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ORCIDAkash Kumar 0001
Person information
- affiliation: TU Dresden, Germany
- affiliation (former): National University of Singapore
Other persons with the same name
- Akash Kumar 0002 — Yahoo!
- Akash Kumar 0003 — Purdue University, IN, USA
- Akash Kumar 0004
![[0000-0002-0441-7853]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-0441-7853")
— Indian Institute of Technology Mandi, India (and 1 more) - Akash Kumar 0005 — Indian Institute of Technology Indore, Department of Mathematics, India
- Akash Kumar 0006 — Max Planck Institute for Software Systems (MPI-SWS), Saarbrücken, Germany
- Akash Kumar 0007 — West Chester University, PA, USA
- Akash Kumar 0008 — Indian Institute of Technology Jammu, India
- Akash Kumar 0009 — EPFL, Lausanne, Switzerland
- Akash Kumar 0010 — University of California San Diego, CA, USA
- Akash Kumar 0011 — Indian Institute of Information Technology Allahabad, India
- Akash Kumar 0012 — Rochester Institute of Technology, USA (and 1 more)
- Akash Kumar 0013 — University of Washington, Department of Genome Sciences, Seattle, WA, USA
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2020 – today
- 2022
[j53]Stefano Corda, Bram Veenboer, Ahsan Javed Awan, John W. Romein, Roel Jordans, Akash Kumar, Albert-Jan Boonstra, Henk Corporaal:
Reduced-Precision Acceleration of Radio-Astronomical Imaging on Reconfigurable Hardware. IEEE Access 10: 22819-22843 (2022)- [j52]Behnaz Ranjbar, Hamidreza Alikhani, Bardia Safaei, Alireza Ejlali, Akash Kumar:
Learning-Oriented QoS- and Drop-Aware Task Scheduling for Mixed-Criticality Systems. Comput. 11(7): 101 (2022) - [j51]Aditya Lohana, Ansh Rupani, Shubham Rai, Akash Kumar:
Efficient Privacy-Aware Federated Learning by Elimination of Downstream Redundancy. IEEE Des. Test 39(3): 73-81 (2022) - [j50]Cecilia De la Parra, Taha Soliman, Andre Guntoro, Akash Kumar, Norbert Wehn:
Increasing Throughput of In-Memory DNN Accelerators by Flexible Layerwise DNN Approximation. IEEE Micro 42(6): 17-24 (2022) - [j49]Mozhgan Navardi, Behnaz Ranjbar, Nezam Rohbani, Alireza Ejlali, Akash Kumar:
Peak-Power Aware Life-Time Reliability Improvement in Fault-Tolerant Mixed-Criticality Systems. IEEE Open J. Circuits Syst. 3: 199-215 (2022) - [j48]Salim Ullah, Semeen Rehman, Muhammad Shafique, Akash Kumar:
High-Performance Accurate and Approximate Multipliers for FPGA-Based Hardware Accelerators. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 41(2): 211-224 (2022) - [j47]Behnaz Ranjbar, Ali Hosseinghorban, Mohammad Salehi, Alireza Ejlali, Akash Kumar:
Toward the Design of Fault-Tolerance-Aware and Peak-Power-Aware Multicore Mixed-Criticality Systems. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 41(5): 1509-1522 (2022) - [j46]Mark Wijtvliet, Akash Kumar, Henk Corporaal:
Blocks: Challenging SIMDs and VLIWs With a Reconfigurable Architecture. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 41(9): 2915-2928 (2022) - [j45]Behnaz Ranjbar, Ali Hosseinghorban, Siva Satyendra Sahoo, Alireza Ejlali, Akash Kumar:
