Anup Das

162 papers A* 3A 19B 13C 13Misc 4Journal 77Unranked 32
YearRankTypeTitle / Venue / Authors
2026 J jnl
Efficient Aspect Term Extraction using Spiking Neural Network.
CoRR
Abhishek Kumar Mishra, Arya Somasundaram, Anup Das, Nagarajan Kandasamy
2025 C conf
A Digital Neuromorphic Architecture for Unsupervised Shortest Path Computation on Real-World Graphs.
ISCAS
Arghavan Mohammadhassani, Shadi Matinizadeh, M. Lakshmi Varshika, Anup Das
2025 C conf
A Framework for Automatic Synthesis of Neuromorphic Architectures with Heterogeneous Integration of CMOS and Memristors.
ISCAS
Sarah Johari, Arghavan Mohammadhassani, Anup Das
2025 J jnl
Design Flow for Scheduling Spiking Deep Convolutional Neural Networks on Heterogeneous Neuromorphic System-on-chip.
ACM Trans. Embed. Comput. Syst.
Anup Das
2025 A conf
Exploring Dendritic Computation in Bio-Inspired Architectures for Dynamic Programming.
DATE
Anup Das
2025 A conf
Hierarchical Model-Based Approach for Concurrent Testing of Neuromorphic Architecture.
DSN
Suman Kumar, Abhishek Kumar Mishra, Anup Das, Nagarajan Kandasamy
2025 J jnl
Improving Performance of Spike-based Deep Q-Learning using Ternary Neurons.
CoRR
Aref Ghoreishee, Abhishek Kumar Mishra, John Walsh, Anup Das, Nagarajan Kandasamy
2025 C conf
Improving Scalability of NoC-Based Neuromorphic Hardware with Compressed AER (C-AER) Protocol.
ISCAS
Arghavan Mohammadhassani, Sarah Johari, Krupa Tishbi, Anup Das
2025 A conf
Invited Paper: Analyzing the Robustness of Neuromorphic Computing in the Presence of Variability in Non-Volatile Memory.
ICCAD
Andreia Podasca, Anup Das
2025 J jnl
Mapping and Scheduling Spiking Neural Networks On Segmented Ladder Bus Architectures.
CoRR
Phu Khanh Huynh, Francky Catthoor, Anup Das
2025 J jnl
Mapping and scheduling spiking neural networks on segmented ladder bus architectures.
J. Syst. Archit.
Phu Khanh Huynh, Francky Catthoor, Anup Das
2025 A conf
Neuromorphic Architectures for Scientific Computing: a Structural Characterization Case Study.
ICCAD
M. Lakshmi Varshika, Jonathan Hollenbach, Nicolas Bohm Agostini, Ankur Limaye, Marco Minutoli, Vito Giovanni Castellana, Joseph B. Manzano, Anup Das, Mitra Taheri, Antonino Tumeo
2025 A conf
Online Learning for Dynamic Structural Characterization in Electron Energy Loss Spectroscopy.
DATE
M. Lakshmi Varshika, Jonathan Hollenbach, Nicolas Bohm Agostini, Ankur Limaye, Antonino Tumeo, Anup Das
2025 A conf
Optimizing Memory Latency and Bandwidth of Spiking Neural Network Accelerators on FPGA via Sparse Hashing.
ICCAD
Shadi Matinizadeh, M. Lakshmi Varshika, Anup Das
2025 J jnl
Scenario-Aware Control of Segmented Ladder Bus: Design and FPGA Implementation.
CoRR
Phu Khanh Huynh, Francky Catthoor, Anup Das
2024 — conf
A Fully-Configurable Digital Spiking Neuromorphic Hardware Design with Variable Quantization and Mixed Precision.
MWSCAS
Shadi Matinizadeh, Arghavan Mohammadhassani, Noah Pacik-Nelson, Ioannis Polykretis, Abhishek Kumar Mishra, James A. Shackleford, Nagarajan Kandasamy, Eric M. Gallo, Anup Das
2024 J jnl
A Fully-Configurable Open-Source Software-Defined Digital Quantized Spiking Neural Core Architecture.
CoRR
Shadi Matinizadeh, Noah Pacik-Nelson, Ioannis Polykretis, Krupa Tishbi, Suman Kumar, M. Lakshmi Varshika, Arghavan Mohammadhassani, Abhishek Kumar Mishra, Nagarajan Kandasamy, James A. Shackleford, Eric M. Gallo, Anup Das
2024 J jnl
A Scalable Dynamic Segmented Bus Interconnect for Neuromorphic Architectures.
IEEE Embed. Syst. Lett.
