On Turing Machines Deciding According to the Shortest Computations by Florin Manea

“…In the first such variant, a machine accepts a given input word if and only if one of its shortest possible computations on that word is accepting; on the other hand, the machine rejects the input word when all the shortest computations performed by the machine on that word are rejecting. …”
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Importance of ice nucleation and precipitation on climate with the Parameterization of Unified Microphysics Across Scales version 1 (PUMASv1) by A. Gettelman, H. Morrison, T. Eidhammer, K. Thayer-Calder, J. Sun, R. Forbes, Z. McGraw, Z. McGraw, J. Zhu, T. Storelvmo, J. Dennis

“…We also detail the improvements in computational performance that can be achieved with GPU acceleration. …”
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A two-dimensional finite element shielding calculation code with mass-matrix lumping technique and unstructured meshes by ZONG Zhiwei, CHENG Maosong

“…BackgroundThe high-fidelity neutron transport calculation requires refined geometric modeling whilst the unstructured meshes have strong adaptability to copy with the changes bring by complex geometry structure, and overcome the deficiencies of structured meshes in modeling capability.PurposeThis study aims to develop and validate a two-dimensional shielding calculation code ThorSNIPE which can be used to improve the modeling ability for analysis complex problems.MethodsFirst of all, problem solving model was established with discrete ordinates method and finite element method on the basis of the first order Boltzmann transport equation. The computational performance of continuous finite element method and discontinuous finite element method were compared and analyzed. …”
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Multitask Learning-Based Deep Signal Identification for Advanced Spectrum Sensing by Hanjin Kim, Young-Jin Kim, Won-Tae Kim

“…In addition, DSINet solves four different tasks with a 65.5% smaller model size and 230% improved computational performance compared to single-task learning model sets, providing meaningful results in terms of practical use.…”
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FER: A Benchmark for the Roofline Analysis of FPGA Based HPC Accelerators by Enrico Calore, Sebastiano Fabio Schifano

“…To fulfill these needs, we have developed FER (FPGA Empirical Roofline), a benchmarking tool able to empirically measure the computing performance of FPGA based accelerators, as well as the bandwidth of their on-chip and off-chip memories. …”
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Early Warning of the Construction Safety Risk of a Subway Station Based on the LSSVM Optimized by QPSO by Leian Zhang, Junwu Wang, Han Wu, Mengwei Wu, Jingyi Guo, Shengmin Wang

“…In order to improve the computing performance of the early risk warning system in subway station construction, a novel model based on least-squares support vector machines (LSSVM) optimized by quantum-behaved particle swarm optimization (QPSO) was proposed. …”
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OCTREE-BASED SIMD STRATEGY FOR ICP REGISTRATION AND ALIGNMENT OF 3D POINT CLOUDS by D. Eggert, S. Dalyot

“…When compared to the traditional non-parallel list processing the Octree-based SIMD strategy showed a sharp increase in computation performance and efficiency, together with a reliable and accurate alignment of large 3D point clouds, contributing to a qualitative and efficient application.…”
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Stochastic Power System Dynamic Simulation Using Parallel-in-Time Algorithm by Byungkwon Park

“…Though there are many efforts to improve the computational performance of time-domain simulation, its focus has been on the deterministic differential-algebraic equations (DAEs) without modeling uncertainties inherent in power system networks. …”
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Home energy management system considering effective demand response strategies and uncertainties by Marcos Tostado-Véliz, Paul Arévalo, Salah Kamel, Hossam M. Zawbaa, Francisco Jurado

“…Other relevant aspects like the influence of the storage capacity and computational performance of the introduced optimization framework are also analysed.…”
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Resource-Constrained Onboard Inference of 3D Object Detection and Localisation in Point Clouds Targeting Self-Driving Applications by António Silva, Duarte Fernandes, Rafael Névoa, João Monteiro, Paulo Novais, Pedro Girão, Tiago Afonso, Pedro Melo-Pinto

“…A hybrid FPGA-CPU board is proposed as an effective onboard inference solution by comparing its performance in the KITTI dataset with computer performances. The achieved accuracy is comparable to the PC-based deep learning method with a plus that it is more effective for real-time inference, power limited and space-constrained purposes.…”
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A Constellation Space Dimensionality Reduced Sub-Optimal Receiver for Orthogonal STBC CPM Modulation in a MIMO Channel by M. Hekrdla

