tag: ultra low power

MIPI Deployment In Ultra-Low-Power Streaming Sensors
By Mixel - 13 Mar, 2024 - Comments: 0

Streams of data from higher-speed sensors pose throughput and latency challenges for designers. However, optimizing a design for those criteria can come at the expense of increased power consumption if not conceived and executed carefully. A device like a high-resolution, high-frame-rate home security camera in a non-wired application requiring frequent battery changes or recharging will likely... » read more

RISC-V Ultra-Low-Power Edge Accelerators (EPFL)
By Technical Paper Link - 30 Jan, 2024 - Comments: 0

A technical paper titled “X-HEEP: An Open-Source, Configurable and Extendible RISC-V Microcontroller for the Exploration of Ultra-Low-Power Edge Accelerators” was published by researchers at EPFL. Abstract: "The field of edge computing has witnessed remarkable growth owing to the increasing demand for real-time processing of data in applications. However, challenges persist due to limitat... » read more

A Hierarchical Instruction Cache Tailored To Ultra-Low-Power Tightly-Coupled Processor Clusters
By Technical Paper Link - 15 Sep, 2023 - Comments: 0

A technical paper titled “Scalable Hierarchical Instruction Cache for Ultra-Low-Power Processors Clusters” was published by researchers at University of Bologna, ETH Zurich, and GreenWaves Technologies. Abstract: "High Performance and Energy Efficiency are critical requirements for Internet of Things (IoT) end-nodes. Exploiting tightly-coupled clusters of programmable processors (CMPs) ha... » read more

SB MOSFET-Based Ultra-Low Power Real-Time Neurons for Neuromorphic Computing (Indian Institute of Technology)
By Technical Paper Link - 14 Jun, 2023 - Comments: 0

A technical paper titled “Schottky Barrier MOSFET Enabled Ultra-Low Power Real-Time Neuron for Neuromorphic Computing” was published by researchers at the Indian Institute of Technology (IIT) Bombay. Abstract: "Energy-efficient real-time synapses and neurons are essential to enable large-scale neuromorphic computing. In this paper, we propose and demonstrate the Schottky-Barrier MOSFE... » read more

Low-Power Heterogeneous Compute Cluster For TinyML DNN Inference And On-Chip Training
By Technical Paper Link - 09 Apr, 2023 - Comments: 0

A new technical paper titled "DARKSIDE: A Heterogeneous RISC-V Compute Cluster for Extreme-Edge On-Chip DNN Inference and Training" was published by researchers at University of Bologna and ETH Zurich. Abstract "On-chip deep neural network (DNN) inference and training at the Extreme-Edge (TinyML) impose strict latency, throughput, accuracy, and flexibility requirements. Heterogeneous clus... » read more

Heterogeneous Ultra-Low-Power RISC-V SoC Running Linux
By Technical Paper Link - 13 Dec, 2022 - Comments: 0

A technical paper titled "HULK-V: a Heterogeneous Ultra-low-power Linux capable RISC-V SoC" was published by researchers at University of Bologna, University of Modena and Reggio Emilia, and ETH Zurich. "We present HULK-V: an open-source Heterogeneous Linux-capable RISC-V-based SoC coupling a 64-bit RISC-V processor with an 8-core Programmable Multi-Core Accelerator (PMCA), delivering up to... » read more

New Way To Control Spin Currents At Room Temperature
By Technical Paper Link - 13 Jul, 2022 - Comments: 0

New technical paper titled "Spin manipulation by giant valley-Zeeman spin-orbit field in atom-thick WSe2." from researchers at Beihang University (China) and University of British Columbia. Abstract: "The phenomenon originating from spin–orbit coupling provides energy-efficient strategies for spin manipulation and device applications. The broken inversion symmetry interface and the result... » read more

Always-On, Ultra-Low-Power Design Gains Traction
By Ann Mutschler - 14 Apr, 2022 - Comments: 0

A surge of electronic devices powered by batteries, combined with ever-increasing demand for more features, intelligence, and performance, is putting a premium on chip designs that require much lower power. This is especially true for always-on circuits, which are being added into AR/VR, automotive applications with over-the-air updates, security cameras, drones, and robotics. Also known as ... » read more

Wavelength Multiplexed Ultralow-Power Photonic Edge Computing
By Technical Paper Link - 25 Mar, 2022 - Comments: 0

Abstract "Advances in deep neural networks (DNNs) are transforming science and technology. However, the increasing computational demands of the most powerful DNNs limit deployment on low-power devices, such as smartphones and sensors -- and this trend is accelerated by the simultaneous move towards Internet-of-Things (IoT) devices. Numerous efforts are underway to lower power consumption, but ... » read more

Always-On DSPs
By Ed Sperling - 28 Dec, 2021 - Comments: 0

There are tradeoffs between powering circuits down to save power and waking them up to respond to voice and visual commands. Prakash Madhvapathy, director of product marketing and product management at Cadence, talks about the best ways to deploy digital signal processors, why multiple DSPs are often better than just one, and what penalties there are for various approaches. » read more

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