A Novel ISO 26262-Compliant Test Bench to Assess the Diagnostic Coverage of Software Hardening Techniques against Digital Components Random Hardware Failures


Abstract "This paper describes a novel approach to assess detection mechanisms and their diagnostic coverage, implemented using embedded software, designed to identify random hardware failures affecting digital components. In the literature, many proposals adopting fault injection methods are available, with most of them focusing on transient faults and not considering the functional safety st... » read more

Source performance metrics for EUV mask inspection


Abstract "Rules are derived to obtain specifications on radiance, power, lifetime, and cleanliness of the source for an actinic patterned mask inspection system. We focus on the physical processes and technological aspects governing the requirements of radiation sources for reticle inspection. We discuss differences and similarities to scanner with respect to magnification, system etendue, a... » read more

A Survey of Network-Based Hardware Accelerators


Abstract "Many practical data-processing algorithms fail to execute efficiently on general-purpose CPUs (Central Processing Units) due to the sequential matter of their operations and memory bandwidth limitations. To achieve desired performance levels, reconfigurable (FPGA (Field-Programmable Gate Array)-based) hardware accelerators are frequently explored that permit the processing units’ a... » read more

Performance Implications for Multi-Core RISC-V Systems with Dedicated Security Hardware


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


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

Hardware Countermeasures Benchmarking against Fault Attacks


Abstract "The development of differential fault analysis (DFA) techniques and mechanisms to inject faults into cryptographic circuits brings with it the need to use protection mechanisms that guarantee the expected level of security. The AES cipher, as a standard, has been the target of numerous DFA techniques, where its security has been compromised through different formulations and types of... » read more

Embedded Microprocessor Extension Design and Optimization for Real-Time Edge Computing


Abstract "With the development of 5G communication technology, more and more applications could be integrated into one system. Edge computing system and mixed-criticality system may integrate tasks of different criticality levels, which brings better balance in isolation and performance. Such advantages make it gradually become a research hotspot in edge computing and real-time systems with ... » read more

Gallium Oxide Power Electronic Roadmap


New research paper addressing challenges in using gallium oxide. ABSTRACT "Gallium Oxide has undergone rapid technological maturation over the last decade, pushing it to the forefront of ultra-wide band gap semiconductor technologies. Maximizing the potential for a new semiconductor system requires a concerted effort by the community to address technical barriers which limit performance. Du... » read more

Speeding Up AI Algorithms


AI at the edge is very different than AI in the cloud. Salvador Alvarez, solution architect director at Flex Logix, talks about why a specialized inferencing chip with built-in programmability is more efficient and scalable than a general-purpose processor, why high-performance models are essential for getting accurate real-time results, and how low power and ambient temperatures can affect the... » read more

Energy Harvesting Starting To Gain Traction


Tens of billions of IoT devices are powered by batteries today. Depending on the compute intensity and the battery chemistry, these devices can run steadily for short periods of time, or they can run occasionally for decades. But in some cases, they also can either harvest energy themselves, or tap into externally harvested energy, allowing them to work almost indefinitely. Energy harvesting... » read more

← Older posts Newer posts →