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The Who, What, Why, and How of High Performance Computing in the Cloud

Abhishek Gupta, Laxmikant V. Kale, Filippo Gioachin, Verdi March, Chun Hui Suen, Bu-Sung Lee, Paolo Faraboschi, Richard Kaufmann, Dejan Milojicic
2013 2013 IEEE 5th International Conference on Cloud Computing Technology and Science  
To this end, we perform a comprehensive performance evaluation and analysis of a set of benchmarks and complex HPC applications on a range of platforms, varying from supercomputers to clouds.  ...  Cloud computing is emerging as an alternative to supercomputers for some of the high-performance computing (HPC) applications that do not require a fully dedicated machine.  ...  ACKNOWLEDGMENTS The authors gratefully acknowledge Lavanya Ramakrishnan of US DoE's Magellan project and Robert Schreiber of HP labs for reviewing this paper and providing valuable feedback.  ... 
doi:10.1109/cloudcom.2013.47 dblp:conf/cloudcom/GuptaKGMSLFKM13 fatcat:g26bxhal7fekrkqx3ea52ff2ke

Cloud Benchmarking For Maximising Performance of Scientific Applications

Blesson Varghese, Ozgur Akgun, Ian Miguel, Long Thai, Adam Barker
2016 IEEE Transactions on Cloud Computing  
The weights along with benchmarking data collected from the cloud are used to generate a set of two rankings - one based only on the performance of the VMs and the other takes both performance and costs  ...  The research reported in this paper addresses the above question by proposing a six step benchmarking methodology in which a user provides a set of weights that indicate how important memory, local communication  ...  Step 2 -Application-based Cloud Ranking: based on the performance of the VMs in the empirical analysis they are ranked.  ... 
doi:10.1109/tcc.2016.2603476 fatcat:kgffsm3su5a43f6guzrbfq4szm

Mining on Someone Else's Dime: Mitigating Covert Mining Operations in Clouds and Enterprises [chapter]

Rashid Tahir, Muhammad Huzaifa, Anupam Das, Mohammad Ahmad, Carl Gunter, Fareed Zaffar, Matthew Caesar, Nikita Borisov
2017 Lecture Notes in Computer Science  
In this paper, we present MineGuard, a tool that can detect mining behavior in real-time across pools of mining VMs or processes, and prevent abuse despite an active adversary trying to bypass the defenses  ...  We empirically demonstrate the uniqueness of mining behavior and show the effectiveness of our mitigation approach(≈ 99.7% detection rate).  ...  By performing per feature noise profiling (on both OS and VM environments using all miner and cloud workloads) for all 26 HPCs (see Table 2 ), we found that roughly one-fourth of the counters show variation  ... 
doi:10.1007/978-3-319-66332-6_13 fatcat:gke6m46wazhubndezdfasis7km

An Empirical-cum-Statistical Approach to Power-Performance Characterization of Concurrent GPU Kernels [article]

Nilanjan Goswami, Amer Qouneh, Chao Li, Tao Li
2020 arXiv   pre-print
K20 across 12 benchmarks.  ...  Diversity analysis of proposed multi-kernels confirms characteristic variation and power-profile diversity within the suite.  ...  Cloud-based HPC datacenters are gradually procuring GPU-like throughput processors for energy-efficient compute-intensive tasks.  ... 
arXiv:2011.02368v2 fatcat:xgce6gvcjjcilfwem452yd3hsi

Catch Me If You Can: Using Power Analysis to Identify HPC Activity [article]

Bogdan Copos, Sean Peisert
2020 arXiv   pre-print
Monitoring users on large computing platforms such as high performance computing (HPC) and cloud computing systems is non-trivial.  ...  We test our approach on an HPC rack at Lawrence Berkeley National Laboratory using a variety of scientific benchmarks.  ...  Acknowledgements An earlier description of this work was published in Chapter 4 of Bogdan Copos's University of California, Davis Ph.D dissertation [9] .  ... 
arXiv:2005.03135v1 fatcat:jy265oxe7rb5pekshnifgvpne4

Scalable agent-based modelling with cloud HPC resources for social simulations

Peter Wittek, Xavier Rubio-Campillo
2012 4th IEEE International Conference on Cloud Computing Technology and Science Proceedings  
of cloud computing within this context.  ...  Given the computational requirement of realistic agent-based models, high-performance computing infrastructure is often necessary to perform the calculations.  ...  This is the fundamental reason for cloud HPC in ABM simulations. The flexibility and cost-effectiveness of cloud computing infrastructure has already been recognized for HPC solutions.  ... 
doi:10.1109/cloudcom.2012.6427498 dblp:conf/cloudcom/WittekR12 fatcat:4msh57gztvgona4xhc766lijwe

Characterization and Optimization of Memory-Resident MapReduce on HPC Systems

Yandong Wang, Robin Goldstone, Weikuan Yu, Teng Wang
2014 2014 IEEE 28th International Parallel and Distributed Processing Symposium  
This work characterizes the performance impact of key differences between compute-and data-centric paradigms and then provides optimizations to enable a dual-purpose HPC system that can efficiently support  ...  the performance of Spark applications.  ...  This work was also performed under the auspices of the US Department of Energy by Lawrence Livermore National Laboratory under Contract DE-AC52-07NA27344 (LLNL-CONF-647813).  ... 
doi:10.1109/ipdps.2014.87 dblp:conf/ipps/WangGYW14 fatcat:b65tfnopz5d4tpkkn5olzudski

IaaS Cloud Benchmarking: Approaches, Challenges, and Experience [chapter]

