[HTML][HTML] Modern computing: Vision and challenges

SS Gill, H Wu, P Patros, C Ottaviani, P Arora… - … and Informatics Reports, 2024 - Elsevier
Over the past six decades, the computing systems field has experienced significant
transformations, profoundly impacting society with transformational developments, such as …

Medical image processing on the GPU–Past, present and future

A Eklund, P Dufort, D Forsberg, SM LaConte - Medical image analysis, 2013 - Elsevier
Graphics processing units (GPUs) are used today in a wide range of applications, mainly
because they can dramatically accelerate parallel computing, are affordable and energy …

Online collaborative data caching in edge computing

X **a, F Chen, Q He, J Grundy… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
In the edge computing (EC) environment, edge servers are deployed at base stations to offer
highly accessible computing and storage resources to nearby app users. From the app …

Deep learning with lung segmentation and bone shadow exclusion techniques for chest X-ray analysis of lung cancer

Y Gordienko, P Gang, J Hui, W Zeng, Y Kochura… - Advances in Computer …, 2019 - Springer
The recent progress of computing, machine learning, and especially deep learning, for
image recognition brings a meaningful effect for automatic detection of various diseases …

t-closeness: Privacy beyond k-anonymity and l-diversity

N Li, T Li, S Venkatasubramanian - 2007 IEEE 23rd …, 2006 - ieeexplore.ieee.org
The k-anonymity privacy requirement for publishing microdata requires that each
equivalence class (ie, a set of records that are indistinguishable from each other with respect …

StarPU: A Unified Platform for Task Scheduling on Heterogeneous Multicore Architectures

C Augonnet, S Thibault, R Namyst… - Euro-Par 2009 Parallel …, 2009 - Springer
In the field of HPC, the current hardware trend is to design multiprocessor architectures that
feature heterogeneous technologies such as specialized coprocessors (eg Cell/BE SPUs) or …

GPU computing

JD Owens, M Houston, D Luebke… - Proceedings of the …, 2008 - ieeexplore.ieee.org
The graphics processing unit (GPU) has become an integral part of today's mainstream
computing systems. Over the past six years, there has been a marked increase in the …

Arb: efficient arbitrary-precision midpoint-radius interval arithmetic

F Johansson - IEEE Transactions on Computers, 2017 - ieeexplore.ieee.org
Arb is a C library for arbitrary-precision interval arithmetic using the midpoint-radius
representation, also known as ball arithmetic. It supports real and complex numbers …

Debunking the 100X GPU vs. CPU myth: an evaluation of throughput computing on CPU and GPU

VW Lee, C Kim, J Chhugani, M Deisher, D Kim… - Proceedings of the 37th …, 2010 - dl.acm.org
Recent advances in computing have led to an explosion in the amount of data being
generated. Processing the ever-growing data in a timely manner has made throughput …