18 papers · ranked by Valyu relevance
Yousun Ko, Bernd Burgstaller
—Soft errors are a type of transient digital signal corruption that occurs in digital hardware components such as the internal flip-flops of CPU pipelines, the register file, memory cells, and even internal communication buses. Soft errors are caused by environmental radioactivity, magnetic interference, lasers, and…
Hyungmin Cho, Chen-Yong Cher, Thomas Shepherd, Subhasish Mitra
The effects of soft errors in processor cores have been widely studied. However, little has been published about soft errors in uncore components, such as memory subsystem and I/O controllers, of a System-on-a-Chip (SoC). In this work, we study how soft errors in uncore components affect system-level behaviors. We have…
Kanagaraj Ramasamy, Viswanathan Nallasamy
One such problem that is important in designing reliable circuits is soft due to high-energy particle strikes in combinational circuits. Soft errors affect the configuration bits that determine the circuit routing and logic and produce permanent errors. Though soft errors are temporarily natured, the constant…
Mostafa Kishani, Mehdi B. Tahoori, Hossein Asadi
—In recent years, high availability and reliability of Data Storage Systems (DSS) have been significantly threatened by soft errors occurring in storage controllers. Due to their specific functionality and hardware-software stack, error propagation and manifestation in DSS is quite different from general-purpose…
Seyyed Amir Asghari, Okyay Kaynak, Hassan Taheri
Electronic equipment operating in harsh environments such as space is subjected to a range of threats. The most important of these is radiation that gives rise to permanent and transient errors on microelectronic components. The occurrence rate of transient errors is significantly more than permanent errors. The…
Peng Su, Yuhang Li, Zhonghai Lu, Dejiu Chen + 1 more
With the advance of Artificial Intelligence, Deep Neural Networks are widely employed in various sensor-based systems to analyze operational conditions. However, due to the inherently nondeterministic and probabilistic natures of neural networks, the assurance of overall system performance could become a challenging…
Weihang Wang, Xuewu Li, Lei Chen, Huabo Sun + 3 more
'Pak Kwong Chan' 'Stefania Perri'] Aerospace-grade SRAM-based field-programmable gate arrays (FPGAs) used in space applications are highly susceptible to single event effects, leading to soft errors in FPGAs. Additionally, as FPGAs scale up, the difficulty of correcting soft errors also increases. This paper proposes…
Takayuki Yagihashi, Makoto Sakai, Masashi Yamanaka, Yudai Kawakami + 4 more
Purpose Boron neutron capture therapy (BNCT) is a promising cancer treatment; however, it poses the risk of soft errors in cardiac implantable electronic devices (CIEDs). This study aimed to assess the occurrence of soft errors in CIEDs during BNCT and to correlate these errors with the neutron flux. Materials and…
Haitong Huang, Xinghua Xue, Cheng Liu, Ying Wang + 4 more
'Long Cheng' 'Huawei Li' 'Xiaowei Li'] Abstract—Soft errors in large VLSI circuits pose dramatic influence on computing- and memory-intensive neural network (NN) processing. Understanding the influence of soft errors on NNs is critical to protect against soft errors for reliable NN processing. Prior work mainly rely on…
Syed Qutub, Michael Paulitsch, Karthik Pattabiraman, Korbinian Hagn + 5 more
Object Detection Models Authors: ['Syed Qutub' 'Michael Paulitsch' 'Karthik Pattabiraman' 'Korbinian Hagn' 'Fabian Oboril' 'Cornelius Buerkle' 'Kay-Ulrich Scholl' 'Gereon Hinz' 'Alois Knoll'] As transformer-based object detection models progress, their impact in critical sectors like autonomous vehicles and aviation is…
Lulu Ding, Kun Wang, Hongmei Zhang, Shaohui Xie + 5 more
DNA storage offers exceptional information density and archival longevity, but is constrained by the complex, heterogeneous errors inherent to synthesis, storage, and sequencing. Conventional error-correction schemes often rely on excessive logical redundancy to mitigate these biochemical imperfections, thereby…
Kevin D. Volkel, Paul W. Hook, Albert Keung, Winston Timp + 1 more
As nanopore technology reaches ever higher throughput and accuracy, it becomes an increasingly viable candidate for reading out DNA data storage. Nanopore sequencing offers considerable flexibility by allowing long reads, real-time signal analysis, and the ability to read both DNA and RNA. We need flexible and…
Pengyao Ping, Shuquan Su, Xinhui Cai, Tian Lan + 5 more
Although the per-base erring rate of NGS is very low at 0.1% to 0.5%, the percentage/probability of erroneous reads in a short-read sequencing dataset can be as high as 10% to 15% or in the number of millions. Correction of these wrongly sequenced reads to retrieve their huge missing value will improve many downstream…
Patrícia Monteiro, João Lourenço, António Ravara
Resumo As falhas de software estão com frequência associadas a acidentes com graves consequências económicas e/ou humanas, pelo que se torna imperioso investir na validação do software, nomeadamente daquele que é crítico. Este artigo endereça a temática da qualidade do software através de uma análise comparativa da…
Adiesha Liyanage, Robyn Burger, Allison Shi, Braeden Sopp + 2 more
Single-cell sequencing (SCS) enables investigating tumor evolution at a single cell resolution. A common type of analysis to investigate evolutionary structure from an SCS experiment is to determine a phylogenetic tree structure from the data. This problem has been well-studied under the assumption that mutations only…
Authors not listed
The rapid growth of worldwide computing power has transformed in silico chemistry into a discipline that is integrated into the daily work of many chemists. Nowadays, researchers find it increasingly straightforward to predict a wide range of molecular properties and chemi- cal processes at reasonable computational…
Authors not listed
Development of meta-generalized gradient approximations (meta-GGAs) has generally led to more accurate density-functional approximations, albeit ones that have more stringent requirements for the quadrature grids that are used to evaluate the exchange-correlation energy. Here, we demonstrate that grid-induced errors…
Ziwei Chen, Fuzhou Gong, Liang Ma, Lin Wan
Single-cell sequencing (SCS) data provide unprecedented insights into intratumoral heterogeneity. With SCS, we can better characterize clonal genotypes and build phylogenetic relationships of tumor cells/clones. However, high technical errors bring much noise into the genetic data, thus limiting the application of…