DARK-ERA : Dataflow Algorithm aRchitecture co-design of SKA pipeline for Exascale Radio Astronomy
Only 127 seats left
Wednesday, June 30, 2021 3:00 PM to 4:00 PM · 1 hr. (Africa/Abidjan)
Exascale SystemsHPC Workflows
Information
Contributors:
Abstract:
The exascale radio telescope SKA will require supercomputers with high technical constraints. The Science Data Processor (SDP) pipeline in charge of producing the multidimensional images of the sky will have to execute in realtime a complex algorithm chain from data coming from telescopes at an incredible rate of several Tb/s and without any storage capabilities. The SDP will also have to be as green as possible with an energy budget of only 1 MWatt for 250 Petaflops. Such energy and computation requirements imply the SDP to be an innovative dataflow oriented and heterogeneous architecture. This supercomputer will be based on a standard HPC system combined with FPGA or application-specific architectures like GPU or the manycore Kalray MPPA. One crucial challenge is to assess the performance both in time and energy of new complex scientific dataflow algorithms on not-yet-existing complex computing infrastructure. In that goal, SimSDP is a rapid prototyping tool for SKA-like dataflow applications developed by the Dark-Era project. Through an original mixed approach based on execution and simulation, SimSDP purpose is to provide early analyses in terms of memory usage, latency, throughput, and energy consumption. Following an Algorithm Architecture Matching (AAM) approach, SimSDP will rely on a dataflow model of the algorithm and a model of the target architecture. SimSDP will be based on two existing tools: PREESM and SimGrid. PREESM accurately evaluates heterogeneous single node performance; SimGrid accurately simulates inter-node communications. Then, their association will allow for reliable simulations of large scale heterogeneous HPC systems.Visit the Project Website
Abstract:
The exascale radio telescope SKA will require supercomputers with high technical constraints. The Science Data Processor (SDP) pipeline in charge of producing the multidimensional images of the sky will have to execute in realtime a complex algorithm chain from data coming from telescopes at an incredible rate of several Tb/s and without any storage capabilities. The SDP will also have to be as green as possible with an energy budget of only 1 MWatt for 250 Petaflops. Such energy and computation requirements imply the SDP to be an innovative dataflow oriented and heterogeneous architecture. This supercomputer will be based on a standard HPC system combined with FPGA or application-specific architectures like GPU or the manycore Kalray MPPA. One crucial challenge is to assess the performance both in time and energy of new complex scientific dataflow algorithms on not-yet-existing complex computing infrastructure. In that goal, SimSDP is a rapid prototyping tool for SKA-like dataflow applications developed by the Dark-Era project. Through an original mixed approach based on execution and simulation, SimSDP purpose is to provide early analyses in terms of memory usage, latency, throughput, and energy consumption. Following an Algorithm Architecture Matching (AAM) approach, SimSDP will rely on a dataflow model of the algorithm and a model of the target architecture. SimSDP will be based on two existing tools: PREESM and SimGrid. PREESM accurately evaluates heterogeneous single node performance; SimGrid accurately simulates inter-node communications. Then, their association will allow for reliable simulations of large scale heterogeneous HPC systems.Visit the Project Website
