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UID:submissions.supercomputing.org_SC24_sess809@linklings.com
SUMMARY:Best Undergraduate ACM SRC Presentations
DESCRIPTION:Mind Your Manners: Detoxifying Language Models via Attention H
 ead Intervention\n\nTransformer-based Large Language Models have advanced 
 natural language processing with their ability to generate fluent text. Ho
 wever, these models exhibit and amplify toxicity and bias learned from tra
 ining data, posing new ethical challenges. We build upon the \attnlens{} f
 ramework to allow for sc...\n\n\nJordan Pettyjohn (Colorado School of Mine
 s)\n---------------------\nMachine Learning Applications for Early-Stage O
 varian Cancer Diagnosis\n\nOvarian cancer (OC) significantly impacts women
 's health, and despite its prevalence, remains without a definitive cure. 
 Early detection is crucial for improving treatment outcomes and reducing m
 ortality rates and healthcare system costs. Leveraging advancements in mac
 hine learning, our study seeks ...\n\n\nDelina Mekonnen and Kazem Cheshmi 
 (McMaster University, Ontario, Canada)\n---------------------\nParalleliza
 tion of the Finite Element-Based Mesh Warping Algorithm Using Hybrid Paral
 lel Programming\n\nWarping large volume meshes is computationally expensiv
 e and has applications to biomechanics, aerodynamics, image processing, an
 d cardiology. Existing parallel implementations of mesh warping algorithms
  do not take advantage of shared-memory and one-sided communication featur
 es available in MPI-3. ...\n\n\nAbir Haque (University of Kansas)\n-------
 --------------\nComparing Cache Utilization Trends for Regional Scientific
  Caches with Transfer Learning Models\n\nTo enhance data sharing and reduc
 e access latency in scientific collaborations, high energy physics (LHC CM
 S experiment) employs regional in-network storage caches. Accurate predict
 ions of cache utilization trends help design new caching policies and impr
 ove capacity planning. This study leverages t...\n\n\nErica Wang (Californ
 ia Institute of Technology, Lawrence Berkeley National Laboratory (LBNL))\
 n---------------------\nIdentifying Regions of Non-Determinism in HPC Simu
 lations Through Event Graph Alignment\n\nHigh performance computing (HPC) 
 applications using MPI (Message Passing Interface) often face non-determin
 ism (ND) due to asynchronous MPI calls, making ND source identification ch
 allenging. Modeling execution as an event graph, where MPI calls are nodes
  and communication is edges, can be useful. F...\n\n\nDhroov Pandey (Unive
 rsity of North Texas)\n\nRegistration Category: Tech Program Reg Pass\n\nS
 ession Chair: Gerhard Wellein (Erlangen National High Performance Computin
 g Center; Friedrich-Alexander University, Erlangen-Nuremberg)
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