Anup Das

According to our database, Anup Das authored at least 108 papers between 2010 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of two.

2024

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

Abhishek Kumar Mishra, Mohammad Ershad Shaik, Anush Niranjan Lingamoorthy, Suman Kumar, Anup Das, Nagarajan Kandasamy, Nur A. Touba

Proceedings of the 42nd IEEE VLSI Test Symposium, 2024

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

Shadi Matinizadeh, Arghavan Mohammadhassani, Noah Pacik-Nelson, Ioannis Polykretis, Abhishek Kumar Mishra, James A. Shackleford, Nagarajan Kandasamy, Eric M. Gallo, Anup Das

Proceedings of the 67th IEEE International Midwest Symposium on Circuits and Systems, 2024

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

Sarah Johari, Arghavan Mohammadhassani, M. Lakshmi Varshika, Anup Das

Proceedings of the 67th IEEE International Midwest Symposium on Circuits and Systems, 2024

Wafer2Spike: Spiking Neural Network for Wafer Map Pattern Classification.

Abhishek Kumar Mishra, Suman Kumar, Anush Niranjan Lingamoorthy, Anup Das, Nagarajan Kandasamy

Proceedings of the IEEE International Test Conference, 2024

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

Ankita Paul, Nagarajan Kandasamy, Kapil R. Dandekar, Anup Das

Proceedings of the International Joint Conference on Neural Networks, 2024

Neuromorphic Computing for the Masses.

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

Proceedings of the International Conference on Neuromorphic Systems, 2024

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

Ankita Paul, Anup Das

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2024, 2024

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

Ankita Paul, Anup Das

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2024, 2024

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

Shadi Matinizadeh, Anup Das

Proceedings of the 34th International Conference on Field-Programmable Logic and Applications, 2024

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

Shadi Matinizadeh, Sarah Johari, Arghavan Mohammadhassani, Anup Das

Proceedings of the IEEE International Symposium on Defect and Fault Tolerance in VLSI and Nanotechnology Systems, 2024

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

Ilknur Mustafazade, Nagarajan Kandasamy, Anup Das

Proceedings of the 21st ACM International Conference on Computing Frontiers, 2024

2023

On the Mitigation of Read Disturbances in Neuromorphic Inference Hardware.

Ankita Paul, Shihao Song, Twisha Titirsha, Anup Das

IEEE Des. Test, April, 2023

NeuSB: A Scalable Interconnect Architecture for Spiking Neuromorphic Hardware.

Adarsha Balaji, Phu Khanh Huynh, Francky Catthoor, Nikil D. Dutt, Jeffrey L. Krichmar, Anup Das

IEEE Trans. Emerg. Top. Comput., 2023

ACM TECS Special Issue on Embedded System Security Tutorials.

Aviral Shrivastava, Jian-Jia Chen, Akash Kumar, Anup Das

ACM Trans. Embed. Comput. Syst., 2023

FPGA Implementation of OTFS Modulation for 6G Communication Systems.

Murat Isik, Malvin Nkomo, Anup Das, Kapil R. Dandekar

CoRR, 2023

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

Arghavan Mohammadhassani, Anup Das

Proceedings of the ACM International Workshop on System-Level Interconnect Pathfinding, 2023

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

M. Lakshmi Varshika, Sarah Johari, Jayanth Dubey, Anup Das

Proceedings of the 66th IEEE International Midwest Symposium on Circuits and Systems, 2023

Online Performance Monitoring of Neuromorphic Computing Systems.

