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On Scheduling of high-throughput Scientific Workflows under Budget Constraints in Multi-Cloud Environments 16

On Scheduling of High-Throughput Scientific Workflows under ...

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16th IEEE ISPA / 17th IEEE IUCC / 8th IEEE BDCloud / 11th IEEE SocialCom / 8th IEEE SustainCom

作者： Li, Ruxia Wu, Chase Q. Hou, Aiqin Wang, Yongqiang Gao, Tianyu Xu, Mingrui Northwest Univ Sch Informat Sci & Technol Xian 710127 Shaanxi Peoples R China New Jersey Inst Technol Dept Comp Sci Newark NJ 07102 USA

ISBN: (纸本)9781728111414

With the rapid development and deployment of cloud computing infrastructures, many applications in various scientific domains are increasingly utilizing cloud resources for big data storage and analysis. Particularly, it has become a significant challenge to manage and execute big data scientific workflows in multi-cloud environments to process streaming datasets. In this paper, within a three-layer workflow architecture with inter- and intra-cloud data transfer, we formulate a scientific workflow mapping problem under budget constraints to achieve the maximum throughput of streaming workflow applications. We propose a scheduling algorithm to identify the global bottleneck and maximize the throughput under budget constraints. Extensive simulation results show that the proposed algorithm exhibits superior performance over existing heuristic algorithms in scheduling streaming workflow applications.

关键词： Scientific workflow workflow mapping cloud computing throughput

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Tolerating Write Disturbance Errors in PCM: Experimental Characterization, Analysis, and Mechanisms 26

Tolerating Write Disturbance Errors in PCM: Experimental Cha...

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26th IEEE International symposium on Modeling, Analysis and Simulation of computer and Telecommunication Systems (MASCOTS)

作者： Jadidi, Amin Kandemir, Mahmut T. Das, Chita R. Penn State Univ Sch Elect Engn & Comp Sci University Pk PA 16802 USA

ISBN: (纸本)9781538668863

Constant technology scaling has enabled modern computing systems to achieve high degrees of thread-level parallelism, making the design of a highly scalable and dense main memory subsystem a major challenge, especially for data-intensive workloads. While during the past three decades DRAM has been widely used as the dominant technology to build main memory, it faces serious scalability and power consumption problems at sub-micron scales. Phase Change Memory (PCM) has been proposed as one of the most promising technologies to replace DRAM in future computing systems, because of its short access latency and high scalability. However, PCM has some reliability problems below 20nm technology. As the cell size scales down, the thermal-disturbance between the cells is exacerbated. More precisely, the generated heat during the write operation can disseminate to the adjacent cells and potentially change their values. this phenomenon is known as the write disturbance problem. In this work, we study the impact of write disturbance along the word-line and bit-line in a PCM-based main memory. We then propose two low-overhead mechanisms to address this problem in different dimensions. Our proposed schemes are based on a rank subsetting memory architecture where each chip can be accessed separately. To mitigate the write disturbance problem along the word-line, we use a combination of differential write (DW) and verify-and-correct (VnC) schemes only if the chance of having cascaded verification steps is low. Otherwise, we write into all the vulnerable cells within the target chip to avoid performance loss. To tolerate write disturbance along the bit-line, we use data compression to compact the data and place the adjacent memory lines in a non-overlapping fashion. We further use the extra space within a compressed memory line to store BCH code, in order to protect read-intensive memory lines against write-intensive addresses. Our proposed schemes guarantee reliable write operations

关键词： Phase change materials computer architecture Microprocessors Random access memory Resistance Scalability Reliability

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FlexiGAN: An End-to-End Solution for FPGA Acceleration of Generative Adversarial Networks 26

FlexiGAN: An End-to-End Solution for FPGA Acceleration of Ge...

