15 papers · ranked by Valyu relevance
Anne M. Schouten, Steven M. Flipse, Kim E. van Nieuwenhuizen, Frank Willem Jansen + 2 more
Literature proposes numerous initiatives for optimization of the Operating Room (OR). Despite multiple suggested strategies for the optimization of workflow on the OR, its patients and (medical) staff, no uniform description of ‘optimization’ has been adopted. This makes it difficult to evaluate the proposed…
ZiChuan He, Hui Zhong, XiaoHua Shi, ChangHai Zhao + 2 more
Deep neural networks (DNNs) are computationally intensive and optimized in different ways. Some compiler optimizations for DNNs could achieve performance almost the same as, or even better than, manual optimizations. However, the former mechanisms usually require an unbearably long optimization time in the tuning…
Ming Zhang, Naijie Gu, Kaixin Ren
This paper proposes a performance model for general matrix multiplication (GEMM) on decoupled access/execute (DAE) architecture platforms, in order to guide improvements of the GEMM performance in the Godson-3B1500. This model focuses on the features of access processors (APs) and execute processors (EPs). To reduce…
Alba Pedro-Zapater, Juan Segarra, Rubén Gran Tejero, Víctor Viñals + 2 more
'Clemente Rodríguez' 'Inés P. Mariño'] One of the key challenges in real-time systems is the analysis of the memory hierarchy. Many Worst-Case Execution Time (WCET) analysis methods supporting an instruction cache are based on iterative or convergence algorithms, which are rather slow. Our goal in this paper is to…
Xianxian Qi, Jianfeng Yang, Yiyang Zhang, Baonan Xiao + 1 more
'Antonio Puliafito'] Servers are the infrastructure of enterprise applications, and improving server performance under fixed hardware resources is an important issue. Conducting performance tuning at the application layer is common, but it is not systematic and requires prior knowledge of the running application. Some…
Anirudh Srikanth, Carlotta Trigila, Emilie Roncali
The demand for specialized hardware to train AI models has increased in tandem with the increase in the model complexity over the recent years. Graphics processing unit (GPU) is one such hardware that is capable of parallelizing operations performed on a large chunk of data. Companies like Nvidia, AMD, and Google have…
Javier Corral-García, José-Luis González-Sánchez, Miguel-Ángel Pérez-Toledano
The Internet of Things (IoT) is faced with challenges that require green solutions and energy-efficient paradigms. Architectures (such as ARM) have evolved significantly in recent years, with improvements to processor efficiency, essential for always-on devices, as a focal point. However, as far as software is…
Hamish Nicholson, Periklis Chrysogelos, Anastasia Ailamaki
Analytical engines rely on in-memory data caching to avoid storage accesses and provide timely responses by keeping the most frequently accessed data in memory. Purely frequency- and time-based caching decisions, however, are a proxy of the expected query execution speedup only when storage accesses are significantly…
Søren Bertelsen, Sigurd Carlsen, Søren Furbo, Morten Bormann Nielsen + 2 more
an Open-Source Python Package for Easy Optimization of Real-World Processes Using Bayesian Optimization: Showcase of Features and Example of Use Authors: ['Søren Bertelsen' 'Sigurd Carlsen' 'Søren Furbo' 'Morten Bormann Nielsen' 'Aksel Obdrup' 'Rolf Taaning'] ProcessOptimizer is a Python package designed to provide…
Mohammad Dehghani, Pavel Trojovský, Mikołaj Leszczuk, Szymon Łukasik + 1 more
'Szymon Szott'] With the advancement of science and technology, new complex optimization problems have emerged, and the achievement of optimal solutions has become increasingly important. Many of these problems have features and difficulties such as non-convex, nonlinear, discrete search space, and a non-differentiable…
Xumin Zhao, Guojie Xie, Yi Luo, Jingyuan Chen + 3 more
'HongPeng Bai' 'Mohammed Balfaqih'] The burgeoning field of fog computing introduces a transformative computing paradigm with extensive applications across diverse sectors. At the heart of this paradigm lies the pivotal role of edge servers, which are entrusted with critical computing and storage functions. The…
Changyu Deng, Andrew Kim, Wei Lu
Title: Summary Battery optimization is challenging due to the huge cost and time required to evaluate different configurations in experiments or simulations. Optimizing the cycling performance is especially costly since battery cycling is extremely time consuming. Here, we introduce an optimization framework building…
Zofia Długosz, Michał Rajewski, Rafał Długosz, Tomasz Talaśka + 1 more
'Adam Krzyzak'] In this work, we propose a novel metaheuristic algorithm that evolved from a conventional particle swarm optimization (PSO) algorithm for application in miniaturized devices and systems that require low energy consumption. The modifications allowed us to substantially reduce the computational complexity…
Manik Rajora, Pan Zou, Yao Guang Yang, Zhi Wen Fan + 4 more
'Wen Chieh Wu' 'Beizhi Li' 'Steven Y. Liang'] It can be observed from the experimental data of different processes that different process parameter combinations can lead to the same performance indicators, but during the optimization of process parameters, using current techniques, only one of these combinations can be…
Péter Friedrich, Michael Vella, Attila I. Gulyás, Tamás F. Freund + 1 more
'Szabolcs Káli'] The construction of biologically relevant neuronal models as well as model-based analysis of experimental data often requires the simultaneous fitting of multiple model parameters, so that the behavior of the model in a certain paradigm matches (as closely as possible) the corresponding output of a…