Phu Khanh Huynh, Ilknur Mustafazade, Francky Catthoor, Nagarajan Kandasamy, Anup Das
2024 B conf
An Open-Source And Extensible Framework for Fast Prototyping and Benchmarking of Spiking Neural Network Hardware.
FPL
Shadi Matinizadeh, Anup Das
2024 — conf
CMOS-Memristor Hybrid Design of A Neuromorphic Crossbar Array with Integrated Inference and Training.
MWSCAS
Sarah Johari, Arghavan Mohammadhassani, M. Lakshmi Varshika, Anup Das
2024 — conf
Clustering and Allocation of Spiking Neural Networks on Crossbar-Based Neuromorphic Architecture.
CF
Ilknur Mustafazade, Nagarajan Kandasamy, Anup Das
2024 B conf
Data Driven Learning of Aperiodic Nonlinear Dynamic Systems Using Spike Based Reservoirs-in-Reservoir.
IJCNN
Ankita Paul, Nagarajan Kandasamy, Kapil R. Dandekar, Anup Das
2024 C conf
Efficient Built-In Self-Test Strategy for Neuromorphic Hardware Based On Alarm Placement.
PRDC
Ilknur Mustafazade, Anup Das, Nagarajan Kandasamy
2024 — conf
Learning in Recurrent Spiking Neural Networks with Sparse Full-FORCE Training.
ICANN (10)
Ankita Paul, Anup Das
2024 C conf
Model-Based Approach Towards Correctness Checking of Neuromorphic Computing Systems.
PRDC
Abhishek Kumar Mishra, Anup Das, Nagarajan Kandasamy
2024 A conf
Neuromorphic Computing for Graph Analytics.
ICCAD
Anup Das
2024 — conf
Neuromorphic Computing for the Masses.
ICONS
Shadi Matinizadeh, Arghavan Mohammadhassani, Noah Pacik-Nelson, Ioannis Polykretis, Krupa Tishbi, Suman Kumar, M. Lakshmi Varshika, Abhishek Kumar Mishra, Nagarajan Kandasamy, James A. Shackleford, Eric M. Gallo, Anup Das
2024 — ch.
Platform-Based Design of Embedded Neuromorphic Systems.
Embedded Machine Learning for Cyber-Physical, IoT, and Edge Computing: Hardware Architectures
M. Lakshmi Varshika, Anup Das
2024 — conf
QUANTISENC++: A Fully-Configurable Many-Core Neuromorphic Hardware.
IEEECONF
Shadi Matinizadeh, Arghavan Mohammadhassani, M. Lakshmi Varshika, Sarah Johari, Nagarajan Kandasamy, Anup Das
2024 — conf
Sparsity Aware Learning in Feedback-Driven Differential Recurrent Neural Networks.
ICANN (4)
Ankita Paul, Anup Das
2024 — conf
Towards Biology-Inspired Fault Tolerance of Neuromorphic Hardware for Space Applications.
DFT
Shadi Matinizadeh, Sarah Johari, Arghavan Mohammadhassani, Anup Das
2024 A conf
Wafer2Spike: Spiking Neural Network for Wafer Map Pattern Classification.
ITC
Abhishek Kumar Mishra, Suman Kumar, Anush Niranjan Lingamoorthy, Anup Das, Nagarajan Kandasamy
2024 J jnl
Wafer2Spike: Spiking Neural Network for Wafer Map Pattern Classification.
CoRR
Abhishek Kumar Mishra, Suman Kumar, Anush Niranjan Lingamoorthy, Anup Das, Nagarajan Kandasamy
2024 Misc conf
WaferCap: Open Classification of Wafer Map Patterns using Deep Capsule Network.
VTS
Abhishek Kumar Mishra, Mohammad Ershad Shaik, Anush Niranjan Lingamoorthy, Suman Kumar, Anup Das, Nagarajan Kandasamy, Nur A. Touba
2023 J jnl
ACM TECS Special Issue on Embedded System Security Tutorials.
ACM Trans. Embed. Comput. Syst.
Aviral Shrivastava, Jian-Jia Chen, Akash Kumar, Anup Das
2023 — conf
Design of a Tunable Astrocyte Neuromorphic Circuitry with Adaptable Fault Tolerance.
MWSCAS
M. Lakshmi Varshika, Sarah Johari, Jayanth Dubey, Anup Das
2023 J jnl
FPGA Implementation of OTFS Modulation for 6G Communication Systems.
CoRR
Murat Isik, Malvin Nkomo, Anup Das, Kapil R. Dandekar
2023 — conf
Hardware-Software Co-Design for On-Chip Learning in AI Systems.
ASP-DAC
M. Lakshmi Varshika, Abhishek Kumar Mishra, Nagarajan Kandasamy, Anup Das
2023 — conf
Improving Performance of Network-on-Memory Architectures via (De-)/Compression-in-DRAM.