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26th IEEE Annual International symposium on Field-Programmable Custom computing Machines (FCCM)

作者： Yazdanbakhsh, Amir Brzozowski, Michael Khaleghi, Behnam Ghodrati, Soroush Samadi, Kambiz Kim, Nam Sung Esmaeilzadeh, Hadi Georgia Inst Technol Atlanta GA 30332 USA Univ Calif San Diego La Jolla CA 92093 USA Qualcomm Technol Inc San Diego CA USA Univ Illinois Champaign IL USA

ISBN: (纸本)9781538655221

Generative Adversarial Networks (GANs) are a frontier in deep learning. GANs consist of two models: generative and discriminative. While the discriminative model uses the conventional convolution, the generative model depends on a fundamentally different operator, called transposed convolution. this operator initially inserts a large number of zeros in its input and then slides a window over this expanded input. this zero-insertion step leads to a large number of ineffectual operations and creates distinct patterns of computation across the sliding windows. the ineffectual operations along with the variation in computation patterns lead to significant resource underutilization when using conventional convolution hardware. To alleviate these sources of inefficiency, this paper devises FlexiGAN, an end-to-end solution, that generates an optimized synthesizable FPGA accelerator from a high-level GAN specification. FlexiGAN is coupled with a novel template architecture that aims to harness the benefits of both MIMD and SIMD execution models to avoid ineffectual operations. To this end, the proposed architecture separates data retrieval and data processing units at the finest granularity of each compute engine. Leveraging this separation enables the architecture to use a succinct set of operations to cope with the irregularities of transposed convolution. At the same time, it significantly reduces the on-chip memory usage, which is generally limited in FPGAs. We evaluate our end-to-end solution by generating FPGA accelerators for a variety of GANs. these generated accelerators provide 2.4 x higher performance than an optimized conventional convolution design. In addition, FlexiGAN, on average, yields 2.8 x (up to 3.7 x) improvements in performanceper-Watt over a Titan X GPU.

关键词： Gallium nitride Convolution Field programmable gate arrays computer architecture Acceleration Generative adversarial networks Microsoft Windows"

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Privacy in Cloud computing: Intelligent Approach (Research Poster) 16

Privacy in Cloud Computing: Intelligent Approach (Research P...

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16th International Conference on high performance computing and Simulation, HPCS 2018

作者： Alhroob, Aysh Samawi, Venus W. Department of Software Engineering Faculty of Information Technology Isra University Amman Jordan Department of Computer Sciences Faculty of Information Technology Isra University Amman Jordan

ISBN: (纸本)9781538678787

Recently, scalability and large storage capacity motivated a lot of organizations and individuals to utilize cloud and fog computing. However, keeping data and business application in clouds and make them available to a third party highly impact the security and privacy issues. Consequently, security and privacy become one of the main challenges in cloud computing. For the time being, the major concern in cloud computing is how to protect user privacy (substantial data and software) from unauthorized access, and inhibit intrusion attacks. Furthermore, preserving data integrity is another important issue to be hold and maintained. this paper tackles aspects of privacy problem in cloud computing. An intelligent approach, based on data mining, is suggested to enhance privacy and data integrity in cloud computing. © 2018 IEEE.

关键词： Fog computing

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Search for a diffuse astrophysical neutrino flux from the Galactic Ridge using KM3NeT/ARCA data 38

Search for a diffuse astrophysical neutrino flux from the Ga...

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38th International Cosmic Ray Conference, ICRC 2023

