• 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 23 matches

• 2019
• 
  Jungwook Choi, Swagath Venkataramani:
  Approximate Computing Techniques for Deep Neural Networks. Approximate Circuits 2019: 307-329
• 
  Saman Fröhlich, Daniel Große, Rolf Drechsler:
  Approximate Hardware Generation Using Formal Techniques. Approximate Circuits 2019: 155-174
• 
  Muhammad Abdullah Hanif, Rehan Hafiz, Muhammad Shafique:
  Configurable Models and Design Space Exploration for Low-Latency Approximate Adders. Approximate Circuits 2019: 3-23
• 
  Muhammad Abdullah Hanif, Muhammad Usama Javed, Rehan Hafiz, Semeen Rehman, Muhammad Shafique:
  Hardware-Software Approximations for Deep Neural Networks. Approximate Circuits 2019: 269-288
• 
  Soheil Hashemi, Sherief Reda:
  Approximate Multipliers and Dividers Using Dynamic Bit Selection. Approximate Circuits 2019: 25-44
• 
  Soheil Hashemi, Hokchhay Tann, Sherief Reda:
  Approximate Logic Synthesis Using Boolean Matrix Factorization. Approximate Circuits 2019: 141-154
• 
  Mohsen Imani, Tajana Simunic Rosing:
  Approximate CPU and GPU Design Using Emerging Memory Technologies. Approximate Circuits 2019: 383-398
• 
  Natalie D. Enright Jerger, Joshua San Miguel:
  Approximate Cache Architectures. Approximate Circuits 2019: 399-416
• 
  Honglan Jiang, Leibo Liu, Fabrizio Lombardi, Jie Han:
  Approximate Arithmetic Circuits: Design and Evaluation. Approximate Circuits 2019: 67-98
• 
  Nam Sung Kim, Ulya R. Karpuzcu:
  Approximate Ultra-Low Voltage Many-Core Processor Design. Approximate Circuits 2019: 371-382
• 
  Seogoo Lee, Andreas Gerstlauer:
  Approximate High-Level Synthesis of Custom Hardware. Approximate Circuits 2019: 205-223
• 
  Sana Mazahir, Muhammad Kamran Ayub, Osman Hasan, Muhammad Shafique:
  Probabilistic Error Analysis of Approximate Adders and Multipliers. Approximate Circuits 2019: 99-120
• 
  Bharath Srinivas Prabakaran, Walaa El-Harouni, Semeen Rehman, Muhammad Shafique:
  Approximate Multi-Accelerator Tiled Architecture for Energy-Efficient Motion Estimation. Approximate Circuits 2019: 249-268
• 
  Arnab Raha, Vijay Raghunathan:
  Approximate Systems: Synergistically Approximating Sensing, Computing, Memory, and Communication Subsystems for Energy Efficiency. Approximate Circuits 2019: 349-368
• 
  Ashish Ranjan, Swagath Venkataramani, Shubham Jain, Younghoon Kim, Shankar Ganesh Ramasubramanian, Arnab Raha, Kaushik Roy, Anand Raghunathan:
  Automatic Synthesis Techniques for Approximate Circuits. Approximate Circuits 2019: 123-140
• 
  Semeen Rehman, Bharath Srinivas Prabakaran, Walaa El-Harouni, Muhammad Shafique, Jörg Henkel:
  Heterogeneous Approximate Multipliers: Architectures and Design Methodologies. Approximate Circuits 2019: 45-66
• 
  Lukás Sekanina, Zdenek Vasícek, Vojtech Mrazek:
  Automated Search-Based Functional Approximation for Digital Circuits. Approximate Circuits 2019: 175-203
• 
  Deepashree Sengupta, Jiang Hu, Sachin S. Sapatnekar:
  Error Analysis and Optimization in Approximate Arithmetic Circuits. Approximate Circuits 2019: 225-246
• 
  Hokchhay Tann, Soheil Hashemi, Francesco Buttafuoco, Sherief Reda:
  Approximate Computing for Iris Recognition Systems. Approximate Circuits 2019: 331-348
• 
  Hokchhay Tann, Soheil Hashemi, Sherief Reda:
  Lightweight Deep Neural Network Accelerators Using Approximate SW/HW Techniques. Approximate Circuits 2019: 289-305
• 
  Weng-Fai Wong, Pooja Roy, Rajashi Ray, Nhut-Minh Ho:
  Compilation and Other Software Techniques Enabling Approximate Computing. Approximate Circuits 2019: 443-463
• 
  Amir Yazdanbakhsh, Gennady Pekhimenko, Hadi Esmaeilzadeh, Onur Mutlu, Todd C. Mowry:
  Towards Breaking the Memory Bandwidth Wall Using Approximate Value Prediction. Approximate Circuits 2019: 417-441
• 
  Sherief Reda, Muhammad Shafique:
  Approximate Circuits, Methodologies and CAD. Springer 2019, ISBN 978-3-319-99321-8 [contents]