Abhishek Kumar Mishra, Anup Das, Nagarajan Kandasamy

Proceedings of the IEEE European Test Symposium, 2023

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

Anup Das

Proceedings of the 47th IEEE Annual Computers, Software, and Applications Conference, 2023

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

M. Lakshmi Varshika, Abhishek Kumar Mishra, Nagarajan Kandasamy, Anup Das

Proceedings of the 28th Asia and South Pacific Design Automation Conference, 2023

2022

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

Shihao Song, Adarsha Balaji, Anup Das, Nagarajan Kandasamy

ACM Trans. Embed. Comput. Syst., November, 2022

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

Twisha Titirsha, Shihao Song, Anup Das, Jeffrey L. Krichmar, Nikil D. Dutt, Nagarajan Kandasamy, Francky Catthoor

IEEE Trans. Parallel Distributed Syst., 2022

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

Shihao Song, Harry Chong, Adarsha Balaji, Anup Das, James A. Shackleford, Nagarajan Kandasamy

ACM Trans. Embed. Comput. Syst., 2022

A Coupled Neural Circuit Design for Guillain-Barre Syndrome.

Oguzhan Derebasi, Murat Isik, Oguzhan Demirag, Dilek Göksel Duru, Anup Das

CoRR, 2022

Energy-Efficient Respiratory Anomaly Detection in Premature Newborn Infants.

Ankita Paul, Md Abu Saleh Tajin, Anup Das, William M. Mongan, Kapil R. Dandekar

CoRR, 2022

Implementing Spiking Neural Networks on Neuromorphic Architectures: A Review.

Phu Khanh Huynh, M. Lakshmi Varshika, Ankita Paul, Murat Isik, Adarsha Balaji, Anup Das

CoRR, 2022

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

Anup Das

Proceedings of the 20th ACM-IEEE International Conference on Formal Methods and Models for System Design, 2022

Learning in Feedback-driven Recurrent Spiking Neural Networks using full-FORCE Training.

Ankita Paul, Stefan Wagner, Anup Das

Proceedings of the International Joint Conference on Neural Networks, 2022

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

Lars Niedermeier, Kexin Chen, Jinwei Xing, Anup Das, Jeffrey Kopsick, Eric Scott, Nate Sutton, Killian Weber, Nikil D. Dutt, Jeffrey L. Krichmar

Proceedings of the International Joint Conference on Neural Networks, 2022

Multiscale Voxel Based Decoding For Enhanced Natural Image Reconstruction From Brain Activity.

Mali Halac, Murat Isik, Hasan Ayaz, Anup Das

Proceedings of the International Joint Conference on Neural Networks, 2022

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

M. Lakshmi Varshika, Adarsha Balaji, Federico Corradi, Anup Das, Jan Stuijt, Francky Catthoor

Proceedings of the 2022 Design, Automation & Test in Europe Conference & Exhibition, 2022

A design methodology for fault-tolerant computing using astrocyte neural networks.

Murat Isik, Ankita Paul, M. Lakshmi Varshika, Anup Das

Proceedings of the CF '22: 19th ACM International Conference on Computing Frontiers, Turin, Italy, May 17, 2022

2021

Dynamic Reliability Management in Neuromorphic Computing.

Shihao Song, Jui Hanamshet, Adarsha Balaji, Anup Das, Jeffrey L. Krichmar, Nikil D. Dutt, Nagarajan Kandasamy, Francky Catthoor

ACM J. Emerg. Technol. Comput. Syst., 2021

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

Adarsha Balaji, Shihao Song, Anup Das, Jeffrey L. Krichmar, Nikil D. Dutt, James A. Shackleford, Nagarajan Kandasamy, Francky Catthoor

IEEE Embed. Syst. Lett., 2021

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

M. Lakshmi Varshika, Adarsha Balaji, Federico Corradi, Anup Das, Jan Stuijt, Francky Catthoor

CoRR, 2021

Special Session: Reliability Analysis for ML/AI Hardware.

Shamik Kundu, Kanad Basu, Mehdi Sadi, Twisha Titirsha, Shihao Song, Anup Das, Ujjwal Guin

CoRR, 2021

Motif Identification using CNN-based Pairwise Subsequence Alignment Score Prediction.

Ethan Jacob Moyer, Anup Das

CoRR, 2021

Special Session: Reliability Analysis for AI/ML Hardware.