作者： Filippini, Francesco Aiello, S. Albert, A. Alves Garre, S. Aly, Z. Ambrosone, A. Ameli, F. Andre, M. Androutsou, E. Anguita, M. Aphecetche, L. Ardid, M. Ardid, S. Atmani, H. Aublin, J. Bailly-Salins, L. Bardačová, Z. Baret, B. Bariego-Quintana, A. Basegmez du Pree, S. Becherini, Y. Bendahman, M. Benfenati, F. Benhassi, M. Benoit, D.M. Berbee, E. Bertin, V. Biagi, S. Boettcher, M. Bonanno, D. Boumaaza, J. Bouta, M. Bouwhuis, M. Bozza, C. Bozza, R.M. Brânzaş, H. Bretaudeau, F. Bruijn, R. Brunner, J. Bruno, R. Buis, E. Buompane, R. Busto, J. Caiffi, B. Calvo, D. Campion, S. Capone, A. Carenini, F. Carretero, V. Cartraud, T. Castaldi, P. Cecchini, V. Celli, S. Cerisy, L. Chabab, M. Chadolias, M. Chen, A. Cherubini, S. Chiarusi, T. Circella, M. Cocimano, R. Coelho, J.A.B. Coleiro, A. Coniglione, R. Coyle, P. Creusot, A. Cruz, A. Cuttone, G. Dallier, R. Darras, Y. De Benedittis, A. De Martino, B. Decoene, V. Del Burgo, R. Di Cerbo, U.M. Di Mauro, L.S. Di Palma, I. Díaz, A.F. Diaz, C. Diego-Tortosa, D. Distefano, C. Domi, A. Donzaud, C. Dornic, D. Dörr, M. Drakopoulou, E. Drouhin, D. Dvornický, R. Eberl, T. Eckerová, E. Eddymaoui, A. van Eeden, T. Eff, M. van Eijk, D. El Bojaddaini, I. El Hedri, S. Enzenhöfer, A. Ferrara, G. Filipović, M.D. Filippini, F. Franciotti, D. Fusco, L.A. Gabriel, J. Gagliardini, S. Gal, T. García Méndez, J. Garcia Soto, A. Gatius Oliver, C. Geißelbrecht, N. Ghaddari, H. Gialanella, L. Gibson, B.K. Giorgio, E. Goos, I. Goupilliere, D. Gozzini, S.R. Gracia, R. Graf, K. Guidi, C. Guillon, B. Gutiérrez, M. van Haren, H. Heijboer, A. Hekalo, A. Hennig, L. Hernández-Rey, J.J. Huang, F. Idrissi Ibnsalih, W. Illuminati, G. James, C.W. de Jong, M. de Jong, P. Jung, B.J. Kalaczyński, P. Kalekin, O. Katz, U.F. Khan Chowdhury, N.R. Khatun, A. Kistauri, G. Kopper, C. Kouchner, A. Kulikovskiy, V. Kvatadze, R. Labalme, M. Lahmann, R. Larosa, G. Lastoria, C. Lazo, A. Le Stum, S. Lehaut, G. Leonora, E. Università di Bologna Dipartimento di Fisica e Astronomia v.le C. Berti-Pichat 6/2 Bologna40127 Italy INFN Sezione di Bologna v.le C. Berti-Pichat 6/2 Bologna40127 Italy INFN Sezione di Catania Via Santa Sofia 64 Catania95123 Italy Université de Strasbourg CNRS IPHC UMR 7178 StrasbourgF-67000 France IFIC - Instituto de Física Corpuscular CSIC - Universitat de València c/Catedrático José Beltrán 2 Paterna Valencia46980 Spain Aix Marseille Univ CNRS IN2P3 CPPM Marseille France INFN Sezione di Napoli Complesso Universitario di Monte S. Angelo Via Cintia ed. G Napoli80126 Italy Università di Napoli "Federico II" Dip. Scienze Fisiche "E. Pancini" Complesso Universitario di Monte S. Angelo Via Cintia ed. G Napoli80126 Italy INFN Sezione di Roma Piazzale Aldo Moro 2 Roma00185 Italy Universitat Politècnica de Catalunya Laboratori d’Aplicacions Bioacústiques Centre Tecnològic de Vilanova i la Geltrú Avda. Rambla Exposició s/n Vilanova i la Geltrú08800 Spain NCSR Demokritos Institute of Nuclear and Particle Physics Ag. Paraskevi Attikis Athens15310 Greece University of Granada Dept. of Computer Architecture and Technology CITIC Granada18071 Spain Subatech IMT Atlantique IN2P3-CNRS Université de Nantes 4 rue Alfred Kastler - La Chantrerie BP 20722 Nantes44307 France Universitat Politècnica de València Instituto de Investigación para la Gestión Integrada de las Zonas Costeras C/ Paranimf 1 Gandia46730 Spain University Mohammed V in Rabat Faculty of Sciences 4 av. Ibn Battouta B.P. 1014 RabatR.P. 10000 Morocco Université Paris Cité CNRS Astroparticule et Cosmologie ParisF-75013 France LPC CAEN Normandie Univ ENSICAEN UNICAEN CNRS IN2P3 6 boulevard Maréchal Juin Caen14050 France Czech Technical University in Prague Institute of Experimental and Applied Physics Husova 240/5 Prague110 00 Czech Republic Comenius University in Bratislava Department of Nuclear Physics and Biophysics Mlynska dolina F1 Bratislava842 48 Slov