Alexandru Iosup, Radu Prodan, Dick Epema
2014 Cloud Computing for Data-Intensive Applications  
In this article we focus on the IaaS cloudspecific elements of benchmarking, from a user's perspective.  ...  We propose a generic approach for IaaS cloud benchmarking, discuss numerous challenges in developing this approach, and summarize our experience towards benchmarking IaaS clouds.  ...  We have surveyed in our previous work [26] , [27] over ten performance studies that use common benchmarks to assess the virtualization overhead on computation (5-15%), I/O (10-30%), and HPC kernels  ... 
doi:10.1007/978-1-4939-1905-5_4 fatcat:27lr6kkccvdydmviuot6f2khgm

Dynamic Provisioning of Storage Resources: A Case Study with Burst Buffers

Francois Tessier, Maxime Martinasso, Matteo Chesi, Mark Klein, Miguel Gila
2020 2020 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW)  
Complex applications and workflows needs are often exclusively expressed in terms of computational resources on HPC systems.  ...  Finally, we evaluate the performance of the provisioned storage system with a set of benchmarks.  ...  In a period of HPC/Cloud convergence, such a technique brings the flexibility of a Cloud environment onto performance of an HPC system.  ... 
doi:10.1109/ipdpsw50202.2020.00173 dblp:conf/ipps/TessierMCKG20 fatcat:yoc33iovbzdwje35gcd4t272ji

ACIC

Mingliang Liu, Ye Jin, Jidong Zhai, Yan Zhai, Qianqian Shi, Xiaosong Ma, Wenguang Chen
2013 Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis on - SC '13  
It has been observed that changing cloud I/O system configurations leads to significant variation in the performance and cost efficiency of I/O intensive HPC applications.  ...  The cloud has become a promising alternative to traditional HPC centers or in-house clusters.  ...  Special thanks goes to Heshan Lin and Ruini Xue for taking the time and effort to participate in our user study on mpiBLAST.  ... 
doi:10.1145/2503210.2503216 dblp:conf/sc/LiuJZZSMC13 fatcat:6p7d3z5ttbbp5ilpjdw5imsd3a

Environment-conscious scheduling of HPC applications on distributed Cloud-oriented data centers

Saurabh Kumar Garg, Chee Shin Yeo, Arun Anandasivam, Rajkumar Buyya
2011 Journal of Parallel and Distributed Computing  
The use of High Performance Computing (HPC) in commercial and consumer IT applications is becoming popular.  ...  Cloud computing promises to deliver such a computing infrastructure using data centers so that HPC users can access applications and data from a Cloud anywhere in the world on demand and pay based on what  ...  This work is partially supported by research grants from the Australian Research Council (ARC) and Australian Department of Innovation, Industry, Science and Research (DIISR).  ... 
doi:10.1016/j.jpdc.2010.04.004 fatcat:zmhilqvz5jbkbjclbiklcy7nq4

Why High-Performance Modelling and Simulation for Big Data Applications Matters [chapter]

Clemens Grelck, Ewa Niewiadomska-Szynkiewicz, Marco Aldinucci, Andrea Bracciali, Elisabeth Larsson
2019 Msphere  
Unfortunately, big data problems are often not easily amenable to efficient and effective use of High Performance Computing (HPC) facilities and technologies.  ...  One of the tangible outcomes of the COST Action is a collection of case studies from various computing domains.  ...  We would like to thank all members of the COST Action for their direct or indirect contributions to this work and the success of the COST Action in general. We  ... 
doi:10.1007/978-3-030-16272-6_1 fatcat:3zyj3266mzhffeic5rlqqe7mx4

Energy-Efficient Thermal-Aware Autonomic Management of Virtualized HPC Cloud Infrastructure

Ivan Rodero, Hariharasudhan Viswanathan, Eun Kyung Lee, Marc Gamell, Dario Pompili, Manish Parashar
2012 Journal of Grid Computing  
Virtualized datacenters and clouds are being increasingly considered for traditional High-Performance Computing (HPC) workloads that have typically targeted Grids and conventional HPC platforms.  ...  for HPC applications requires careful consideration of important and extremely challenging tradeoffs.  ...  As the traces found from different systems did not provide all the information needed for our analysis, we needed to complete them using a model based on the benchmarking of HPC applications (see Section  ... 
doi:10.1007/s10723-012-9219-2 fatcat:zxxyef4dwzftjeaaqs2r5feb6u

Double-precision FPUs in High-Performance Computing: an Embarrassment of Riches? [article]

Jens Domke, Kazuaki Matsumura, Mohamed Wahib, Haoyu Zhang, Keita Yashima, Toshiki Tsuchikawa, Yohei Tsuji, Artur Podobas, Satoshi Matsuoka
2019 arXiv   pre-print
Among the (uncontended) common wisdom in High-Performance Computing (HPC) is the applications' need for large amount of double-precision support in hardware.  ...  This fortunate discrepancy allows us to empirically quantify the performance impact in reducing the amount of hardware double-precision arithmetic.  ...  INTRODUCTION It is becoming increasingly clear that the road forward in High-Performance Computing (HPC) is one full of obstacles.  ... 
arXiv:1810.09330v3 fatcat:yqptcn6eozgxtaqnrj7e4aggqa

Evaluating Cloud Platform Architecture with the CARE Framework

Liang Zhao, Anna Liu, Jacky Keung
2010 2010 Asia Pacific Software Engineering Conference  
Result shows the effectiveness of CARE in the evaluation of cloud variations in terms of scalability, availability and responsiveness, across both compute and storage capabilities.  ...  Thus placing CARE as an important tool in the path of cloud computing research.  ...  Computing (HPC) applications on the Cloud.  ... 
doi:10.1109/apsec.2010.17 dblp:conf/apsec/ZhaoLK10 fatcat:pxwxrx4gxregfde6knqklreg6q
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