BOT-MICS: Bounding Time Using Analytics in Mixed-Criticality Systems. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 41(10): 3239-3251 (2022) - [j44]Salim Ullah, Siva Satyendra Sahoo, Nemath Ahmed, Debabrata Chaudhury, Akash Kumar:
AppAxO: Designing Application-specific Approximate Operators for FPGA-based Embedded Systems. ACM Trans. Embed. Comput. Syst. 21(3): 29:1-29:31 (2022) - [j43]Shubham Rai, Satwik Patnaik, Ansh Rupani, Johann Knechtel, Ozgur Sinanoglu, Akash Kumar:
Security Promises and Vulnerabilities in Emerging Reconfigurable Nanotechnology-Based Circuits. IEEE Trans. Emerg. Top. Comput. 10(2): 763-778 (2022) - [j42]Zahra Ebrahimi, Dennis Klar, Mohammad Aasim Ekhtiyar, Akash Kumar:
Plasticine: A Cross-layer Approximation Methodology for Multi-kernel Applications through Minimally Biased, High-throughput, and Energy-efficient SIMD Soft Multiplier-divider. ACM Trans. Design Autom. Electr. Syst. 27(2): 16:1-16:33 (2022) - [c170]Alessandro Tempia Calvino, Heinz Riener, Shubham Rai, Akash Kumar, Giovanni De Micheli:
A Versatile Mapping Approach for Technology Mapping and Graph Optimization. ASP-DAC 2022: 410-416 - [c169]Negar Neda, Salim Ullah, Azam Ghanbari, Hoda Mahdiani, Mehdi Modarressi, Akash Kumar:
Multi-Precision Deep Neural Network Acceleration on FPGAs. ASP-DAC 2022: 454-459 - [c168]Nishant Gupta, Mohil Sandip Desai, Mark Wijtvliet, Shubham Rai, Akash Kumar:
DELTA: DEsigning a stealthy trigger mechanism for analog hardware trojans and its detection analysis. DAC 2022: 787-792 - [c167]Michael Raitza, Steffen Märcker, Shubham Rai, Akash Kumar:
Exploring Standard-Cell Designs for Reconfigurable Nanotechnologies: A Formal Approach. DATE 2022: 23-28 - [c166]Martin Thümmler, Shubham Rai, Akash Kumar:
Improving Technology Mapping for And-Inverter-Cones. DATE 2022: 274-279 - [c165]Mohammad Bawatna, Behnaz Ranjbar, Akash Kumar:
A Hybrid Scheduling Mechanism for Multi-programming in Mixed-Criticality Systems. DSD 2022: 181-188 - [c164]Amritha Immaneni, Salim Ullah, Suresh Nambi, Siva Satyendra Sahoo, Akash Kumar:
PosAx-O: Exploring Operator-level Approximations for Posit Arithmetic in Embedded AI/ML. DSD 2022: 214-223 - [c163]Mehdi Moghaddamfar, Christian Färber, Norman May, Wolfgang Lehner, Akash Kumar:
FPGA-Based Database Query Processing on Arbitrarily Wide Tables. FCCM 2022: 1 - [c162]Yuhao Liu, Shubham Rai, Salim Ullah, Akash Kumar:
NetPU: Prototyping a Generic Reconfigurable Neural Network Accelerator Architecture. FPT 2022: 1 - [c161]Armin Darjani, Nima Kavand, Shubham Rai, Mark Wijtvliet, Akash Kumar:
ENTANGLE: An Enhanced Logic-locking Technique for Thwarting SAT and Structural Attacks. ACM Great Lakes Symposium on VLSI 2022: 147-151 - [c160]Nima Kavand, Armin Darjani, Shubham Rai, Akash Kumar:
Securing Hardware through Reconfigurable Nano-Structures. ICCAD 2022: 130:1-130:7 - [c159]Elias Trommer, Bernd Waschneck, Akash Kumar:
