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