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ORCIDAnup Das 0001
Anup K. Das 0001
Person information
- affiliation: Drexel University, Philadelphia, PA, USA
- affiliation (former): IMEC Netherlands
- affiliation (former): University of Southampton, UK
- affiliation (former): National University of Singapore
Other persons with the same name
- Anup Das 0002 — University of Exeter, UK
- Anup Das 0003
![[0000-0002-5024-5159]](https://dblp.org/img/orcid-mark.12x12.png "0000-0002-5024-5159")
— Indian Space Research Organization, Ahmedabad, India - Anup Das 0004 — Salk Institute for Biological Studies, Computational Neurobiology Laboratory, La Jolla, CA, USA (and 1 more)
- Anup Das 0005 (aka: Anup Kumar Das 0001) — Jawaharlal Nehru University, Centre for Studies in Science Policy, India (and 1 more)
- Anup Das 0006 — University School of Medicine, Stanford, CA, USA
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2020 – today
- 2023
[j26]Ankita Paul, Shihao Song, Twisha Titirsha, Anup Das:
On the Mitigation of Read Disturbances in Neuromorphic Inference Hardware. IEEE Des. Test 40(2): 100-108 (2023)- [j25]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): 41:1-41:2 (2023) - [j24]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): 373-387 (2023) - [c62]M. Lakshmi Varshika, Abhishek Kumar Mishra, Nagarajan Kandasamy, Anup Das:
Hardware-Software Co-Design for On-Chip Learning in AI Systems. ASP-DAC 2023: 624-631 - [c61]Anup Das:
Preserving Privacy of Neuromorphic Hardware From PCIe Congestion Side-Channel Attack. COMPSAC 2023: 689-698 - [c60]Abhishek Kumar Mishra, Anup Das, Nagarajan Kandasamy:
Online Performance Monitoring of Neuromorphic Computing Systems. ETS 2023: 1-4 - [c59]M. Lakshmi Varshika, Sarah Johari, Jayanth Dubey, Anup Das:
Design of a Tunable Astrocyte Neuromorphic Circuitry with Adaptable Fault Tolerance. MWSCAS 2023: 904-908 - [c58]Arghavan Mohammadhassani, Anup Das:
Improving Performance of Network-on-Memory Architectures via (De-)/Compression-in-DRAM. SLIP 2023: 4:1-4:10 - [i42]Murat Isik, Malvin Nkomo, Anup Das, Kapil R. Dandekar:
FPGA Implementation of OTFS Modulation for 6G Communication Systems. CoRR abs/2310.09671 (2023) - 2022
- [j23]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): 27:1-27:35 (2022) - [j22]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): 77:1-77:27 (2022) - [j21]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): 288-301 (2022) - [c57]Murat Isik, Ankita Paul, M. Lakshmi Varshika, Anup Das:
A design methodology for fault-tolerant computing using astrocyte neural networks. CF 2022: 169-172 - [c56]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: 1011-1016 - [c55]Mali Halac, Murat Isik, Hasan Ayaz, Anup Das:
Multiscale Voxel Based Decoding For Enhanced Natural Image Reconstruction From Brain Activity. IJCNN 2022: 1-7 - [c54]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: 1-10 - [c53]Ankita Paul, Stefan Wagner, Anup Das:
Learning in Feedback-driven Recurrent Spiking Neural Networks using full-FORCE Training. IJCNN 2022: 1-10 - [c52]Anup Das:
Real-Time Scheduling of Machine Learning Operations on Heterogeneous Neuromorphic SoC. MEMOCODE 2022: 1-12 - [i41]Ankita Paul, Shihao Song, Twisha Titirsha, Anup Das:
On the Mitigation of Read Disturbances in Neuromorphic Inference Hardware. CoRR abs/2201.11527 (2022) - [i40]Phu Khanh Huynh, M. Lakshmi Varshika, Ankita Paul, Murat Isik, Adarsha Balaji, Anup Das:
Implementing Spiking Neural Networks on Neuromorphic Architectures: A Review. CoRR abs/2202.08897 (2022) - [i39]Ankita Paul, Md Abu Saleh Tajin, Anup Das, William M. Mongan, Kapil R. Dandekar:
Energy-Efficient Respiratory Anomaly Detection in Premature Newborn Infants. CoRR abs/2202.10570 (2022) - [i38]Shihao Song, Adarsha Balaji, Anup Das, Nagarajan Kandasamy:
Design-Technology Co-Optimization for NVM-based Neuromorphic Processing Elements. CoRR abs/2203.05311 (2022) - [i37]Murat Isik, Ankita Paul, M. Lakshmi Varshika, Anup Das:
