Anup Das

ORCID

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 102

Top Venues

CoRR

DATE

ACM Trans. Embed. Comput. Syst.

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst.

Publications

Ilknur Mustafazade, Nagarajan Kandasamy, Anup Das
Clustering and Allocation of Spiking Neural Networks on Crossbar-Based Neuromorphic Architecture. CF (2024)
Abhishek Mishra, Mohammad Ershad Shaik, Anush Lingamoorthy, Suman Kumar, Anup Das, Nagarajan Kandasamy, Nur A. Touba
WaferCap: Open Classification of Wafer Map Patterns using Deep Capsule Network. VTS (2024)
Ankita Paul, Shihao Song, Twisha Titirsha, Anup Das
On the Mitigation of Read Disturbances in Neuromorphic Inference Hardware. IEEE Des. Test 40 (2) (2023)
Murat Isik, Malvin Nkomo, Anup Das, Kapil R. Dandekar
FPGA Implementation of OTFS Modulation for 6G Communication Systems. CoRR (2023)
Aviral Shrivastava, Jian-Jia Chen, Akash Kumar, Anup Das
ACM TECS Special Issue on Embedded System Security Tutorials. ACM Trans. Embed. Comput. Syst. 22 (3) (2023)
M. Lakshmi Varshika, Abhishek Kumar Mishra, Nagarajan Kandasamy, Anup Das
Hardware-Software Co-Design for On-Chip Learning in AI Systems. ASP-DAC (2023)
Adarsha Balaji, Phu Khanh Huynh, Francky Catthoor, Nikil D. Dutt, Jeffrey L. Krichmar, Anup Das
NeuSB: A Scalable Interconnect Architecture for Spiking Neuromorphic Hardware. IEEE Trans. Emerg. Top. Comput. 11 (2) (2023)
Abhishek Kumar Mishra, Anup Das, Nagarajan Kandasamy
Online Performance Monitoring of Neuromorphic Computing Systems. ETS (2023)
Anup Das
Preserving Privacy of Neuromorphic Hardware From PCIe Congestion Side-Channel Attack. COMPSAC (2023)
M. Lakshmi Varshika, Sarah Johari, Jayanth Dubey, Anup Das
Design of a Tunable Astrocyte Neuromorphic Circuitry with Adaptable Fault Tolerance. MWSCAS (2023)
Anup Das
Real-Time Scheduling of Machine Learning Operations on Heterogeneous Neuromorphic SoC. CoRR (2022)
Oguzhan Derebasi, Murat Isik, Oguzhan Demirag, Dilek Göksel Duru, Anup Das
A Coupled Neural Circuit Design for Guillain-Barre Syndrome. CoRR (2022)
Shihao Song, Harry Chong, Adarsha Balaji, Anup Das, James A. Shackleford, Nagarajan Kandasamy
DFSynthesizer: Dataflow-based Synthesis of Spiking Neural Networks to Neuromorphic Hardware. ACM Trans. Embed. Comput. Syst. 21 (3) (2022)
Lars Niedermeier, Kexin Chen, Jinwei Xing, Anup Das, Jeffrey Kopsick, Eric Scott, Nate Sutton, Killian Weber, Nikil D. Dutt, Jeffrey L. Krichmar
CARLsim 6: An Open Source Library for Large-Scale, Biologically Detailed Spiking Neural Network Simulation. IJCNN (2022)
Ankita Paul, Shihao Song, Twisha Titirsha, Anup Das
On the Mitigation of Read Disturbances in Neuromorphic Inference Hardware. CoRR (2022)
Ankita Paul, Stefan Wagner, Anup Das
Learning in Feedback-driven Recurrent Spiking Neural Networks using full-FORCE Training. CoRR (2022)
Shihao Song, Adarsha Balaji, Anup Das, Nagarajan Kandasamy
Design-Technology Co-Optimization for NVM-Based Neuromorphic Processing Elements. ACM Trans. Embed. Comput. Syst. 21 (6) (2022)
Ankita Paul, Md Abu Saleh Tajin, Anup Das, William M. Mongan, Kapil R. Dandekar
Energy-Efficient Respiratory Anomaly Detection in Premature Newborn Infants. CoRR (2022)
Mali Halac, Murat Isik, Hasan Ayaz, Anup Das
Multiscale Voxel Based Decoding For Enhanced Natural Image Reconstruction From Brain Activity. CoRR (2022)
Mali Halac, Murat Isik, Hasan Ayaz, Anup Das
Multiscale Voxel Based Decoding For Enhanced Natural Image Reconstruction From Brain Activity. IJCNN (2022)