SLIP
Arghavan Mohammadhassani, Anup Das
2023 J jnl
NeuSB: A Scalable Interconnect Architecture for Spiking Neuromorphic Hardware.
IEEE Trans. Emerg. Top. Comput.
Adarsha Balaji, Phu Khanh Huynh, Francky Catthoor, Nikil D. Dutt, Jeffrey L. Krichmar, Anup Das
2023 J jnl
On the Mitigation of Read Disturbances in Neuromorphic Inference Hardware.
IEEE Des. Test
Ankita Paul, Shihao Song, Twisha Titirsha, Anup Das
2023 B conf
Online Performance Monitoring of Neuromorphic Computing Systems.
ETS
Abhishek Kumar Mishra, Anup Das, Nagarajan Kandasamy
2023 B conf
Preserving Privacy of Neuromorphic Hardware From PCIe Congestion Side-Channel Attack.
COMPSAC
Anup Das
2022 J jnl
A Coupled Neural Circuit Design for Guillain-Barre Syndrome.
CoRR
Oguzhan Derebasi, Murat Isik, Oguzhan Demirag, Dilek Göksel Duru, Anup Das
2022 J jnl
A Design Methodology for Fault-Tolerant Computing using Astrocyte Neural Networks.
CoRR
Murat Isik, Ankita Paul, M. Lakshmi Varshika, Anup Das
2022 — conf
A design methodology for fault-tolerant computing using astrocyte neural networks.
CF
Murat Isik, Ankita Paul, M. Lakshmi Varshika, Anup Das
2022 B conf
CARLsim 6: An Open Source Library for Large-Scale, Biologically Detailed Spiking Neural Network Simulation.
IJCNN
Lars Niedermeier, Kexin Chen, Jinwei Xing, Anup Das, Jeffrey Kopsick, Eric Scott, Nate Sutton, Killian Weber, Nikil D. Dutt, Jeffrey L. Krichmar
2022 J jnl
DFSynthesizer: Dataflow-based Synthesis of Spiking Neural Networks to Neuromorphic Hardware.
ACM Trans. Embed. Comput. Syst.
Shihao Song, Harry Chong, Adarsha Balaji, Anup Das, James A. Shackleford, Nagarajan Kandasamy
2022 A conf
Design of Many-Core Big Little µBrains for Energy-Efficient Embedded Neuromorphic Computing.
DATE
M. Lakshmi Varshika, Adarsha Balaji, Federico Corradi, Anup Das, Jan Stuijt, Francky Catthoor
2022 J jnl
Design-Technology Co-Optimization for NVM-Based Neuromorphic Processing Elements.
ACM Trans. Embed. Comput. Syst.
Shihao Song, Adarsha Balaji, Anup Das, Nagarajan Kandasamy
2022 J jnl
Design-Technology Co-Optimization for NVM-based Neuromorphic Processing Elements.
CoRR
Shihao Song, Adarsha Balaji, Anup Das, Nagarajan Kandasamy
2022 J jnl
Endurance-Aware Mapping of Spiking Neural Networks to Neuromorphic Hardware.
IEEE Trans. Parallel Distributed Syst.
Twisha Titirsha, Shihao Song, Anup Das, Jeffrey L. Krichmar, Nikil D. Dutt, Nagarajan Kandasamy, Francky Catthoor
2022 J jnl
Energy-Efficient Respiratory Anomaly Detection in Premature Newborn Infants.
CoRR
Ankita Paul, Md Abu Saleh Tajin, Anup Das, William M. Mongan, Kapil R. Dandekar
2022 J jnl
Implementing Spiking Neural Networks on Neuromorphic Architectures: A Review.
CoRR
Phu Khanh Huynh, M. Lakshmi Varshika, Ankita Paul, Murat Isik, Adarsha Balaji, Anup Das
2022 B conf
Learning in Feedback-driven Recurrent Spiking Neural Networks using full-FORCE Training.
IJCNN
Ankita Paul, Stefan Wagner, Anup Das
2022 J jnl
Learning in Feedback-driven Recurrent Spiking Neural Networks using full-FORCE Training.
CoRR
Ankita Paul, Stefan Wagner, Anup Das
2022 B conf
Multiscale Voxel Based Decoding For Enhanced Natural Image Reconstruction From Brain Activity.
IJCNN
Mali Halac, Murat Isik, Hasan Ayaz, Anup Das
2022 J jnl
Multiscale Voxel Based Decoding For Enhanced Natural Image Reconstruction From Brain Activity.
CoRR
Mali Halac, Murat Isik, Hasan Ayaz, Anup Das
2022 J jnl
On the Mitigation of Read Disturbances in Neuromorphic Inference Hardware.