Shamik Kundu, Kanad Basu, Mehdi Sadi, Twisha Titirsha, Shihao Song, Anup Das, Ujjwal Guin

Proceedings of the 39th IEEE VLSI Test Symposium, 2021

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

Adarsha Balaji, Shihao Song, Twisha Titirsha, Anup Das, Jeffrey L. Krichmar, Nikil D. Dutt, James A. Shackleford, Nagarajan Kandasamy, Francky Catthoor

Proceedings of the ICONS 2021: International Conference on Neuromorphic Systems 2021, 2021

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

Shihao Song, M. Lakshmi Varshika, Anup Das, Nagarajan Kandasamy

Proceedings of the IEEE/ACM International Conference On Computer Aided Design, 2021

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

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

Proceedings of the IEEE/ACM International Conference On Computer Aided Design, 2021

Design Technology Co-Optimization for Neuromorphic Computing.

Ankita Paul, Shihao Song, Anup Das

Proceedings of the 12th International Green and Sustainable Computing Workshops, 2021

On the role of system software in energy management of neuromorphic computing.

Twisha Titirsha, Shihao Song, Adarsha Balaji, Anup Das

Proceedings of the CF '21: Computing Frontiers Conference, 2021

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

Shihao Song, Anup Das, Onur Mutlu, Nagarajan Kandasamy

Proceedings of the ASPDAC '21: 26th Asia and South Pacific Design Automation Conference, 2021

Improving Inference Lifetime of Neuromorphic Systems via Intelligent Synapse Mapping.

Shihao Song, Twisha Titirsha, Anup Das

Proceedings of the 32nd IEEE International Conference on Application-specific Systems, 2021

2020

Run-time Mapping of Spiking Neural Networks to Neuromorphic Hardware.

Adarsha Balaji, Thibaut Marty, Anup Das, Francky Catthoor

J. Signal Process. Syst., 2020

Mapping Spiking Neural Networks to Neuromorphic Hardware.

Adarsha Balaji, Francky Catthoor, Anup Das, Yuefeng Wu, Khanh Huynh, Francesco Dell'Anna, Giacomo Indiveri, Jeffrey L. Krichmar, Nikil D. Dutt, Siebren Schaafsma

IEEE Trans. Very Large Scale Integr. Syst., 2020

Machine learning applications to DNA subsequence and restriction site analysis.

Ethan Jacob Moyer, Anup Das

CoRR, 2020

A Case for Lifetime Reliability-Aware Neuromorphic Computing.

Shihao Song, Anup Das

Proceedings of the 63rd IEEE International Midwest Symposium on Circuits and Systems, 2020

Compiling Spiking Neural Networks to Neuromorphic Hardware.

Shihao Song, Adarsha Balaji, Anup Das, Nagarajan Kandasamy, James A. Shackleford

Proceedings of the 21st ACM SIGPLAN/SIGBED International Conference on Languages, 2020

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

Twisha Titirsha, Anup Das

Proceedings of the Languages and Compilers for Parallel Computing, 2020

Improving phase change memory performance with data content aware access.

Shihao Song, Anup Das, Onur Mutlu, Nagarajan Kandasamy

Proceedings of the ISMM '20: 2020 ACM SIGPLAN International Symposium on Memory Management, 2020

Exploiting inter- and intra-memory asymmetries for data mapping in hybrid tiered-memories.

Shihao Song, Anup Das, Nagarajan Kandasamy

Proceedings of the ISMM '20: 2020 ACM SIGPLAN International Symposium on Memory Management, 2020

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

Adarsha Balaji, Prathyusha Adiraju, Hirak Jyoti Kashyap, Anup Das, Jeffrey L. Krichmar, Nikil D. Dutt, Francky Catthoor

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Reliability-Performance Trade-offs in Neuromorphic Computing.

Twisha Titirsha, Anup Das

Proceedings of the 11th International Green and Sustainable Computing Workshops, 2020

Design Methodologies for Reliable and Energy-efficient PCM Systems.

