Audience: Faculty
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Imlau Dagostini, J. (CSE) – Intent-Driven Orchestration for Scientific Computing
The growing complexity of high-performance computing (HPC) systems poses a fundamental challenge for domain scientists, whose primary objective is to obtain scientifically valid results rather than to optimize resource utilization. Modern leadership-class facilities combine heterogeneous CPUs, GPUs, and specialized accelerators across systems that simultaneously support traditional scientific simulations and AI-driven workloads. This creates a vast,…
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Chen, Z. (CSE) – GPU Subgroup Semantics for Portable High-Performance Kernels
Modern high-performance GPU kernels increasingly rely on subgroup-level execution, including subgroup-level communication, subgroup operations, and matrix operations. These features are essential for workloads such as matrix multiplication and FlashAttention, but their language-level guarantees remain difficult to reason about. Existing programming models often leave unclear which threads participate in subgroup operations, when subgroup threads are required…
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UC Santa Cruz Premed Cohorts and DIY Info Session
Join the UC Santa Cruz Premed Postbacc Program for an informative, live online session designed for students, parents, and anyone exploring pathways into medicine, public health, and other health professions. In this discussion, we’ll provide a comprehensive overview of premed and pre-health programs to help you understand your options and choose the path that best aligns with…
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Precarious Accumulation: Fast Fashion Bosses in Transnational Guangzhou
Please join us on June 3rd for the final Anthropology Colloquium of 25-26, “Precarious Accumulation: Fast Fashion Bosses in Transnational Guangzhou,” featuring Nellie Chu of Duke Kunshan University (UCSC PhD ’14).
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Shen, G. (CSE) – Library-Level Choreographic Programming
Modern software increasingly relies on distributed systems to provide accessible, scalable, and reliable services. Choreographic programming brings a global perspective to distributed system development: programmers write a single program that describes the behavior of a whole system, and a compiler projects that global description into local programs run by each node. By making distributed control…
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Lietz, R. (CM) – Reflecting on Failure: Designing and Evaluating Archetype Profiles as a Tool for Self-Reflection
Self-reflection holds significant potential for learning, behavior change, and emotional processing, yet designing technologies that effectively support it remains challenging, particularly when reflection involves difficult experiences such as failure. Most current technologies avoid negative experiences altogether, leaving users without support at precisely the moments when reflection could be most valuable. This dissertation investigates how technology…
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AI Trends in Project Management
Build the skills organizations need most Skilled project and program managers remain in demand across many industries as organizations seek professionals who can plan strategically, manage risks, and deliver results on time and on budget. Learn what drives successful teams and projects During this interactive online session, you’ll learn about key roles in project and…
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Xie, Y. (CM) – Crop Circles of Play: Forces and Formation in the Dyadic Magic Circle
Cooperative two-player play produces distinctive social experiences between players: intimacy, trust, cooperation, communitas. Since Huizinga, the frame within which these experiences arise has been called the Magic Circle: a temporarily-set-apart space through which play does its social work. It has been a central organizing concept across game studies, performance theory, and HCI because it points…
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Ortiz Barbosa, D. (CSE) – HARDENING AUTONOMOUS CYBER-PHYSICAL SYSTEMS AGAINST ADVERSARIAL CONDITIONS
Autonomous systems, such as Autonomous Vehicles (AVs) and drones, are increasingly deployed across a wider array of contexts for both civilian and military use. As these systems become more common, they may be targeted by malicious actors seeking to exploit and abuse them, compromising safety-critical operations. Among the ways to protect these systems simulation based…
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Carrión, H. (CSE) – Deep Learning Algorithms for Medical Image Representation Learning and Understanding
AI-assisted clinical decisions in medicine, and particularly in dermatology, demand fine-grained understanding across diverse skin tones, body sites, and disease types, yet expert-annotated datasets are scarce, demographically imbalanced, and almost devoid of rare presentations. This dissertation develops four deep learning systems for this low-label, low-coverage regime. We introduce HealNet, which learns wound healing stages from…