

Authors: W. Tan and A. Das

Book ChapterMachine Learning, Big Data and IoT for Medical Informatics, Elsevier

6. A Framework to Explore Workload-Specific Performance and Lifetime Trade-Offs in Neuromorphic Computing

Authors: A. Balaji, S. Song, A. Das, N. D. Dutt, J. Krichmar, N. Kandasamy, and F. Catthoor

JournalIEEE Computer Architecture Letters (CAL)

5. Enabling and Exploiting Partition-Level Parallelism (PALP) in Phase Change Memories

Authors: S. Song, A. Das, O. Mutlu, and N. Kandasamy

JournalACM Transactions on Embedded Computing Systems (TECS)

4. Design Methodology for Embedded Approximate Artificial Neural Networks

Authors: A. Balaji, S. Ullah, A. Das, and A. Kumar

ConferenceACM Great Lakes Symposium on VLSI (GLSVLSI)

3. Exploration of Segmented Bus as Scalable Global Interconnect for Neuromorphic Computing

Authors: A. Balaji, Y. Wu, A. Das, F. Catthoor, and S. Schaafsma

ConferenceACM Great Lakes Symposium on VLSI (GLSVLSI)

2. A Framework for the Analysis of Throughput-Constraints of SNNs on Neuromorphic Hardware

Authors: A. Balaji and A. Das

ConferenceIEEE Computer Society Annual Symposium on VLSI (ISVLSI)

1. Runtime Thermal Management of Many-Core Systems

Authors: A. Das and A. Kumar

Book ChapterMany-Core Computing: Hardware and Software, IET

10. Power-Accuracy Trade-Offs for Heartbeat Classification on Neural Networks Hardware

Authors: A. Balaji, F. Corradi, A. Das, S. Pande, S. Schaafsma, and F. Catthoor

JournalJournal of Low Power Electronics

9. Unsupervised Heart-Rate Estimation in Wearables with Liquid States and a Probabilistic Readout

Authors: A. Das, P. Pradhapan, W. Groenendaal, P. Adiraju, R. T. Rajan, F. Catthoor, S. Schaafsma, J. L. Krichmar, N. D. Dutt, and C. Van Hoof

JournalNeural Networks

8. Energy-Efficient Mapping of LTE-A PHY Signal Processing Tasks on Microservers

Authors: A. Das, F. Catthoor, A. Bourdoux, and B. Gyselinckx

JournalIEEE Transactions on Green Communications and Networking

7. Heartbeat Classification in Wearables Using Multi-Layer Perceptron and Time-Frequency Joint Distribution of ECG

Authors: A. Das, F. Catthoor, and S. Schaafsma

ConferenceIEEE/ACM International Conference on Connected Health: Applications, Systems and Engineering Technologies (CHASE)

6. VRL-DRAM: Improving DRAM Performance via Variable Refresh Latency

Authors: A. Das, H. Hassan, and O. Mutlu

ConferenceACM/IEEE Design Automation Conference (DAC)

5. Mapping of Local and Global Synapses on Spiking Neuromorphic Hardware

Authors: A. Das, Y. Wu, K. Huynh, F. Dell'Anna, F. Catthoor, and S. Schaafsma

ConferenceDesign, Automation and Test in Europe Conference (DATE)

4. Dataflow-Based Mapping of Spiking Neural Networks on Neuromorphic Hardware

Authors: A. Das and A. Kumar

ConferenceACM Great Lakes Symposium on VLSI (GLSVLSI)

3. Graceful Performance Adaption Through Hardware-Software Interaction for Autonomous Battery Management of Multicore Smartphones

Authors: A. Das, D. Balsamo, G. V. Merrett, B. M. Al-Hashimi, and F. Catthoor

ConferenceInternational Green and Sustainable Computing Conference (IGSC)

2. Reliable and Energy Efficient Streaming Multiprocessor Systems

Authors: A. Das, A. Kumar, B. Veeravalli, and F. Catthoor

BookEmbedded Systems Series (N. Dutt, G. Martin, and P. Marwedel, Editors), Springer

1. Very Large-Scale Neuromorphic Systems for Biological Signal Processing

Authors: F. Catthoor, S. Mitra, A. Das, and S. Schaafsma

Book ChapterCMOS Circuits for Biological Sensing and Processing, Springer

1. Accurate and Stable Run-Time Power Modeling for Mobile and Embedded CPUs

Authors: M. J. Walker, S. Diestelhorst, A. Hansson, A. Das, S. Yang, B. M. Al-Hashimi, and G. V. Merrett

JournalIEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD)

7. Graceful Performance Modulation for Power-Neutral Transient Computing Systems

Authors: D. Balsamo, A. Das, A. S. Weddell, D. Brunelli, B. M. Al-Hashimi, G. V. Merrett, and L. Benini

JournalIEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD)

