Modern single-cell and single-nucleus RNA sequencing allow us to profile every cell within a brain tumor, uncovering the diverse lineages and cell signals that drive growth and therapy resistance. However, each experiment can produce terabytes of raw reads and millions of barcodes, demanding significant CPU, GPU, and memory resources – far beyond the limits of a laptop. This talk will show how high-performance computing (HPC) systems transform that data deluge into biological insight.
I will walk through an end-to-end analysis pipeline that pairs the Cell Ranger aligner with an nf-core workflow for efficient, reproducible processing on CPU and GPU nodes. Interactive exploration then transitions to Seurat, where large-memory nodes accelerate dimensionality reduction, clustering, and differential expression analysis and integration of hundreds of thousands of cells. HPC infrastructure also enables RNA velocity calculations, and trajectory analysis that would be impractical on local workstations.
Benchmarks will illustrate how parallel job arrays and optimized space management can cut runtimes from days to hours while lowering costs. My goal is to provide researchers and students with a clear roadmap for harnessing supercomputers to advance neuro-oncology and other data-intensive areas of life science.
Fuzzball transforms your on-premises or cloud environment into a user-friendly, manageable HPC cluster. In this talk, I’ll share exciting updates from the past year. Fuzzball is now generally available (GA) for on-prem installations and is also offered as a tech preview in the AWS Marketplace. This means you can try Fuzzball in your AWS account and deploy it directly on your on-prem cluster. We’ve also introduced Fuzzball Federate as a tech preview, enabling you to manage multiple Fuzzball clusters through a single console and unified user interface. Additionally, Fuzzball now includes a built-in workflow catalog, featuring CIQ-certified examples of popular applications in an easy-to-use format.
AI4WY is an NSF MRI-supported project seeking to build regional partnerships to transform the research landscape by acquiring a state-of-the-art high-performance computing (HPC) system. Led by the University of Wyoming in collaboration with Colorado State University and the Rocky Mountain Advanced Computing Consortium (RMACC), the AI4WY cluster will feature NVIDIA Grace Hopper Superchips for empowering AI-driven research and big data modeling across key domains such as environment, agriculture, society, and energy. In this presentation, we will provide an update on the system acquisition, expanding HPC access to RMACC through the NSF ACCESS program, and plans for fostering regional collaboration.
High-performance computing (HPC) research thrives on collaboration, yet institutional data silos often hinder progress. This extends beyond the storage hardware itself to where data is being siloed in departments and institutions alike. Accelerating scientific progress and innovation requires enabling secure data discovery and sharing across not only institutions, but scientific disciplines as well. Federated access models, controlled permissions, and distributed compute environments enable seamless yet secure collaboration. By facilitating data discovery across disciplines and optimizing shared infrastructure, organizations can break down barriers, enhance research efficiency, and drive cross-disciplinary insights that push the boundaries of scientific advancement.
The National Artificial Intelligence Research Resource (NAIRR) is a federal initiative aimed at providing researchers with greater access to advanced AI tools, datasets, and computing infrastructure. By connecting academic institutions, national labs, and government agencies, NAIRR is building a shared ecosystem to support AI-driven discovery across scientific disciplines. This talk will highlight the goals of the NAIRR pilot, outline its current offerings, and explore how institutions in the RMACC community can engage with and benefit from this growing national effort.
With the recent changes to the NIH Genomic Data Sharing Policy, more focus is being placed on compliance today. Organizations are looking for solutions to meet these new requirements. In this session we will discuss how Globus data management services allow users to confidently work with controlled-access data. We will cover all the product features that address managing controlled-access data to enable compliance with NIST SP 800-171. We will demonstrate how with High Assurance collections the service meets these new requirements.
This presentation explores key milestones in the Colorado quantum ecosystem’s growth, including the establishment of anchor institutions like JILA and NIST, the role of state and federal policy, and the rise of quantum-focused companies across sensing, computing, and communication. We also examine how Colorado’s collaborative culture, talent pipeline, and public-private partnerships have created a fertile ground for quantum innovation. Looking ahead, the presentation highlights the challenges and opportunities that will shape the next phase of Colorado’s quantum leadership.
This presentation provides a comprehensive overview of AMD's current and future technology roadmap, highlighting key innovations, product developments, and strategic direction across its CPU, GPU, and APU portfolios.
