Workshop proceedings: Information Systems for Space Astrophysics in the 21st Century, volume 1

The Astrophysical Information Systems Workshop was one of the three Integrated Technology Planning workshops. Its objectives were to develop an understanding of future mission requirements for information systems, the potential role of technology in meeting these requirements, and the areas in which NASA investment might have the greatest impact. Workshop participants were briefed on the astrophysical mission set with an emphasis on those missions that drive information systems technology, the existing NASA space-science operations infrastructure, and the ongoing and planned NASA information systems technology programs. Program plans and recommendations were prepared in five technical areas: Mission Planning and Operations; Space-Borne Data Processing; Space-to-Earth Communications; Science Data Systems; and Data Analysis, Integration, and Visualization

Using high-performance networks to enable computational aerosciences applications

One component of the U.S. Federal High Performance Computing and Communications Program (HPCCP) is the establishment of a gigabit network to provide a communications infrastructure for researchers across the nation. This gigabit network will provide new services and capabilities, in addition to increased bandwidth, to enable future applications. An understanding of these applications is necessary to guide the development of the gigabit network and other high-performance networks of the future. In this paper we focus on computational aerosciences applications run remotely using the Numerical Aerodynamic Simulation (NAS) facility located at NASA Ames Research Center. We characterize these applications in terms of network-related parameters and relate user experiences that reveal limitations imposed by the current wide-area networking infrastructure. Then we investigate how the development of a nationwide gigabit network would enable users of the NAS facility to work in new, more productive ways

The role of graphics super-workstations in a supercomputing environment

A new class of very powerful workstations has recently become available which integrate near supercomputer computational performance with very powerful and high quality graphics capability. These graphics super-workstations are expected to play an increasingly important role in providing an enhanced environment for supercomputer users. Their potential uses include: off-loading the supercomputer (by serving as stand-alone processors, by post-processing of the output of supercomputer calculations, and by distributed or shared processing), scientific visualization (understanding of results, communication of results), and by real time interaction with the supercomputer (to steer an iterative computation, to abort a bad run, or to explore and develop new algorithms)

Great Plains Network - Kansas State University Agronomy Application Deep Dive

In May 2019, staff members from the Engagement and Performance Operations Center (EPOC) and members of the Great Plains Network (GPN) attending their Annual Meeting meeting met with researchers at Kansas State University (KSU) for the purpose of an Application Deep Dive training session. The goal of this training session was to help characterize the requirements for an agronomy application, to enable cyberinfrastructure support staff to better understand the needs of the researchers they support, and to offer training to GPN members to be able to conduct these on their own. Material for this event includes both the written documentation from the agronomy application at KSU, details about the infrastructure setup at KSU, and also a writeup of the discussion that took place in person on May 20, 2019. EPOC, GPN, and KSU recorded a set of action items for this use case, continuing the ongoing support and collaboration. These are a reflection of the case study report, and in person discussion

Supercomputer networking for space science applications

The initial design of a supercomputer network topology including the design of the communications nodes along with the communications interface hardware and software is covered. Several space science applications that are proposed experiments by GSFC and JPL for a supercomputer network using the NASA ACTS satellite are also reported

MPICH-G2: A Grid-Enabled Implementation of the Message Passing Interface

Application development for distributed computing "Grids" can benefit from tools that variously hide or enable application-level management of critical aspects of the heterogeneous environment. As part of an investigation of these issues, we have developed MPICH-G2, a Grid-enabled implementation of the Message Passing Interface (MPI) that allows a user to run MPI programs across multiple computers, at the same or different sites, using the same commands that would be used on a parallel computer. This library extends the Argonne MPICH implementation of MPI to use services provided by the Globus Toolkit for authentication, authorization, resource allocation, executable staging, and I/O, as well as for process creation, monitoring, and control. Various performance-critical operations, including startup and collective operations, are configured to exploit network topology information. The library also exploits MPI constructs for performance management; for example, the MPI communicator construct is used for application-level discovery of, and adaptation to, both network topology and network quality-of-service mechanisms. We describe the MPICH-G2 design and implementation, present performance results, and review application experiences, including record-setting distributed simulations.Comment: 20 pages, 8 figure

