Tyler J. Skluzacek

Tyler J. Skluzacek
Oak Ridge National Laboratory | ORNL · Oak Ridge Leadership Computing Facility

Master of Science

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16
Publications
2,936
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156
Citations
Introduction

Publications

Publications (16)
Preprint
funcX is a distributed function as a service (FaaS) platform that enables flexible, scalable, and high performance remote function execution. Unlike centralized FaaS systems, funcX decouples the cloud-hosted management functionality from the edge-hosted execution functionality. funcX's endpoint software can be deployed, by users or administrators,...
Conference Paper
Full-text available
The increasing volume and variety of science data has led to the creation of metadata extraction systems that automatically derive and synthesize relevant information from files. A critical component of metadata extraction systems is a mechanism for mapping extractors-lightweight tools to mine information from a particular file types-to each file i...
Conference Paper
Full-text available
We introduce Xtract, an automated and scalable system for bulk metadata extraction from large, distributed research data repositories. Xtract orchestrates the application of metadata extractors to groups of files, determining which extractors to apply to each file and, for each extractor and file, where to execute. A hybrid computing model, built o...
Article
Machine Learning (ML) has become a critical tool enabling new methods of analysis and driving deeper understanding of phenomena across scientific disciplines. There is a growing need for “learning systems” to support various phases in the ML lifecycle. While others have focused on supporting model development, training, and inference, few have focu...
Preprint
Full-text available
Exploding data volumes and velocities, new computational methods and platforms, and ubiquitous connectivity demand new approaches to computation in the sciences. These new approaches must enable computation to be mobile, so that, for example, it can occur near data, be triggered by events (e.g., arrival of new data), be offloaded to specialized acc...
Article
Full-text available
We explore how the function as a service paradigm can be used to address the computing challenges in experimental high-energy physics at CERN. As a case study, we use funcX—a high-performance function as a service platform that enables intuitive, flexible, efficient, and scalable remote function execution on existing infrastructure—to parallelize a...
Conference Paper
Full-text available
The use and reuse of scientific data is ultimately dependent on the ability to understand what those data represent, how they were captured, and how they can be used. In many ways, data are only as useful as the metadata available to describe them. Unfortunately, due to growing data volumes, large and distributed collaborations, and a desire to sto...
Conference Paper
Full-text available
The rapid generation of data from distributed IoT devices, scientific instruments, and compute clusters presents unique data management challenges. The influx of large, heterogeneous, and complex data causes repositories to become siloed or generally unsearchable---both problems not currently well-addressed by distributed file systems. In this work...
Preprint
Full-text available
Growing data volumes and velocities are driving exciting new methods across the sciences in which data analytics and machine learning are increasingly intertwined with research. These new methods require new approaches for scientific computing in which computation is mobile, so that, for example, it can occur near data, be triggered by events (e.g....
Conference Paper
The emergence of IoT devices is revolutionizing various aspects of human life, including healthcare, where the use of such devices can potentially improve health outcomes for millions. However, the efficacy of treatments and protocols based on IoT devices is measured through the use of rigorous double-blind studies, which can be quite expensive to...
Conference Paper
Full-text available
Scientists' capacity to make use of existing data is predicated on their ability to find and understand those data. While significant progress has been made with respect to data publication, and indeed one can point to a number of well organized and highly utilized data repositories, there remain many such repositories in which archived data are po...

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