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Optimizing Dynamic Resource Allocation

Lucas W. Krakow, Louis Rabiet, Yun Zou, Guillaume Iooss, Edwin K.P. Chong, Sanjay Rajopadhye
2014 Procedia Computer Science  
We present a formulation, solution method, and program acceleration techniques for two dynamic control scenarios, both with the common goal of optimizing resource allocations.  ...  A novel aspect is included in the second scenario: dynamically allocating the computational resources in an online fashion which is made possible through constant aspect ratio tiling (CART).  ...  Through the non-myopic management of the computational resources, Section 4, energy and time expended for the tracking execution can be reduced in an optimal manner.  ... 
doi:10.1016/j.procs.2014.05.115 fatcat:xe42jy2q4jg5raeokutw75jhuq

Resource Taxonomy for a Fog System

Lisbeth Olinda Lopez Verdecie, Kirill Krinkin
2021 Zenodo  
We consider this work as the first step towards the construction of an ontology that supports the strong variety of the involved nodes of the cloud, the fog and the IoT, which would contribute to the homogenization  ...  Fog computing has emerged as a novel technology for solving the latency, network traffic management, and power consumption issues faced by Internet of Things ecosystems.  ...  We consider this work as the first step towards the construction of an ontology in this context. The rest of this paper is organized as follows.  ... 
doi:10.5281/zenodo.4770822 fatcat:gysp5msipja5xjmu45lnwsijh4

Runtime Resource Management in Heterogeneous System Architectures: The SAVE Approach

Gianluca C. Durelli, Marcello Pogliani, Antonio Miele, Christian Plessl, Heinrich Riebler, Marco D. Santambrogio, Gavin Vaz, Cristiana Bolchini
2014 2014 IEEE International Symposium on Parallel and Distributed Processing with Applications  
This paper presents a first implementation of a resource allocation policy that dynamically shares heterogeneous resources between multiple running applications.  ...  This scenario has propelled an interest towards self-adaptive systems that dynamically reorganize the use of system resources to optimize for a given goal.  ...  However, they still lack a comprehensive, autonomic OSes and runtimes, such as the K42 research OS [4] , which makes monitoring and adaptation first-class citizens.  ... 
doi:10.1109/ispa.2014.27 dblp:conf/ispa/DurelliPMPRSVB14 fatcat:ccsfd3f2tnhijged767ljiww2i

Implementing Agent-Based Resource Management in Tsunami Modeling – Preliminary Considerations [chapter]

Michał Drozdowicz, Kensaku Hayashi, Maria Ganzha, Marcin Paprzycki, Alexander Vazhenin, Yutaka Watanobe
2014 Lecture Notes in Computer Science  
Recently, work has started to apply the agent-semantic infrastructure, developed within the scope of the Agents in Grid project, to the resource management needed in tsunami modeling.  ...  The original proposal was based on the perceived simplicity, versatility and exibility of the agent-based approach that makes it easier to deploy than the standard grid middlewares.  ...  First, we have resigned from the notion of resource team, and placed a WorkerAgent (playing the role of the LMaster) on each computing node.  ... 
doi:10.1007/978-3-319-05693-7_6 fatcat:mymlqeaxlzhbzawprr4q62lwnu

HeteroCore GPU to Exploit TLP-Resource Diversity

Xia Zhao, Zhiying Wang, Lieven Eeckhout
2018 IEEE Transactions on Parallel and Distributed Systems  
Sharing GPU resources in such environments requires effective multitasking support.  ...  Graphics processing units (GPUs) are widely adopted as compute accelerators in cloud computing environments and supercomputers.  ...  first initiate a spatial profiling phase in which we partition the HeteroCore GPU into two groups with 4 big-SMs and 4 small-SMs each.  ... 
doi:10.1109/tpds.2018.2854764 fatcat:vwpoqnb3uzgzpaaqziokk2nk74

Software Resource Disaggregation for HPC with Serverless Computing [article]

Marcin Copik, Marcin Chrapek, Larissa Schmid, Alexandru Calotoiu, Torsten Hoefler
2024 arXiv   pre-print
Consequently, HPC systems fail to efficiently use the large pools of unused memory and increase the utilization of idle computing resources.  ...  We show how serverless functions provide fine-grained access to the resources of batch-managed cluster nodes.  ...  This work was partially supported by the ETH Future Computing Laboratory (EFCL), financed by a donation from Huawei Technologies.  ... 
arXiv:2401.10852v4 fatcat:odagfgmekrbn7iy3jct7ogai2u

Application-Driven Requirements for Node Resource Management in Next-Generation Systems

Edgar A. Leon, Balazs Gerofi, Julien Jaeger, Guillaume Mercier, Rolf Riesen, Masamichi Takagi, Brice Goglin
2020 2020 IEEE/ACM International Workshop on Runtime and Operating Systems for Supercomputers (ROSS)  
We then extract several themes from these applications that highlight next-generation requirements for node resource managers.  ...  Finally, using these requirements, we propose a general, cross-stack coordination framework and outline its components and functionality.  ...  Department of Energy by Lawrence Livermore National Laboratory under Contract DE-AC52-07NA27344, and the Exascale Computing Research laboratory with support of CEA, Intel, and UVSQ. LLNL-CONF-809181.  ... 
doi:10.1109/ross51935.2020.00006 fatcat:mp3krqiv55bgrhdtr5skurgg3u

A Holistic Resource Management for Graphics Processing Units in Cloud Computing

Abdulaziz Alnori, Karim Djemame
2018 Electronical Notes in Theoretical Computer Science  
Moreover, we develop a Heterogeneous GPUs analyser as the first step in the implementation of the proposed architecture.  ...  In this paper, we propose a systematic architecture to manage heterogeneous GPUs in a Cloud environment considering the performance and the energy consumption as key factors.  ...  consumption and increasing GPU resources sharing.  ... 
doi:10.1016/j.entcs.2018.09.002 fatcat:kc5mrpllijfsxck2ejzwmgmwbi