“…This task imposes a high load on the receiver computational performance and increases its complexity. We analytically derive a suboptimal receiver with a reduced number of front end matched filters (MFs) corresponding to the CPM dimension. …”
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Multi-Period Resilient Model for VSC-Based AC-DC HDS Considering Public-Safety Power Shutoff to Mitigate Wildfires by Zekai Wang, Tao Ding, Xiaosheng Zhang, Chenggang Mu, Pengwei Du, Fangxing Li

“…To accelerate the computational performance, a progressive hedging algorithm has been applied to solve the stochastic model which can be written as a mixed-integer linear program. …”
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Design of network-based biocomputation circuits for the exact cover problem by Till Korten, Stefan Diez, Heiner Linke, Dan V Nicolau Jr, Hillel Kugler

“…Here, we (i) show how exact cover can be encoded and solved in an NBC device, (ii) define a formalization that allows to prove the correctness of our approach and provides a mathematical basis for further studying NBC, and (iii) demonstrate various optimizations that significantly improve the computing performance of NBC. This work lays the ground for fabricating and scaling NBC devices to solve significantly larger combinatorial problems than have been demonstrated so far.…”
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A FEM Structural Analysis of a Francis Turbine Blade Parametrized Using Piecewise Bernstein Polynomials by Heriberto Arias-Rojas, Miguel A. Rodríguez-Velázquez, Ángel Cerriteño-Sánchez, Francisco J. Domínguez-Mota, Sergio R. Galván-González

“…In this paper, bearing in mind the standard hydraulic test conditions of the hydrofoil test case of the Norwegian Hydropower Center, we present a structural stress–strain analysis of the reparametrization of a Francis blade, thus showing its adequate computational performance in two model tests.…”
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TriCCo v1.1.0 – a cubulation-based method for computing connected components on triangular grids by A. Voigt, P. Schwer, N. von Rotberg, N. Knopf

“…Finally, we characterize its computational performance and compare it to graph-based identifications of connected components using breadth-first search. …”
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Ion Channel Modeling beyond State of the Art: A Comparison with a System Theory-Based Model of the Shaker-Related Voltage-Gated Potassium Channel Kv1.1 by Sonja Langthaler, Jasmina Lozanović Šajić, Theresa Rienmüller, Seth H. Weinberg, Christian Baumgartner

“…The method has a high potential to further improve the quality and computational performance of complex cell and organ model simulations, and could provide a valuable new tool in the field of next-generation in silico electrophysiology.…”
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RAST-K v2—Three-Dimensional Nodal Diffusion Code for Pressurized Water Reactor Core Analysis by Jinsu Park, Jaerim Jang, Hanjoo Kim, Jiwon Choe, Dongmin Yun, Peng Zhang, Alexey Cherezov, Deokjung Lee

“…The RAST-K v2, a novel nodal diffusion code, was developed at the Ulsan National Institute of Science and Technology (UNIST) for designing the cores of pressurized water reactors (PWR) and performing analyses with high accuracy and computational performance by adopting state-of-the-art calculation models and various engineering features. …”
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Mapping and determining the center of mass of a rotating object using a moving observer by Setterfield, Timothy Philip, Miller, David W, Leonard, John J, Saenz Otero, Alvar

“…Analysis of the algorithm’s computational performance reveals that its computational cost is negligible compared with that of the requisite image processing. …”
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CLEAR: A Holistic Figure-of-Merit for Post- and Predicting Electronic and Photonic-based Compute-system Evolution by Kimerling, Lionel C

“…However, the efforts made to describe and predict the performance evolution of compute-performance fall short to accurately predict and thereby explain the actually observed development pace with time; that is all proposed metrics eventually deviate from their development trajectory after several years from when they were originally proposed. …”
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The lottery ticket hypothesis: Finding sparse, trainable neural networks by Frankle, Jonathan, Carbin, Michael James

“…Neural network pruning techniques can reduce the parameter counts of trained networks by over 90%, decreasing storage requirements and improving computational performance of inference without compromising accuracy. …”
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