CoRR
Ankita Paul, Shihao Song, Twisha Titirsha, Anup Das
2022 C conf
Real-Time Scheduling of Machine Learning Operations on Heterogeneous Neuromorphic SoC.
MEMOCODE
Anup Das
2022 J jnl
Real-Time Scheduling of Machine Learning Operations on Heterogeneous Neuromorphic SoC.
CoRR
Anup Das
2021 A conf
A Design Flow for Mapping Spiking Neural Networks to Many-Core Neuromorphic Hardware.
ICCAD
Shihao Song, M. Lakshmi Varshika, Anup Das, Nagarajan Kandasamy
2021 J jnl
A Design Flow for Mapping Spiking Neural Networks to Many-Core Neuromorphic Hardware.
CoRR
Shihao Song, M. Lakshmi Varshika, Anup Das, Nagarajan Kandasamy
2021 — conf
Aging-Aware Request Scheduling for Non-Volatile Main Memory.
ASP-DAC
Shihao Song, Anup Das, Onur Mutlu, Nagarajan Kandasamy
2021 A conf
Automated Generation of Integrated Digital and Spiking Neuromorphic Machine Learning Accelerators.
ICCAD
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
2021 J jnl
DFSynthesizer: Dataflow-based Synthesis of Spiking Neural Networks to Neuromorphic Hardware.
CoRR
Shihao Song, Harry Chong, Adarsha Balaji, Anup Das, James A. Shackleford, Nagarajan Kandasamy
2021 — conf
Design Technology Co-Optimization for Neuromorphic Computing.
IGSC (Workshops)
Ankita Paul, Shihao Song, Anup Das
2021 J jnl
Design Technology Co-Optimization for Neuromorphic Computing.
CoRR
Ankita Paul, Shihao Song, Anup Das
2021 J jnl
Design of Many-Core Big Little μBrain for Energy-Efficient Embedded Neuromorphic Computing.
CoRR
M. Lakshmi Varshika, Adarsha Balaji, Federico Corradi, Anup Das, Jan Stuijt, Francky Catthoor
2021 J jnl
Dynamic Reliability Management in Neuromorphic Computing.
CoRR
Shihao Song, Jui Hanamshet, Adarsha Balaji, Anup Das, Jeffrey L. Krichmar, Nikil D. Dutt, Nagarajan Kandasamy, Francky Catthoor
2021 J jnl
Dynamic Reliability Management in Neuromorphic Computing.
ACM J. Emerg. Technol. Comput. Syst.
Shihao Song, Jui Hanamshet, Adarsha Balaji, Anup Das, Jeffrey L. Krichmar, Nikil D. Dutt, Nagarajan Kandasamy, Francky Catthoor
2021 J jnl
Enabling Resource-Aware Mapping of Spiking Neural Networks via Spatial Decomposition.
IEEE Embed. Syst. Lett.
Adarsha Balaji, Shihao Song, Anup Das, Jeffrey L. Krichmar, Nikil D. Dutt, James A. Shackleford, Nagarajan Kandasamy, Francky Catthoor
2021 J jnl
Endurance-Aware Mapping of Spiking Neural Networks to Neuromorphic Hardware.
CoRR
Twisha Titirsha, Shihao Song, Anup Das, Jeffrey L. Krichmar, Nikil D. Dutt, Nagarajan Kandasamy, Francky Catthoor
2021 — conf
Improving Inference Lifetime of Neuromorphic Systems via Intelligent Synapse Mapping.
ASAP
Shihao Song, Twisha Titirsha, Anup Das
2021 J jnl
Improving Inference Lifetime of Neuromorphic Systems via Intelligent Synapse Mapping.
CoRR
Shihao Song, Twisha Titirsha, Anup Das
2021 J jnl
Motif Identification using CNN-based Pairwise Subsequence Alignment Score Prediction.
CoRR
Ethan Jacob Moyer, Anup Das
2021 — conf
NeuroXplorer 1.0: An Extensible Framework for Architectural Exploration with Spiking Neural Networks.
ICONS
Adarsha Balaji, Shihao Song, Twisha Titirsha, Anup Das, Jeffrey L. Krichmar, Nikil D. Dutt, James A. Shackleford, Nagarajan Kandasamy, Francky Catthoor
2021 J jnl
NeuroXplorer 1.0: An Extensible Framework for Architectural Exploration with Spiking Neural Networks.
CoRR
Adarsha Balaji, Shihao Song, Twisha Titirsha, Anup Das, Jeffrey L. Krichmar, Nikil D. Dutt, James A. Shackleford, Nagarajan Kandasamy, Francky Catthoor
2021 J jnl
On the Role of System Software in Energy Management of Neuromorphic Computing.
