Summary form only given, as follows. The complete presentation was not made available for publication as part of the conference proceedings. This course will look at the synergies that are required across the stack fr...
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ISBN:
(纸本)9781538636930;9781538636923
Summary form only given, as follows. The complete presentation was not made available for publication as part of the conference proceedings. This course will look at the synergies that are required across the stack from new devices to new computational models for designing future computing systems. This course will enable attendees to understand the inter-twined nature of design optimization that requires one to interact with experts in different domains. The students will be exposed to simulation tools and modelling techniques to help explore new circuits and architectures. As physical dimensional scaling alone has ceased to be the key factor driving the industry, many innovations have occurred in designing new types of logic switches including changes to their structure (such as three-dimensional FinFETs), their underlying physics (use of tunneling for steep-switching devices), the material systems (integration of ferro-electrics in gate stack for Negative Capacitance FETs). The first part of the lecture will introduce these devices, simulation models and accompanying circuit innovations. There has been a world of revolution in the memory devices with the emergence of many nonvolatile memory technologies and their tight integration in cross-point architectures. These memory systems have enabled new styles of computing systems such as the non-volatile processor for internet of thing systems and neuromorphic computing systems for cognitive computing. The lectures will focus on the synergistic coordination in advances in devices to system design. Neuromorphic systems also leverage new advances in technology such as cross-point memory arrays to integrate computing and store. Another emerging novel computational model is based on the principle “let physics do the computation”. This technique focuses on using the intrinsic operation mechanism of devices (such as nanoscale electronic coupled oscillators) to do the computation, instead of building complex circuits with st
Next-generation High-Performance Computing (HPC) applications need to tackle outstanding computational complexity while meeting latency and Quality-of-Service constraints. Heterogeneous Multi-Processor systems-on-Chip...
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ISBN:
(纸本)9781538634370
Next-generation High-Performance Computing (HPC) applications need to tackle outstanding computational complexity while meeting latency and Quality-of-Service constraints. Heterogeneous Multi-Processor systems-on-Chip (MPSoCs), equipped with a mix of general-purpose cores and reconfigurable fabric for custom acceleration of computational blocks, are key in providing the flexibility to meet the requirements of next-generation HPC. However, heterogeneity brings new challenges to efficient chip thermal management. In this context, accurate and fast thermal simulators are becoming crucial to understand and exploit the trade-offs brought by heterogeneous MPSoCs. In this paper, we first thermally characterize a next-generation HPC workload, the online video transcoding application, using a highly-accurate Infra-Red (IR) microscope. Second, we extend the 3D-ICE thermal simulation tool with a new generic heat spreader model capable of accurately reproducing package surface temperature, with an average error of 6.8% for the hot spots of the chip. Our model is used to characterize the thermal behaviour of the online transcoding application when running on a heterogeneous MPSoC. Moreover, by using our detailed thermal system characterization we are able to explore different application mappings as well as the thermal limits of such heterogeneous platforms.
In order to keep up with the increasing volume and challenging requirements of Cyber-Physical systems (CPS), model-based design and simulation-based verification are becoming essential development practices. This stud...
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This book highlights new trends and challenges in agent systems, and new digital and knowledge economy research, and includes 34 papers on areas such as intelligent agent interaction and collaboration, modeling, simul...
ISBN:
(纸本)9783319920306
This book highlights new trends and challenges in agent systems, and new digital and knowledge economy research, and includes 34 papers on areas such as intelligent agent interaction and collaboration, modeling, simulation and mobile agents, agent communication and social networks, business Informatics, design and implementation of intelligent agents and multi-agent systems. These papers were presented at the 12th international KES conference on Agents and Multi-Agent systems: Technologies and Applications (KES-AMSTA 2018) held on Australias Gold Coast. The modern economy is driven by technologies and knowledge. Digital technologies can free, shift and multiply choices, often intruding on the space of other industries, by providing new ways of conducting business operations and creating values for customers and companies. The book addresses topics that contribute to the modern digital economy, including software agents, multi-agent systems, agent modeling, mobile and cloud computing, big data analysis, business intelligence, artificial intelligence, social systems, computerembeddedsystems and nature inspired manufacturing, which contribute to the modern digital economy. The results presented are of theoretical and practical value to researchers and industrial practitioners working in the fields of artificial intelligence, collective computational intelligence, innovative business models, new digital and knowledge economy and, in particular, agent and multi-agent systems, technologies, tools and applications.
In this era, the requirement of high-performance computing at low power cost can be met by the parallel execution of an application on a large number of programmable cores. Emerging many-core architectures provide den...
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In this era, the requirement of high-performance computing at low power cost can be met by the parallel execution of an application on a large number of programmable cores. Emerging many-core architectures provide dense interconnection fabrics leading to new communication requirements. In particular, the effective exploitation of synchronous and asynchronous channels for fast communication from/to internal cores and external devices is a key issue for these architectures. In this paper, we propose a methodology for clustering sequential commands used for configuring the parallel execution of tasks on a globally asynchronous locally synchronous multi-chip many-core neuromorphic platform. With the purpose of reducing communication costs and maximise the exploitation of the available communication bandwidth, we adapted the Multiple Sequence Alignment (MSA) algorithm for clustering the unicast streams of packets used for the configuration of each core so as to generate a coherent multicast stream that configures all cores at once. In preliminary experiments, we demonstrate how the proposed method can lead up to a 97% reduction in packet transmission thus positively affecting the overall communication cost.