Shihao Song, Adarsha Balaji, Anup Das, Nagarajan Kandasamy
Design-Technology Co-Optimization for NVM-based Neuromorphic Processing Elements. CoRR (2022)
Anup Das
Real-Time Scheduling of Machine Learning Operations on Heterogeneous Neuromorphic SoC. MEMOCODE (2022)
M. Lakshmi Varshika, Adarsha Balaji, Federico Corradi, Anup Das, Jan Stuijt, Francky Catthoor
Design of Many-Core Big Little µBrains for Energy-Efficient Embedded Neuromorphic Computing. DATE (2022)
Twisha Titirsha, Shihao Song, Anup Das, Jeffrey L. Krichmar, Nikil D. Dutt, Nagarajan Kandasamy, Francky Catthoor
Endurance-Aware Mapping of Spiking Neural Networks to Neuromorphic Hardware. IEEE Trans. Parallel Distributed Syst. 33 (2) (2022)
Murat Isik, Ankita Paul, M. Lakshmi Varshika, Anup Das
A design methodology for fault-tolerant computing using astrocyte neural networks. CF (2022)
Ankita Paul, Stefan Wagner, Anup Das
Learning in Feedback-driven Recurrent Spiking Neural Networks using full-FORCE Training. IJCNN (2022)
Murat Isik, Ankita Paul, M. Lakshmi Varshika, Anup Das
A Design Methodology for Fault-Tolerant Computing using Astrocyte Neural Networks. CoRR (2022)
Phu Khanh Huynh, M. Lakshmi Varshika, Ankita Paul, Murat Isik, Adarsha Balaji, Anup Das
Implementing Spiking Neural Networks on Neuromorphic Architectures: A Review. CoRR (2022)
Shamik Kundu, Kanad Basu, Mehdi Sadi, Twisha Titirsha, Shihao Song, Anup Das, Ujjwal Guin
Special Session: Reliability Analysis for ML/AI Hardware. CoRR (2021)
Shihao Song, Twisha Titirsha, Anup Das
Improving Inference Lifetime of Neuromorphic Systems via Intelligent Synapse Mapping. CoRR (2021)
Ethan Jacob Moyer, Anup Das
Motif Identification using CNN-based Pairwise Subsequence Alignment Score Prediction. CoRR (2021)
Twisha Titirsha, Shihao Song, Adarsha Balaji, Anup Das
On the role of system software in energy management of neuromorphic computing. CF (2021)
Shihao Song, Harry Chong, Adarsha Balaji, Anup Das, James A. Shackleford, Nagarajan Kandasamy
DFSynthesizer: Dataflow-based Synthesis of Spiking Neural Networks to Neuromorphic Hardware. CoRR (2021)
Ankita Paul, Shihao Song, Anup Das
Design Technology Co-Optimization for Neuromorphic Computing. CoRR (2021)
Adarsha Balaji, Shihao Song, Twisha Titirsha, Anup Das, Jeffrey L. Krichmar, Nikil D. Dutt, James A. Shackleford, Nagarajan Kandasamy, Francky Catthoor
NeuroXplorer 1.0: An Extensible Framework for Architectural Exploration with Spiking Neural Networks. ICONS (2021)
Shihao Song, M. Lakshmi Varshika, Anup Das, Nagarajan Kandasamy
A Design Flow for Mapping Spiking Neural Networks to Many-Core Neuromorphic Hardware. ICCAD (2021)
Adarsha Balaji, Shihao Song, Anup Das, Jeffrey L. Krichmar, Nikil D. Dutt, James A. Shackleford, Nagarajan Kandasamy, Francky Catthoor
Enabling Resource-Aware Mapping of Spiking Neural Networks via Spatial Decomposition. IEEE Embed. Syst. Lett. 13 (3) (2021)
Serena Curzel, Nicolas Bohm Agostini, Shihao Song, Ismet Dagli, Ankur Limaye, Cheng Tan, Marco Minutoli, Vito Giovanni Castellana, Vinay Amatya, Joseph B. Manzano, Anup Das, Fabrizio Ferrandi, Antonino Tumeo
Automated Generation of Integrated Digital and Spiking Neuromorphic Machine Learning Accelerators. ICCAD (2021)
Twisha Titirsha, Shihao Song, Adarsha Balaji, Anup Das
On the Role of System Software in Energy Management of Neuromorphic Computing. CoRR (2021)
Ankita Paul, Shihao Song, Anup Das
Design Technology Co-Optimization for Neuromorphic Computing. IGSC (2021)
