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High-Throughput Computing on High-Performance Platforms: A Case Study [article]

Danila Oleynik, Sergey Panitkin, Matteo Turilli, Alessio Angius, Kaushik De, Alexei Klimentov, Sarp H. Oral, Jack C. Wells, Shantenu Jha
2017 arXiv   pre-print
This paper is a case study of how the ATLAS experiment has embraced Titan---a DOE leadership facility in conjunction with traditional distributed high- throughput computing to reach sustained production  ...  with production supercomputers and other platforms in a general and extensible manner.  ...  This paper represents the experience of how the ATLAS experiment has "broken free" of the traditional computational approach of high-throughput computing on distributed resources to embrace new platforms  ... 
arXiv:1704.00978v2 fatcat:xsbd4vmq3nc5rnomay2dhihdvy

The role of high performance, grid and cloud computing in high-throughput sequencing

Gaye Lightbody, Fiona Browne, Huiru Zheng, Valeriia Haberland, Jaine Blayney
2016 2016 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)  
To fully benefit from such a profusion of data high performance tools and systems are needed to extract the information lying within the sequences.  ...  We have reached the era of full genome sequencing using high throughput sequencing technologies pouring out gigabases of reads in a day.  ...  HIGH PERFORMANCE COMPUTING SOLUTIONS Each application will have a varied computational demand. The sections below discuss high performance computing solutions ranging in computational performance.  ... 
doi:10.1109/bibm.2016.7822643 dblp:conf/bibm/LightbodyBZHB16 fatcat:emjxedmvrnfshdtrynakwurl4q

Mapping Pipelined Applications with Replication to Increase Throughput and Reliability

Anne Benoit, Loris Marchal, Yves Robert, Oliver Sinnen
2010 2010 22nd International Symposium on Computer Architecture and High Performance Computing  
We study the complexity of the various subproblems and show how a solution can be obtained for the polynomial cases.  ...  ., a pipeline, onto heterogeneous processors, while considering both the performance, measured as throughput, and the reliability.  ...  Note that we could envision that faster teams would perform more computations, i.e., operate on more data sets, than slower ones.  ... 
doi:10.1109/sbac-pad.2010.16 dblp:conf/sbac-pad/BenoitMRS10 fatcat:qzqq3o4g55g5ni7qumiz2en3h4

Implementing sparse matrix-vector multiplication on throughput-oriented processors

Nathan Bell, Michael Garland
2009 Proceedings of the Conference on High Performance Computing Networking, Storage and Analysis - SC '09  
This is roughly 2.8 times the throughput previously achieved on Cell BE and more than 10 times that of a quad-core Intel Clovertown system.  ...  Furthermore, they deliver excellent total throughput, averaging 16 GFLOP/s and 10 GFLOP/s in double precision for structured grid and unstructured mesh matrices, respectively, on a GeForce GTX 285.  ...  Acknowledgements We thank Sam Williams and Richard Vuduc for providing the matrices and multicore performance results used in our performance study.  ... 
doi:10.1145/1654059.1654078 dblp:conf/sc/BellG09 fatcat:52dvefyvjfgp3kit3l6ad3e6um

Algorithms for high-throughput disk-to-disk sorting

Hari Sundar, Dhairya Malhotra, Karl W. Schulz
2013 Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis on - SC '13  
We analyze the performance including the cost of IO and demonstrate the fastest (to the best of our knowledge) reported throughput using the canonical sortBenchmark on a generalpurpose, production HPC  ...  By clever use of available storage and a formulation of asynchronous data transfer mechanisms, we are able to almost completely hide the computation (sorting) behind the IO latency.  ...  Computing time on ORNL's Titan system was provided by an allocation from the Oak Ridge Leadership Computing Facility. We would also like to thank Dr.  ... 
doi:10.1145/2503210.2503259 dblp:conf/sc/SundarMS13 fatcat:lxz6chls7rcx5pka55f7bjlwn4

Compute and data management strategies for grid deployment of high throughput protein structure studies

Ian Stokes-Rees, Piotr Sliz
2010 2010 3rd Workshop on Many-Task Computing on Grids and Supercomputers  
We have developed a general platform for the secure deployment of structural biology computational tasks and workflows into a federated grid which maximizes robustness, ease of use, and performance, while  ...  The study of macromolecular protein structures at an atomic resolution is the source of many data and compute intensive challenges, from simulation, to image processing, to model building.  ...  ACKNOWLEDGMENT We thank Peter Doherty for grid computing support, Mats Rynge for Matchmaker customizations, Igor Sfiligoi for assistance with glideinWMS, and Steve Timm for operational assistance.  ... 
doi:10.1109/mtags.2010.5699426 dblp:conf/sc/Stokes-ReesS10 fatcat:l6moi4ggljf7ngjje52ch5r4gy

Evaluating latency and throughput bound acceleration of FPGAs and GPUs for adaptive optics algorithms

Vivek Venugopalan
2014 2014 IEEE High Performance Extreme Computing Conference (HPEC)  
Two different correlation methods are studied and targeted on the hardware accelerators for optimal performance.  ...  General purpose extremely large aperture optical/infrared telescopes are instrumental in vastly advancing the astrophysical knowledge on a variety of subjects such as star formation, super-massive black  ...  Hence, in this case parallelism yields better performance. At the same time, the FPGA solution can be fine-tuned to provide higher throughput.  ... 
doi:10.1109/hpec.2014.7040964 dblp:conf/hpec/Venugopalan14 fatcat:j4uohh6nefbbrppxhvzalxhwym


