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SUMMARY:Volunteer at the UCSC Arboretum
DESCRIPTION:Volunteer Information Sessions at the Arboretum \nDo you love gardens and gardening? The UCSC Arboretum & Botanic Garden has a wonderful community of staff\, students\, and volunteers\, ready to welcome you. Opportunities include staffing our gift shop & retail nursery and working to care for our gardens and greenhouses.  \nTo learn more\, join us at one of our monthly information sessions. They go for about 45 minutes and include an easy walk through the gardens.  \nTo attend\, please fill out our simple volunteer interest form at the bottom of our volunteer webpage found here: https://arboretum.ucsc.edu/get-involved/become-a-volunteer/ \nIf you need a different day and/or have mobility issues please let us know in the “Notes” section of the Interest Form. \nThank You!
URL:https://live-events-ucsc.pantheonsite.io/event/volunteer-at-the-ucsc-arboretum/2026-06-09/
LOCATION:Arboretum\, 122 Arboretum Road\, Santa Cruz\, CA\, 95064
CATEGORIES:Volunteer
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SUMMARY:Shen\, G. (CSE) - Library-Level Choreographic Programming
DESCRIPTION:Modern software increasingly relies on distributed systems to provide accessible\, scalable\,\nand reliable services. Choreographic programming brings a global perspective to distributed\nsystem development: programmers write a single program that describes the behavior of a\nwhole system\, and a compiler projects that global description into local programs run by each\nnode. By making distributed control flow explicit\, choreographic programming can rule out\nimportant classes of errors\, including deadlocks. This dissertation investigates library-level\nchoreographic programming\, an approach that embeds choreographic abstractions in existing\nhost languages rather than implementing them as standalone languages. The central claim\nis that the library approach can retain the safety and global reasoning principles of chore-\nographic programming while taking advantage of the host language’s features\, tools\, and\necosystem. First\, we present HasChor\, a first-of-its-kind library-level choreographic program-\nming language in Haskell\, built using freer monads. Next\, we generalize the design underlying\nHasChor to algebraic effects\, giving library-level implementations in Agda and OCaml. Fi-\nnally\, we present Parkour\, a backward-compatible extension to HasChor that adds a construct\nfor expressing parallel behavior in choreographies. Together\, these systems show that chore-\nographic programming can be implemented\, generalized\, and extended at the library level\,\nmaking global programming techniques available within practical host-language settings. \nEvent Host: Gan Shen\, Ph.D. Candidate\, Computer Science & Engineering  \nAdvisor: Lindsey Kuper  \nZoom: https://ucsc.zoom.us/j/93790633483?pwd=Jg8JlISsrwjLBaQIi1KdHk36bNMIv7.1 \nPasscode: 902041 \n 
URL:https://live-events-ucsc.pantheonsite.io/event/shen-g-cse-library-level-choreographic-programming/
LOCATION:Engineering 2\, Engineering 2 1156 High Street\, Santa Cruz\, CA\, 95064
CATEGORIES:Ph.D. Presentations
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DTSTART;TZID=America/Los_Angeles:20260609T120000
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SUMMARY:Narcan Training for Faculty and Staff
DESCRIPTION:Register for the Zoom link. \nNarcan is a life-saving opioid overdose reversal drug. Join us in this workshop as we learn the following: \n\nHow to use Narcan\nWhen to use Narcan\nNarcan FAQs\nWhere to find Narcan locally\n\nRegister for the Zoom link. To learn more\, please visit the Narcan wellness initiative webpage. For trainings\, please visit the Occupational Health Training website. \nFor questions or to schedule a training for your team\, please contact Occupational Health Specialist\, Elizabeth Tomlinson\, at ektomlin@ucsc.edu.
URL:https://live-events-ucsc.pantheonsite.io/event/narcan-training-for-faculty-and-staff-2-2/
LOCATION:CA
CATEGORIES:Training
ORGANIZER;CN="Risk Services and Occupational Health":MAILTO:ektomlin@ucsc.edu
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SUMMARY:Kim\, C. (CSE)- Toward Adaptive Graph Processing and Fault-Tolerant Agentic Inference on Heterogeneous Distributed Systems
DESCRIPTION:Edge computing and distributed AI systems increasingly operate under heterogeneous resources\, dynamic workloads\, and frequent failures\, requiring both adaptivity and fault tolerance for efficient execution. In heterogeneous edge clusters\, nodes differ significantly in CPU throughput\, memory capacity\, and network bandwidth\, while modern distributed GPU clusters supporting agentic LLM inference must recover large amounts of runtime state under routine failures. This dissertation addresses these challenges through two systems: Zsiga\, an adaptive distributed graph processing system for heterogeneous edge clusters\, and Forte\, a fault-tolerant KV cache recovery system for distributed agentic LLM inference. \nZsiga improves connected component computation through capacity-aware graph partitioning and runtime-adaptive boundary migration\, reducing execution time by up to 90.9% while eliminating out-of-memory failures under heterogeneous resource constraints. Forte addresses KV cache recovery for long-running agentic inference workloads\, where failures can erase accumulated reasoning trajectories and tool interaction histories. Forte exploits the observation that not all KV blocks are equally critical\, introducing criticality-aware erasure coding\, domain-diverse placement\, and prioritized foreground recovery to enable efficient recovery under correlated failures. Experimental results show that Forte is the only evaluated scheme that successfully resumes execution under correlated domain failures\, reducing foreground stall by 89.7% and end-to-end recovery latency by 50.6–58.9% at 2.0$\times$ memory overhead. Together\, these systems demonstrate how adaptivity and fault tolerance can improve the efficiency and resilience of distributed systems in heterogeneous and failure-prone environments. \nEvent Host: Chaeeun Kim\, Ph.D. Student\, Computer Science & Engineering \nAdvisor: Chen Qian & Liting Hu \nZoom: https://ucsc.zoom.us/j/9863615188?pwd=kTka0aZXJ070tor1EKvrt3X6AveBRp.1 \nPasscode:  cG5SL8 \n  \n 
URL:https://live-events-ucsc.pantheonsite.io/event/kim-c-cse-toward-adaptive-graph-processing-and-fault-tolerant-agentic-inference-on-heterogeneous-distributed-systems/
LOCATION:Engineering 2\, Engineering 2 1156 High Street\, Santa Cruz\, CA\, 95064
CATEGORIES:Ph.D. Presentations
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