A Design Methodology for Fault-Tolerant Computing using Astrocyte Neural Networks. CoRR abs/2204.02942 (2022) - [i36]Ankita Paul, Stefan Wagner, Anup Das:
Learning in Feedback-driven Recurrent Spiking Neural Networks using full-FORCE Training. CoRR abs/2205.13585 (2022) - [i35]Mali Halac, Murat Isik, Hasan Ayaz, Anup Das:
Multiscale Voxel Based Decoding For Enhanced Natural Image Reconstruction From Brain Activity. CoRR abs/2205.14177 (2022) - [i34]Oguzhan Derebasi, Murat Isik, Oguzhan Demirag, Dilek Göksel Duru, Anup Das:
A Coupled Neural Circuit Design for Guillain-Barre Syndrome. CoRR abs/2206.13056 (2022) - [i33]Anup Das:
Real-Time Scheduling of Machine Learning Operations on Heterogeneous Neuromorphic SoC. CoRR abs/2209.14777 (2022) - 2021
- [j20]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): 142-145 (2021) - [j19]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): 63:1-63:27 (2021) - [c51]Shihao Song, Twisha Titirsha, Anup Das:
Improving Inference Lifetime of Neuromorphic Systems via Intelligent Synapse Mapping. ASAP 2021: 17-24 - [c50]Shihao Song, Anup Das, Onur Mutlu, Nagarajan Kandasamy:
Aging-Aware Request Scheduling for Non-Volatile Main Memory. ASP-DAC 2021: 657-664 - [c49]Twisha Titirsha, Shihao Song, Adarsha Balaji, Anup Das:
On the role of system software in energy management of neuromorphic computing. CF 2021: 124-132 - [c48]Ankita Paul, Shihao Song, Anup Das:
Design Technology Co-Optimization for Neuromorphic Computing. IGSC (Workshops) 2021: 1-6 - [c47]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: 1-7 - [c46]Shihao Song, M. Lakshmi Varshika, Anup Das, Nagarajan Kandasamy:
A Design Flow for Mapping Spiking Neural Networks to Many-Core Neuromorphic Hardware. ICCAD 2021: 1-9 - [c45]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: 10:1-10:9 - [c44]Shamik Kundu, Kanad Basu, Mehdi Sadi, Twisha Titirsha, Shihao Song, Anup Das, Ujjwal Guin:
Special Session: Reliability Analysis for AI/ML Hardware. VTS 2021: 1-10 - [i32]Ethan Jacob Moyer, Anup Das:
Motif Identification using CNN-based Pairwise Subsequence Alignment Score Prediction. CoRR abs/2101.08385 (2021) - [i31]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 abs/2103.05707 (2021) - [i30]Shamik Kundu, Kanad Basu, Mehdi Sadi, Twisha Titirsha, Shihao Song, Anup Das, Ujjwal Guin:
Special Session: Reliability Analysis for ML/AI Hardware. CoRR abs/2103.12166 (2021) - [i29]Twisha Titirsha, Shihao Song, Adarsha Balaji, Anup Das:
On the Role of System Software in Energy Management of Neuromorphic Computing. CoRR abs/2103.12231 (2021) - [i28]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 abs/2105.01795 (2021) - [i27]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 abs/2105.02038 (2021) - [i26]Shihao Song, Twisha Titirsha, Anup Das:
Improving Inference Lifetime of Neuromorphic Systems via Intelligent Synapse Mapping. CoRR abs/2106.09104 (2021) - [i25]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 abs/2108.02023 (2021) - [i24]Shihao Song, M. Lakshmi Varshika, Anup Das, Nagarajan Kandasamy:
A Design Flow for Mapping Spiking Neural Networks to Many-Core Neuromorphic Hardware. CoRR abs/2108.12444 (2021) - [i23]Ankita Paul, Shihao Song, Anup Das:
Design Technology Co-Optimization for Neuromorphic Computing. CoRR abs/2110.08131 (2021) - [i22]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 abs/2111.11838 (2021) - 2020
- [j18]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): 76-86 (2020) - [j17]Adarsha Balaji, Thibaut Marty, Anup Das, Francky Catthoor:
Run-time Mapping of Spiking Neural Networks to Neuromorphic Hardware. J. Signal Process. Syst. 92(11): 1293-1302 (2020) - [c43]Shihao Song, Anup Das, Nagarajan Kandasamy:
Improving Dependability of Neuromorphic Computing With Non-Volatile Memory. EDCC 2020: 17-24 - [c42]Adarsha Balaji, Anup Das:
