As quantum computing continues to develop, quantum-inspired algorithms are emerging as powerful tools that leverage quantum principles on classical hardware to solve complex optimization problems. Universities are uniquely positioned to support research in this area by enabling access to compute resources tailored to the specific demands of quantum-inspired techniques. This session explores the strategies, challenges, advantages and best practices in supporting quantum-inspired optimization workloads on a university compute cluster. We will discuss software frameworks (such as pyqubo, Matlab tools, D-Wave's Ocean tools and NEC's Vector Annealing software) and specialized hardware considerations. The session will also highlight case studies from active research projects.
Tmux (“terminal multiplexor”) is a Linux tool with two useful functions: 1) a user may run several terminal windows within a single Tmux session, and 2) the Tmux session can be run in the background. The latter functionality is particularly useful on remote computing systems (e.g., supercomputers) that require user access via ssh, because users may “reattach” to their Tmux session each time they login, minimizing loss of work between logins. This presentation will provide an overview, hands-on exercises, and a discussion of useful tools and best practices to streamline use of Tmux. To follow along with the hands-on exercises, register for a Research Computing account beforehand.
Quantum computers (QC) can significantly enhance high-performance computing (HPC) as accelerators with unique capabilities for solving challenging chemistry, materials science, and optimization problems. Hybrid HPC+QC system offers unique advantages that neither classical nor quantum simulations can achieve independently. Our collaboration between IQM, a leading quantum hardware company, and a premier HPC center has demonstrated practical integration of quantum and classical resources. We present the details of our technical implementation, including hardware and software requirements, networking, and selection of the appropriate space to house the quantum computer, as well as initial scientific results coming out of that collaboration. We also discuss how QC can be integrated with minimal disruption into HPC workflows and the benefits of on-prem QC.
The Front Range GigaPop (FRGP) is a longstanding network in Colorado that connects universities, government agencies, and schools to Internet2, peering exchanges, and the broader Internet through shared fiber-optic, routed and packet-switched infrastructure.
A recent NSF grant is funding the expansion of FRGP to the Western Slope, providing 10Gbps connections to Mesa State Metropolitan State University in Grand Junction (MSU), Western Colorado University in Gunnison (WSU), and the Rocky Mountain Biological Laboratory in Gothic (RMBL).
This presentation will highlight FRGP’s services and showcase its role in advancing cyberinfrastructure (CI) across the region.
In concert with the quantum computing-related workshop at this year's RMACC Symposium, this panel explores the current state of quantum-centric HPC from the perspective of prominent industry members of the ecosystem. We'll discuss the limitations inherent to classical approaches that might be overcome using quantum systems, domains and algorithms that are benefiting from today's quantum technology, where quantum advantage might be likely to emerge in the near future, and how HPC facilitators might support researchers integrating quantum computing into their workflows. Sustainability impacts inherent to quantum computing will also be considered.
David Allcock is Director of Science, North America atOxford Ionics where he leads the US-based teams with afocus on our Quantum Science & Engineering initiatives.Allcock received a PhD in Atomic & Laser Physics from theUniversity of Oxford, where he worked alongside OxfordIonics... Read More →
Wednesday May 21, 2025 11:15am - 12:15pm MDT Room 205
New to CU Research Computing, but don't know where to start? This RC Primer training is designed to give you an overview of Research Computing resources, procedures and best practices. You will learn how to log in, request allocations, store and transfer data, load software, run a job, and ask for help. In order to follow along with the hands-on component of this session, you’ll want to register for a Research Computing account beforehand.
AI workloads present new challenges for traditional HPC architectures, particularly as compute demands outpace I/O performance, power constraints tighten, and budgets remain stretched. The need for high-throughput, low-latency data access at extreme scale is forcing a re-evaluation of storage architectures to maximize efficiency without incurring unsustainable costs.
This session will explore how standard Linux and open storage technologies enable AI and HPC workloads to achieve parallel file system performance on commodity hardware—without requiring specialized infrastructure. Topics include: • Scaling AI Storage with Standard Linux: Leveraging NFSv4.2 advancements, including pNFS and FlexFiles, to enable parallel I/O at extreme scales. • Next-Generation SSD Integration: How embedding parallel file system capabilities into SSDs reduces data movement overhead while maximizing power efficiency. • Accelerating AI with Localized Storage on GPU/CPU Servers: Techniques to optimize checkpointing and ephemeral data storage, reducing I/O bottlenecks and overall infrastructure costs.
The session will feature real-world examples of how these innovations are being deployed today to drive high-performance AI workloads while addressing power and cost constraints.
CUDA-Q is an open-source quantum development platform orchestrating the hardware and software needed to run useful, large-scale quantum computing applications. The platform’s hybrid programming model allows computation on GPU, CPU, and QPU resources in tandem from within a single quantum program. CUDA-Q is “qubit-agnostic”—seamlessly integrating with all QPUs and qubit modalities and offering GPU-accelerated simulations when adequate quantum hardware is not available.
CUDA-Q extends simulation tools far beyond the NISQ-era—charting a course to large-scale, error-corrected quantum supercomputing.
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.
Are you still debugging your code with print statements and commenting out chunks of code? Would you like a more efficient way to observe and test your programs? Then you should consider incorporating Visual Studio Code’s (VS Code) built-in debugger! In this workshop we will cover how to use the VS Code debugger for testing a software program at run time. You will learn how to pause a running program at key locations in your code (breakpoints) and observe and/or update your project’s variables. To follow along with the hands-on component of this workshop, you will need to bring a personal laptop computer. You will also need to either have VS Code installed on your laptop computer or have a Research Computing account so that you can use VS Code through OnDemand. You can register for a Research Computing account beforehand (this will take about 10 minutes).
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.
CCMNet unites cyberinfrastructure professionals to enhance community support for research and academic institutions, maximizing cyberinfrastructure utilization for research advancement through peer mentoring engagements. This presentation will introduce the program, and feature a real time walkthrough of the web portal to help interested individuals dive straight in.
