Title :
Large-Scale Simulations of Sky Surveys
Author :
Heitmann, Katrin ; Habib, Salman ; Finkel, Hal ; Frontiere, Nicholas ; Pope, Adrian ; Morozov, Valentin ; Rangel, Steve ; Kovacs, Erno ; Kwan, Juliana ; Nan Li ; Rizzi, Silvio ; Insley, Joe ; Vishwanath, Venkatram ; Peterka, Tom ; Daniel, David ; Fasel, P
Author_Institution :
Argonne Nat. Lab., Argonne, IL, USA
Abstract :
Large-volume sky surveys have accessed the Universe´s vast temporal and spatial expanse via a remarkable set of measurements, and many more are sure to follow. To make new predictions for these cosmological observations and to properly interpret them, large-scale numerical simulation and modeling has become an essential tool. Here, the authors discuss Hardware/Hybrid Accelerated Cosmology Code (HACC), an extreme-scale N-body cosmology code and its associated analysis framework, focusing on the complexity of the analysis workflow, which is as important as running the underlying simulation.
Keywords :
astronomy computing; cosmology; numerical analysis; HACC; associated analysis framework; cosmological observations; extreme-scale N-body cosmology code; hardware-hybrid accelerated cosmology code; large-scale numerical simulation; large-volume sky surveys; Analytical models; Computational modeling; Computer architecture; Data models; High performance computing; Simulation; Supercomputers; cosmology code; large-scale simulations; physics; scientific computing; supercomputing;
Journal_Title :
Computing in Science & Engineering
DOI :
10.1109/MCSE.2014.49
