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CINOC: computing in Network-On-Chip With Tiled Many-Core Architectures for Large-Scale General Matrix Multiplications

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IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS I-REGULAR PAPERS 2025年第3期72卷 1256-1268页

作者： Qin, Yao Wang, Mingyu Yan, Jiahua Lu, Tao Yu, Zhiyi Sun Yat sen Univ Sch Microelect Sci & Technol Guangzhou 510275 Peoples R China Sun Yat sen Univ Guangdong Prov Key Lab Optoelect Informat Proc Chi Guangzhou 510275 Peoples R China

Large-scale general matrix multiplications (LMMs) are the key bottlenecks in various computation domains such as Transformer applications. However, it is a challenge to perform LMMs efficiently on traditional multi/many-core processor systems due to the large amount of memory access and the tight dependence of data transmission. By analyzing the aforementioned problems, we propose a computing in network-on-chip paradigm to perform LMMs by mitigating the performance losses caused by limited on-chip cache resources and memory bandwidth. Specifically, we propose a co-design of computable network-on-chip and the last-level cache method in tiled many-core architectures, which can reconstruct the redundant cache capacity as computable input buffer to balance the demands of computing, storage, and communication for the running LMM applications. Furthermore, a data-aware thread execution mechanism is also proposed to maximize the computational efficiency of thread streams in computable network. At the software level, memory-friendly matrix partitioning strategy, hybrid routing method and programming model are designed to bridge the gap between application demands and mismatched hardware/software interfaces. Experimental evaluations demonstrate that this proposed work achieves a computational latency reduction of 45% compared to the state-of-the-art GPU architecture, and the inference performance is improved by 2 $\times$ of the GPT network.

关键词： Computer architecture Instruction sets Memory management Transformers Streams Bandwidth Message systems Computational efficiency Programming Parallel processing computing paradigm processor architectures NOC GEMM transformer GPT

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computing paradigms in Emerging Vehicular Environments:A Review

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IEEE/CAA Journal of Automatica Sinica 2021年第3期8卷 491-511页

作者： Lion Silva Naercio Magaia Breno Sousa Anna Kobusińska António Casimiro Constandinos X.Mavromoustakis George Mastorakis Victor Hugo C.de Albuquerque Department of Computer Science Faculty of SciencesUniversity of LisbonLisbon 1749-016Portugal Laboratory of Computing Science PoznańUniversity of TechnologyPoznan 60-965Poland Department of Computer Science University of NicosiaNicosia CY-2417Cyprus Department of Management Science and Technology Hellenic Mediterranean UniversityAgios Nikolaos 72100Greece LAPISCO Federal Institute of EducationScience and Technology of CearáFortaleza 60750-740 ARMTEC Tecnologia em Robótica Fortaleza 60150000Brazil

Determining how to structure vehicular network environments can be done in various ***,we highlight vehicle networks’evolution from vehicular ad-hoc networks(VANET)to the internet of vehicles(Io Vs),listing their benefits and *** also highlight the reasons in adopting wireless technologies,in particular,IEEE 802.11 p and 5 G vehicle-toeverything,as well as the use of paradigms able to store and analyze a vast amount of data to produce intelligence and their applications in vehicular *** also correlate the use of each of these paradigms with the desire to meet existing intelligent transportation systems’*** presentation of each paradigm is given from a historical and logical *** particular,vehicular fog computing improves on the deficiences of vehicular cloud computing,so both are not exclusive from the application point of *** also emphasize some security issues that are linked to the characteristics of these paradigms and vehicular networks,showing that they complement each other and share problems and *** these networks still have many opportunities to grow in both concept and application,we finally discuss concepts and technologies that we believe are *** this work,we emphasize the crucial role of these concepts for the well-being of humanity.

关键词： computing paradigm cloud edge fog internet of vehicle(IoV) vehicular networks

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A Survey on Emerging computing paradigms for Big Data

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Chinese Journal of Electronics 2017年第1期26卷 1-12页

作者： ZHANG Yaoxue REN Ju LIU Jiagang XU Chugui GUO Hui LIU Yaping School of Information Science and Engineering Central South University Research Institute of Information Security and Big Data Central South University

The explosive growth of data volume and the ever-increasing demands of data value extraction have driven us into the era of big data. The "5V"(Variety,Velocity, Volume, Value, and Veracity) characteristics of big data pose great challenges to traditional computing paradigms and motivate the emergence of new *** computing is one of the representative technologies that can perform massive-scale and complex data computing by taking advantages of virtualized resources, parallel processing and data service integration with scalable data storage. However, as we are also experiencing the revolution of Internet-of-things(IoT), the limitations of cloud computing on supporting lightweight end devices significantly impede the flourish of cloud computing at the intersection of big data and IoT era. It also promotes the urgency of proposing new computing paradigms. We provide an overview on the topic of big data, and a comprehensive survey on how cloud computing as well as its related technologies can address the challenges arisen by big ***, we analyze the disadvantages of cloud computing when big data encounters IoT, and introduce two promising computing paradigms, including fog computing and transparent computing, to support the big data services of IoT. Finally, some open challenges and future directions are summarized to foster continued research efforts into this evolving field of study.

