• case-insensitive prefix search: default
  e.g., sig matches "SIGIR" as well as "signal"
• exact word search: append dollar sign ($) to word
  e.g., graph$ matches "graph", but not "graphics"
• boolean and: separate words by space
  e.g., codd model
• boolean or: connect words by pipe symbol (|)
  e.g., graph|network

Update May 7, 2017: Please note that we had to disable the phrase search operator (.) and the boolean not operator (-) due to technical problems. For the time being, phrase search queries will yield regular prefix search result, and search terms preceded by a minus will be interpreted as regular (positive) search terms.

found 57 matches

• 2024
• 
  Shaktimayee Mishra, Asit Kumar Panda, Arun Agarwal:
  Microstrip MIMO antenna design with self-improved optimisation strategy. Int. J. Wirel. Mob. Comput. 27(3): 203-216 (2024)
• 
  Dillip Kumar Mishra, Asit Mohanty, Prakash K. Ray:
  An optimal frequency regulation in interconnected power system through differential evolution and firefly algorithm. Soft Comput. 28(1): 593-606 (2024)
• 2021
• 
  Alok Kumar Mishra, Prakash K. Ray, Ranjan Kumar Mallick, Asit Mohanty, Soumya Ranjan Das:
  Adaptive fuzzy controlled hybrid shunt active power filter for power quality enhancement. Neural Comput. Appl. 33(5): 1435-1452 (2021)
• 
  Asit Kumar Mishra, Federico Tartarini, Zuraimi Sultan, Stefano Schiavon:
  Automated decontamination of workspaces using UVC coupled with occupancy detection. CoRR abs/2101.12581 (2021)
• 
  Asit K. Mishra, Jorge Albericio Latorre, Jeff Pool, Darko Stosic, Dusan Stosic, Ganesh Venkatesh, Chong Yu, Paulius Micikevicius:
  Accelerating Sparse Deep Neural Networks. CoRR abs/2104.08378 (2021)
• 
  Anup Sarma, Sonali Singh, Huaipan Jiang, Ashutosh Pattnaik, Asit K. Mishra, Vijaykrishnan Narayanan, Mahmut T. Kandemir, Chita R. Das:
  Exploiting Activation based Gradient Output Sparsity to Accelerate Backpropagation in CNNs. CoRR abs/2109.07710 (2021)
• 2020
• 
  Alok Kumar Mishra, Soumya Ranjan Das, Prakash K. Ray, Ranjan Kumar Mallick, Asit Mohanty, Dillip Kumar Mishra:
  PSO-GWO Optimized Fractional Order PID Based Hybrid Shunt Active Power Filter for Power Quality Improvements. IEEE Access 8: 74497-74512 (2020)
• 2019
• 
  Asit Mishra, Marcel Loomans, Risto Kosonen:
  Actimetry for Estimating Occupant Activity Levels in Buildings: A Step Toward Optimal and Energy-Efficient Indoor Conditioning. IEEE Consumer Electron. Mag. 8(1): 67-71 (2019)
• 
  Ashutosh Pattnaik, Xulong Tang, Onur Kayiran, Adwait Jog, Asit K. Mishra, Mahmut T. Kandemir, Anand Sivasubramaniam, Chita R. Das:
  Opportunistic computing in GPU architectures. ISCA 2019: 210-223
• 2018
• 
  Dillip Kumar Mishra, Tapas Kumar Panigrahi, Prakash K. Ray, Asit Mohanty:
  Performance enhancement of AGC under open market scenario using TDOFPID and IPFC controller. J. Intell. Fuzzy Syst. 35(5): 4933-4943 (2018)
• 
  Philip Colangelo, Nasibeh Nasiri, Eriko Nurvitadhi, Asit K. Mishra, Martin Margala, Kevin Nealis:
  Exploration of Low Numeric Precision Deep Learning Inference Using Intel® FPGAs. FCCM 2018: 73-80
• 
  Philip Colangelo, Nasibeh Nasiri, Eriko Nurvitadhi, Asit K. Mishra, Martin Margala, Kevin Nealis:
  Exploration of Low Numeric Precision Deep Learning Inference Using Intel® FPGAs: (Abstract Only). FPGA 2018: 294
• 
  Duncan J. M. Moss, Krishnan Srivatsan, Eriko Nurvitadhi, Piotr Ratuszniak, Chris Johnson, Jaewoong Sim, Asit K. Mishra, Debbie Marr, Suchit Subhaschandra, Philip Heng Wai Leong:
  A Customizable Matrix Multiplication Framework for the Intel HARPv2 Xeon+FPGA Platform: A Deep Learning Case Study. FPGA 2018: 107-116
• 
  Eriko Nurvitadhi, Jeffrey J. Cook, Asit K. Mishra, Debbie Marr, Kevin Nealis, Philip Colangelo, Andrew C. Ling, Davor Capalija, Utku Aydonat, Sergey Y. Shumarayev, Aravind Dasu:
  In-Package Domain-Specific ASICs for Intel® Stratix® 10 FPGAs: A Case Study of Accelerating Deep Learning Using TensorTile ASIC(Abstract Only). FPGA 2018: 287
• 
  Eriko Nurvitadhi, Jeffrey J. Cook, Asit K. Mishra, Debbie Marr, Kevin Nealis, Philip Colangelo, Andrew C. Ling, Davor Capalija, Utku Aydonat, Aravind Dasu, Sergey Y. Shumarayev:
  In-Package Domain-Specific ASICs for Intel® Stratix® 10 FPGAs: A Case Study of Accelerating Deep Learning Using TensorTile ASIC. FPL 2018: 106-110
• 
  Asit K. Mishra, Debbie Marr:
  Apprentice: Using Knowledge Distillation Techniques To Improve Low-Precision Network Accuracy. ICLR (Poster) 2018
• 
  Asit K. Mishra, Eriko Nurvitadhi, Jeffrey J. Cook, Debbie Marr:
  WRPN: Wide Reduced-Precision Networks. ICLR (Poster) 2018
• 
  Asit K. Mishra, Debbie Marr:
  WRPN & Apprentice: Methods for Training and Inference using Low-Precision Numerics. CoRR abs/1803.00227 (2018)
• 
  Philip Colangelo, Nasibeh Nasiri, Asit K. Mishra, Eriko Nurvitadhi, Martin Margala, Kevin Nealis:
  Exploration of Low Numeric Precision Deep Learning Inference Using Intel FPGAs. CoRR abs/1806.11547 (2018)
• 2017
• 
  Asit K. Mishra, Eriko Nurvitadhi, Ganesh Venkatesh, Jonathan Pearce, Debbie Marr:
  Fine-grained accelerators for sparse machine learning workloads. ASP-DAC 2017: 635-640
• 
  Duncan J. M. Moss, Eriko Nurvitadhi, Jaewoong Sim, Asit K. Mishra, Debbie Marr, Suchit Subhaschandra, Philip Heng Wai Leong:
  High performance binary neural networks on the Xeon+FPGA™ platform. FPL 2017: 1-4
• 
  Asit K. Mishra, Jeffrey J. Cook, Eriko Nurvitadhi, Debbie Marr:
  WRPN: Training and Inference using Wide Reduced-Precision Networks. CoRR abs/1704.03079 (2017)
• 
  Asit K. Mishra, Eriko Nurvitadhi, Jeffrey J. Cook, Debbie Marr:
  WRPN: Wide Reduced-Precision Networks. CoRR abs/1709.01134 (2017)
• 
  Supriya Kapur, Asit K. Mishra, Debbie Marr:
  Low Precision RNNs: Quantizing RNNs Without Losing Accuracy. CoRR abs/1710.07706 (2017)
• 
  Asit K. Mishra, Debbie Marr:
  Apprentice: Using Knowledge Distillation Techniques To Improve Low-Precision Network Accuracy. CoRR abs/1711.05852 (2017)
• 2016
• 
  Ashutosh Pattnaik, Xulong Tang, Adwait Jog, Onur Kayiran, Asit K. Mishra, Mahmut T. Kandemir, Onur Mutlu, Chita R. Das:
  Scheduling Techniques for GPU Architectures with Processing-In-Memory Capabilities. PACT 2016: 31-44
• 
  Eriko Nurvitadhi, Asit K. Mishra, Yu Wang, Ganesh Venkatesh, Debbie Marr:
  Hardware accelerator for analytics of sparse data. DATE 2016: 1616-1621
• 
  Eriko Nurvitadhi, Jaewoong Sim, David Sheffield, Asit K. Mishra, Krishnan Srivatsan, Debbie Marr:
  Accelerating recurrent neural networks in analytics servers: Comparison of FPGA, CPU, GPU, and ASIC. FPL 2016: 1-4
• 
  Eriko Nurvitadhi, David Sheffield, Jaewoong Sim, Asit K. Mishra, Ganesh Venkatesh, Debbie Marr:
  Accelerating Binarized Neural Networks: Comparison of FPGA, CPU, GPU, and ASIC. FPT 2016: 77-84
• 
  Bhargava Gopireddy, Choungki Song, Josep Torrellas, Nam Sung Kim, Aditya Agrawal, Asit K. Mishra:
  ScalCore: Designing a core for voltage scalability. HPCA 2016: 681-693

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