Several theoretical models predict and describe the properties of part of the diffuse neutrino flux, originating from the interaction of Galactic cosmic rays with the interstellar medium matter located in the centre of our Galaxy. this neutrino flux is expected to be of the same order of magnitude as the diffuse γ-ray flux measured by Fermi-LAT, close to the Galactic plane. Recently hints by the ANTARES Collaboration, at a significance level over 2 σ, and the observation by the IceCube Collaboration, at a significance level of 4.5 σ, of a high-energy neutrino emission from the Galactic plane have been reported. For these reasons, and considering the privileged position of the KM3NeT/ARCA telescope, being located in the Northern hemisphere, data have been analysed searching for a possible excess of events coming from an extended region, with Galactic coordinates |l| ◦ and |b| ◦, namely the Galactic Ridge. In this contribution, the result of the analysis exploiting data gathered with KM3NeT/ARCA in the period in which comprises 6, 8, 19 or 21 active detection units is presented, showing the capabilities and performance of KM3NeT. © Copyright owned by the author(s) under the terms of the Creative Commons.

关键词： Cosmology

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Towards an Optimized Energy Consumption of Resources in Cloud Data Centers 4th

Towards an Optimized Energy Consumption of Resources in Clou...

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4th International symposium on Ubiquitous Networking (UNet)

作者： Diouani, Sara Medromi, Hicham Hassan II Univ ENSEM Syst Architecture Team Engn Res Lab LRI Casablanca Morocco

ISBN: (纸本)9783030028497;9783030028480

Over the last few years, cloud computing has become a prominent paradigm. It promises to offer to users cost-effective and on-demand decentralized services, in terms of computing, memory, storage, etc., without the need for large infrastructure investments. Moreover, with the growing number of data centers resources, much higher levels of energy are being consumed. Also, the increasing level of associated carbon dioxide is emitted in the air, which consequently, raises the costs. Considering that there is an extreme growth in demand for Data Centers cloud computing requiring high computational complexity, there is an utmost need to take sufficient measures to lower the risk of energy demand. Hence, efficient energy-aware techniques are required to assure proper performance with regards to Service Level Agreements (SLA). In this work, we highlighted the issue of Virtual Machines (VMs) allocation in cloud computing data centers, and how to better manage the placement of VMs in order to optimize performance and reduce energy consumption. In our proposed solution, we will focus on minimizing the number of Physical Machines (PMs) hosting the VMs and utilize them as sufficient as possible.

关键词： Cloud computing Data center Energy consumption Virtual machine Physical machine OpenStack VM placement SLA Virtualization Optimization Resource allocation Migration Consolidation

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Microscope on Memory: MPSoC-enabled computer Memory System Assessments 26

Microscope on Memory: MPSoC-enabled Computer Memory System A...

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26th IEEE Annual International symposium on Field-Programmable Custom computing Machines (FCCM)

作者： Jain, Abhishek Kumar Lloyd, Scott Gokhale, Maya Lawrence Livermore Natl Lab Ctr Appl Sci Comp Livermore CA 94550 USA

ISBN: (纸本)9781538655221

Recent advances in new memory technologies and packaging options has focused attention on computer memory system design and evaluation. Examples include high bandwidth memories such as Hybrid Memory Cube and HBM, and 3D XPoint non-volatile memory. Emerging memories display a wide range of bandwidths, latencies, and capacities, making it challenging for the computer architect to navigate the design space of potential memory configurations, and for the application developer to assess performance implications of using such memories. In this work, we describe the Logic in Memory Emulator (LiME), a hardware/software tool specially designed for memory system evaluation and experiment. LiME uses the Xilinx Zynq UltraScale+ MPSoC on the ZCU102 board to capture any/all memory access, either from the Processing System (PS) or the Programmable Logic (PL). LiME employs novel loopback circuitry in conjunction with address map relocation to pass memory references from the PS into the PL side. the memory request is looped back into the PS DRAM memory controller and concurrently processed by LiME. We have demonstrated four high value use cases: full external memory access logging and replay, emulation of various memory system latencies by passing the memory request through delay registers before entering the PS memory subsystem, emulation of acceleration engines that can independently access memory, and performance comparison of two CPU architectures with respect to their memory behavior. In this paper we will describe this novel application of state-of-the-art MPSoC embodied by the LiME framework and highlight its uses.

