A GPU-based Correlator X-engine Implemented on the CHIME Pathfinder

被引:0
|
作者
Denman, Nolan [1 ,2 ]
Amiri, Mandana [3 ]
Bandura, Kevin [4 ]
Connor, Liam [1 ,2 ,5 ]
Dobbs, Matt [4 ,6 ]
Fandino, Mateus [3 ]
Halpern, Mark [3 ]
Hincks, Adam [3 ]
Hinshaw, Gary [3 ]
Hofer, Carolin [3 ]
Klages, Peter [1 ]
Masui, Kiyoshi [3 ,6 ]
Parra, Juan Mena [4 ]
Newburgh, Laura [1 ]
Recnik, Andre [1 ]
Shaw, J. Richard [5 ]
Sigurdson, Kris [3 ]
Smith, Kendrick [7 ]
Vanderlinde, Keith [1 ,2 ]
机构
[1] Univ Toronto, Dunlap Inst, Toronto, ON M5S 1A1, Canada
[2] Univ Toronto, Dept Astron & Astrophys, Toronto, ON M5S 1A1, Canada
[3] Univ British Columbia, Dept Phys & Astron, Vancouver, BC V5Z 1M9, Canada
[4] McGill Univ, Dept Phys, Montreal, PQ H3A 2T5, Canada
[5] Canadian Inst Theoret Astrophys, Toronto, ON, Canada
[6] Canadian Inst Adv Res, CIFAR Program Cosmol & Grav, Toronto, ON, Canada
[7] Perimeter Inst Theoret Phys, Waterloo, ON, Canada
关键词
D O I
暂无
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
We present the design and implementation of a custom GPU-based compute cluster that provides the correlation X-engine of the CHIME Pathfinder radio telescope. It is among the largest such systems in operation, correlating 32,896 baselines (256 inputs) over 400MHz of radio bandwidth. Making heavy use of consumer-grade parts and a custom software stack, the system was developed at a small fraction of the cost of comparable installations. Unlike existing GPU backends, this system is built around OpenCL kernels running on consumer-level AMD GPUs, taking advantage of low-cost hardware and leveraging packed integer operations to double algorithmic efficiency. The system achieves the required 105 TOPS in a 10kW power envelope, making it one of the most power-efficient X-engines in use today.
引用
收藏
页码:35 / 40
页数:6
相关论文
共 43 条
  • [31] Clinical validation of a GPU-based Monte Carlo dose engine of a commercial treatment planning system for pencil beam scanning proton therapy
    Fracchiolla, Francesco
    Engwall, Erik
    Janson, Martin
    Tamm, Fredrik
    Lorentini, Stefano
    Fellin, Francesco
    Bertolini, Mattia
    Algranati, Carlo
    Righetto, Roberto
    Farace, Paolo
    Amichetti, Maurizio
    Schwarz, Marco
    PHYSICA MEDICA-EUROPEAN JOURNAL OF MEDICAL PHYSICS, 2021, 88 : 226 - 234
  • [32] RealGraphGPU: A High-Performance GPU-Based Graph Engine toward Large-Scale Real-World Network Analysis
    Jang, Myung-Hwan
    Ko, Yunyong
    Jeong, Dongkyu
    Park, Jeong-Min
    Kim, Sang-Wook
    PROCEEDINGS OF THE 31ST ACM INTERNATIONAL CONFERENCE ON INFORMATION AND KNOWLEDGE MANAGEMENT, CIKM 2022, 2022, : 4074 - 4078
  • [33] Implementation of Heterogeneous Computing Methods and Development of an EGSnrc-Based External Beam Dose Engine for Validating a GPU-Based Monte Carlo Code, ARCHER
    Adam, D.
    Lin, H.
    Liu, T.
    Caracappa, P.
    Xu, X.
    Bednarz, B.
    MEDICAL PHYSICS, 2018, 45 (06) : E444 - E445
  • [34] Rapid simulation of X-ray transmission imaging for baggage inspection via GPU-based ray-tracing
    Gong, Qian
    Stoian, Razvan-Ionut
    Coccarelli, David S.
    Greenberg, Joel A.
    Vera, Esteban
    Gehm, Michael E.
    NUCLEAR INSTRUMENTS & METHODS IN PHYSICS RESEARCH SECTION B-BEAM INTERACTIONS WITH MATERIALS AND ATOMS, 2018, 415 : 100 - 109
  • [35] Rapid simulation of X-ray scatter measurements for threat detection via GPU-based ray-tracing
    Gong, Qian
    Greenberg, Joel A.
    Stoian, Razvan-Ionut
    Coccarelli, David
    Vera, Esteban
    Gehm, Michael E.
    NUCLEAR INSTRUMENTS & METHODS IN PHYSICS RESEARCH SECTION B-BEAM INTERACTIONS WITH MATERIALS AND ATOMS, 2019, 449 : 86 - 93
  • [36] GPU-based optical propagation simulator of a laser-processed crystal block for the X'tal cube PET detector
    Ogata Y.
    Ohnishi T.
    Moriya T.
    Inadama N.
    Nishikido F.
    Yoshida E.
    Murayama H.
    Yamaya T.
    Haneishi H.
    Radiological Physics and Technology, 2014, 7 (1) : 35 - 42
  • [37] Validation of GPU-Based Monte Carlo Code (gPMC) Versus Fully Implemented Monte Carlo Code (TOPAS) for Proton Radiation Therapy: Clinical Cases Study
    Giantsoudi, D.
    Schuemann, J.
    Dowdell, S.
    Jia, X.
    Jiang, S.
    Paganetti, H.
    MEDICAL PHYSICS, 2014, 41 (06) : 535 - 535
  • [38] Dosimetric validation of a GPU-based dose engine for a fast in silico patient-specific quality assurance program in light ion beam therapy
    Magro, Giuseppe
    Fassi, Martina
    Mirandola, Alfredo
    Rossi, Eleonora
    Molinelli, Silvia
    Russo, Stefania
    Bazani, Alessia
    Vai, Alessandro
    Ciocca, Mario
    Donetti, Marco
    Mairani, Andrea
    MEDICAL PHYSICS, 2022, 49 (12) : 7802 - 7814
  • [39] MCR toolkit: A GPU-based toolkit for multi-channel reconstruction of preclinical and clinical x-ray CT data
    Clark, Darin P.
    Badea, Cristian T.
    MEDICAL PHYSICS, 2023, 50 (08) : 4775 - 4796
  • [40] ARCHERRT - A GPU-based and photon-electron coupled Monte Carlo dose computing engine for radiation therapy: Software development and application to helical tomotherapy
    Su, Lin
    Yang, Youming
    Bednarz, Bryan
    Sterpin, Edmond
    Du, Xining
    Liu, Tianyu
    Ji, Wei
    Xu, X. George
    MEDICAL PHYSICS, 2014, 41 (07)