关键词： computing paradigm Big data Cloud computing Transparent computing Fog computing Internet-of-things(IoT)

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Reconsideration of computing paradigms and a Novel Reconfigurable Architecture

Reconsideration of Computing Paradigms and a Novel Reconfigu...

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IEEE 19th Annual International Symposium on Field-Programmable Custom computing Machines (FCCM)

作者： Yan, Ming Yang, Ziyu Li, Sikun Yang, Liu Natl Univ Def Technol Sch Comp Changsha Hunan Peoples R China Hunan Univ Coll Comp & Commun Changsha Hunan Peoples R China

ISBN: (纸本)9780769543017

With the on-chip resources largely increased, the computing paradigm of modern architectures are much different from traditional ones. The relation between temporal computing and spatial computing is getting more and more intricate. In this paper, a coarse-grained reconfigurable architecture is proposed named as programmable dataflow computing architecture: ProDFA. With both fine-grained control ability and long-term control logic, ProDFA implements coarse-grained reconfigurability and fine-grained controllability, which brought both flexible programmability and high efficiency. A case study on block ciphers is done. A specific reconfigurable structure for block ciphers is designed and several mainstream block ciphers are mapped and evaluated. The experimental results show the high efficiency of the specific reconfigurable structure.

关键词： Arrays Clocks Computers Educational institutions ProDFA architecture Process control System-on-a-chip block cipher coarse-grained reconflgurable architecture computing paradigm controllability cryptography data flow computing fine-grained controllability flexible programmability long-term control logic on-chip resource programmable dataflow computing architecture reconfigurable architectures spatial computing temporal computing temporal logic

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Serverless Is More: From PaaS to Present Cloud computing

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IEEE INTERNET computing 2018年第5期22卷 8-17页

作者： van Eyk, Erwin Toader, Lucian Talluri, Sacheendra Versluis, Laurens Uta, Alexandru Iosup, Alexandru Delft Univ Technol TU Delft Comp Sci Delft Netherlands Delft Univ Technol Comp Sci Delft Netherlands Vrije Univ Amsterdam Amsterdam Netherlands

In the late 1950s, leasing time on an IBM 704 cost hundreds of dollars per minute. Today, cloud computing-using IT as a service, on demand with pay-per-use-is a widely used computing paradigm that offers large economies of scale. Born from a need to make platform as a service (PaaS) more accessible, fine-grained, and affordable, serverless computing has garnered interest from both industry and academia. This article aims to give an understanding of these early days of serverless computing: what it is, where it comes from, what the current status of serverless technology is, and what its main obstacles and opportunities are.

关键词： Cloud computing Serverless computing Serverless Technology Paa S Affordable computing Cloud computing computing paradigm IT Service Cloud computing Internet Economics Servers Serverless Function As A Service Cloud computing Workflows Internet Internet computing

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Performance modelling for transparent computing using stochastic Petrinets

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INTERNATIONAL JOURNAL OF AD HOC AND UBIQUITOUS computing 2016年第2期21卷 81-94页

作者： Xue, Chao Lin, Chuang Tsinghua Univ Dept Comp Sci & Technol Beijing 100084 Peoples R China

Massive applications, large-scale and disparity of demands tend to be the main characteristics of information technology. Therefore,to define an efficient computing paradigm with high quality of service has become an urgent issue both in academia and industry. An effective approach named transparent computing paradigm is proposed to meet the demands,which leaves computation and storage in different places. This paper studies the performance evaluation of such computing paradigm. We propose the stochastic Petri net models of transparent computing, based on which mathematical analysis is provided. Furthermore, we compare transparent computing paradigm with some traditional computing paradigms,both quantitatively and qualitatively.