Compiling Spiking Neural Networks to Mitigate Neuromorphic Hardware Constraints. IGSC (Workshops) 2020: 1-3 - [c41]Shihao Song, Anup Das:
Design Methodologies for Reliable and Energy-efficient PCM Systems. IGSC (Workshops) 2020: 1-3 - [c40]Twisha Titirsha, Anup Das:
Reliability-Performance Trade-offs in Neuromorphic Computing. IGSC (Workshops) 2020: 1-5 - [c39]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: 1-10 - [c38]Shihao Song, Anup Das, Onur Mutlu, Nagarajan Kandasamy:
Improving phase change memory performance with data content aware access. ISMM 2020: 30-47 - [c37]Shihao Song, Anup Das, Nagarajan Kandasamy:
Exploiting inter- and intra-memory asymmetries for data mapping in hybrid tiered-memories. ISMM 2020: 100-114 - [c36]Twisha Titirsha, Anup Das:
Thermal-Aware Compilation of Spiking Neural Networks to Neuromorphic Hardware. LCPC 2020: 134-150 - [c35]Shihao Song, Adarsha Balaji, Anup Das, Nagarajan Kandasamy, James A. Shackleford:
Compiling Spiking Neural Networks to Neuromorphic Hardware. LCTES 2020: 38-50 - [c34]Shihao Song, Anup Das:
A Case for Lifetime Reliability-Aware Neuromorphic Computing. MWSCAS 2020: 596-598 - [i21]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 abs/2003.09696 (2020) - [i20]Shihao Song, Adarsha Balaji, Anup Das, Nagarajan Kandasamy, James A. Shackleford:
Compiling Spiking Neural Networks to Neuromorphic Hardware. CoRR abs/2004.03717 (2020) - [i19]Shihao Song, Anup Das, Nagarajan Kandasamy:
Exploiting Inter- and Intra-Memory Asymmetries for Data Mapping in Hybrid Tiered-Memories. CoRR abs/2005.04750 (2020) - [i18]Shihao Song, Anup Das, Onur Mutlu, Nagarajan Kandasamy:
Improving Phase Change Memory Performance with Data Content Aware Access. CoRR abs/2005.04753 (2020) - [i17]Shihao Song, Anup Das, Nagarajan Kandasamy:
Improving Dependability of Neuromorphic Computing With Non-Volatile Memory. CoRR abs/2006.05868 (2020) - [i16]Adarsha Balaji, Thibaut Marty, Anup Das, Francky Catthoor:
Run-time Mapping of Spiking Neural Networks to Neuromorphic Hardware. CoRR abs/2006.06777 (2020) - [i15]Shihao Song, Anup Das:
A Case for Lifetime Reliability-Aware Neuromorphic Computing. CoRR abs/2007.02210 (2020) - [i14]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 abs/2009.09298 (2020) - [i13]Twisha Titirsha, Anup Das:
Reliability-Performance Trade-offs in Neuromorphic Computing. CoRR abs/2009.12672 (2020) - [i12]Twisha Titirsha, Anup Das:
Thermal-Aware Compilation of Spiking Neural Networks to Neuromorphic Hardware. CoRR abs/2010.04773 (2020) - [i11]Ethan Jacob Moyer, Anup Das:
Machine learning applications to DNA subsequence and restriction site analysis. CoRR abs/2011.03544 (2020) - [i10]Shihao Song, Anup Das:
Design Methodologies for Reliable and Energy-efficient PCM Systems. CoRR abs/2011.13959 (2020) - [i9]Adarsha Balaji, Anup Das:
Compiling Spiking Neural Networks to Mitigate Neuromorphic Hardware Constraints. CoRR abs/2011.13965 (2020) - [i8]Shihao Song, Anup Das, Onur Mutlu, Nagarajan Kandasamy:
Aging-Aware Request Scheduling for Non-Volatile Main Memory. CoRR abs/2012.00050 (2020)
2010 – 2019
- 2019
- [j16]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): 149-152 (2019) - [j15]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): 53:1-53:25 (2019) - [c33]Adarsha Balaji, Salim Ullah, Anup Das, Akash Kumar:
Design Methodology for Embedded Approximate Artificial Neural Networks. ACM Great Lakes Symposium on VLSI 2019: 489-494 - [c32]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: 495-499 - [c31]Adarsha Balaji, Anup Das:
A Framework for the Analysis of Throughput-Constraints of SNNs on Neuromorphic Hardware. ISVLSI 2019: 193-196 - [i7]Anup Das, Francky Catthoor, Siebren Schaafsma:
Heartbeat Classification in Wearables Using Multi-layer Perceptron and Time-Frequency Joint Distribution of ECG. CoRR abs/1908.06865 (2019) - [i6]Shihao Song, Anup Das, Onur Mutlu, Nagarajan Kandasamy:
