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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.uni-trier.de/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 — Jawaharlal Nehru University, Centre for Studies in Science Policy, India
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2020 – today
- 2021
[c40]Shihao Song, Anup Das, Onur Mutlu, Nagarajan Kandasamy:
Aging-Aware Request Scheduling for Non-Volatile Main Memory. ASP-DAC 2021: 657-664- [i22]Ethan Jacob Moyer, Anup Das:
Motif Identification using CNN-based Pairwise Subsequence Alignment Score Prediction. CoRR abs/2101.08385 (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) - [c39]Shihao Song, Anup Das, Nagarajan Kandasamy:
Improving Dependability of Neuromorphic Computing With Non-Volatile Memory. EDCC 2020: 17-24 - [c38]Adarsha Balaji, Prathyusha Adiraju, Hirak J. 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 - [c37]Shihao Song, Anup Das, Onur Mutlu, Nagarajan Kandasamy:
Improving phase change memory performance with data content aware access. ISMM 2020: 30-47 - [c36]Shihao Song, Anup Das, Nagarajan Kandasamy:
Exploiting inter- and intra-memory asymmetries for data mapping in hybrid tiered-memories. ISMM 2020: 100-114 - [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 J. 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 J. 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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