Results 21 to 30 of about 22,124 (260)

SIMDRAM: a framework for bit-serial SIMD processing using DRAM

International Conference on Architectural Support for Programming Languages and Operating Systems, 2021
Processing-using-DRAM has been proposed for a limited set of basic operations (i.e., logic operations, addition). However, in order to enable full adoption of processing-using-DRAM, it is necessary to provide support for more complex operations.
Nastaran Hajinazar, Geraldo F. Oliveira, Sven Gregorio, João Dinis Ferreira, Nika Mansouri-Ghiasi, Minesh Patel, M. Alser, Saugata Ghose, Juan Gómez-Luna, O. Mutlu   +9 more
semanticscholar   +1 more source

A Type 2 Diabetes Policy Model That Predicts Remaining Life Expectancy, Quality-Adjusted Life Expectancy and Healthcare Costs for Use in Economic Evaluation, Incorporating Equity Concerns. [PDF]

Diabetes Obes Metab
ABSTRACT Aims To illustrate a T2DM policy model incorporating socio‐economic status. Materials and Methods Using the Scottish Diabetes Research Network (SDRN) national diabetes cohort, we identified individuals newly diagnosed with T2DM between 1 January 2004 and 31 December 2020 and followed from diagnosis until death or end of follow‐up.
Wei L, Haghpanahan H, Wild SH, Geue C, Butterly E, McMeekin P, McGurnaghan S, Blackbourn LAK, Lindsay R, McAllister D, Lewsey J.   +10 more
europepmc   +2 more sources

New insights of necroptosis and immune infiltration in sepsis-induced myocardial dysfunction from bioinformatics analysis through RNA-seq in mice

Frontiers in Cellular and Infection Microbiology, 2022
Sepsis is a life-threatening organ dysfunction caused by dysregulated host immune response to infection. Sepsis-induced myocardial dysfunction (SIMD) is a common complication in patients with severe sepsis and is associated with increased mortality.
Yan Du, Ying Zhong, Ruilin Ding, Xiaojie Wang, Fenfen Xia, Qian Zhang, Qing Peng   +6 more
doaj   +1 more source

ABM-SpConv-SIMD: Accelerating Convolutional Neural Network Inference for Industrial IoT Applications on Edge Devices

IEEE Transactions on Network Science and Engineering, 2023
Convolutional Neural Networks (CNNs) have been widely deployed, while traditional cloud data-centers based applications suffer from the bandwidth and latency network demand when applying to Industrial-Internet-of-Things (IIoT) fields.
Xianduo Li, Xiaoli Gong, D. Wang, Jin Zhang, T. Baker, Jin Zhou, Tingjuan Lu   +6 more
semanticscholar   +1 more source

The Causal Relationship Between Income Deprivation and Depression with Special Emphases on the Importance of Spatiality

Studia Ekonomiczne i Regionalne, 2023
This paper focuses on the causal relationship between territorial levels of income deprivation and depression. It seeks to shed light on the importance of spatial dependence in said relationship.
Bilicz Hanga Lilla
doaj   +1 more source

Efficient Direct Convolution Using Long SIMD Instructions

ACM SIGPLAN Symposium on Principles & Practice of Parallel Programming, 2023
This paper demonstrates that state-of-the-art proposals to compute convolutions on architectures with CPUs supporting SIMD instructions deliver poor performance for long SIMD lengths due to frequent cache conflict misses.
Alexandre de Limas Santana, Adrià Armejach, Marc Casas   +2 more
semanticscholar   +1 more source

Detection of prediabetes and undiagnosed type 2 diabetes in underserved communities using community pharmacy point-of-care testing: A prospective feasibility study. [PDF]

Diabet Med
Abstract Aims Early detection of type 2 diabetes (T2D) and prediabetes is critical to reduce disease burden, yet disadvantaged populations often remain undiagnosed. We assessed a pharmacy‐based pathway using verified point‐of‐care HbA1c testing to identify prediabetes and enable engagement with a digital prevention programme and established the ...
Radley A, Beer L, Farre A, Rauchhaus P, Thom G, Sutherland C.   +5 more
europepmc   +2 more sources

Inflammatory mechanisms and intervention strategies for sepsis‐induced myocardial dysfunction

Immunity, Inflammation and Disease, 2023
Sepsis‐induced myocardial dysfunction (SIMD) is the leading cause of death in patients with sepsis in the intensive care units. The main manifestations of SIMD are systolic and diastolic dysfunctions of the myocardium.
Yuxin Nong, Xuebiao Wei, Danqing Yu
doaj   +1 more source

VeGen: a vectorizer generator for SIMD and beyond

International Conference on Architectural Support for Programming Languages and Operating Systems, 2021
Vector instructions are ubiquitous in modern processors. Traditional compiler auto-vectorization techniques have focused on targeting single instruction multiple data (SIMD) instructions.
Yishen Chen, Charith Mendis, Michael Carbin, Saman P. Amarasinghe   +3 more
semanticscholar   +1 more source

A bibliometric analysis of sepsis-induced myocardial dysfunction from 2002 to 2022

Frontiers in Cardiovascular Medicine, 2023
BackgroundSepsis-induced myocardial dysfunction (SIMD) has a significant contribution to sepsis-caused death in critically ill patients. In recent years, the number of published articles related to SIMD has increased rapidly.
Hanyi Yao, Hanyi Yao, Shufang Liu, Zhiyu Zhang, Zixi Xiao, Dongping Li, Dongping Li, Zhangqing Yi, Zhangqing Yi, Yuyang Huang, Haojie Zhou, Yifeng Yang, Yifeng Yang, Weizhi Zhang, Weizhi Zhang   +14 more
doaj   +1 more source