CoRR
Twisha Titirsha, Shihao Song, Adarsha Balaji, Anup Das
2021 — conf
On the role of system software in energy management of neuromorphic computing.
CF
Twisha Titirsha, Shihao Song, Adarsha Balaji, Anup Das
2021 Misc conf
Special Session: Reliability Analysis for AI/ML Hardware.
VTS
Shamik Kundu, Kanad Basu, Mehdi Sadi, Twisha Titirsha, Shihao Song, Anup Das, Ujjwal Guin
2021 J jnl
Special Session: Reliability Analysis for ML/AI Hardware.
CoRR
Shamik Kundu, Kanad Basu, Mehdi Sadi, Twisha Titirsha, Shihao Song, Anup Das, Ujjwal Guin
2020 — conf
A Case for Lifetime Reliability-Aware Neuromorphic Computing.
MWSCAS
Shihao Song, Anup Das
2020 J jnl
A Case for Lifetime Reliability-Aware Neuromorphic Computing.
CoRR
Shihao Song, Anup Das
2020 J jnl
Aging-Aware Request Scheduling for Non-Volatile Main Memory.
CoRR
Shihao Song, Anup Das, Onur Mutlu, Nagarajan Kandasamy
2020 — conf
Compiling Spiking Neural Networks to Mitigate Neuromorphic Hardware Constraints.
IGSC (Workshops)
Adarsha Balaji, Anup Das
2020 J jnl
Compiling Spiking Neural Networks to Mitigate Neuromorphic Hardware Constraints.
CoRR
Adarsha Balaji, Anup Das
2020 B conf
Compiling Spiking Neural Networks to Neuromorphic Hardware.
LCTES
Shihao Song, Adarsha Balaji, Anup Das, Nagarajan Kandasamy, James A. Shackleford
2020 J jnl
Compiling Spiking Neural Networks to Neuromorphic Hardware.
CoRR
Shihao Song, Adarsha Balaji, Anup Das, Nagarajan Kandasamy, James A. Shackleford
2020 — conf
Design Methodologies for Reliable and Energy-efficient PCM Systems.
IGSC (Workshops)
Shihao Song, Anup Das
2020 J jnl
Design Methodologies for Reliable and Energy-efficient PCM Systems.
CoRR
Shihao Song, Anup Das
2020 J jnl
Enabling Resource-Aware Mapping of Spiking Neural Networks via Spatial Decomposition.
CoRR
Adarsha Balaji, Shihao Song, Anup Das, Jeffrey L. Krichmar, Nikil D. Dutt, James A. Shackleford, Nagarajan Kandasamy, Francky Catthoor
2020 J jnl
Exploiting Inter- and Intra-Memory Asymmetries for Data Mapping in Hybrid Tiered-Memories.
CoRR
Shihao Song, Anup Das, Nagarajan Kandasamy
2020 C conf
Exploiting inter- and intra-memory asymmetries for data mapping in hybrid tiered-memories.
ISMM
Shihao Song, Anup Das, Nagarajan Kandasamy
2020 Misc conf
Improving Dependability of Neuromorphic Computing With Non-Volatile Memory.
EDCC
Shihao Song, Anup Das, Nagarajan Kandasamy
2020 J jnl
Improving Dependability of Neuromorphic Computing With Non-Volatile Memory.
CoRR
Shihao Song, Anup Das, Nagarajan Kandasamy
2020 J jnl
Improving Phase Change Memory Performance with Data Content Aware Access.
CoRR
Shihao Song, Anup Das, Onur Mutlu, Nagarajan Kandasamy
2020 C conf
Improving phase change memory performance with data content aware access.
ISMM
Shihao Song, Anup Das, Onur Mutlu, Nagarajan Kandasamy
2020 J jnl
Machine learning applications to DNA subsequence and restriction site analysis.
CoRR
Ethan Jacob Moyer, Anup Das
2020 J jnl
Mapping Spiking Neural Networks to Neuromorphic Hardware.
IEEE Trans. Very Large Scale Integr. Syst.
Adarsha Balaji, Francky Catthoor, Anup Das, Yuefeng Wu, Khanh Huynh, Francesco Dell'Anna, Giacomo Indiveri, Jeffrey L. Krichmar, Nikil D. Dutt, Siebren Schaafsma
2020 B conf
PyCARL: A PyNN Interface for Hardware-Software Co-Simulation of Spiking Neural Network.
IJCNN
Adarsha Balaji, Prathyusha Adiraju, Hirak Jyoti Kashyap, Anup Das, Jeffrey L. Krichmar, Nikil D. Dutt, Francky Catthoor
2020 J jnl
PyCARL: A PyNN Interface for Hardware-Software Co-Simulation of Spiking Neural Network.