Quality of Service Driven Runtime Resource Allocation in Reconfigurable HPC Architectures

Marcello Pogliani, Gianluca C. Durelli, Antonio Miele, Tobias Becker
2016 2016 IEEE Intl Conference on Computational Science and Engineering (CSE) and IEEE Intl Conference on Embedded and Ubiquitous Computing (EUC) and 15th Intl Symposium on Distributed Computing and Applications for Business Engineering (DCABES)  
We implement the proposed resource manager in a commercial HPC system, evaluating its behavior with representative workloads.  ...  We propose a novel resource manager able to dynamically vary the number of FPGAs allocated to each of the jobs running in a multi-accelerator system, with the goal of meeting a given Quality of Service  ...  Resource management techniques are good enablers for resource sharing, even on devices conceived as singleapplication and single-user appliances: resource sharing can extend the suitability of HSAs to  ... 
doi:10.1109/cse-euc-dcabes.2016.156 dblp:conf/cse/PoglianiDMB16 fatcat:zox4kxyxhfa5dlaizatez3lzhq

Service Oriented Interactive Media (SOIM) Engines Enabled by Optimized Resource Sharing

Mahy Aly, Michael Franke, Moritz Kretz, Folker Schamel, Pieter Simoens
2016 2016 IEEE Symposium on Service-Oriented System Engineering (SOSE)  
In the same way as cloud computing, Software as a Service (SaaS) and Content Centric Networking (CCN) triggered a new class of software architectures fundamentally different from traditional desktop software  ...  slot management.  ...  The first approach applies a 1:1 mapping between GPU and OS.  ... 
doi:10.1109/sose.2016.47 dblp:conf/sose/AlyFKSS16 fatcat:runemwibdfh27guvwwqtucpf2y

Fluxion: A Scalable Graph-Based Resource Model for HPC Scheduling Challenges

Tapasya Patki, Dong Ahn, Daniel Milroy, Jae-Seung Yeom, Jim Garlick, Mark Grondona, Stephen Herbein, Thomas Scogland
2023 Proceedings of the SC '23 Workshops of The International Conference on High Performance Computing, Network, Storage, and Analysis  
The current era of exascale supercomputing and the emergence of a computing continuum present several significant resource management challenges.  ...  These include, but are not limited to, management of complex and high-throughput scientific workflows, diverse resources such as power and network bandwidth, extremely heterogenous and dynamic systems,  ...  Authors also wish to thank James Corbett, Al Chu, Don Lipari, Christopher Moussa, Chris Morrone, and Becky Springmeyer from the Flux team at Lawrence Livermore National Laboratory.  ... 
doi:10.1145/3624062.3624286 fatcat:5smy3cjklrgcpgr3cmnewwfw54

MARVEL - D5.3: HPC infrastructure and resource management for audio-visual data analytics – initial version

Marcin Lawenda
2022 Zenodo  
Computing resources for running applications come from domains like HPC and Cloud where virtual machines with framework services are set-up according to pilot demands.  ...  The purpose of this deliverable is to present respective activities to analyse and establish properly the architecture for initial MARVEL services deployment.  ...  HPC infrastructure' and 'Task 5.2. Resource management and optimised automatic usage of external computational and storage resources'.  ... 
doi:10.5281/zenodo.6821303 fatcat:i6jp42fubfelvl7ms5m76cmk5m

MARVEL - D5.3: HPC infrastructure and resource management for audio-visual data analytics – initial version

Marcin Lawenda
2022 Zenodo  
Computing resources for running applications come from domains like HPC and Cloud where virtual machines with framework services are set-up according to pilot demands.  ...  The purpose of this deliverable is to present respective activities to analyse and establish properly the architecture for initial MARVEL services deployment.  ...  HPC infrastructure' and 'Task 5.2. Resource management and optimised automatic usage of external computational and storage resources'.  ... 
doi:10.5281/zenodo.7543694 fatcat:xdclluaj3rhefhv6guyxz3uol4

Hetero-DB: Next Generation High-Performance Database Systems by Best Utilizing Heterogeneous Computing and Storage Resources

Kai Zhang, Feng Chen, Xiaoning Ding, Yin Huai, Rubao Lee, Tian Luo, Kaibo Wang, Yuan Yuan, Xiaodong Zhang
2015 Journal of Computer Science and Technology  
Hetero-DB develops a GPU-aware query execution engine with GPU device memory management and query scheduling mechanism to support concurrent query execution.  ...  To best utilize the hybrid hardware devices, the semantic information that is critical for storage I/O is identified and passed to the storage manager, which has a great potential to improve the efficiency  ...  PTask [37] adds abstractions of GPUs in the OS kernel to support managing GPUs as first-class computing resources.  ... 
doi:10.1007/s11390-015-1553-y fatcat:tv5xc6p4avhebfkhmzj5emcl2y

Techniques for Shared Resource Management in Systems with Throughput Processors [article]

Rachata Ausavarungnirun
2018 arXiv   pre-print
Our evaluations show that the GPU-aware cache and memory management techniques proposed in this dissertation are effective at mitigating the interference caused by GPUs on current and future GPU-based  ...  The continued growth of the computational capability of throughput processors has made throughput processors the platform of choice for a wide variety of high performance computing applications.  ...  Acknowledgements First and foremost, I would like to thank my parents, Khrieng and Ruchanee Ausavarungnirun for their endless encouragement, love, and support.  ... 
arXiv:1803.06958v1 fatcat:3mqbwegpkvdrpk6sqwb3ooyh7e
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