Enabling and Exploiting Partition-Level Parallelism (PALP) in Phase Change Memories. CoRR abs/1908.07966 (2019) - [i5]Anup Das, Yuefeng Wu, Khanh Huynh, Francesco Dell'Anna, Francky Catthoor, Siebren Schaafsma:
Mapping of Local and Global Synapses on Spiking Neuromorphic Hardware. CoRR abs/1908.08024 (2019) - [i4]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 abs/1909.01843 (2019) - [i3]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 abs/1911.00548 (2019) - 2018
- [j14]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): 508-519 (2018) - [j13]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: 134-147 (2018) - [j12]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): 397-407 (2018) - [c30]Anup K. Das, Francky Catthoor, Siebren Schaafsma:
Heartbeat Classification in Wearables Using Multi-layer Perceptron and Time-Frequency Joint Distribution of ECG. CHASE 2018: 69-74 - [c29]Anup Das, Hasan Hassan, Onur Mutlu:
VRL-DRAM: improving DRAM performance via variable refresh latency. DAC 2018: 171:1-171:6 - [c28]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: 1217-1222 - [c27]Anup Das, Akash Kumar:
Dataflow-Based Mapping of Spiking Neural Networks on Neuromorphic Hardware. ACM Great Lakes Symposium on VLSI 2018: 419-422 - [c26]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: 1-6 - [i2]Raj Thilak Rajan, Rob van Schaijk, Anup Das, Jac Romme, Frank J. Pasveer:
Reference-free Calibration in Sensor Networks. CoRR abs/1805.11999 (2018) - 2017
- [j11]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): 106-119 (2017) - [i1]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 abs/1708.05356 (2017) - 2016
- [j10]Domenico Balsamo, Anup Das, Alex S. Weddell, Davide Brunelli, Bashir M. Al-Hashimi, Geoff V. Merrett, Luca Benini:
Graceful Performance Modulation for Power-Neutral Transient Computing Systems. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 35(5): 738-749 (2016) - [j9]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): 877-890 (2016) - [j8]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): 1358-1371 (2016) - [j7]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): 1968-1980 (2016) - [j6]Anup Das, Bashir M. Al-Hashimi, Geoff V. Merrett:
Adaptive and Hierarchical Runtime Manager for Energy-Aware Thermal Management of Embedded Systems. ACM Trans. Embed. Comput. Syst. 15(2): 24:1-24:25 (2016) - [j5]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): 869-884 (2016) - [c25]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: 535-538 - 2015
- [j4]Anup Das, Shyamsundar Venkataraman, Akash Kumar:
Autonomous Soft-Error Tolerance of FPGA Configuration Bits. ACM Trans. Reconfigurable Technol. Syst. 8(2): 12:1-12:17 (2015) - [j3]Anup Das, Amit Kumar Singh, Akash Kumar:
Execution Trace-Driven Energy-Reliability Optimization for Multimedia MPSoCs. ACM Trans. Reconfigurable Technol. Syst. 8(3): 18:1-18:19 (2015) - [c24]Anup Das, Akash Kumar, Bharadwaj Veeravalli, Rishad Ahmed Shafik, Geoff V. Merrett, Bashir M. Al-Hashimi:
Workload uncertainty characterization and adaptive frequency scaling for energy minimization of embedded systems. DATE 2015: 43-48 - [c23]Rishad A. Shafik, Anup Das, Sheng Yang, Geoff V. Merrett, Bashir M. Al-Hashimi:
Adaptive Energy Minimization of OpenMP Parallel Applications on Many-Core Systems. PARMA-DITAM@HiPEAC 2015: 19-24 - [c22]Anup Das, Matthew J. Walker, Andreas Hansson, Bashir M. Al-Hashimi, Geoff V. Merrett:
Hardware-software interaction for run-time power optimization: A case study of embedded Linux on multicore smartphones. ISLPED 2015: 165-170 - [c21]Alberto Rodriguez Arreola, Domenico Balsamo, Anup K. Das, Alex S. Weddell, Davide Brunelli, Bashir M. Al-Hashimi, Geoff V. Merrett:
Approaches to Transient Computing for Energy Harvesting Systems: A Quantitative Evaluation. ENSsys@SenSys 2015: 3-8 - 2014
- [j2]Anup Das, Akash Kumar, Bharadwaj Veeravalli:
Communication and migration energy aware task mapping for reliable multiprocessor systems. Future Gener. Comput. Syst. 30: 216-228 (2014) - [j1]Anup Das, Akash Kumar, Bharadwaj Veeravalli:
Energy-aware task mapping and scheduling for reliable embedded computing systems. ACM Trans. Embed. Comput. Syst. 13(2s): 72:1-72:27 (2014) - [c20]Anup Das, Rishad A. Shafik, Geoff V. Merrett, Bashir M. Al-Hashimi, Akash Kumar, Bharadwaj Veeravalli:
Reinforcement Learning-Based Inter- and Intra-Application Thermal Optimization for Lifetime Improvement of Multicore Systems. DAC 2014: 170:1-170:6 - [c19]Anup Das, Akash Kumar, Bharadwaj Veeravalli:
Temperature aware energy-reliability trade-offs for mapping of throughput-constrained applications on multimedia MPSoCs. DATE 2014: 1-6 - [c18]Anup Das, Akash Kumar, Bharadwaj Veeravalli, Cristiana Bolchini, Antonio Miele:
Combined DVFS and mapping exploration for lifetime and soft-error susceptibility improvement in MPSoCs. DATE 2014: 1-6 - [c17]Anup Das, Akash Kumar, Bharadwaj Veeravalli:
Artificial intelligence based task mapping and pipelined scheduling for checkpointing on real time systems with imperfect fault detection. DFT 2014: 134-140 - [c16]Rui Santos, Shyamsundar Venkataraman, Anup Das, Akash Kumar:
Criticality-aware scrubbing mechanism for SRAM-based FPGAs. FPL 2014: 1-8 - [c15]Shyamsundar Venkataraman, Rui Santos, Anup Das, Akash Kumar:
A bit-interleaved embedded hamming scheme to correct single-bit and multi-bit upsets for SRAM-based FPGAs. FPL 2014: 1-4 - 2013
- [c14]Anup Das, Akash Kumar, Bharadwaj Veeravalli:
Aging-aware hardware-software task partitioning for reliable reconfigurable multiprocessor systems. CASES 2013: 1:1-1:10 - [c13]Amit Kumar Singh, Anup Das, Akash Kumar:
Energy optimization by exploiting execution slacks in streaming applications on multiprocessor systems. DAC 2013: 115:1-115:7 - [c12]Anup Das, Akash Kumar, Bharadwaj Veeravalli:
Reliability-driven task mapping for lifetime extension of networks-on-chip based multiprocessor systems. DATE 2013: 689-694 - [c11]Anup Das, Akash Kumar, Bharadwaj Veeravalli:
Communication and migration energy aware design space exploration for multicore systems with intermittent faults. DATE 2013: 1631-1636 - [c10]Cristiana Bolchini, Matteo Carminati, Antonio Miele, Anup Das, Akash Kumar, Bharadwaj Veeravalli:
Run-time mapping for reliable many-cores based on energy/performance trade-offs. DFTS 2013: 58-64 - [c9]Amit Kumar Singh, Anup Das, Akash Kumar:
RAPIDITAS: RAPId Design-Space-Exploration Incorporating Trace-Based Analysis and Simulation. DSD 2013: 836-843 - [c8]Anup Das, Shyamsundar Venkataraman, Akash Kumar:
Improving autonomous soft-error tolerance of FPGA through LUT configuration bit manipulation. FPL 2013: 1-8 - [c7]Anup Das, Amit Kumar Singh, Akash Kumar:
Energy-aware dynamic reconfiguration of communication-centric applications for reliable MPSoCs. ReCoSoC 2013: 1-7 - 2012
- [c6]Sheng Hao Wang, Anup Das, Akash Kumar, Henk Corporaal:
Minimizing Power Consumption of Spatial Division Based Networks-on-Chip Using Multi-path and Frequency Reduction. DSD 2012: 576-583 - [c5]Anup Das, Akash Kumar, Bharadwaj Veeravalli:
Energy-Aware Communication and Remapping of Tasks for Reliable Multimedia Multiprocessor Systems. ICPADS 2012: 564-571 - [c4]Anup Das, Akash Kumar, Bharadwaj Veeravalli:
Fault-tolerant network interface for spatial division multiplexing based Network-on-Chip. ReCoSoC 2012: 1-8 - [c3]Anup Das, Akash Kumar:
Fault-aware task re-mapping for throughput constrained multimedia applications on NoC-based MPSoCs. RSP 2012: 149-155 - [c2]Jiashu Li, Anup Das, Akash Kumar:
A design flow for partially reconfigurable heterogeneous multi-processor platforms. RSP 2012: 170-176 - 2010
- [c1]Anup Das, Rance Rodrigues, Israel Koren, Sandip Kundu:
A study on performance benefits of core morphing in an asymmetric multicore processor. ICCD 2010: 17-22
Coauthor Index
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