Results 21 to 30 of about 168,024 (182)
Study on Energy Reduction Techniques in STT-RAM
Journal of Physics: Conference Series, 2021 Abstract Spin Transfer Torque Random Access Memory (STT-RAM) is suitable to be considered for cosmic memory. In STT-RAM the altercative period of attractive burrowing intersection is exchanged by the showing up of turn enraptured current over the intersection and it appear to be the most preparing elective with the more thickness and low
Vura Sai Durga Eswar +2 more
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Design and Evaluation of a 28-nm FD-SOI STT-MRAM for Ultra-Low Power Microcontrollers
IEEE Access, 2019 The complexity of embedded devices increases as today's applications request always more services. However, the power consumption of systems-on-chip has significantly increased due to the high-density integration and the high leakage power of current ...
Guillaume Patrigeon +5 more
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DESTINY: A Comprehensive Tool with 3D and Multi-Level Cell Memory Modeling Capability
Journal of Low Power Electronics and Applications, 2017 To enable the design of large capacity memory structures, novel memory technologies such as non-volatile memory (NVM) and novel fabrication approaches, e.g., 3D stacking and multi-level cell (MLC) design have been explored.
Sparsh Mittal +2 more
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Read-Tuned STT-RAM and eDRAM Cache Hierarchies for Throughput and Energy Optimization
IEEE Access, 2018 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 frequently repeated, has become a major concern.
Navid Khoshavi, Ronald F. Demara
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Design and Analysis of an Ultra-Dense, Low-Leakage, and Fast FeFET-Based Random Access Memory Array
IEEE Journal on Exploratory Solid-State Computational Devices and Circuits, 2019 High static power associated with static random access memory (SRAM) represents a bottleneck in increasing the amount of on-chip memory. Novel, emerging nonvolatile memories such as spintransfer torque magnetic random access memory (STT-RAM), resistive ...
Dayane Reis +11 more
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AIP Advances, 2017 We present a detailed numerical analysis of switching efficiency for the recently proposed dual referenced composite free layer structure with respect to Gilbert damping. Low anisotropy assistive layers enable reduction of Gilbert damping and an increase
Roy Bell, Jiaxi Hu, R. H. Victora
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Multi-Port 1R1W Transpose Magnetic Random Access Memory by Hierarchical Bit-Line Switching
IEEE Access, 2019 Emerging Magnetic Random-Access Memory (MRAM) has shown a great potential to replace Static-RAM (SRAM) and Dynamic-RAM (DRAM) in the working memories including Cache and main memory. MRAM benefits from its high-density, fast speed, low standby power, and
Liang Chang +3 more
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Leveraging MLC STT-RAM for energy-efficient CNN training [PDF]
Proceedings of the International Symposium on Memory Systems, 2018 Graphics Processing Units (GPUs) are extensively used in training of convolutional neural networks (CNNs) due to their promising compute capability. However, GPU memory capacity, bandwidth, and energy are becoming critical system bottlenecks with increasingly larger and deeper training models.
Hengyu Zhao, Jishen Zhao
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TTEC: Data Allocation Optimization for Morphable Scratchpad Memory in Embedded Systems
IEEE Access, 2018 Scratchpad memory (SPM) is widely utilized in many embedded systems as a software-controlled on-chip memory to replace the traditional cache. New non-volatile memory (NVM) has emerged as a promising candidate to replace SRAM in SPM, due to its ...
Linbo Long +3 more
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coqui-ai/STT: Coqui STT 1.4.0-alpha.3
, 2022 STT - The deep learning toolkit for Speech-to-Text.
Chris Lord +30 more
core +1 more source