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High Performance Computing (HPC) has developed at an unprecedented pace in recent decades. This growth has demanded corresponding development in the area of HPC Operational Data Analytics (ODA), which encompasses a wide range of data analysis techniques,...

There is considerable debate around modes of professionalization for the research computing and data (RCD) community. In 2018, credentialing was recommended around three roles (systems facing, software facing, and researcher facing). Reviewing the ...

The US Department of Energy (DOE) oversees a system of 17 national laboratories responsible for developing unique scientific capabilities beyond the scope of academic and industrial institutions. These labs strive to keep America at the forefront of ...

The workforce for research computing, cyberinfrastructure, and data analytics is a complex global ecosystem comprised of workers across academia, national laboratories, and industry. To explore the underlying factors that affect the growth and vitality ...

The Connect.Cyberinfrastructure.org Portal, originally known as the Cyberteam Portal, was developed to support the management of project workflows and to capture project results for the Northeast Cyberteam (NECT) [3,5,6]. Recently, the Portal has ...

Asynchronous many-task runtime systems and MPI+X hybrid parallelism approaches have shown promise for helping manage the increasing complexity of nodes in current and emerging high performance computing (HPC) systems, including those for exascale. The ...

The SLATE (Services Layer at the Edge) accelerates collaborative scientific computing through a secure container orchestration framework focused on the Science DMZ, enabling creation of advanced multi-institution platforms and novel science gateways. The ...

The widespread application and success of computational and data intensive research approaches in every discipline represented on our campuses has resulted in a rapid proliferation of organizations, technologies, and professions affiliated in different ...

Research Computing and Data is changing at an accelerating rate, while the range of fields and disciplines depending on the cyberinfrastructure is expanding and becoming increasingly diverse. This poses significant challenges to academic institutions as ...

In a high-performance computing (HPC) environment, shared resources are often the most capricious and unreliable. The performance of each process is affected by the behavior of all connected users. This applies particularly to the login nodes of HPC ...

Modern software development workflow patterns often involve the use of a developer's local machine as the first platform for testing code. SLATE mimics this paradigm with an implementation of a light-weight version, called MiniSLATE[? ], that runs ...

The SLATE (Services Layer at the Edge) platform supports collaborative, multi-institution scientific computing through federation of containerized edge services. This paper considers issues of trust between resource providers and developers of ...

Advances in the volume, diversity, and complexity of research data and associated workflows requires enhanced capabilities to access, secure, reuse, process, analyze, understand, curate, share, and preserve data. To address this need at the regional ...

In recent years, considerable attention has been given to assessing the value of investments in cyberinfrastructure (CI). This paper includes a survey of current methods for the assessment of financial returns on investment (ROI) in CI. Applying the ...

ACI organizations are often called upon to provide data on the use of ACI resources, and on the effectiveness and impact of ACI Facilitation in order to evaluate the services and to demonstrate the value provided to the research community and ...

We describe progress on building the SLATE (Services Layer at the Edge) platform. The high level goal of SLATE is to facilitate creation of multi-institutional science computing systems by augmenting the canonical Science DMZ pattern with a generic, "...

This paper presents an open source implementation of a volume visualizer capable of rendering large scale simulated and tomographic volume datasets on everyday commodity hardware. The ability to visualize this data enables a wide range of analysis in ...

The University of Utah's Carbon Capture Multidisciplinary Simulation Center (CCMSC) is using the Uintah Computational Framework to predict performance of a 1000 MWe ultra-supercritical clean coal boiler. The center aims to utilize the Intel Xeon Phi-...

Parallel code portability in the petascale era requires modifying existing codes to support new architectures with large core counts and SIMD vector units. OpenMP is a well established and increasingly supported vehicle for portable parallelization. As ...