6. Learning Transfer-Based Adaptive Energy Minimization in Embedded Systems

Authors: R. A. Shafik, S. Yang, A. Das, L. A. Maeda-Nunez, G. V. Merrett, and B. M. Al-Hashimi

JournalIEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD)

5. Workload Change Point Detection for Runtime Thermal Management of Embedded Systems

Authors: A. Das, G. V. Merrett, M. Tribastone, and B. M. Al-Hashimi

JournalIEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD)

4. Hibernus++: A Self-Calibrating and Adaptive System for Transiently-Powered Embedded Devices

Authors: D. Balsamo, A. S. Weddell, A. Das, A. Rodriguez Arreola, D. Brunelli, B. M. Al-Hashimi, G. V. Merrett, and L. Benini

JournalIEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD)

3. Adaptive and Hierarchical Runtime Manager for Energy-Aware Thermal Management of Embedded Systems

Authors: A. Das, B. M. Al-Hashimi, and G. V. Merrett

JournalACM Transactions on Embedded Computing Systems (TECS)

2. Reliability and Energy-Aware Mapping and Scheduling of Multimedia Applications on Multiprocessor Systems

Authors: A. Das, A. Kumar, and B. Veeravalli

JournalIEEE Transactions on Parallel and Distributed Systems (TPDS)

1. The Slowdown or Race-to-Idle Question: Workload-Aware Energy Optimization of SMT Multicore Platforms Under Process Variation

Authors: A. Das, G. V. Merrett, and B. M. Al-Hashimi

ConferenceDesign, Automation and Test in Europe Conference (DATE)

7. Autonomous Soft-Error Tolerance of FPGA Configuration Bits

Authors: A. Das, S. Venkataraman, and A. Kumar

JournalACM Transactions on Reconfigurable Technology and Systems (TRETS)

6. Execution Trace-Driven Energy-Reliability Optimization for Multimedia MPSoCs

Authors: A. Das, A. K. Singh, and A. Kumar

JournalACM Transactions on Reconfigurable Technology and Systems (TRETS)

5. Workload Uncertainty Characterization and Adaptive Frequency Scaling for Energy Minimization of Embedded Systems

Authors: A. Das, A. Kumar, B. Veeravalli, R. A. Shafik, G. V. Merrett, and B. M. Al-Hashimi

ConferenceDesign, Automation and Test in Europe Conference (DATE)

4. Adaptive Energy Minimization of OpenMP Parallel Applications on Many-Core Systems

Authors: R. A. Shafik, A. Das, S. Yang, G. V. Merrett, and B. M. Al-Hashimi

ConferenceWorkshop on Parallel Programming and Run-Time Management Techniques for Many-Core Architectures and Workshop on Design Tools and Architectures for Multicore Embedded Computing Platforms (PARMA-DITAM)

3. Hardware-Software Interaction for Run-Time Power Optimization: A Case Study of Embedded Linux on Multicore Smartphones

Authors: A. Das, M. J. Walker, A. Hansson, B. M. Al-Hashimi, and G. V. Merrett

ConferenceIEEE/ACM International Symposium on Low Power Electronics and Design (ISLPED)

2. Approaches to Transient Computing for Energy Harvesting Systems: A Quantitative Evaluation

Authors: A. Rodriguez Arreola, D. Balsamo, A. Das, A. S. Weddell, D. Brunelli, B. M. Al-Hashimi, and G. V. Merrett

ConferenceInternational Workshop on Energy Harvesting and Energy-Neutral Sensing Systems (ENSsys)

1. Design Considerations for Reliable Embedded Systems

Authors: R. A. Shafik, A. Das, S. Yang, G. Merrett, and B. M. Al-Hashimi

Book ChapterReliability Characterisation of Electrical and Electronic Systems, Elsevier

8. Communication and Migration Energy Aware Task Mapping for Reliable Multiprocessor Systems

Authors: A. Das, A. Kumar, and B. Veeravalli

JournalFuture Generation Computer Systems

7. Energy-Aware Task Mapping and Scheduling for Reliable Embedded Computing Systems

Authors: A. Das, A. Kumar, and B. Veeravalli

JournalACM Transactions on Embedded Computing Systems (TECS)

6. Reinforcement Learning-Based Inter- and Intra-Application Thermal Optimization for Lifetime Improvement of Multicore Systems

Authors: A. Das, R. A. Shafik, G. V. Merrett, B. M. Al-Hashimi, A. Kumar, and B. Veeravalli

ConferenceACM/IEEE Design Automation Conference (DAC)

5. Temperature Aware Energy-Reliability Trade-Offs for Mapping of Throughput-Constrained Applications on Multimedia MPSoCs

Authors: A. Das, A. Kumar, and B. Veeravalli

ConferenceDesign, Automation and Test in Europe Conference (DATE)

