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Guest Editors’ Introduction: Hardware and Algorithms for On-Chip Learning
Yu Cao, Xin Li, Taemin Kim, Suyog Gupta
Article No.: 30
Structured Pruning of Deep Convolutional Neural Networks
Sajid Anwar, Kyuyeon Hwang, Wonyong Sung
Article No.: 32
Real-time application of deep learning algorithms is often hindered by high computational complexity and frequent memory accesses. Network pruning is a promising technique to solve this problem. However, pruning usually results in irregular...
Energy-Efficient and Improved Image Recognition with Conditional Deep Learning
Priyadarshini Panda, Abhronil Sengupta, Kaushik Roy
Article No.: 33
Deep-learning neural networks have proven to be very successful for a wide range of recognition tasks across modern computing platforms. However, the computational requirements associated with such deep nets can be quite high, and hence their...
Distributed In-Memory Computing on Binary RRAM Crossbar
Leibin Ni, Hantao Huang, Zichuan Liu, Rajiv V. Joshi, Hao Yu
Article No.: 36
The recently emerging resistive random-access memory (RRAM) can provide nonvolatile memory storage but also intrinsic computing for matrix-vector multiplication, which is ideal for the low-power and high-throughput data analytics accelerator...
Stochastic CBRAM-Based Neuromorphic Time Series Prediction System
Cory Merkel, Dhireesha Kudithipudi, Manan Suri, Bryant Wysocki
Article No.: 37
In this research, we present a Conductive-Bridge RAM (CBRAM)-based neuromorphic system which efficiently addresses time series prediction. We propose a new (i) voltage-mode, stochastic, multiweight synapse circuit based on experimental bi-stable...
Section: Special Issue on Hardware and Algorithms for Learning On-a-chip
Editorial for JETC Special Issue on Alternative Computing Systems
Rasit O. Topaloglu, Naveen Verma
Article No.: 38
High-Performance Computing with Quantum Processing Units
Keith A. Britt, Travis S. Humble
Article No.: 39
The prospects of quantum computing have driven efforts to realize fully functional quantum processing units (QPUs). Recent success in developing proof-of-principle QPUs has prompted the question of how to integrate these emerging processors into...
Real-Time SoC Security against Passive Threats Using Crypsis Behavior of Geckos
Krishnendu Guha, Debasri Saha, Amlan Chakrabarti
Article No.: 41
The rapid evolution of the embedded era has witnessed globalization for the design of SoC architectures in the semiconductor design industry. Though issues of cost and stringent marketing deadlines have been resolved in such a methodology, yet the...