CoRR
Adarsha Balaji, Prathyusha Adiraju, Hirak Jyoti Kashyap, Anup Das, Jeffrey L. Krichmar, Nikil D. Dutt, Francky Catthoor
2020 — conf
Reliability-Performance Trade-offs in Neuromorphic Computing.
IGSC (Workshops)
Twisha Titirsha, Anup Das
2020 J jnl
Reliability-Performance Trade-offs in Neuromorphic Computing.
CoRR
Twisha Titirsha, Anup Das
2020 J jnl
Run-time Mapping of Spiking Neural Networks to Neuromorphic Hardware.
CoRR
Adarsha Balaji, Thibaut Marty, Anup Das, Francky Catthoor
2020 J jnl
Run-time Mapping of Spiking Neural Networks to Neuromorphic Hardware.
J. Signal Process. Syst.
Adarsha Balaji, Thibaut Marty, Anup Das, Francky Catthoor
2020 — conf
Thermal-Aware Compilation of Spiking Neural Networks to Neuromorphic Hardware.
LCPC
Twisha Titirsha, Anup Das
2020 J jnl
Thermal-Aware Compilation of Spiking Neural Networks to Neuromorphic Hardware.
CoRR
Twisha Titirsha, Anup Das
2019 — conf
A Framework for the Analysis of Throughput-Constraints of SNNs on Neuromorphic Hardware.
ISVLSI
Adarsha Balaji, Anup Das
2019 J jnl
A Framework to Explore Workload-Specific Performance and Lifetime Trade-offs in Neuromorphic Computing.
IEEE Comput. Archit. Lett.
Adarsha Balaji, Shihao Song, Anup Das, Nikil D. Dutt, Jeff Krichmar, Nagarajan Kandasamy, Francky Catthoor
2019 J jnl
A Framework to Explore Workload-Specific Performance and Lifetime Trade-offs in Neuromorphic Computing.
CoRR
Adarsha Balaji, Shihao Song, Anup Das, Nikil D. Dutt, Jeffrey L. Krichmar, Nagarajan Kandasamy, Francky Catthoor
2019 — conf
Design Methodology for Embedded Approximate Artificial Neural Networks.
ACM Great Lakes Symposium on VLSI
Adarsha Balaji, Salim Ullah, Anup Das, Akash Kumar
2019 J jnl
Enabling and Exploiting Partition-Level Parallelism (PALP) in Phase Change Memories.
CoRR
Shihao Song, Anup Das, Onur Mutlu, Nagarajan Kandasamy
2019 J jnl
Enabling and Exploiting Partition-Level Parallelism (PALP) in Phase Change Memories.
ACM Trans. Embed. Comput. Syst.
Shihao Song, Anup Das, Onur Mutlu, Nagarajan Kandasamy
2019 — conf
Exploration of Segmented Bus As Scalable Global Interconnect for Neuromorphic Computing.
ACM Great Lakes Symposium on VLSI
Adarsha Balaji, Yuefeng Wu, Anup Das, Francky Catthoor, Siebren Schaafsma
2019 J jnl
Heartbeat Classification in Wearables Using Multi-layer Perceptron and Time-Frequency Joint Distribution of ECG.
CoRR
Anup Das, Francky Catthoor, Siebren Schaafsma
2019 J jnl
Mapping Spiking Neural Networks to Neuromorphic Hardware.
CoRR
Adarsha Balaji, Anup Das, Yuefeng Wu, Khanh Huynh, Francesco Dell'Anna, Giacomo Indiveri, Jeffrey L. Krichmar, Nikil D. Dutt, Siebren Schaafsma, Francky Catthoor
2019 J jnl
Mapping of Local and Global Synapses on Spiking Neuromorphic Hardware.
CoRR
Anup Das, Yuefeng Wu, Khanh Huynh, Francesco Dell'Anna, Francky Catthoor, Siebren Schaafsma
2018 — conf
Dataflow-Based Mapping of Spiking Neural Networks on Neuromorphic Hardware.
ACM Great Lakes Symposium on VLSI
Anup Das, Akash Kumar
2018 J jnl
Energy-Efficient Mapping of LTE-A PHY Signal Processing Tasks on Microservers.
IEEE Trans. Green Commun. Netw.
Anup Das, Francky Catthoor, André Bourdoux, Bert Gyselinckx
2018 — conf
Graceful Performance Adaption through Hardware-Software Interaction for Autonomous Battery Management of Multicore Smartphones.
IGSC
Anup Das, Domenico Balsamo, Geoff V. Merrett, Bashir M. Al-Hashimi, Francky Catthoor
2018 A conf
Mapping of local and global synapses on spiking neuromorphic hardware.