Adarsha Balaji, Shihao Song, Twisha Titirsha, Anup Das, Jeffrey L. Krichmar, Nikil D. Dutt, James A. Shackleford, Nagarajan Kandasamy, Francky Catthoor
NeuroXplorer 1.0: An Extensible Framework for Architectural Exploration with Spiking Neural Networks. CoRR (2021)
M. Lakshmi Varshika, Adarsha Balaji, Federico Corradi, Anup Das, Jan Stuijt, Francky Catthoor
Design of Many-Core Big Little μBrain for Energy-Efficient Embedded Neuromorphic Computing. CoRR (2021)
Shihao Song, Jui Hanamshet, Adarsha Balaji, Anup Das, Jeffrey L. Krichmar, Nikil D. Dutt, Nagarajan Kandasamy, Francky Catthoor
Dynamic Reliability Management in Neuromorphic Computing. CoRR (2021)
Shihao Song, Jui Hanamshet, Adarsha Balaji, Anup Das, Jeffrey L. Krichmar, Nikil D. Dutt, Nagarajan Kandasamy, Francky Catthoor
Dynamic Reliability Management in Neuromorphic Computing. ACM J. Emerg. Technol. Comput. Syst. 17 (4) (2021)
Twisha Titirsha, Shihao Song, Anup Das, Jeffrey L. Krichmar, Nikil D. Dutt, Nagarajan Kandasamy, Francky Catthoor
Endurance-Aware Mapping of Spiking Neural Networks to Neuromorphic Hardware. CoRR (2021)
Shihao Song, Anup Das, Onur Mutlu, Nagarajan Kandasamy
Aging-Aware Request Scheduling for Non-Volatile Main Memory. ASP-DAC (2021)
Shihao Song, Twisha Titirsha, Anup Das
Improving Inference Lifetime of Neuromorphic Systems via Intelligent Synapse Mapping. ASAP (2021)
Shamik Kundu, Kanad Basu, Mehdi Sadi, Twisha Titirsha, Shihao Song, Anup Das, Ujjwal Guin
Special Session: Reliability Analysis for AI/ML Hardware. VTS (2021)
Shihao Song, M. Lakshmi Varshika, Anup Das, Nagarajan Kandasamy
A Design Flow for Mapping Spiking Neural Networks to Many-Core Neuromorphic Hardware. CoRR (2021)
Shihao Song, Anup Das
Design Methodologies for Reliable and Energy-efficient PCM Systems. CoRR (2020)
Twisha Titirsha, Anup Das
Thermal-Aware Compilation of Spiking Neural Networks to Neuromorphic Hardware. LCPC (2020)
Shihao Song, Anup Das, Nagarajan Kandasamy
Improving Dependability of Neuromorphic Computing With Non-Volatile Memory. CoRR (2020)
Shihao Song, Anup Das, Nagarajan Kandasamy
Exploiting Inter- and Intra-Memory Asymmetries for Data Mapping in Hybrid Tiered-Memories. CoRR (2020)
Shihao Song, Anup Das, Nagarajan Kandasamy
Improving Dependability of Neuromorphic Computing With Non-Volatile Memory. EDCC (2020)
Shihao Song, Adarsha Balaji, Anup Das, Nagarajan Kandasamy, James A. Shackleford
Compiling Spiking Neural Networks to Neuromorphic Hardware. CoRR (2020)
Adarsha Balaji, Thibaut Marty, Anup Das, Francky Catthoor
Run-time Mapping of Spiking Neural Networks to Neuromorphic Hardware. CoRR (2020)
Shihao Song, Anup Das
A Case for Lifetime Reliability-Aware Neuromorphic Computing. MWSCAS (2020)
Adarsha Balaji, Shihao Song, Anup Das, Jeffrey L. Krichmar, Nikil D. Dutt, James A. Shackleford, Nagarajan Kandasamy, Francky Catthoor
Enabling Resource-Aware Mapping of Spiking Neural Networks via Spatial Decomposition. CoRR (2020)
Adarsha Balaji, Thibaut Marty, Anup Das, Francky Catthoor
Run-time Mapping of Spiking Neural Networks to Neuromorphic Hardware. J. Signal Process. Syst. 92 (11) (2020)
Shihao Song, Anup Das
A Case for Lifetime Reliability-Aware Neuromorphic Computing. CoRR (2020)
Shihao Song, Anup Das, Onur Mutlu, Nagarajan Kandasamy
Improving phase change memory performance with data content aware access. ISMM (2020)
Shihao Song, Anup Das, Nagarajan Kandasamy
Exploiting inter- and intra-memory asymmetries for data mapping in hybrid tiered-memories. ISMM (2020)
Shihao Song, Anup Das, Onur Mutlu, Nagarajan Kandasamy