4. Combined DVFS and Mapping Exploration for Lifetime and Soft-Error Susceptibility Improvement in MPSoCs

Authors: A. Das, A. Kumar, B. Veeravalli, C. Bolchini, and A. Miele

ConferenceDesign, Automation and Test in Europe Conference (DATE)

3. Artificial Intelligence Based Task Mapping and Pipelined Scheduling for Checkpointing on Real Time Systems with Imperfect Fault Detection

Authors: A. Das, A. Kumar, and B. Veeravalli

ConferenceIEEE International Symposium on Defect and Fault Tolerance in VLSI and Nanotechnology Systems (DFT)

2. Criticality-Aware Scrubbing Mechanism for SRAM-Based FPGAs

Authors: R. Santos, S. Venkataraman, A. Das, and A. Kumar

ConferenceInternational Conference on Field-Programmable Logic and Applications (FPL)

1. A Bit-Interleaved Embedded Hamming Scheme to Correct Single-Bit and Multi-Bit Upsets for SRAM-Based FPGAs

Authors: S. Venkataraman, R. Santos, A. Das, and A. Kumar

ConferenceInternational Conference on Field-Programmable Logic and Applications (FPL)

8. Aging-Aware Hardware-Software Task Partitioning for Reliable Reconfigurable Multiprocessor Systems

Authors: A. Das, A. Kumar, and B. Veeravalli

ConferenceInternational Conference on Compilers, Architecture and Synthesis for Embedded Systems (CASES)

7. Energy Optimization by Exploiting Execution Slacks in Streaming Applications on Multiprocessor Systems

Authors: A. K. Singh, A. Das, and A. Kumar

ConferenceACM/IEEE Design Automation Conference (DAC)

6. Reliability-Driven Task Mapping for Lifetime Extension of Networks-on-Chip Based Multiprocessor Systems

Authors: A. Das, A. Kumar, and B. Veeravalli

ConferenceDesign, Automation and Test in Europe Conference (DATE)

5. Communication and Migration Energy Aware Design Space Exploration for Multicore Systems with Intermittent Faults

Authors: A. Das, A. Kumar, and B. Veeravalli

ConferenceDesign, Automation and Test in Europe Conference (DATE)

4. Run-Time Mapping for Reliable Many-Cores Based on Energy/Performance Trade-Offs

Authors: C. Bolchini, M. Carminati, A. Miele, A. Das, A. Kumar, and B. Veeravalli

ConferenceIEEE International Symposium on Defect and Fault Tolerance in VLSI and Nanotechnology Systems (DFT)

3. RAPIDITAS: RAPId Design-Space-Exploration Incorporating Trace-Based Analysis and Simulation

Authors: A. K. Singh, A. Das, and A. Kumar

ConferenceEuromicro Conference on Digital System Design (DSD)

2. Improving Autonomous Soft-Error Tolerance of FPGA Through LUT Configuration Bit Manipulation

Authors: A. Das, S. Venkataraman, and A. Kumar

ConferenceInternational Conference on Field-Programmable Logic and Applications (FPL)

1. Energy-Aware Dynamic Reconfiguration of Communication-Centric Applications for Reliable MPSoCs

Authors: A. Das, A. K. Singh, and A. Kumar

ConferenceInternational Workshop on Reconfigurable and Communication-Centric Systems-on-Chip (ReCoSoC)

5. Minimizing Power Consumption of Spatial Division Based Networks-on-Chip Using Multi-Path and Frequency Reduction

Authors: S. H. Wang, A. Das, A. Kumar, and H. Corporaal

ConferenceEuromicro Conference on Digital System Design (DSD)

4. Energy-Aware Communication and Remapping of Tasks for Reliable Multimedia Multiprocessor Systems

Authors: A. Das, A. Kumar, and B. Veeravalli

ConferenceIEEE International Conference on Parallel and Distributed Systems (ICPADS)

3. Fault-Tolerant Network Interface for Spatial Division Multiplexing Based Network-on-Chip

Authors: A. Das, A. Kumar, and B. Veeravalli

ConferenceInternational Workshop on Reconfigurable and Communication-Centric Systems-on-Chip (ReCoSoC)

2. Fault-Aware Task Re-Mapping for Throughput Constrained Multimedia Applications on NoC-Based MPSoCs

Authors: A. Das and A. Kumar

ConferenceIEEE International Symposium on Rapid System Prototyping (RSP)

1. A Design Flow for Partially Reconfigurable Heterogeneous Multi-Processor Platforms

Authors: J. Li, A. Das, and A. Kumar

ConferenceIEEE International Symposium on Rapid System Prototyping (RSP)

1. A Study on Performance Benefits of Core Morphing in an Asymmetric Multicore Processor

Authors: A. Das, R. Rodrigues, I. Koren, and S. Kundu

ConferenceIEEE International Conference on Computer Design (ICCD)