In this presentation, I will describe our group’s efforts in leveraging high-performance computing (HPC), particularly the RMACC cluster, to tackle computationally intensive optimization problems in quantum computing. In our first case study, we address a quantum optimal control problem that requires fine-tuning numerous pulse parameters to optimize the performance of a quantum gate on a superconducting quantum computer. This optimization is carried out through large-scale parallel executions of a stochastic gradient descent (SGD) algorithm with multiple random seeds on RMACC. In the second case, we apply RMACC to solve a maximum likelihood estimation (MLE) problem for learning structured quantum states from synthetic measurement data. Our approach involves generating a vast number of measurement samples in parallel using a novel autoregressive method and subsequently performing MLE via SGD. In both applications, our approach yields near-optimal results that align with theoretical upper bounds, demonstrating that RMACC could provide an efficient, cost-effective HPC solution for state-of-the art quantum research in local institutions.
In this session we lead a discussion on facilitation for RCD professionals. The discussion will be free flowing, but includes subjects like; how the teams are organized, what are the responsibilities, how small teams handle all the responsibilities, professional development and career advancement, useful tools, and successes and failures
This presentation explores AWS latest developments in AI infrastructure and tools designed specifically for research communities. We'll examine the transformation of SageMaker Studio, the introduction of the Build on Trainium program, and the strategic positioning of Amazon Bedrock alongside SageMaker AI. This session will highlight how these integrated solutions address the evolving needs of researchers, from individual projects to large-scale collaborative efforts. Live demonstrations of SageMaker Studio and Bedrock API integration will showcase the practical application of these tools in research environments.
Perhaps management is in your future. Or you have recently been cast in that role and you would appreciate some suggestions. Attend this session to collect some useful references, and discuss the importance of our role and maximizing the impact of our teams
In the presentation, we would share info on topics such as metrics, our user survey, and some other approaches. As part of the talk, we would like to engender a discussion and exchange of info about what other sites do to measure the effectiveness of their HPC environments.
Field-Programmable Gate Arrays (FPGAs) are gaining traction in research for their ability to deliver high-performance, energy-efficient computing across a range of domains—from machine learning and data analytics to signal processing and scientific simulations. However, integrating FPGA workflows into a shared university compute cluster presents unique challenges in terms of hardware management, toolchain support and user access. This session will explore the practical aspects of supporting FPGA applications in a multi-user academic environment. We will cover available FPGA platforms, commonly used development workflows (such as Xilinx Vivado and Vitis, Intel Quartus and OpenCL, and HLS), and the architectural and administrative considerations for cluster integration. Real-world use cases will illustrate how researchers and academics are leveraging FPGAs, and we’ll share lessons learned in enabling productive FPGA development. Attendees will gain insight into both the technical setup and the support models that foster a thriving FPGA user community on campus.
Join RMACC leadership to discuss upcoming grant possibilities. Hear about what others are working on, pitch your ideas to other members of RMACC and network to form connections/collaborations.
Fostering a positive work environment is crucial for both employee satisfaction and organizational success. This presentation will focus on two key pillars: building trust and fostering belonging. We will explore how trust serves as the foundation for effective communication, collaboration, and performance, while a sense of belonging ensures that employees feel valued and connected to the organization. Attendees will gain practical insights and actionable strategies for cultivating trust through transparency, consistency, and empathy, as well as creating an inclusive culture where every individual feels respected and integral to the team’s success.
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.
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.