Shihao Song, Anup Das

Proceedings of the 11th International Green and Sustainable Computing Workshops, 2020

Compiling Spiking Neural Networks to Mitigate Neuromorphic Hardware Constraints.

Adarsha Balaji, Anup Das

Proceedings of the 11th International Green and Sustainable Computing Workshops, 2020

Improving Dependability of Neuromorphic Computing With Non-Volatile Memory.

Shihao Song, Anup Das, Nagarajan Kandasamy

Proceedings of the 16th European Dependable Computing Conference, 2020

2019

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

Shihao Song, Anup Das, Onur Mutlu, Nagarajan Kandasamy

ACM Trans. Embed. Comput. Syst., 2019

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

Adarsha Balaji, Shihao Song, Anup Das, Nikil D. Dutt, Jeff Krichmar, Nagarajan Kandasamy, Francky Catthoor

IEEE Comput. Archit. Lett., 2019

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

Adarsha Balaji, Anup Das

Proceedings of the 2019 IEEE Computer Society Annual Symposium on VLSI, 2019

Exploration of Segmented Bus As Scalable Global Interconnect for Neuromorphic Computing.

Adarsha Balaji, Yuefeng Wu, Anup Das, Francky Catthoor, Siebren Schaafsma

Proceedings of the 2019 on Great Lakes Symposium on VLSI, 2019

Design Methodology for Embedded Approximate Artificial Neural Networks.

Adarsha Balaji, Salim Ullah, Anup Das, Akash Kumar

Proceedings of the 2019 on Great Lakes Symposium on VLSI, 2019

2018

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

Anup Das, Francky Catthoor, André Bourdoux, Bert Gyselinckx

IEEE Trans. Green Commun. Netw., 2018

Unsupervised heart-rate estimation in wearables with Liquid states and a probabilistic readout.

Anup Das, Paruthi Pradhapan, Willemijn Groenendaal, Prathyusha Adiraju, Raj Thilak Rajan, Francky Catthoor, Siebren Schaafsma, Jeffrey L. Krichmar, Nikil D. Dutt, Chris Van Hoof

Neural Networks, 2018

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

Adarsha Balaji, Federico Corradi, Anup Das, Sandeep Pande, Siebren Schaafsma, Francky Catthoor

J. Low Power Electron., 2018

Reference-free Calibration in Sensor Networks.

Raj Thilak Rajan, Rob van Schaijk, Anup Das, Jac Romme, Frank J. Pasveer

CoRR, 2018

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

Anup Das, Domenico Balsamo, Geoff V. Merrett, Bashir M. Al-Hashimi, Francky Catthoor

Proceedings of the Ninth International Green and Sustainable Computing Conference, 2018

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

Anup Das, Akash Kumar

Proceedings of the 2018 on Great Lakes Symposium on VLSI, 2018

Mapping of local and global synapses on spiking neuromorphic hardware.

Anup Das, Yuefeng Wu, Khanh Huynh, Francesco Dell'Anna, Francky Catthoor, Siebren Schaafsma

Proceedings of the 2018 Design, Automation & Test in Europe Conference & Exhibition, 2018

VRL-DRAM: improving DRAM performance via variable refresh latency.

Anup Das, Hasan Hassan, Onur Mutlu

Proceedings of the 55th Annual Design Automation Conference, 2018

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

Anup K. Das, Francky Catthoor, Siebren Schaafsma

Proceedings of the Third IEEE/ACM International Conference on Connected Health: Applications, 2018

2017

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

Matthew J. Walker, Stephan Diestelhorst, Andreas Hansson, Anup Das, Sheng Yang, Bashir M. Al-Hashimi, Geoff V. Merrett

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2017

2016

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

Anup Das, Akash Kumar, Bharadwaj Veeravalli

IEEE Trans. Parallel Distributed Syst., 2016

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

Anup Das, Bashir M. Al-Hashimi, Geoff V. Merrett

ACM Trans. Embed. Comput. Syst., 2016

Learning Transfer-Based Adaptive Energy Minimization in Embedded Systems.