Jin Zhao, Yu Zhang, Xiaofei Liao, Ligang He, Bingsheng He, Hai Jin, Haikun Liu, Yicheng Chen
2019 Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis on - SC '19  
With the rapidly growing demand of graph processing in the real world, a large number of iterative graph processing jobs run concurrently on the same underlying graph.  ...  Our studies show that they are inefficient when running concurrent jobs due to the redundant data storage and access overhead.  ...  and 13 times on average respectively in the case of out-of-core processing.  ... 
doi:10.1145/3295500.3356143 dblp:conf/sc/ZhaoZLHH0LC19 fatcat:fmfizmiyifeijpemzfygypclvu

Incentivized Blockchain-based Social Media Platforms: A Case Study of Steemit [article]

Chao Li, Balaji Palanisamy
2021 arXiv   pre-print
Our study performed on 539 million operations performed by 1.12 million Steemit users during the period 2016/03 to 2018/08 reveals that the actual level of decentralization in Steemit is far lower than  ...  Although such a reward system is originally driven by the desire to incentivize users to contribute to high-quality contents, our analysis of the underlying cryptocurrency transfer network on the blockchain  ...  [19] studied the decentralized content curation mechanism from a computational perspective.  ... 
arXiv:1904.07310v2 fatcat:liunyo56nzfgtchwdqe3nlbykm

Performance and Portability with OpenCL for Throughput-Oriented HPC Workloads across Accelerators, Coprocessors, and Multicore Processors

Chongxiao Cao, Mark Gates, Azzam Haidar, Piotr Luszczek, Stanimire Tomov, Ichitaro Yamazaki
2014 2014 5th Workshop on Latest Advances in Scalable Algorithms for Large-Scale Systems  
We evaluate these aspects of OpenCL on a number of hardware platforms for an important subset of dense linear algebra operations that are relevant to a wide range of scientific applications.  ...  The combined performance-portability metric, even though not promised by the OpenCL standard, reflects the need for tuning performance-critical operations during the porting process and we show how a large  ...  We show that obtaining high-performance still depends on hardware-specific optimizations.  ... 
doi:10.1109/scala.2014.8 dblp:conf/sc/CaoGHLTYD14 fatcat:iylvagqyevaobl4zjdfrf5e5sq

A case study of high-throughput biological data processing on parallel platforms

D. Pekurovsky, I. N. Shindyalov, P. E. Bourne
2004 Bioinformatics  
Motivation: Analysis of large biological data sets using a variety of parallel processor computer architectures is a common task in bioinformatics.  ...  CEPAR design and implementation are described and results provided for the efficiency of the algorithm when run on a large number of processors.  ...  Parallel runs were made on computers at the SDSC.  ... 
doi:10.1093/bioinformatics/bth184 pmid:15044237 fatcat:mv4x6dkgdfgprpfcmulel2fxyi

Channel Capacity of High Altitude Platform Systems: A case study

Nguyen Thu Hien, Vu Van San, Nguyen Viet Hung
2017 Research and Development on Information and Communication Technology  
This paper presents a model for Multiple-Input Multiple-Output (MIMO) Land High Altitude Platform channels and analytical evaluation of Discrete-input Continuousoutput Memoryless Channel capacity for High  ...  Altitude Platform (HAP)–MIMO systems, where practical transmission environments are considered.  ...  Details on computing these attenuation can be refer to [13] . III.  ... 
doi:10.32913/rd-ict.vol3.no14.540 fatcat:l3fk5gwmffgolkpqwqyt2mb264

Financial Big Data Analysis and Early Warning Platform: A Case Study

Yi Liang, Daiyong Quan, Fang Wang, Xiaojun Jia, Menggang Li, Ting Li
2020 IEEE Access  
technologies to establish a suitable style for data analysis and big data computation frame.  ...  Utilizing the big data analysis, an emerging information technology method, we can be able to explore new risk early-warning methods, build a risk monitoring and early-warning platform and achieve scientific  ...  This project studies the load balancing architecture and algorithms for real-time cloud computing platforms and proposes a high-availability real-time cloud computing system based on this.  ... 
doi:10.1109/access.2020.2969039 fatcat:ifjy3e23wjgkdi6iqeinz6j4eu

High performance computing on SpiNNaker neuromorphic platform: A case study for energy efficient image processing

Indar Sugiarto, Gengting Liu, Simon Davidson, Luis A. Plana, Steve B. Furber
2016 2016 IEEE 35th International Performance Computing and Communications Conference (IPCCC)  
This paper presents an efficient strategy to implement parallel and distributed computing for image processing on a neuromorphic platform.  ...  This will be very useful for applications such as energy-aware and time-critical-mission robotics as well as very high resolution computer vision systems.  ...  On the other hand, the emergence of neuromorphic technology, i.e., computing platforms inspired by the brain, offers a new paradigm of computation.  ... 
doi:10.1109/pccc.2016.7820645 dblp:conf/ipccc/SugiartoLDPF16 fatcat:osuhf7qm75ayhl5ihe7rcs4rmi

Understanding a Deep Learning Technique through a Neuromorphic System a Case Study with SpiNNaker Neuromorphic Platform

Indar Sugiarto, Felix Pasila, R.H. Setyobudi, E. Alasaarela, F. Pasila, G. Chan, S.-G. Lee
2018 MATEC Web of Conferences  
This paper is a literature review that contains comparative study on algorithms that have been implemented in SpiNNaker.  ...  In this paper, a neuromorphic platform called SpiNNaker is described and evaluated in order to understand its potential use as a platform for a deep learning approach.  ...  study and the discussion with the SpiNNaker team as well as with the experts in the field of neuromorphic technology.  ... 
doi:10.1051/matecconf/201816401015 fatcat:yenldx2mrrdzhhpcipuntbhl5y
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