DATE
Anup Das, Yuefeng Wu, Khanh Huynh, Francesco Dell'Anna, Francky Catthoor, Siebren Schaafsma
2018 J jnl
Power-Accuracy Trade-Offs for Heartbeat Classification on Neural Networks Hardware.
J. Low Power Electron.
Adarsha Balaji, Federico Corradi, Anup Das, Sandeep Pande, Siebren Schaafsma, Francky Catthoor
2018 J jnl
Reference-free Calibration in Sensor Networks.
CoRR
Raj Thilak Rajan, Rob van Schaijk, Anup Das, Jac Romme, Frank J. Pasveer
2018 J jnl
Unsupervised heart-rate estimation in wearables with Liquid states and a probabilistic readout.
Neural Networks
Anup Das, Paruthi Pradhapan, Willemijn Groenendaal, Prathyusha Adiraju, Raj Thilak Rajan, Francky Catthoor, Siebren Schaafsma, Jeffrey L. Krichmar, Nikil D. Dutt, Chris Van Hoof
2018 A* conf
VRL-DRAM: improving DRAM performance via variable refresh latency.
DAC
Anup Das, Hasan Hassan, Onur Mutlu
2017 J jnl
Accurate and Stable Run-Time Power Modeling for Mobile and Embedded CPUs.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst.
Matthew J. Walker, Stephan Diestelhorst, Andreas Hansson, Anup Das, Sheng Yang, Bashir M. Al-Hashimi, Geoff V. Merrett
2017 J jnl
Unsupervised Heart-rate Estimation in Wearables With Liquid States and A Probabilistic Readout.
CoRR
Anup Das, Paruthi Pradhapan, Willemijn Groenendaal, Prathyusha Adiraju, Raj Thilak Rajan, Francky Catthoor, Siebren Schaafsma, Jeffrey L. Krichmar, Nikil D. Dutt, Chris Van Hoof
2016 J jnl
Adaptive and Hierarchical Runtime Manager for Energy-Aware Thermal Management of Embedded Systems.
ACM Trans. Embed. Comput. Syst.
Anup Das, Bashir M. Al-Hashimi, Geoff V. Merrett
2016 J jnl
Graceful Performance Modulation for Power-Neutral Transient Computing Systems.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst.
Domenico Balsamo, Anup Das, Alex S. Weddell, Davide Brunelli, Bashir M. Al-Hashimi, Geoff V. Merrett, Luca Benini
2016 J jnl
Hibernus++: A Self-Calibrating and Adaptive System for Transiently-Powered Embedded Devices.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst.
Domenico Balsamo, Alex S. Weddell, Anup Das, Alberto Rodriguez Arreola, Davide Brunelli, Bashir M. Al-Hashimi, Geoff V. Merrett, Luca Benini
2016 J jnl
Learning Transfer-Based Adaptive Energy Minimization in Embedded Systems.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst.
Rishad A. Shafik, Sheng Yang, Anup Das, Luis Alfonso Maeda-Nunez, Geoff V. Merrett, Bashir M. Al-Hashimi
2016 J jnl
Reliability and Energy-Aware Mapping and Scheduling of Multimedia Applications on Multiprocessor Systems.
IEEE Trans. Parallel Distributed Syst.
Anup Das, Akash Kumar, Bharadwaj Veeravalli
2016 A conf
The slowdown or race-to-idle question: Workload-aware energy optimization of SMT multicore platforms under process variation.
DATE
Anup Das, Geoff V. Merrett, Bashir M. Al-Hashimi
2016 J jnl
Workload Change Point Detection for Runtime Thermal Management of Embedded Systems.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst.
Anup Das, Geoff V. Merrett, Mirco Tribastone, Bashir M. Al-Hashimi
2015 — conf
Adaptive Energy Minimization of OpenMP Parallel Applications on Many-Core Systems.
PARMA-DITAM@HiPEAC
Rishad A. Shafik, Anup Das, Sheng Yang, Geoff V. Merrett, Bashir M. Al-Hashimi
2015 J jnl
Autonomous Soft-Error Tolerance of FPGA Configuration Bits.
ACM Trans. Reconfigurable Technol. Syst.
Anup Das, Shyamsundar Venkataraman, Akash Kumar
2015 J jnl
Execution Trace-Driven Energy-Reliability Optimization for Multimedia MPSoCs.
ACM Trans. Reconfigurable Technol. Syst.
Anup Das, Amit Kumar Singh, Akash Kumar
2015 A conf
Hardware-software interaction for run-time power optimization: A case study of embedded Linux on multicore smartphones.
ISLPED
Anup Das, Matthew J. Walker, Andreas Hansson, Bashir M. Al-Hashimi, Geoff V. Merrett
2015 A conf
Workload uncertainty characterization and adaptive frequency scaling for energy minimization of embedded systems.