Rishad A. Shafik, Sheng Yang, Anup Das, Luis Alfonso Maeda-Nunez, Geoff V. Merrett, Bashir M. Al-Hashimi

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2016

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

Domenico Balsamo, Alex S. Weddell, Anup Das, Alberto Rodriguez Arreola, Davide Brunelli, Bashir M. Al-Hashimi, Geoff V. Merrett, Luca Benini

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2016

Graceful Performance Modulation for Power-Neutral Transient Computing Systems.

Domenico Balsamo, Anup Das, Alex S. Weddell, Davide Brunelli, Bashir M. Al-Hashimi, Geoff V. Merrett, Luca Benini

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2016

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

Anup Das, Geoff V. Merrett, Mirco Tribastone, Bashir M. Al-Hashimi

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2016

The slowdown or race-to-idle question: Workload-aware energy optimization of SMT multicore platforms under process variation.

Anup Das, Geoff V. Merrett, Bashir M. Al-Hashimi

Proceedings of the 2016 Design, Automation & Test in Europe Conference & Exhibition, 2016

2015

Autonomous Soft-Error Tolerance of FPGA Configuration Bits.

Anup Das, Shyamsundar Venkataraman, Akash Kumar

ACM Trans. Reconfigurable Technol. Syst., 2015

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

Anup Das, Amit Kumar Singh, Akash Kumar

ACM Trans. Reconfigurable Technol. Syst., 2015

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

Alberto Rodriguez Arreola, Domenico Balsamo, Anup K. Das, Alex S. Weddell, Davide Brunelli, Bashir M. Al-Hashimi, Geoff V. Merrett

Proceedings of the 3rd International Workshop on Energy Harvesting & Energy Neutral Sensing Systems, 2015

Hardware-software interaction for run-time power optimization: A case study of embedded Linux on multicore smartphones.

Anup Das, Matthew J. Walker, Andreas Hansson, Bashir M. Al-Hashimi, Geoff V. Merrett

Proceedings of the IEEE/ACM International Symposium on Low Power Electronics and Design, 2015

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

Rishad A. Shafik, Anup Das, Sheng Yang, Geoff V. Merrett, Bashir M. Al-Hashimi

Proceedings of the 6th Workshop on Parallel Programming and Run-Time Management Techniques for Many-core Architectures and the 4th Workshop on Design Tools and Architectures for Multicore Embedded Computing Platforms, 2015

Workload uncertainty characterization and adaptive frequency scaling for energy minimization of embedded systems.

Anup Das, Akash Kumar, Bharadwaj Veeravalli, Rishad Ahmed Shafik, Geoff V. Merrett, Bashir M. Al-Hashimi

Proceedings of the 2015 Design, Automation & Test in Europe Conference & Exhibition, 2015

2014

Energy-aware task mapping and scheduling for reliable embedded computing systems.

Anup Das, Akash Kumar, Bharadwaj Veeravalli

ACM Trans. Embed. Comput. Syst., 2014

Communication and migration energy aware task mapping for reliable multiprocessor systems.

Anup Das, Akash Kumar, Bharadwaj Veeravalli

Future Gener. Comput. Syst., 2014

A bit-interleaved embedded hamming scheme to correct single-bit and multi-bit upsets for SRAM-based FPGAs.

Shyamsundar Venkataraman, Rui Santos, Anup Das, Akash Kumar

Proceedings of the 24th International Conference on Field Programmable Logic and Applications, 2014

Criticality-aware scrubbing mechanism for SRAM-based FPGAs.

Rui Santos, Shyamsundar Venkataraman, Anup Das, Akash Kumar

Proceedings of the 24th International Conference on Field Programmable Logic and Applications, 2014

Artificial intelligence based task mapping and pipelined scheduling for checkpointing on real time systems with imperfect fault detection.