Combining Gradients and Probabilities for Heterogeneous Approximation of Neural Networks. ICCAD 2022: 150:1-150:8 - [c158]Nikhil Rangarajan, Satwik Patnaik, Mohammed Nabeel, Mohammed Ashraf, Shubham Rai, Gopal Raut, Heba Abunahla, Baker Mohammad, Santosh Kumar Vishvakarma, Akash Kumar, Johann Knechtel, Ozgur Sinanoglu:
SCRAMBLE: A Secure and Configurable, Memristor-Based Neuromorphic Hardware Leveraging 3D Architecture. ISVLSI 2022: 308-313 - [i19]Zahra Ebrahimi, Muhammad Zaid, Mark Wijtvliet, Akash Kumar:
RAPID: AppRoximAte Pipelined Soft Multipliers and Dividers for High-Throughput and Energy-Efficiency. CoRR abs/2206.13970 (2022) - [i18]Elias Trommer, Bernd Waschneck, Akash Kumar:
Combining Gradients and Probabilities for Heterogeneous Approximation of Neural Networks. CoRR abs/2208.07265 (2022) - 2021
- [j41]Shubham Rai, Pallab Nath, Ansh Rupani, Santosh Kumar Vishvakarma, Akash Kumar:
A Survey of FPGA Logic Cell Designs in the Light of Emerging Technologies. IEEE Access 9: 91564-91574 (2021) - [j40]Suresh Nambi, Salim Ullah, Siva Satyendra Sahoo, Aditya Lohana, Farhad Merchant, Akash Kumar:
ExPAN(N)D: Exploring Posits for Efficient Artificial Neural Network Design in FPGA-Based Systems. IEEE Access 9: 103691-103708 (2021) - [j39]Salim Ullah, Tuan Duy Anh Nguyen, Akash Kumar:
Energy-Efficient Low-Latency Signed Multiplier for FPGA-Based Hardware Accelerators. IEEE Embed. Syst. Lett. 13(2): 41-44 (2021) - [j38]Gopal Raut, Shubham Rai, Santosh Kumar Vishvakarma, Akash Kumar:
RECON: Resource-Efficient CORDIC-Based Neuron Architecture. IEEE Open J. Circuits Syst. 2: 170-181 (2021) - [j37]Gopal Raut, Shubham Rai, Santosh Kumar Vishvakarma, Akash Kumar:
Correction to "RECON: Resource-Efficient CORDIC-Based Neuron Architecture". IEEE Open J. Circuits Syst. 2: 292 (2021) - [j36]Salim Ullah, Hendrik Schmidl, Siva Satyendra Sahoo, Semeen Rehman, Akash Kumar:
Area-Optimized Accurate and Approximate Softcore Signed Multiplier Architectures. IEEE Trans. Computers 70(3): 384-392 (2021) - [j35]Akhil Raj Baranwal, Salim Ullah, Siva Satyendra Sahoo, Akash Kumar:
ReLAccS: A Multilevel Approach to Accelerator Design for Reinforcement Learning on FPGA-Based Systems. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 40(9): 1754-1767 (2021) - [j34]Behnaz Ranjbar, Tuan D. A. Nguyen, Alireza Ejlali, Akash Kumar:
Power-Aware Runtime Scheduler for Mixed-Criticality Systems on Multicore Platform. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 40(10): 2009-2023 (2021) - [j33]Mark Wijtvliet, Henk Corporaal, Akash Kumar:
CGRA-EAM - Rapid Energy and Area Estimation for Coarse-grained Reconfigurable Architectures. ACM Trans. Reconfigurable Technol. Syst. 14(4): 19:1-19:28 (2021) - [c157]Cecilia De la Parra, Andre Guntoro, Akash Kumar:
Efficient Accuracy Recovery in Approximate Neural Networks by Systematic Error Modelling. ASP-DAC 2021: 365-371 - [c156]Siva Satyendra Sahoo, Akash Kumar, Martin Decky, Samuel Chang Bing Wong, Geoff V. Merrett, Yinyuan Zhao, Jiachen Wang, Xiaohang Wang, Amit Kumar Singh:
Emergent design challenges for embedded systems and paths forward: mixed-criticality, energy, reliability and security perspectives. CODES+ISSS 2021: 1-10 - [c155]Salim Ullah, Siva Satyendra Sahoo, Akash Kumar:
CLAppED: A Design Framework for Implementing Cross-Layer Approximation in FPGA-based Embedded Systems. DAC 2021: 475-480 - [c154]Mehdi Moghaddamfar, Christian Färber, Wolfgang Lehner, Norman May, Akash Kumar:
Resource-Efficient Database Query Processing on FPGAs. DaMoN 2021: 4:1-4:8 - [c153]Behnaz Ranjbar, Ali Hoseinghorban, Siva Satyendra Sahoo, Alireza Ejlali, Akash Kumar:
Improving the Timing Behaviour of Mixed-Criticality Systems Using Chebyshev's Theorem. DATE 2021: 264-269 - [c152]Shubham Rai, Heinz Riener, Giovanni De Micheli, Akash Kumar:
Preserving Self-Duality During Logic Synthesis for Emerging Reconfigurable Nanotechnologies. DATE 2021: 354-359 - [c151]Cecilia De la Parra, Xuyi Wu, Andre Guntoro, Akash Kumar:
Knowledge Distillation and Gradient Estimation for Active Error Compensation in Approximate Neural Networks. DATE 2021: 679-684 - [c150]Shubham Rai, Walter Lau Neto, Yukio Miyasaka, Xinpei Zhang, Mingfei Yu, Qingyang Yi, Masahiro Fujita, Guilherme B. Manske, Matheus F. Pontes, Leomar S. da Rosa, Marilton S. de Aguiar, Paulo F. Butzen, Po-Chun Chien, Yu-Shan Huang, Hoa-Ren Wang, Jie-Hong R. Jiang, Jiaqi Gu, Zheng Zhao, Zixuan Jiang, David Z. Pan, Brunno A. Abreu, Isac de Souza Campos, Augusto Andre Souza Berndt, Cristina Meinhardt, Jônata Tyska Carvalho, Mateus Grellert, Sergio Bampi, Aditya Lohana, Akash Kumar, Wei Zeng, Azadeh Davoodi, Rasit Onur Topaloglu, Yuan Zhou, Jordan Dotzel, Yichi Zhang, Hanyu Wang, Zhiru Zhang, Valerio Tenace, Pierre-Emmanuel Gaillardon, Alan Mishchenko, Satrajit Chatterjee:
Logic Synthesis Meets Machine Learning: Trading Exactness for Generalization. DATE 2021: 1026-1031 - [c149]Ilia Polian, Frank Altmann, Tolga Arul, Christian Boit, Ralf Brederlow, Lucas Davi, Rolf Drechsler, Nan Du, Thomas Eisenbarth, Tim Güneysu, Sascha Hermann, Matthias Hiller, Rainer Leupers, Farhad Merchant, Thomas Mussenbrock, Stefan Katzenbeisser, Akash Kumar, Wolfgang Kunz, Thomas Mikolajick, Vivek Pachauri, Jean-Pierre Seifert, Frank Sill Torres, Jens Trommer:
Nano Security: From Nano-Electronics to Secure Systems. DATE 2021: 1334-1339 - [c148]Shubham Rai, Siddharth Garg, Christian Pilato, Vladimir Herdt, Elmira Moussavi, Dominik Sisejkovic, Ramesh Karri, Rolf Drechsler, Farhad Merchant, Akash Kumar:
Vertical IP Protection of the Next-Generation Devices: Quo Vadis? DATE 2021: 1905-1914 - [c147]Shubham Rai, Mengyun Liu, Anteneh Gebregiorgis, Debjyoti Bhattacharjee, Krishnendu Chakrabarty, Said Hamdioui, Anupam Chattopadhyay, Jens Trommer, Akash Kumar:
Perspectives on Emerging Computation-in-Memory Paradigms. DATE 2021: 1925-1934 - [c146]Stefano Corda, Madhurya Kumaraswamy, Ahsan Javed Awan, Roel Jordans, Akash Kumar, Henk Corporaal:
NMPO: Near-Memory Computing Profiling and Offloading. DSD 2021: 259-267 - [c145]Najdet Charaf, Christoph Tietz, Michael Raitza, Akash Kumar, Diana Göhringer:
AMAH-Flex: A Modular and Highly Flexible Tool for Generating Relocatable Systems on FPGAs. FPT 2021: 1-6 - [c144]Siva Satyendra Sahoo, Akhil Raj Baranwal, Salim Ullah, Akash Kumar:
MemOReL: A Memory-oriented Optimization Approach to Reinforcement Learning on FPGA-based Embedded Systems. ACM Great Lakes Symposium on VLSI 2021: 339-346 - [c143]Andreas Krinke, Shubham Rai, Akash Kumar, Jens Lienig:
Exploring Physical Synthesis for Circuits based on Emerging Reconfigurable Nanotechnologies. ICCAD 2021: 1-9 - [c142]Yasasvi V. Peruvemba, Shubham Rai, Kapil Ahuja, Akash Kumar:
RL-Guided Runtime-Constrained Heuristic Exploration for Logic Synthesis. ICCAD 2021: 1-9 - [c141]Elias Trommer, Bernd Waschneck, Akash Kumar:
dCSR: A Memory-Efficient Sparse Matrix Representation for Parallel Neural Network Inference. ICCAD 2021: 1-9 - [c140]Zahra Ebrahimi, Akash Kumar:
BioCare: An Energy-Efficient CGRA for Bio-Signal Processing at the Edge. ISCAS 2021: 1-5 - [c139]Cecilia De la Parra, Ahmed El-Yamany, Taha Soliman, Akash Kumar, Norbert Wehn, Andre Guntoro:
Exploiting Resiliency for Kernel-Wise CNN Approximation Enabled by Adaptive Hardware Design. ISCAS 2021: 1-5 - [c138]Abhiroop Bhattacharjee, Shubham Rai, Ansh Rupani, Michael Raitza, Akash Kumar:
Metastability with Emerging Reconfigurable Transistors: Exploiting Ambipolarity for Throughput. VLSI-SoC 2021: 1-6 - [c137]Siva Satyendra Sahoo, Akash Kumar:
CLEO-CoDe: Exploiting Constrained Decoding for Cross-Layer Energy Optimization in Heterogeneous Embedded Systems. VLSI-SoC 2021: 1-6 - [c136]Siva Satyendra Sahoo, Akash Kumar:
Using Monte Carlo Tree Search for EDA - A Case-study with Designing Cross-layer Reliability for Heterogeneous Embedded Systems. VLSI-SoC 2021: 1-6 - [c135]Shubham Rai, Nishant Gupta, Abhiroop Bhattacharjee, Ansh Rupani, Michael Raitza, Jens Trommer, Thomas Mikolajick, Akash Kumar:
END-TRUE: Emerging Nanotechnology-Based Double-Throughput True Random Number Generator. VLSI-SoC (Selected Papers) 2021: 175-203 - [i17]Max Sponner, Bernd Waschneck, Akash Kumar:
Compiler Toolchains for Deep Learning Workloads on Embedded Platforms. CoRR abs/2104.04576 (2021) - [i16]Behnaz Ranjbar, Ali Hoseinghorban, Mohammad Salehi, Alireza Ejlali, Akash Kumar:
Toward the Design of Fault-Tolerance- and Peak- Power-Aware Multi-Core Mixed-Criticality Systems. CoRR abs/2105.07739 (2021) - [i15]Stefano Corda, Madhurya Kumaraswamy, Ahsan Javed Awan, Roel Jordans, Akash Kumar, Henk Corporaal:
NMPO: Near-Memory Computing Profiling and Offloading. CoRR abs/2106.15284 (2021) - [i14]Elias Trommer, Bernd Waschneck, Akash Kumar:
dCSR: A Memory-Efficient Sparse Matrix Representation for Parallel Neural Network Inference. CoRR abs/2111.12345 (2021) - [i13]Seetal Potluri, Shamik Kundu, Akash Kumar, Kanad Basu, Aydin Aysu:
SeqL+: Secure Scan-Obfuscation with Theoretical and Empirical Validation. IACR Cryptol. ePrint Arch. 2021: 1245 (2021) - 2020