In recent years, there has been a growing interest on relaxing the pessimistic DRAM refresh rate due to the incurred power and throughput loss. Undeniably, a critical factor in determining the refresh rate relaxation ...
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ISBN:
(纸本)9781538634370
In recent years, there has been a growing interest on relaxing the pessimistic DRAM refresh rate due to the incurred power and throughput loss. Undeniably, a critical factor in determining the refresh rate relaxation that can be achieved lies on the degree of the DRAM error-rate deterioration that is incurred and on the amount of estimated errors that can be handled by system mitigation schemes which are mainly being evaluated in simulators. To estimate the DRAM faults under relaxed refresh, the majority of the existing works rely on estimated DRAM failure probability models using only the spatial distribution of the DRAM retention time across the memory cells. We observe that such failure models have neglected the intricate dependence on the memory accesses, which inherently refresh the accessed rows. In this paper, we propose that the intervals between consecutive accesses must also be considered during DRAM simulation. We show that the estimation of the distribution of accesses poses a lot of challenges mainly due to the time consuming full system simulations that are required. To address such challenges, this paper presents one of the first efforts to model the access time-dependent DRAM retention time by developing a fast simulation infrastructure based on binary instrumentation. The basic idea behind the proposed approach lies on the quantification of the time elapsed between consecutive memory accesses on the same row and its relation to the DRAM failure probability, which is then being used for a more accurate fault injection. The introduced overheads of the instrumentation functions are measured during native execution allowing accurate corrections of the time elapsed between consecutive accesses. The efficacy of our framework is being evaluated using various artificial benchmarks. Results show that our scheme helps to limit the misprediction of estimated errors of current error-injection models.
The proceedings contain 29 papers. The special focus in this conference is on Artificial General Intelligence. The topics include: Unsupervised language learning in opencog;Functionalist emotion model in NARS;towards ...
ISBN:
(纸本)9783319976754
The proceedings contain 29 papers. The special focus in this conference is on Artificial General Intelligence. The topics include: Unsupervised language learning in opencog;Functionalist emotion model in NARS;towards a sociological conception of artificial intelligence;efficient concept formation in large state spaces;DSO cognitive architecture: Implementation and validation of the global workspace enhancement;the foundations of deep learning with a path towards general intelligence;zeta distribution and transfer learning problem;Vision system for AGI: Problems and directions;semantic image retrieval by uniting deep neural networks and cognitive architectures;request confirmation networks in micropsi 2;the temporal singularity: Time-accelerated simulated civilizations and their implications;a computational theory for life-long learning of semantics;cumulative learning with causal-relational models;Transforming kantian aesthetic principles into qualitative hermeneutics for contemplative AGI agents;Towards general evaluation of intelligent systems: Using semantic analysis to improve environments in the AIQ test;Perception from an AGI perspective;a phenomenologically justifiable simulation of mental modeling;a time-critical simulation of language comprehension;how failure facilitates success;adaptive compressed search;task analysis for teaching cumulative learners;associative memory: An spiking neural network robotic implementation;A comprehensive ethical framework for AI entities: Foundations;partial operator induction with beta distributions;solving tree problems with category theory;goal-directed procedure learning;can machines design? An artificial general intelligence approach.
Implementing self-adaptive embeddedsystems, such as UAVs, involves an offline provisioning of the several implementations of the embedded functionalities with different characteristics in resource usage and performan...
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ISBN:
(纸本)9781538678800
Implementing self-adaptive embeddedsystems, such as UAVs, involves an offline provisioning of the several implementations of the embedded functionalities with different characteristics in resource usage and performance in order for the system to dynamically adapt itself under uncertainties. FPGA-based architectures offer for support for high flexibility with dynamic reconfiguration features. We propose an autonomic control architecture for self-adaptive and self- reconfigurable FPGA-based embeddedsystems. The control architecture is structured in three layers: a mission manager, a reconfiguration manager and a scheduling manager. In this work we focus on the design of the reconfiguration manager. We propose a design approach using automata-based discrete control. It involves reactive programming that provides formal semantics, and discrete controller synthesis from declarative objectives.
The modern economy is driven by technologies and knowledge. Digital technologies can free, shift and multiply choices, often intruding on the space of other industries, by providing new ways of conducting business ope...
ISBN:
(纸本)9783319819884
The modern economy is driven by technologies and knowledge. Digital technologies can free, shift and multiply choices, often intruding on the space of other industries, by providing new ways of conducting business operations and creating values for customers and companies. The topics covered in this volume include software agents, multi-agent systems, agent modelling, mobile and cloud computing, big data analysis, business intelligence, artificial intelligence, social systems, computerembeddedsystems and nature inspired manufacturing, etc. that contribute to the modern Digital Economy. This volume highlights new trends and challenges in agent, new digital and knowledge economy research and includes 28 papers classified in the following specific topics: business process management, agent-based modeling and simulation, anthropic-oriented computing, learning paradigms, business informatics and gaming, digital economy, and advances in networked virtual enterprises. Published papers were selected for presentation at the 10th KES conference on Agent and Multi-Agent systems: Technologies and Applications (KES-AMSTA 2016) held in Puerto de la Cruz, Tenerife, Spain. Presented results would be of theoretical and practical value to researchers and industrial practitioners working in the fields of artificial intelligence, collective computational intelligence, innovative business models, new digital and knowledge economy and, in particular, agent and multi-agent systems, technologies, tools and applications.
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