AggieGrid: from idle PCs to a distributed High-Throughput Computing system

被引:0
|
作者
Trecakov, Strahinja [1 ]
Von Wolff, Nicholas [1 ]
机构
[1] New Mexico State Univ, Las Cruces, NM 88003 USA
基金
美国国家科学基金会;
关键词
High-Throughput Computing; OpenScienceGrid; AggieGrid; HT-Condor;
D O I
10.1145/3626203.3670567
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
For a long time scientists relied on large, powerful, and centralized systems, called High-Performance Computers, to run their computational jobs. Usually there was a long queue of jobs that needed to be finished before researchers could get their hands on the system. This entailed a lot of wait time and was not efficient enough for the users, so engineers and scientists started thinking of a different approach for computational research. As personal computers (PCs) became more popular, and every person at an institution had one, engineers and scientists came up with an idea to create decentralized systems from servers that were sitting in data centers, personal computers, and idle High-Performance Computing (HPC) resources. These systems enable users to utilize large amounts of computation power across the cluster and the era of decentralized High-Throughput Computing (HTC) began. We present and discuss our design, deployment, and administration of a decentralized HTC cluster called AggieGrid that was built from hundreds of idle student lab machines and ran successfully for over 4 years.
引用
收藏
页数:4
相关论文
共 50 条
  • [31] HIGH-THROUGHPUT DNA PREPARATION SYSTEM
    GARNER, HR
    ARMSTRONG, B
    KRAMARSKY, DA
    GENETIC ANALYSIS-BIOMOLECULAR ENGINEERING, 1992, 9 (5-6): : 134 - 139
  • [32] Matchmaking: Distributed resource management for high throughput computing
    Raman, R
    Livny, M
    Solomon, M
    SEVENTH INTERNATIONAL SYMPOSIUM ON HIGH PERFORMANCE DISTRIBUTED COMPUTING - PROCEEDINGS, 1998, : 140 - 146
  • [33] Microfluidic system for high-throughput proteomics
    Le Gac, S
    Arscott, S
    Druon, C
    Tabourier, P
    Rolando, C
    NANOTECH 2003, VOL 1, 2003, : 70 - 73
  • [34] High-throughput genotyping: A complete system
    Nanthakumar, E
    Cunha, W
    Ederer, G
    Manaster, C
    Roter, A
    Gurevitch, D
    Watson, A
    Idury, R
    Cardon, L
    Hall, J
    AMERICAN JOURNAL OF HUMAN GENETICS, 1997, 61 (04) : A287 - A287
  • [35] Chimera: A Distributed High-throughput Low-latency Data Processing and Streaming System
    Lau, Pascal
    Maresca, Paolo
    THIRD INTERNATIONAL CONFERENCE ON ADVANCES AND TRENDS IN SOFTWARE ENGINEERING (SOFTENG 2017), 2017, : 16 - 24
  • [36] Supporting High-Performance and High-Throughput Computing for Experimental Science
    Huerta E.A.
    Haas R.
    Jha S.
    Neubauer M.
    Katz D.S.
    Computing and Software for Big Science, 2019, 3 (1)
  • [37] High-Throughput Computing on High-Performance Platforms: A Case Study
    Oleynik, Danila
    Panitkin, Sergey
    Turilli, Matteo
    Angius, Alessio
    Oral, Sarp
    De, Kaushik
    Klimentov, Alexei
    Wells, Jack C.
    Jha, Shantenu
    2017 IEEE 13TH INTERNATIONAL CONFERENCE ON E-SCIENCE (E-SCIENCE), 2017, : 295 - 304
  • [38] The Role of High Performance, Grid and Cloud Computing in High-Throughput Sequencing
    Lightbody, Gaye
    Browne, Fiona
    Zheng, Huiru
    Haberland, Valeriia
    Blayney, Jaine
    2016 IEEE INTERNATIONAL CONFERENCE ON BIOINFORMATICS AND BIOMEDICINE (BIBM), 2016, : 890 - 895
  • [39] Transparent conducting materials discovery using high-throughput computing
    Guillaume Brunin
    Francesco Ricci
    Viet-Anh Ha
    Gian-Marco Rignanese
    Geoffroy Hautier
    npj Computational Materials, 5
  • [40] High-Throughput Cloud Computing with the Cloudscheduler VM Provisioning Service
    Berghaus F.
    Casteels K.
    Driemel C.
    Ebert M.
    Galindo F.F.
    Leavett-Brown C.
    MacDonell D.
    Paterson M.
    Seuster R.
    Sobie R.J.
    Tolkamp S.
    Weldon J.
    Computing and Software for Big Science, 2020, 4 (1)