- [j32]Michael Raitza, Steffen Märcker, Jens Trommer, Andre Heinzig, Sascha Klüppelholz, Christel Baier, Akash Kumar:
Quantitative Characterization of Reconfigurable Transistor Logic Gates. IEEE Access 8: 112598-112614 (2020) - [j31]Siddharth Gupta, Salim Ullah, Kapil Ahuja, Aruna Tiwari, Akash Kumar:
ALigN: A Highly Accurate Adaptive Layerwise Log_2_Lead Quantization of Pre-Trained Neural Networks. IEEE Access 8: 118899-118911 (2020) - [j30]Behnaz Ranjbar, Bardia Safaei, Alireza Ejlali, Akash Kumar:
FANTOM: Fault Tolerant Task-Drop Aware Scheduling for Mixed-Criticality Systems. IEEE Access 8: 187232-187248 (2020) - [j29]Cecilia De la Parra, Andre Guntoro, Akash Kumar:
Improving approximate neural networks for perception tasks through specialized optimization. Future Gener. Comput. Syst. 113: 597-606 (2020) - [c134]Zahra Ebrahimi, Salim Ullah, Akash Kumar:
LeAp: Leading-one Detection-based Softcore Approximate Multipliers with Tunable Accuracy. ASP-DAC 2020: 605-610 - [c133]Siva Satyendra Sahoo, Bharadwaj Veeravalli, Akash Kumar:
CL(R)Early: An Early-stage DSE Methodology for Cross-Layer Reliability-aware Heterogeneous Embedded Systems. DAC 2020: 1-6 - [c132]Shubham Rai, Michael Raitza, Siva Satyendra Sahoo, Akash Kumar:
DiSCERN: Distilling Standard-Cells for Emerging Reconfigurable Nanotechnologies. DATE 2020: 674-677 - [c131]Salim Ullah, Siddharth Gupta, Kapil Ahuja, Aruna Tiwari, Akash Kumar:
L2L: A Highly Accurate Log_2_Lead Quantization of Pre-trained Neural Networks. DATE 2020: 979-982 - [c130]Cecilia De la Parra, Andre Guntoro, Akash Kumar:
ProxSim: GPU-based Simulation Framework for Cross-Layer Approximate DNN Optimization. DATE 2020: 1193-1198 - [c129]Siva Satyendra Sahoo, Bharadwaj Veeravalli, Akash Kumar:
Markov Chain-based Modeling and Analysis of Checkpointing with Rollback Recovery for Efficient DSE in Soft Real-time Systems. DFT 2020: 1-6 - [c128]Rajesh C. Panicker, Akash Kumar, Deepu John:
Introducing FPGA-based Machine Learning on the Edge to Undergraduate Students. FIE 2020: 1-5 - [c127]Tuan D. A. Nguyen, Akash Kumar:
Maximizing the Serviceability of Partially Reconfigurable FPGA Systems in Multi-tenant Environment. FPGA 2020: 29-39 - [c126]Zahra Ebrahimi, Salim Ullah, Akash Kumar:
SIMDive: Approximate SIMD Soft Multiplier-Divider for FPGAs with Tunable Accuracy. ACM Great Lakes Symposium on VLSI 2020: 151-156 - [c125]Arlene John, Salim Ullah, Akash Kumar, Barry Cardiff, Deepu John:
An Approximate Binary Classifier for Data Integrity Assessment in IoT Sensors. ICECS 2020: 1-4 - [c124]Cecilia De la Parra, Andre Guntoro, Akash Kumar:
Full Approximation of Deep Neural Networks through Efficient Optimization. ISCAS 2020: 1-5 - [c123]Seetal Potluri, Aydin Aysu, Akash Kumar:
SeqL: Secure Scan-Locking for IP Protection. ISQED 2020: 7-13 - [c122]Gopal Raut, Shubham Rai, Santosh Kumar Vishvakarma, Akash Kumar:
A CORDIC Based Configurable Activation Function for ANN Applications. ISVLSI 2020: 78-83 - [c121]Stefano Corda, Bram Veenboer, Ahsan Javed Awan, Akash Kumar, Roel Jordans, Henk Corporaal:
Near Memory Acceleration on High Resolution Radio Astronomy Imaging. MECO 2020: 1-6 - [i12]Stefano Corda, Bram Veenboer, Ahsan Javed Awan, Akash Kumar, Roel Jordans, Henk Corporaal:
Near Memory Acceleration on High Resolution Radio Astronomy Imaging. CoRR abs/2005.04098 (2020) - [i11]Seetal Potluri, Aydin Aysu, Akash Kumar:
SeqL: Secure Scan-Locking for IP Protection. CoRR abs/2005.13032 (2020) - [i10]Rohit Agrawal, Kapil Ahuja, Dhaarna Maheshwari, Akash Kumar:
ParaLarH: Parallel FPGA Router based upon Lagrange Heuristics. CoRR abs/2010.11893 (2020) - [i9]Suresh Nambi, Salim Ullah, Aditya Lohana, Siva Satyendra Sahoo, Farhad Merchant, Akash Kumar:
ExPAN(N)D: Exploring Posits for Efficient Artificial Neural Network Design in FPGA-based Systems. CoRR abs/2010.12869 (2020) - [i8]Zahra Ebrahimi, Salim Ullah, Akash Kumar:
SIMDive: Approximate SIMD Soft Multiplier-Divider for FPGAs with Tunable Accuracy. CoRR abs/2011.01148 (2020) - [i7]Behnaz Ranjbar, Tuan D. A. Nguyen, Alireza Ejlali, Akash Kumar:
Power-Aware Run-Time Scheduler for Mixed-Criticality Systems on Multi-Core Platform. CoRR abs/2011.03262 (2020) - [i6]Shubham Rai, Walter Lau Neto, Yukio Miyasaka, Xinpei Zhang, Mingfei Yu, Qingyang Yi, Masahiro Fujita, Guilherme B. Manske, Matheus F. Pontes, Leomar S. da Rosa Jr., Marilton S. de Aguiar, Paulo F. Butzen, Po-Chun Chien, Yu-Shan Huang, Hoa-Ren Wang, Jie-Hong R. Jiang, Jiaqi Gu, Zheng Zhao, Zixuan Jiang, David Z. Pan, Brunno A. Abreu, Isac de Souza Campos, Augusto Andre Souza Berndt, Cristina Meinhardt, Jônata Tyska Carvalho, Mateus Grellert, Sergio Bampi, Aditya Lohana, Akash Kumar, Wei Zeng, Azadeh Davoodi, Rasit Onur Topaloglu, Yuan Zhou, Jordan Dotzel, Yichi Zhang, Hanyu Wang, Zhiru Zhang, Valerio Tenace, Pierre-Emmanuel Gaillardon, Alan Mishchenko, Satrajit Chatterjee:
Logic Synthesis Meets Machine Learning: Trading Exactness for Generalization. CoRR abs/2012.02530 (2020)
2010 – 2019
- 2019
- [j28]Mohammed Alser, Hasan Hassan, Akash Kumar, Onur Mutlu, Can Alkan:
Shouji: a fast and efficient pre-alignment filter for sequence alignment. Bioinform. 35(21): 4255-4263 (2019) - [j27]Siva Satyendra Sahoo, Tuan D. A. Nguyen, Bharadwaj Veeravalli, Akash Kumar:
Multi-objective design space exploration for system partitioning of FPGA-based Dynamic Partially Reconfigurable Systems. Integr. 67: 95-107 (2019) - [j26]Gerhard P. Fettweis, Meik Dorpinghaus, Jerónimo Castrillón, Akash Kumar, Christel Baier, Karlheinz Bock, Frank Ellinger, Andreas Fery, Frank H. P. Fitzek, Hermann Härtig, Kambiz Jamshidi, Thomas Kissinger, Wolfgang Lehner, Michael Mertig, Wolfgang E. Nagel, Giang T. Nguyen, Dirk Plettemeier, Michael Schröter, Thorsten Strufe:
Architecture and Advanced Electronics Pathways Toward Highly Adaptive Energy- Efficient Computing. Proc. IEEE 107(1): 204-231 (2019) - [j25]Shubham Rai, Jens Trommer, Michael Raitza, Thomas Mikolajick, Walter M. Weber, Akash Kumar:
Designing Efficient Circuits Based on Runtime-Reconfigurable Field-Effect Transistors. IEEE Trans. Very Large Scale Integr. Syst. 27(3): 560-572 (2019) - [c120]Siva Satyendra Sahoo, Bharadwaj Veeravalli, Akash Kumar:
A Hybrid Agent-based Design Methodology for Dynamic Cross-layer Reliability in Heterogeneous Embedded Systems. DAC 2019: 38 - [c119]Mahsa Mousavi, Hamid Reza Pourshaghaghi, Henk Corporaal, Akash Kumar:
Scatter Scrubbing: A Method to Reduce SEU Repair Time in FPGA Configuration Memory. DFT 2019: 1-6 - [c118]Behnaz Ranjbar, Tuan D. A. Nguyen, Alireza Ejlali, Akash Kumar:
Online Peak Power and Maximum Temperature Management in Multi-core Mixed-Criticality Embedded Systems. DSD 2019: 546-553 - [c117]Nusrat Jahan Lisa, Tuan Duy Anh Nguyen, Dirk Habich, Akash Kumar, Wolfgang Lehner:
High-Throughput BitPacking Compression. DSD 2019: 643-646 - [c116]Ansh Rupani, Shubham Rai, Akash Kumar:
Exploiting Emerging Reconfigurable Technologies for Secure Devices. DSD 2019: 668-671 - [c115]Muhammad Usama Sardar, Clemens Dubslaff, Sascha Klüppelholz, Christel Baier, Akash Kumar:
Performance Evaluation of Thermal-Constrained Scheduling Strategies in Multi-core Systems. EPEW 2019: 133-147 - [c114]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 - [c113]Shubham Rai, Ansh Rupani, Pallab Nath, Akash Kumar:
Hardware Watermarking Using Polymorphic Inverter Designs Based On Reconfigurable Nanotechnologies. ISVLSI 2019: 663-669 - [i5]Seetal Potluri, Akash Kumar, Aydin Aysu:
SeqL: SAT-attack Resilient Sequential Locking. IACR Cryptol. ePrint Arch. 2019: 656 (2019) - 2018
- [j24]Jerónimo Castrillón, Matthias Lieber, Sascha Klüppelholz, Marcus Völp, Nils Asmussen, Uwe Aßmann, Franz Baader, Christel Baier, Gerhard P. Fettweis, Jochen Fröhlich, Andrés Goens, Sebastian Haas, Dirk Habich, Hermann Härtig, Mattis Hasler, Immo Huismann, Tomas Karnagel, Sven Karol, Akash Kumar, Wolfgang Lehner, Linda Leuschner, Siqi Ling, Steffen Märcker, Christian Menard, Johannes Mey, Wolfgang E. Nagel, Benedikt Nöthen, Rafael Peñaloza, Michael Raitza, Jörg Stiller, Annett Ungethüm, Axel Voigt, Sascha Wunderlich:
A Hardware/Software Stack for Heterogeneous Systems. IEEE Trans. Multi Scale Comput. Syst. 4(3): 243-259 (2018) - [c112]Siva Satyendra Sahoo, Tuan D. A. Nguyen, Bharadwaj Veeravalli, Akash Kumar:
Lifetime-aware design methodology for dynamic partially reconfigurable systems. ASP-DAC 2018: 393-398 - [c111]Salim Ullah, Sanjeev Sripadraj Murthy, Akash Kumar:
SMApproxlib: library of FPGA-based approximate multipliers. DAC 2018: 157:1-157:6 - [c110]Salim Ullah, Semeen Rehman, Bharath Srinivas Prabakaran, Florian Kriebel, Muhammad Abdullah Hanif, Muhammad Shafique, Akash Kumar:
Area-optimized low-latency approximate multipliers for FPGA-based hardware accelerators. DAC 2018: 159:1-159:6 - [c109]Nusrat Jahan Lisa, Annett Ungethüm, Dirk Habich, Wolfgang Lehner, Tuan Duy Anh Nguyen, Akash Kumar:
FPGA vs. SIMD: Comparison for Main Memory-Based Fast Column Scan. DATA (Revised Selected Papers)