Search Results - "DeMara Ronald F."

NV-Clustering: Normally-Off Computing Using Non-Volatile Datapaths by Roohi, Arman, DeMara, Ronald F.

“…With technology downscaling, static power dissipation presents a crucial challenge to multicore, many-core, and System-on-Chip (SoC) architectures due to the…”
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Energy-Efficient Recurrent Neural Network With MRAM-Based Probabilistic Activation Functions by Sheikhfaal, Shadi, Angizi, Shaahin, DeMara, Ronald F.

“…Herein, we develop a programmable energy-efficient hardware implementation for Recurrent Neural Networks (RNNs) with Resistive Random-Access Memory (ReRAM)…”
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Energy-Efficient Nonvolatile Reconfigurable Logic Using Spin Hall Effect-Based Lookup Tables by Zand, Ramtin, Roohi, Arman, Deliang Fan, DeMara, Ronald F.

“…In this paper, we leverage magnetic tunnel junction (MTJ) devices to design an energy-efficient nonvolatile lookup table (LUT), which utilizes a spin Hall…”
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High-Accuracy Deep Belief Network: Fuzzy Neural Networks Using MRAM-Based Stochastic Neurons by Pourmeidani, Hossein, Demara, Ronald F.

“…Two-terminal magnetoresistive random access memory (MRAM) devices provide a recent approach to intrinsically realizing stochastic neuronal behavior in…”
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Short-Term Long-Term Compute-in-Memory Architecture: A Hybrid Spin/CMOS Approach Supporting Intrinsic Consolidation by Sheikhfaal, Shadi, Demara, Ronald F.

“…Biological memory structures impart enormous retention capacity while automatically providing vital functions for chronological information management and…”
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Read-Tuned STT-RAM and eDRAM Cache Hierarchies for Throughput and Energy Optimization by Khoshavi, Navid, Demara, Ronald F.

“…As capacity and complexity of on-chip cache memory hierarchy increases, the service cost to the critical loads from last level cache (LLC), which are…”
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Autonomous Binarized Focal Loss Enhanced Model Compression Design Using Tensor Train Decomposition by Liu, Mingshuo, Luo, Shiyi, Han, Kevin, DeMara, Ronald F, Bai, Yu

“…Deep learning methods have exhibited the great capacity to process object detection tasks, offering a practical and viable approach in many applications. When…”
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Hybrid spin‐CMOS stochastic spiking neuron for high‐speed emulation of In vivo neuron dynamics by Pyle, Steven D, Camsari, Kerem Y, DeMara, Ronald F

“…The spintronic stochastic spiking neuron (S3N) developed herein realises biologically mimeticstochastic spiking characteristics observed within in vivo…”
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Subthreshold Spintronic Stochastic Spiking Neural Networks With Probabilistic Hebbian Plasticity and Homeostasis by Pyle, Steven D., Zand, Ramtin, Sheikhfaal, Shadi, Demara, Ronald F.

“…The neural sampling core (NSC) proposed herein offers a spintronic device-based circuit and learning mechanism utilizing imprecise and stochastic components,…”
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Energy Efficient Mobile Service Computing With Differential Spintronic-C-Elements: A Logic-in-Memory Asynchronous Computing Paradigm by Samiee, Ashkan, Sun, Yunchuan, Demara, Ronald F., Choi, Yoonsuk, Bai, Yu

“…During recent years, researchers throughout academia and industry have been advancing the theory, designing, and applications of mobile service computing…”
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Nonuniform Compressive Sensing via Ohmic Voltage Attenuation: A Memristive Crossbar Design Approach Leveraging Intrinsic Computation by Tatulian, Adrian, DeMara, Ronald F.

“…Compressive sensing (CS) is a promising technique for transmitting signals in power-critical applications such as Internet of Things (IoT) devices. Nonuniform…”
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Promoting Community of Inquiry in Synchronous Team Design Activities for Remote Engineering Laboratory Instruction by Chen, Baiyun, DeMara, Ronald F.

“…The COVID-19 pandemic has introduced challenges to delivering laboratory-based STEM curricula. This study evaluates students' learning experience in a…”
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A Tunable Majority Gate-Based Full Adder Using Current-Induced Domain Wall Nanomagnets by Roohi, Arman, Zand, Ramtin, DeMara, Ronald F.

“…Domain wall nanomagnet (DWNM)-based devices have been extensively studied as a promising alternative to the conventional CMOS technology in both the memory and…”
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MRAM-Enhanced Low Power Reconfigurable Fabric With Multi-Level Variation Tolerance by Zand, Ramtin, DeMara, Ronald F.

“…A hybrid device technology reconfigurable logic fabric is proposed which leverages the cooperating advantages of distinct magnetic random access memory…”
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Intrinsic Evolution of Truncated Puiseux Series on a Mixed-Signal Field-Programmable SoC by Thangavel, Vignesh, Song, Zi-Xia, Demara, Ronald F.

“…Mixed-signal system-on-chip (SoC) devices offer single-chip solutions, but face challenges of hardware-software co-design optimization, device signal range…”
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ApGAN: Approximate GAN for Robust Low Energy Learning From Imprecise Components by Roohi, Arman, Sheikhfaal, Shadi, Angizi, Shaahin, Fan, Deliang, DeMara, Ronald F

“…A Generative Adversarial Network (GAN) is an adversarial learning approach which empowers conventional deep learning methods by alleviating the demands of…”
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Adaptive Non-Uniform Compressive Sensing Using SOT-MRAM Multi-Bit Precision Crossbar Arrays by Salehi, Soheil, DeMara, Ronald F.

“…A Compressive Sensing (CS) approach is applied to utilize intrinsic computation capabilities of Spin-Orbit Torque Magnetic Random Access Memory (SOT-MRAM)…”
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Spin-Orbit Torque Neuromorphic Fabrics for Low-Leakage Reconfigurable In-Memory Computation by Liu, Mingshuo, Borulkar, Payal, Hossain, Mousam, Demara, Ronald F., Bai, Yu

“…In this article, a neural spin-orbit torque (NSOT)-based emerging device technology reconfigurable fabric is developed and assessed as a low-leakage power…”
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Voltage-Based Concatenatable Full Adder Using Spin Hall Effect Switching by Roohi, Arman, Zand, Ramtin, Fan, Deliang, DeMara, Ronald F.

“…Magnetic tunnel junction (MTJ)-based devices have been studied extensively as a promising candidate to implement hybrid energy-efficient computing circuits due…”
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Non-Volatile Spintronic Flip-Flop Design for Energy-Efficient SEU and DNU Resilience by Alghareb, Faris S., Zand, Ramtin, Demara, Ronald F.

“…In this paper, low-energy radiation-hardening approaches are proposed to develop non-volatile (NV) flip-flop (FF) circuits using spintronic devices. In…”
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