The demand for computing performance combined with higher energy efficiency is ever-increasing. Analog Computing paradigms are rising in popularity lately because they are potentially faster than digital implementatio...
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ISBN:
(纸本)9798350377217;9798350377200
The demand for computing performance combined with higher energy efficiency is ever-increasing. Analog Computing paradigms are rising in popularity lately because they are potentially faster than digital implementations at a fraction of their energy consumption. For example, so-called oscillator-based Ising machines can solve combinatorial optimization problems very quickly and energy efficiently. They exploit the interaction between hundreds of identical oscillator nodes, forming a large network occupying the usable chip area. Also, spiking neural networks are a promising analog computing approach, which enables machine learning to be performed with low power consumption. Machine learning is currently one of the most significant factors in global energy demand for digital computers. Crucial for the analog computing principle are precise biasing currents because they accurately set mathematical coefficients and references that influence timing behaviors. So, bias current needs to be distributed to the hundreds of nodes spread across the whole die. We analyze two approaches for precise generation and distribution of biasing currents and two calibration methods for comparing and adjusting currents on a local scale and chip scale in the form of a case study on an oscillator-based Ising machine implemented in 28nm CMOS technology and targeting a maximum error of 1.5% while keeping the used area low.
The solution of over-determined equations plays a very important role in fields such as data fitting, signal processing, and machine learning. It is of great significance in predicting natural phenomena, optimizing en...
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In daily life, our express information items are stored in the server of express company. To avoid the leakage of the users' private information, this paper proposes a fast encryption algorithm to protect them. Th...
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The proceedings contain 21 papers. The topics discussed include: enhancing the performance of photonic crystal and gates with machine learning optimization;bitcoin price prediction based on financial data, technical i...
ISBN:
(纸本)9798350381580
The proceedings contain 21 papers. The topics discussed include: enhancing the performance of photonic crystal and gates with machine learning optimization;bitcoin price prediction based on financial data, technical indicators, and news headlines sentiment analysis using CNN and GRU deep learning algorithms;promoting cybersecurity knowledge via gamification: an innovative intervention design;modeling and verification of the causal broadcast algorithm using colored Petri Nets;GPU-based parallel technique for solving n-similarity problem in textual data mining;a novel approach for specification and verification of symmetric distributed algorithms using spin;optimizing geophysical workloads in high-performance computing: leveraging machine learning and transformer models for enhanced parallelism and processor allocation;and rational Jacobi kernel functions: a novel massively parallelizable orthogonal kernel for support vector machines.
A performance-portable application can run on a variety of different hardware platforms, achieving an acceptable level of performance without requiring significant rewriting for each platform. Several performance-port...
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ISBN:
(纸本)9798350364613;9798350364606
A performance-portable application can run on a variety of different hardware platforms, achieving an acceptable level of performance without requiring significant rewriting for each platform. Several performance-portable programming models are now suitable for high-performance scientific application development, including OpenMP and Kokkos. Chapel is a parallel programming language that supports the productive development of high-performance scientific applications and has recently added support for GPU architectures through native code generation. Using three mini-apps BabelStream, miniBUDE, and TeaLeaf we evaluate the Chapel language's performance portability across various CPU and GPU platforms. In our evaluation, we replicate and build on previous studies of performance portability using mini-apps, comparing Chapel against OpenMP, Kokkos, and the vendor programming models CUDA and HIP. We find that Chapel achieves comparable performance portability to OpenMP and Kokkos and identify several implementation issues that limit Chapel's performance portability on certain platforms.
Several solutions have been used in distributed file systems to increase data availability and dependability. Historically, replication techniques were the favored method for storing data in such systems. However, the...
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To tackle the challenges introduced by quantum computers to traditional public key cryptography, the domain of post-quantum cryptography (PQC) has taken center stage. Within this domain, the evaluation of computationa...
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Conservation Voltage Reduction (CVR) technology optimizes distribution grid voltage to reduce power demand and losses, improving power system efficiency and stability. Effective real-time monitoring and control of pow...
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ISBN:
(纸本)9798350385304;9798350385298
Conservation Voltage Reduction (CVR) technology optimizes distribution grid voltage to reduce power demand and losses, improving power system efficiency and stability. Effective real-time monitoring and control of power system voltage and load need a reliable communication network. Ensuring time-sensitive stability in measuring and sharing extensive data from distributed power resources is crucial, especially in unpredictable electrical environments. This paper proposes a solution in the form of a High Reliable Redundancy Communication (HRRC) network. HRRC aims to enhance the network performance and reliability of CVR technology for future power grid systems. The design and implementation of HRRC involves Ethernet-based High Availability Seamless Redundancy (HSR), parallel Redundancy Protocol (PRP), and Merging Unit (MU), offering robust solutions for CVR.
With the rapid development of artificial intelligence, research on its application in rural development is increasing. This paper focuses on the literature on artificial intelligence empowering rural and agricultural ...
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Module-level power electronics with distributed characteristics makes it possible to significantly improve the output power of traditional centralized photovoltaic(PV) systems in the case of series or parallel mismatc...
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