Improving Phase Change Memory Performance with Data Content Aware Access. CoRR (2020)
Adarsha Balaji, Prathyusha Adiraju, Hirak Jyoti Kashyap, Anup Das, Jeffrey L. Krichmar, Nikil D. Dutt, Francky Catthoor
PyCARL: A PyNN Interface for Hardware-Software Co-Simulation of Spiking Neural Network. CoRR (2020)
Shihao Song, Adarsha Balaji, Anup Das, Nagarajan Kandasamy, James A. Shackleford
Compiling Spiking Neural Networks to Neuromorphic Hardware. LCTES (2020)
Adarsha Balaji, Francky Catthoor, Anup Das, Yuefeng Wu, Khanh Huynh, Francesco Dell'Anna, Giacomo Indiveri, Jeffrey L. Krichmar, Nikil D. Dutt, Siebren Schaafsma
Mapping Spiking Neural Networks to Neuromorphic Hardware. IEEE Trans. Very Large Scale Integr. Syst. 28 (1) (2020)
Twisha Titirsha, Anup Das
Reliability-Performance Trade-offs in Neuromorphic Computing. IGSC (Workshops) (2020)
Adarsha Balaji, Prathyusha Adiraju, Hirak Jyoti Kashyap, Anup Das, Jeffrey L. Krichmar, Nikil D. Dutt, Francky Catthoor
PyCARL: A PyNN Interface for Hardware-Software Co-Simulation of Spiking Neural Network. IJCNN (2020)
Ethan Jacob Moyer, Anup Das
Machine learning applications to DNA subsequence and restriction site analysis. CoRR (2020)
Adarsha Balaji, Anup Das
Compiling Spiking Neural Networks to Mitigate Neuromorphic Hardware Constraints. CoRR (2020)
Shihao Song, Anup Das, Onur Mutlu, Nagarajan Kandasamy
Aging-Aware Request Scheduling for Non-Volatile Main Memory. CoRR (2020)
Twisha Titirsha, Anup Das
Thermal-Aware Compilation of Spiking Neural Networks to Neuromorphic Hardware. CoRR (2020)
Adarsha Balaji, Anup Das
Compiling Spiking Neural Networks to Mitigate Neuromorphic Hardware Constraints. IGSC (Workshops) (2020)
Twisha Titirsha, Anup Das
Reliability-Performance Trade-offs in Neuromorphic Computing. CoRR (2020)
Shihao Song, Anup Das
Design Methodologies for Reliable and Energy-efficient PCM Systems. IGSC (Workshops) (2020)
Adarsha Balaji, Anup Das, Yuefeng Wu, Khanh Huynh, Francesco Dell'Anna, Giacomo Indiveri, Jeffrey L. Krichmar, Nikil D. Dutt, Siebren Schaafsma, Francky Catthoor
Mapping Spiking Neural Networks to Neuromorphic Hardware. CoRR (2019)
Shihao Song, Anup Das, Onur Mutlu, Nagarajan Kandasamy
Enabling and Exploiting Partition-Level Parallelism (PALP) in Phase Change Memories. ACM Trans. Embed. Comput. Syst. 18 (5s) (2019)
Adarsha Balaji, Yuefeng Wu, Anup Das, Francky Catthoor, Siebren Schaafsma
Exploration of Segmented Bus As Scalable Global Interconnect for Neuromorphic Computing. ACM Great Lakes Symposium on VLSI (2019)
Shihao Song, Anup Das, Onur Mutlu, Nagarajan Kandasamy
Enabling and Exploiting Partition-Level Parallelism (PALP) in Phase Change Memories. CoRR (2019)
Adarsha Balaji, Salim Ullah, Anup Das, Akash Kumar
Design Methodology for Embedded Approximate Artificial Neural Networks. ACM Great Lakes Symposium on VLSI (2019)
Adarsha Balaji, Anup Das
A Framework for the Analysis of Throughput-Constraints of SNNs on Neuromorphic Hardware. ISVLSI (2019)
Anup Das, Yuefeng Wu, Khanh Huynh, Francesco Dell'Anna, Francky Catthoor, Siebren Schaafsma
Mapping of Local and Global Synapses on Spiking Neuromorphic Hardware. CoRR (2019)
Adarsha Balaji, Shihao Song, Anup Das, Nikil D. Dutt, Jeff Krichmar, Nagarajan Kandasamy, Francky Catthoor
A Framework to Explore Workload-Specific Performance and Lifetime Trade-offs in Neuromorphic Computing. IEEE Comput. Archit. Lett. 18 (2) (2019)
Anup Das, Francky Catthoor, Siebren Schaafsma
Heartbeat Classification in Wearables Using Multi-layer Perceptron and Time-Frequency Joint Distribution of ECG. CoRR (2019)
