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Explore the core collapse supernova mechanism, element synthesis, and enabling technologies for simulations. Collaboration with 77 experts from 24 institutions for data management, network optimization, and visualization. Invest in networking technologies to meet the growing data demands of TSI’s future simulations.
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TeraScale Supernova Initiative: A Networker’s Challenge http://www.phy.ornl.gov/tsi/ Explosions of Massive Stars • Relevance: • Element Production • Cosmic Laboratories • Driving Application • 11 Institution, 21 Investigator, 34 Person, Interdisciplinary Effort • ascertain the core collapse supernova mechanism(s) • understand supernova phenomenology • e.g.: (1) element synthesis, (2) neutrino, gravitational wave, and gamma ray signatures • provide theoretical foundation in support of OS experimental facilities (RHIC, SNO, RIA, NUSEL) • develop enabling technologies of relevance to many applications • e.g. 3D, multifrequency, precision radiation transport • serve as testbed for development and integration of technologies in simulation “pipeline” • e.g. data management, networking, data analysis, and visualization With ISIC and other collaborators: 77 people from 24 institutions involved.
Anatomy of a Supernova Need Boltzmann Solution • Need Angular Distribution • Need Spectrum • Need Neutrino Distribution • Fluid Instabilities • Rotation • Magnetic Fields Need these to few percent accuracy! 6D RMHD Problem!
Equations We Solve Dominant Computation: Nonlinear, integro-partial differential equations for the radiation distribution functions. Spherical Symmetry Axisymmetry No Symmetry Example: Boltzmann transport equation for spherical symmetry.
Data Management • 3D Hydrodynamics Run • 5 Variables (Density, Entropy, Three Fluid Velocities) • 1024 X 1024 X 1024 Cartesian Grid • 1000 Time Steps 43 Terabyte Dataset “The flea on the tail on the dog…” Multidimensional Neutrino Data 13 Petabyte Dataset ~3 Petabyte Dataset ...in weeks to months on a PF platform.
Networking Bulk Data Transfer Needs Needs for Collaborative Visualization Raw Bandwidth Needs • Need end-to-end dedicated paths/bandwidth, • on demand. • Interactive visualization. • Real-time collaboration. • Need protocols that provide this capability. • None exist that will give 10 Gbps throughputs • and stable control. • Work with Nagi Rao (ORNL). What about the radiation field data? @ 3 PB!
Addressing Bulk Data Transfer Needs: • Logistical Networking • Light Weight • Low Level • Deployable … Solution • New Paradigm • Integrate storage and networking. • Multi-source, multi-stream. • Data transfer rates 200-300 Mbps • using TCP/IP! • Limit set by ORNL firewall. • Greater rates expected • outside firewall, • other protocols (e.g., Sabul). • Direct impact on TSI’s ability to • do work! Atchley, Beck, and Moore (2003)
Summary • Without putting in place the needed computational science infrastructure, • our science will simply be inaccessible in the future. • Significant progress has been made in the areas of • linear solvers, • performance analysis and optimization, • data management and analysis, • networking, • and visualization. • In particular, Logistical Networking has provided an easily deployable • solution to our current bulk data transfer needs and has had a significant • impact on TSI’s current ability to do science. • TSI’s future data management and networking needs are daunting. TSI will • generate hundreds of TeraBytes of simulation data per simulation within the • next two years. What then? • Meeting these needs will require every new idea. Investment now in networking • technologies will allow us to meet these needs.
