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Sepehr Tabrizchi, Shaahin Angizi and Arman Roohi
Convolutional Neural Networks (CNNs), due to their recent successes, have gained lots of attention in various vision-based applications. They have proven to produce incredible results, especially on big data, that require high processing demands. However...
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Atousa Jafari, Christopher Münch and Mehdi Tahoori
Computing data-intensive applications on the von Neumann architecture lead to significant performance and energy overheads. The concept of computation in memory (CiM) addresses the bottleneck of von Neumann machines by reducing the data movement in the c...
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Mohammad Nasim Imtiaz Khan and Swaroop Ghosh
Several promising non-volatile memories (NVMs) such as magnetic RAM (MRAM), spin-transfer torque RAM (STTRAM), ferroelectric RAM (FeRAM), resistive RAM (RRAM), and phase-change memory (PCM) are being investigated to keep the static leakage within a toler...
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Mohammad Nasim Imtiaz Khan, Shivam Bhasin, Bo Liu, Alex Yuan, Anupam Chattopadhyay and Swaroop Ghosh
Emerging Non-Volatile Memories (NVMs) such as Magnetic RAM (MRAM), Spin-Transfer Torque RAM (STTRAM), Phase Change Memory (PCM) and Resistive RAM (RRAM) are very promising due to their low (static) power operation, high scalability and high performance. ...
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