Anup Das, Akash Kumar, Bharadwaj Veeravalli

Proceedings of the 2014 IEEE International Symposium on Defect and Fault Tolerance in VLSI and Nanotechnology Systems, 2014

Combined DVFS and mapping exploration for lifetime and soft-error susceptibility improvement in MPSoCs.

Anup Das, Akash Kumar, Bharadwaj Veeravalli, Cristiana Bolchini, Antonio Miele

Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2014

Temperature aware energy-reliability trade-offs for mapping of throughput-constrained applications on multimedia MPSoCs.

Anup Das, Akash Kumar, Bharadwaj Veeravalli

Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2014

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

Anup Das, Rishad A. Shafik, Geoff V. Merrett, Bashir M. Al-Hashimi, Akash Kumar, Bharadwaj Veeravalli

Proceedings of the 51st Annual Design Automation Conference 2014, 2014

2013

Energy-aware dynamic reconfiguration of communication-centric applications for reliable MPSoCs.

Anup Das, Amit Kumar Singh, Akash Kumar

Proceedings of the 2013 8th International Workshop on Reconfigurable and Communication-Centric Systems-on-Chip (ReCoSoC), 2013

Improving autonomous soft-error tolerance of FPGA through LUT configuration bit manipulation.

Anup Das, Shyamsundar Venkataraman, Akash Kumar

Proceedings of the 23rd International Conference on Field programmable Logic and Applications, 2013

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

Amit Kumar Singh, Anup Das, Akash Kumar

Proceedings of the 2013 Euromicro Conference on Digital System Design, 2013

Run-time mapping for reliable many-cores based on energy/performance trade-offs.

Cristiana Bolchini, Matteo Carminati, Antonio Miele, Anup Das, Akash Kumar, Bharadwaj Veeravalli

Proceedings of the 2013 IEEE International Symposium on Defect and Fault Tolerance in VLSI and Nanotechnology Systems, 2013

Communication and migration energy aware design space exploration for multicore systems with intermittent faults.

Anup Das, Akash Kumar, Bharadwaj Veeravalli

Proceedings of the Design, Automation and Test in Europe, 2013

Reliability-driven task mapping for lifetime extension of networks-on-chip based multiprocessor systems.

Anup Das, Akash Kumar, Bharadwaj Veeravalli

Proceedings of the Design, Automation and Test in Europe, 2013

Energy optimization by exploiting execution slacks in streaming applications on multiprocessor systems.

Amit Kumar Singh, Anup Das, Akash Kumar

Proceedings of the 50th Annual Design Automation Conference 2013, 2013

Aging-aware hardware-software task partitioning for reliable reconfigurable multiprocessor systems.

Anup Das, Akash Kumar, Bharadwaj Veeravalli

Proceedings of the International Conference on Compilers, 2013

2012

A design flow for partially reconfigurable heterogeneous multi-processor platforms.

Jiashu Li, Anup Das, Akash Kumar

Proceedings of the 23rd IEEE International Symposium on Rapid System Prototyping, 2012

Fault-aware task re-mapping for throughput constrained multimedia applications on NoC-based MPSoCs.

Anup Das, Akash Kumar

Proceedings of the 23rd IEEE International Symposium on Rapid System Prototyping, 2012

Fault-tolerant network interface for spatial division multiplexing based Network-on-Chip.

Anup Das, Akash Kumar, Bharadwaj Veeravalli

Proceedings of the 7th International Workshop on Reconfigurable and Communication-Centric Systems-on-Chip (ReCoSoC), 2012

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

Anup Das, Akash Kumar, Bharadwaj Veeravalli

Proceedings of the 18th IEEE International Conference on Parallel and Distributed Systems, 2012

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

Sheng Hao Wang, Anup Das, Akash Kumar, Henk Corporaal

Proceedings of the 15th Euromicro Conference on Digital System Design, 2012

2010

A study on performance benefits of core morphing in an asymmetric multicore processor.

Anup Das, Rance Rodrigues, Israel Koren, Sandip Kundu

Proceedings of the 28th International Conference on Computer Design, 2010