Maine EPSCoR End-to-End Connectivity for Sustainability Science Collaboration

Project DescriptionThis RII C2 proposal from Maine (ME) EPSCoR is focused on addressing last-mile bottlenecks at seven campuses of the University of Maine System. Maine\u27s Research and Education Network, MaineREN, delivers high performance inter-campus fiber connectivity to public and private institutions across the state, but the intra-campus networking has lacked the same investment by the state.The proposed improvements include:- Rewiring eight buildings at the University of Maine Orono Campus (UMaine) with Cat-6 cable, increasing end-to-end performance to 10 Gbps.- Upgrading the fiber backbone between the two University of Southern Maine (USM) campuses, one in Portland and one in Gorham, 12 miles apart. In addition, upgrades will be done for the buildings housing the ME RII Track-1 researchers, including the Law Building, Library, Bailey Hall, and the buildings that make up the fiber core for the Portland campus. - Upgrades to edge routers to connect to the MaineREN backbone for UMaine Augusta (UMA), UMaine Farmington (UMF), UMaine Fort Kent (UMFK), UMaine Machias (UMM), and UMaine Presque Isle (UMPI). Intellectual MeritThe proposed upgrades in network connections will greatly improve the networking capacity available to the University of Maine system and enable researchers to take advantage of state-wide upgrades with improved end-to-end performance. The proposed RII C2 connectivity improvements will support the Maine RII Track-1 Sustainability Science Initiative (SSI) by increasing bandwidth availability for the SSI data management and visualization approaches. SSI is advancing the emerging field of sustainability science in three integrative ways: 1) examining interactions between social and ecological systems (SES) as landscapes change in response to urbanization, forest management, and climate variability; 2) investigating how much SES knowledge affects, and is influenced by, the actions and decision of stakeholders, with a goal of strengthening connections between knowledge and actions; 3) evaluating the factors that facilitate and impede interdisciplinary collaboration, with a goal of identifying and implementing individual and institutional best practices that are needed to support successful interdisciplinary research programs in sustainability science.Broader ImpactsBy filling in relatively small gaps in the infrastructure, Maine will be able to make very large gains in the effectiveness of the state\u27s cyberinfrastructure (CI) that will allow researchers to fully utilize investments to improve research effectiveness, promote collaboration, improve K-12 interaction, and develop the future workforce of the state. The networking upgrades will support the 300 researchers, students, and stakeholders that are part of the SSI collaboration over 17 different disciplinary fields. The SSI activities have the potential to increase Maine\u27s research capacity and competitiveness and grow Maine\u27s green innovation economy. The proposed project will leverage the RII Track-1 programs for broader impacts

Maine EPSCoR End-to-End Connectivity for Sustainability Science Collaboration

This NSF EPSCoR C2 project allowed Maine EPSCoR to continue the state’s momentum to enhance the connectivity of the state’s research, higher education, and K-12 institutions through Maine’s Research and Education Network (MaineREN). Over the last few years, multi-million dollar investments have built networking and computing power at the state level, including: 1) the installation of 1,100 miles of middle-mile fiber optic cable; 2) investments in shared computing resources for high performance computing and cloud computing; 3) the Maine School and Library Network; 4) the Maine Learning Technology Initiative (grade 6-12 laptops); and 5) investments in high-performance visualization and videoconferencing. This C2 project allowed Maine EPSCoR to address the cyberinfrastructure gaps at the seven campuses of the University of Maine System that had still been preventing the delivery of true end-to-end connectivity between Maine’s researchers and the new advanced networking services provided over MaineREN. The research and education focus that was enabled by this C2 project is the Maine EPSCoR Sustainability Science Initiative (SSI) Rll Track 1, with the goal of providing SSI researchers and students at the seven campuses of the University of Maine System true end-to-end connectivity. Cyberinfrastructure is an important key to helping SSI to advance their sustainability science objectives to: 1) examine interactions between social and ecological systems (SES) as landscapes change in response to urbanization, forest management, and climate variability; 2) investigate how such SES knowledge affects, and is influenced by, the actions and decisions of diverse stakeholders, with a goal of strengthening connections between knowledge and action; 3) evaluate the factors that facilitate and impede interdisciplinary collaboration, with a goal of identifying and implementing individual and institutional best practices that are needed to support successful interdisciplinary research programs in sustainability science. In particular, the C2 connectivity improvements that are now in place will support the Track 1 SSI research agenda by addressing various data management, visualization, and virtual proximity challenges that were present. Except for a small amount of support towards the AAAS review, all of the C2 budget was allocated for the capital cyberinfrastructure improvements, with the goal of enabling the effectiveness of the research and education activities of the SSI Track 1 project. This then means that there is a high degree of leveraging and synergy between the two projects, and that the personnel participation, research, diversity, and workforce development activities were supported from a variety of other sources including SSI Track 1, state funds, university funds, and UMaine System funds (and therefore are not a direct part of this award). While somewhat confusing for reporting purposes, this high degree of leveraging resulted in a tightly integrated and effective manner of furthering Maine’s research and education capacity in Sustainability Science. The implementation and administration of all three NSF EPSCoR projects (Track 1, 2, C2) has been through the Maine EPSCoR office at the University of Maine, which allowed for effective coordination and leveraging of resources and investments for the maximum benefit to Maine researchers

A Comprehensive Workflow for General-Purpose Neural Modeling with Highly Configurable Neuromorphic Hardware Systems

In this paper we present a methodological framework that meets novel requirements emerging from upcoming types of accelerated and highly configurable neuromorphic hardware systems. We describe in detail a device with 45 million programmable and dynamic synapses that is currently under development, and we sketch the conceptual challenges that arise from taking this platform into operation. More specifically, we aim at the establishment of this neuromorphic system as a flexible and neuroscientifically valuable modeling tool that can be used by non-hardware-experts. We consider various functional aspects to be crucial for this purpose, and we introduce a consistent workflow with detailed descriptions of all involved modules that implement the suggested steps: The integration of the hardware interface into the simulator-independent model description language PyNN; a fully automated translation between the PyNN domain and appropriate hardware configurations; an executable specification of the future neuromorphic system that can be seamlessly integrated into this biology-to-hardware mapping process as a test bench for all software layers and possible hardware design modifications; an evaluation scheme that deploys models from a dedicated benchmark library, compares the results generated by virtual or prototype hardware devices with reference software simulations and analyzes the differences. The integration of these components into one hardware-software workflow provides an ecosystem for ongoing preparative studies that support the hardware design process and represents the basis for the maturity of the model-to-hardware mapping software. The functionality and flexibility of the latter is proven with a variety of experimental results