23,447 research outputs found
Research and Education in Computational Science and Engineering
Over the past two decades the field of computational science and engineering
(CSE) has penetrated both basic and applied research in academia, industry, and
laboratories to advance discovery, optimize systems, support decision-makers,
and educate the scientific and engineering workforce. Informed by centuries of
theory and experiment, CSE performs computational experiments to answer
questions that neither theory nor experiment alone is equipped to answer. CSE
provides scientists and engineers of all persuasions with algorithmic
inventions and software systems that transcend disciplines and scales. Carried
on a wave of digital technology, CSE brings the power of parallelism to bear on
troves of data. Mathematics-based advanced computing has become a prevalent
means of discovery and innovation in essentially all areas of science,
engineering, technology, and society; and the CSE community is at the core of
this transformation. However, a combination of disruptive
developments---including the architectural complexity of extreme-scale
computing, the data revolution that engulfs the planet, and the specialization
required to follow the applications to new frontiers---is redefining the scope
and reach of the CSE endeavor. This report describes the rapid expansion of CSE
and the challenges to sustaining its bold advances. The report also presents
strategies and directions for CSE research and education for the next decade.Comment: Major revision, to appear in SIAM Revie
Climate change and radical energy innovation: the policy issues
Although the impacts of greenhouse gas build-up remain uncertain, they have the potential to be very serious and possibly catastrophic. If the outcomes are serious then neither improving energy efficiency nor adaptation policies will cope with the problems of warming. Reducing climate impacts without impeding economic development will require new low or zero emissions energy carriers and associated technologies. This paper argues that current innovation policy initiatives aim at only limited dimensions of energy technology: they either promote incremental change in existing technologies, or improving performance in existing renewable alternatives. They will neither induce fundamental innovation in carrier technologies, nor change the basic technological regime of hydrocarbon production, distribution and use. For this, more radical âmission-oriented? programmes are necessary. In turn, these will require new policy instruments and methods, new roles for government, and new dimensions of international collaboration and global governance of innovation strategies.
Will SDN be part of 5G?
For many, this is no longer a valid question and the case is considered
settled with SDN/NFV (Software Defined Networking/Network Function
Virtualization) providing the inevitable innovation enablers solving many
outstanding management issues regarding 5G. However, given the monumental task
of softwarization of radio access network (RAN) while 5G is just around the
corner and some companies have started unveiling their 5G equipment already,
the concern is very realistic that we may only see some point solutions
involving SDN technology instead of a fully SDN-enabled RAN. This survey paper
identifies all important obstacles in the way and looks at the state of the art
of the relevant solutions. This survey is different from the previous surveys
on SDN-based RAN as it focuses on the salient problems and discusses solutions
proposed within and outside SDN literature. Our main focus is on fronthaul,
backward compatibility, supposedly disruptive nature of SDN deployment,
business cases and monetization of SDN related upgrades, latency of general
purpose processors (GPP), and additional security vulnerabilities,
softwarization brings along to the RAN. We have also provided a summary of the
architectural developments in SDN-based RAN landscape as not all work can be
covered under the focused issues. This paper provides a comprehensive survey on
the state of the art of SDN-based RAN and clearly points out the gaps in the
technology.Comment: 33 pages, 10 figure
Perspectives of Integrated âNext Industrial Revolutionâ Clusters in Poland and Siberia
RozdziaĆ z: Functioning of the Local Production Systems in Central and Eastern European Countries and Siberia. Case Studies and Comparative Studies, ed. Mariusz E. SokoĆowicz.The paper presents the mapping of potential next industrial revolution clusters in Poland and Siberia. Deindustrialization of the cities and struggles with its consequences are one of the fundamental economic problems in current global economy. Some hope to find an answer to that problem is associated with the idea of next industrial revolution and reindustrialization initiatives. In the paper, projects aimed at developing next industrial revolution clusters are analyzed. The objective of the research was to examine new industrial revolution paradigm as a platform for establishing university-based trans-border industry clusters in Poland and Siberia47 and to raise awareness of next industry revolution initiatives.Monograph financed under a contract of execution of the international scientific project within 7th Framework Programme of the European Union, co-financed by Polish Ministry of Science and Higher Education (title: âFunctioning of the Local Production Systems in the Conditions of Economic Crisis (Comparative Analysis and Benchmarking for the EU and Beyondâ)). Monografia sfinansowana w oparciu o umowÄ o wykonanie projektu miÄdzy narodowego w ramach 7. Programu Ramowego UE, wspĂłĆfinansowanego ze ĆrodkĂłw Ministerstwa Nauki i Szkolnictwa WyĆŒszego (tytuĆ projektu: âFunkcjonowanie lokalnych systemĂłw produkcyjnych w warunkach kryzysu gospodarczego (analiza porĂłwnawcza i benchmarking w wybranych krajach UE oraz krajach trzecichâ))
Management and Service-aware Networking Architectures (MANA) for Future Internet Position Paper: System Functions, Capabilities and Requirements
Future Internet (FI) research and development threads have recently been gaining momentum all over the world and as such the international race to create a new generation Internet is in full swing: GENI, Asia Future Internet, Future Internet Forum Korea, European Union Future Internet Assembly (FIA). This is a position paper identifying the research orientation with a time horizon of 10 years, together with the key challenges for the capabilities in the Management and Service-aware Networking Architectures (MANA) part of the Future Internet (FI) allowing for parallel and federated Internet(s)
Energetics of the brain and AI
Does the energy requirements for the human brain give energy constraints that
give reason to doubt the feasibility of artificial intelligence? This report
will review some relevant estimates of brain bioenergetics and analyze some of
the methods of estimating brain emulation energy requirements. Turning to AI,
there are reasons to believe the energy requirements for de novo AI to have
little correlation with brain (emulation) energy requirements since cost could
depend merely of the cost of processing higher-level representations rather
than billions of neural firings. Unless one thinks the human way of thinking is
the most optimal or most easily implementable way of achieving software
intelligence, we should expect de novo AI to make use of different, potentially
very compressed and fast, processes
Energy challenges for ICT
The energy consumption from the expanding use of information and communications technology (ICT) is unsustainable with present drivers, and it will impact heavily on the future climate change. However, ICT devices have the potential to contribute signi - cantly to the reduction of CO2 emission and enhance resource e ciency in other sectors, e.g., transportation (through intelligent transportation and advanced driver assistance systems and self-driving vehicles), heating (through smart building control), and manu- facturing (through digital automation based on smart autonomous sensors). To address the energy sustainability of ICT and capture the full potential of ICT in resource e - ciency, a multidisciplinary ICT-energy community needs to be brought together cover- ing devices, microarchitectures, ultra large-scale integration (ULSI), high-performance computing (HPC), energy harvesting, energy storage, system design, embedded sys- tems, e cient electronics, static analysis, and computation. In this chapter, we introduce challenges and opportunities in this emerging eld and a common framework to strive towards energy-sustainable ICT
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