Adarsha Balaji, Shihao Song, Anup Das, Nikil D. Dutt, Jeffrey L. Krichmar, Nagarajan Kandasamy, Francky Catthoor
A Framework to Explore Workload-Specific Performance and Lifetime Trade-offs in Neuromorphic Computing. CoRR (2019)
Anup Das, Domenico Balsamo, Geoff V. Merrett, Bashir M. Al-Hashimi, Francky Catthoor
Graceful Performance Adaption through Hardware-Software Interaction for Autonomous Battery Management of Multicore Smartphones. IGSC (2018)
Anup Das, Akash Kumar
Dataflow-Based Mapping of Spiking Neural Networks on Neuromorphic Hardware. ACM Great Lakes Symposium on VLSI (2018)
Raj Thilak Rajan, Rob van Schaijk, Anup Das, Jac Romme, Frank J. Pasveer
Reference-free Calibration in Sensor Networks. CoRR (2018)
Anup Das, Paruthi Pradhapan, Willemijn Groenendaal, Prathyusha Adiraju, Raj Thilak Rajan, Francky Catthoor, Siebren Schaafsma, Jeffrey L. Krichmar, Nikil D. Dutt, Chris Van Hoof
Unsupervised heart-rate estimation in wearables with Liquid states and a probabilistic readout. Neural Networks 99 (2018)
Anup Das, Hasan Hassan, Onur Mutlu
VRL-DRAM: improving DRAM performance via variable refresh latency. DAC (2018)
Anup Das, Yuefeng Wu, Khanh Huynh, Francesco Dell'Anna, Francky Catthoor, Siebren Schaafsma
Mapping of local and global synapses on spiking neuromorphic hardware. DATE (2018)
Adarsha Balaji, Federico Corradi, Anup Das, Sandeep Pande, Siebren Schaafsma, Francky Catthoor
Power-Accuracy Trade-Offs for Heartbeat Classification on Neural Networks Hardware. J. Low Power Electron. 14 (4) (2018)
Anup Das, Francky Catthoor, André Bourdoux, Bert Gyselinckx
Energy-Efficient Mapping of LTE-A PHY Signal Processing Tasks on Microservers. IEEE Trans. Green Commun. Netw. 2 (2) (2018)
Matthew J. Walker, Stephan Diestelhorst, Andreas Hansson, Anup Das, Sheng Yang, Bashir M. Al-Hashimi, Geoff V. Merrett
Accurate and Stable Run-Time Power Modeling for Mobile and Embedded CPUs. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 36 (1) (2017)
Anup Das, Paruthi Pradhapan, Willemijn Groenendaal, Prathyusha Adiraju, Raj Thilak Rajan, Francky Catthoor, Siebren Schaafsma, Jeffrey L. Krichmar, Nikil D. Dutt, Chris Van Hoof
Unsupervised Heart-rate Estimation in Wearables With Liquid States and A Probabilistic Readout. CoRR (2017)
Anup Das, Akash Kumar, Bharadwaj Veeravalli
Reliability and Energy-Aware Mapping and Scheduling of Multimedia Applications on Multiprocessor Systems. IEEE Trans. Parallel Distributed Syst. 27 (3) (2016)
Anup Das, Geoff V. Merrett, Bashir M. Al-Hashimi
The slowdown or race-to-idle question: Workload-aware energy optimization of SMT multicore platforms under process variation. DATE (2016)
Anup Das, Geoff V. Merrett, Mirco Tribastone, Bashir M. Al-Hashimi
Workload Change Point Detection for Runtime Thermal Management of Embedded Systems. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 35 (8) (2016)
Domenico Balsamo, Alex S. Weddell, Anup Das, Alberto Rodriguez Arreola, Davide Brunelli, Bashir M. Al-Hashimi, Geoff V. Merrett, Luca Benini
Hibernus++: A Self-Calibrating and Adaptive System for Transiently-Powered Embedded Devices. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 35 (12) (2016)
Rishad A. Shafik, Sheng Yang, Anup Das, Luis Alfonso Maeda-Nunez, Geoff V. Merrett, Bashir M. Al-Hashimi
Learning Transfer-Based Adaptive Energy Minimization in Embedded Systems. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 35 (6) (2016)

Anup Das.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Anup Das