category: Architectures

category: IoT, Security & Automotive

Analog Edge Inference with ReRAM
By Technical Paper Link - 02 May, 2022 - Comments: 0

Abstract "As the demands of big data applications and deep learning continue to rise, the industry is increasingly looking to artificial intelligence (AI) accelerators. Analog in-memory computing (AiMC) with emerging nonvolatile devices enable good hardware solutions, due to its high energy efficiency in accelerating the multiply-and-accumulation (MAC) operation. Herein, an Applied Materials... » read more

HD Map (EdgeMap) Crowdsources Data From Connected Vehicles in Auto Edge Computing
By Technical Paper Link - 30 Apr, 2022 - Comments: 0

New research paper from University of Nebraska-Lincoln, Xidian University and University of North Carolina at Charlotte. Abstract "High definition (HD) map needs to be updated frequently to capture road changes, which is constrained by limited specialized collection vehicles. To maintain an up-to-date map, we explore crowdsourcing data from connected vehicles. Updating the map collaborati... » read more

A Case for Transparent Reliability in DRAM Systems
By Technical Paper Link - 29 Apr, 2022 - Comments: 0

New technical paper from ETH Zurich and TU Delft. Abstract "Today's systems have diverse needs that are difficult to address using one-size-fits-all commodity DRAM. Unfortunately, although system designers can theoretically adapt commodity DRAM chips to meet their particular design goals (e.g., by reducing access timings to improve performance, implementing system-level RowHammer mitigati... » read more

Performance Implications for Multi-Core RISC-V Systems with Dedicated Security Hardware
By Technical Paper Link - 18 Apr, 2022 - Comments: 0

Abstract "The RISC-V instruction set architecture (ISA) is a promising open-source architecture supporting the Open Era of Computing. As RISC-V matures, consumers, industry leaders, and nation states are looking at the potential benefits RISC-V offers –especially for secure systems which may require privileged architecture implementations, physical memory protection (PMP), or trusted executi... » read more

Customizable FPGA-Based Hardware Accelerator for Standard Convolution Processes Empowered with Quantization Applied to LiDAR Data
By Technical Paper Link - 18 Apr, 2022 - Comments: 0

Abstract "In recent years there has been an increase in the number of research and developments in deep learning solutions for object detection applied to driverless vehicles. This application benefited from the growing trend felt in innovative perception solutions, such as LiDAR sensors. Currently, this is the preferred device to accomplish those tasks in autonomous vehicles. There is a bro... » read more

DarkGates: A Hybrid Power-Gating Architecture to Mitigate the Performance Impact of Dark-Silicon in High Performance Processors
By Technical Paper Link - 12 Apr, 2022 - Comments: 0

New research paper from ETH Zurich and others. Abstract "To reduce the leakage power of inactive (dark) silicon components, modern processor systems shut-off these components' power supply using low-leakage transistors, called power-gates. Unfortunately, power-gates increase the system's power-delivery impedance and voltage guardband, limiting the system's maximum attainable voltage (i.e., ... » read more

Nonvolatile Capacitive Crossbar Array for In-Memory Computing
By Technical Paper Link - 29 Mar, 2022 - Comments: 0

Abstract "Conventional resistive crossbar array for in-memory computing suffers from high static current/power, serious IR drop, and sneak paths. In contrast, the “capacitive” crossbar array that harnesses transient current and charge transfer is gaining attention as it 1) only consumes dynamic power, 2) has no DC sneak paths and avoids severe IR drop (thus, selector-free), and 3) can be f... » 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

Rotating neurons for all-analog implementation of cyclic reservoir computing
By Technical Paper Link - 23 Mar, 2022 - Comments: 0

Abstract "Hardware implementation in resource-efficient reservoir computing is of great interest for neuromorphic engineering. Recently, various devices have been explored to implement hardware-based reservoirs. However, most studies were mainly focused on the reservoir layer, whereas an end-to-end reservoir architecture has yet to be developed. Here, we propose a versatile method for implemen... » read more

E/E Architecture Synthesis: Challenges and Technologies
By Technical Paper Link - 19 Mar, 2022 - Comments: 0

ACADEMIC PAPER Abstract "In recent years, the electrical and/or electronic architecture of vehicles has been significantly evolving. The new generation of cars demands a considerable amount of computational power due to a large number of safety-critical applications and driver-assisted functionalities. Consequently, a high-performance computing unit is required to provide the demanded pow... » read more

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