关键词： Random access memory Emulation Field programmable gate arrays Program processors Delays Bandwidth Acceleration"

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Design of Practical Experiences to Improve Student Understanding of Efficiency and Scalability Issues in high performance computing 18

Design of Practical Experiences to Improve Student Understan...

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49th ACM SIGCSE Technical symposium on computer Science Education (SIGCSE)

作者： Chen, Juan Shen, Li Yin, Jianping Zhang, Chunyuan State Key Lab High Peiformance Comp Changsha Hunan Peoples R China Coll Comp Changsha Hunan Peoples R China Natl Univ Def Technol Changsha Hunan Peoples R China

ISBN: (纸本)9781450351034

With the increasing demand of big data technology, there has been a growing interest of introducing high performance computing in computer science curriculum. One challenge in helping students understand the nature of efficiency and scalability issues in high performance computing is the lack of opportunities for them to be engaged in large-scale applications that run on supercomputer system architecture. this poster presents a collection of example projects that have been used in a parallel computing course in multiple universities in China, including National University of Defense Technology, Sun Yat-sen University and Hunan University. these projects were adopted from a wide range of scientific computing applications such as CFD, text mining of biomedical literature and so on. the large-scale computing resource for courses is supported by two National Supercomputing Centers, one in Guangzhou and the other in Changsha. the poster describes the background, objective, structure, task, practice process and outcome for each project. It also discusses the impact on student understanding all kinds of key topics and major challenges related to computational efficiency and scalability. Such projects build a positive practical environment to make students indulge in doing all kinds of interesting and helpful trials to validate their assumptions, especially when they have different perspectives or results for one problem. the poster presents our design evaluation rubric to reflect the effectiveness of our practice, as well as the statistics about the students" achievements for the last three semesters.

关键词： Parallel Programming HPC and Project Practice

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Implantable antennas for biomedical applications: An overview on alternative antenna design methods and challenges 16

Implantable antennas for biomedical applications: An overvie...

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16th International Conference on high performance computing and Simulation, HPCS 2018

作者： Damaj, Adel W. El Misilmani, Hilal M. Chahine, Soubhi Abou Electrical and Computer Engineering Department Beirut Arab University Beirut Lebanon

ISBN: (纸本)9781538678787

Implanted biomedical devices are witnessing great attention in finding solutions to complex medical conditions. Many challenges face the design of implantable biomedical devices including designing and implanting antennas within hostile environment due to the surrounding tissues of human body. Implanted antennas must be compact in size, efficient, safe, and can effectively work within adequate medical frequency bands. this paper presents an overview of the major aspects related to the design and challenges of in body implanted antennas. the review includes surveying the applications, design methods, challenges, simulation tools, and testing and manufacturing of implantable biomedical antennas. © 2018 IEEE.

关键词： Design

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Parallel Algorithms for Multidimensional Data Streams Analysis with Tensor Subspace Models 16

Parallel Algorithms for Multidimensional Data Streams Analys...

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16th International Conference on high performance computing and Simulation, HPCS 2018

作者： Cyganek, Boguslaw 1AGH University of Science and Technology Al. Mickiewicza 30 Kraków30-059 Poland 2Academic Computer Center Cyfronet AGH Ul. Nawojki 11 Kraków30-950 Poland

ISBN: (纸本)9781538678787

In this paper the parallel models for processing of the multi-dimensional data streams are discussed. Stream analysis is performed by tensor models and a fitness measure. the method was tested on the problem of video shot detection showing good accuracy. In this paper efficient algorithms for tensor model construction and model update in the parallel processing framework are presented. Also the parallel version for the off-line stream processing is proposed. © 2018 IEEE.

关键词： Tensors

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