关键词： transparent computing computing paradigm quality of service performance evaluation stochastic Petri net stochastic rendezvous network

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computing with time: From neural networks to sensor networks

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COMPUTER JOURNAL 2008年第4期51卷 511-522页

作者： Szymanski, Boleslaw K. Chen, Gilbert G. Rensselaer Polytech Inst Dept Comp Sci Troy NY 12180 USA

This article advocates a new computing paradigm, called computing with time, that is capable of efficiently performing a certain class of computation, namely, searching in parallel for the closest value to the given parameter. It shares some features with the idea of computing with action potentials proposed by Hopfield, which originated in the field of artificial neuron networks. The basic idea of computing with time is captured in a novel distributed algorithm based on broadcast communication called the lecture hall algorithm, which can compute the minimum among n positive numbers, each residing on a separate processor, using only O(1) broadcasts. When applied to sensor networks, the lecture hall algorithm leads to an interesting routing protocol having several desirable properties.

关键词： computing paradigm neural network sensor network routing

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Mobile agent migration modeling and design for target tracking in wireless sensor networks

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AD HOC NETWORKS 2008年第1期6卷 1-16页

作者： Xu, Yingyue Qi, Hairong Intelligent Automat Inc Rockville MD 20855 USA Univ Tennessee Dept Elect & Comp Engn Knoxville TN 37996 USA

computing paradigms play an important and fundamental role in collaborative processing in wireless sensor networks. The client/server based paradigm and the mobile agent based paradigm are two popular computing models used to facilitate collaboration among sensor nodes. In this paper, we study the key problem of determining the mobile agent itinerary for collaborative processing and model the dynamic mobile agent planning problem. We then present three itinerary planning algorithms, the static, the dynamic, and the predictive dynamic approaches to solve the target tracking problem in wireless sensor networks. We design three metrics (energy consumption, network lifetime, and the number of hops) and use simulation tools to quantitatively measure the performance of different itinerary planning algorithms. Simulation results show considerable improvement over the static itinerary and the dynamic itinerary approaches using the predictive dynamic itinerary algorithm. (C) 2006 Elsevier B.V. All rights reserved.

关键词： computing paradigm Mobile agent computing Client/server computing Mobile agent itinerary Simulation

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NOCA - A Notification-Oriented Computer Architecture: Prototype and Simulator

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IEEE ACCESS 2020年 8卷 37287-37304页

作者： Linhares, Robson R. Pordeus, Leonardo F. Simao, Jean M. Stadzisz, Paulo C. Univ Tecnol Fed Parana UTFPR Grad Program Elect Engn & Ind Informat BR-80230901 Curitiba Parana Brazil Univ Tecnol Fed Parana UTFPR Grad Program Appl Comp BR-80230901 Curitiba Parana Brazil

The Notification Oriented paradigm (NOP) introduced a new organization of software and hardware logic based on notifications among computational entities. This NOP new organization avoids processing redundancy and allows processing unit decoupling, therefore permitting proper processing performance and processing parallelism/distribution. Thus, the NOP provides means to make efficient use of the parallel execution capabilities of modern computing systems. However, as expected, the execution dynamics of NOP, based on notifications, is not efficiently performed by the hardware of most current computing systems. This paper presents a new solution called Notification-Oriented Computer Architecture (NOCA), which is suitable for the execution of software developed according to the NOP computing model. The NOCA was designed according to principles of generality and scalability, which allow it to execute NOP software of any size by fetching the application from memory. The proposed architecture is organized as a fine-grained multiprocessor that hierarchically executes instructions through sets of specialized processing cores. Preliminary experiments performed on prototypal FPGA implementation of the NOCA showed the expected behavior of executing NOP applications according to its theoretical computing model. This paper also presents experiments performed on a NOCA simulator extending the scale of parallelization of applications. Results show improvements in maximizing the speedups at higher scales of parallelization, as well as minimizing the effects of processor-to-memory communication bottlenecks by reducing the number of required memory accesses during execution.

关键词： Computer architecture notification-oriented paradigm parallel computer architecture computing paradigm

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Convex-hull voting method on a large data set

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BMC BIOINFORMATICS 2015年第Sup15期16卷 1-2页

作者： Ellingson, Sally R. Wang, Chi Nagarajan, Radhakrishnan Univ Kentucky Coll Publ Hlth Div Biomed Informat Lexington KY 40536 USA Univ Kentucky Coll Publ Hlth Div Canc Biostat Lexington KY 40536 USA Markey Canc Ctr Canc Res Informat Shared Resource Facil Lexington KY 40536 USA Markey Canc Ctr Biostat & Bioinformat Shared Resource Facil Lexington KY 40536 USA

关键词： Breast Carcinoma Single Machine computing paradigm Multiple Processor Vote Method

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