DATE
Anup Das, Akash Kumar, Bharadwaj Veeravalli, Rishad Ahmed Shafik, Geoff V. Merrett, Bashir M. Al-Hashimi
2014 B conf
A bit-interleaved embedded hamming scheme to correct single-bit and multi-bit upsets for SRAM-based FPGAs.
FPL
Shyamsundar Venkataraman, Rui Santos, Anup Das, Akash Kumar
2014 — conf
Artificial intelligence based task mapping and pipelined scheduling for checkpointing on real time systems with imperfect fault detection.
DFT
Anup Das, Akash Kumar, Bharadwaj Veeravalli
2014 A conf
Combined DVFS and mapping exploration for lifetime and soft-error susceptibility improvement in MPSoCs.
DATE
Anup Das, Akash Kumar, Bharadwaj Veeravalli, Cristiana Bolchini, Antonio Miele
2014 J jnl
Communication and migration energy aware task mapping for reliable multiprocessor systems.
Future Gener. Comput. Syst.
Anup Das, Akash Kumar, Bharadwaj Veeravalli
2014 B conf
Criticality-aware scrubbing mechanism for SRAM-based FPGAs.
FPL
Rui Santos, Shyamsundar Venkataraman, Anup Das, Akash Kumar
2014 J jnl
Energy-aware task mapping and scheduling for reliable embedded computing systems.
ACM Trans. Embed. Comput. Syst.
Anup Das, Akash Kumar, Bharadwaj Veeravalli
2014 A* conf
Reinforcement Learning-Based Inter- and Intra-Application Thermal Optimization for Lifetime Improvement of Multicore Systems.
DAC
Anup Das, Rishad A. Shafik, Geoff V. Merrett, Bashir M. Al-Hashimi, Akash Kumar, Bharadwaj Veeravalli
2014 A conf
Temperature aware energy-reliability trade-offs for mapping of throughput-constrained applications on multimedia MPSoCs.
DATE
Anup Das, Akash Kumar, Bharadwaj Veeravalli
2013 Misc conf
Aging-aware hardware-software task partitioning for reliable reconfigurable multiprocessor systems.
CASES
Anup Das, Akash Kumar, Bharadwaj Veeravalli
2013 A conf
Communication and migration energy aware design space exploration for multicore systems with intermittent faults.
DATE
Anup Das, Akash Kumar, Bharadwaj Veeravalli
2013 A* conf
Energy optimization by exploiting execution slacks in streaming applications on multiprocessor systems.
DAC
Amit Kumar Singh, Anup Das, Akash Kumar
2013 — conf
Energy-aware dynamic reconfiguration of communication-centric applications for reliable MPSoCs.
ReCoSoC
Anup Das, Amit Kumar Singh, Akash Kumar
2013 B conf
Improving autonomous soft-error tolerance of FPGA through LUT configuration bit manipulation.
FPL
Anup Das, Shyamsundar Venkataraman, Akash Kumar
2013 C conf
RAPIDITAS: RAPId Design-Space-Exploration Incorporating Trace-Based Analysis and Simulation.
DSD
Amit Kumar Singh, Anup Das, Akash Kumar
2013 A conf
Reliability-driven task mapping for lifetime extension of networks-on-chip based multiprocessor systems.
DATE
Anup Das, Akash Kumar, Bharadwaj Veeravalli
2013 — conf
Run-time mapping for reliable many-cores based on energy/performance trade-offs.
DFTS
Cristiana Bolchini, Matteo Carminati, Antonio Miele, Anup Das, Akash Kumar, Bharadwaj Veeravalli
2012 C conf
A design flow for partially reconfigurable heterogeneous multi-processor platforms.
RSP
Jiashu Li, Anup Das, Akash Kumar
2012 B conf
Energy-Aware Communication and Remapping of Tasks for Reliable Multimedia Multiprocessor Systems.
ICPADS
Anup Das, Akash Kumar, Bharadwaj Veeravalli
2012 C conf
Fault-aware task re-mapping for throughput constrained multimedia applications on NoC-based MPSoCs.
RSP
Anup Das, Akash Kumar
2012 — conf
Fault-tolerant network interface for spatial division multiplexing based Network-on-Chip.
ReCoSoC
Anup Das, Akash Kumar, Bharadwaj Veeravalli
2012 C conf
Minimizing Power Consumption of Spatial Division Based Networks-on-Chip Using Multi-path and Frequency Reduction.
DSD
Sheng Hao Wang, Anup Das, Akash Kumar, Henk Corporaal
2010 C conf
A study on performance benefits of core morphing in an asymmetric multicore processor.
ICCD
Anup Das, Rance Rodrigues, Israel Koren, Sandip Kundu