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UID:submissions.supercomputing.org_SC23_sess290@linklings.com
SUMMARY:Doctoral Showcase Posters Display
DESCRIPTION:Doctoral Showcase, Posters\n\nModernizing Simulation Software 
 for the Exascale Era\n\nModern HPC hardware is becoming increasingly heter
 ogeneous and diverse in the exascale era. The diversity of hardware and so
 ftware stacks adds additional development challenges to high performance s
 imulations. One common development approach is to re-engineer the code for
  each new target architectur...\n\n\nNigel P. Tan (University of Tennessee
 )\n---------------------\nHigh Performance Serverless for HPC and Clouds\n
 \nFunction-as-a-Service (FaaS) computing brought a fundamental shift in re
 source management. It allowed for new and better solutions to the problem 
 of low resource utilization, an issue that has been known in data centers 
 for decades. The problem persists as the frequently changing resource avai
 labili...\n\n\nMarcin Copik (ETH Zürich)\n---------------------\nI/O Effic
 ient Machine Learning\n\nMy research focuses on systems optimizations for 
 machine learning, specifically on I/O efficient model storage and retrieva
 l.\n\nThe first part of my work focuses on efficient inference serving of 
 tree ensemble models. Tree structures are inherently not cache friendly an
 d their traversal incurs random...\n\n\nMeghana Madhyastha (Johns Hopkins 
 University, Argonne National Laboratory (ANL))\n---------------------\nOve
 rcoming the Gap between Compute and Memory Bandwidth in Modern GPUs\n\nThe
  imbalance between compute and memory bandwidth has been a long-standing i
 ssue. Despite efforts to address it, the gap between them is still widenin
 g. This has led to the categorization of many applications as memory-bound
  kernels.	\n\nThis dissertation centers on memory-bound kernels, with a pa
 rti...\n\n\nLingqi Zhang (Tokyo Institute of Technology)\n----------------
 -----\nPreemptive Intrusion Detection:  Real-World Measurements, Bayesian-
 Based Detection, and AI-Driven Countermeasures\n\nThe problem of preemptin
 g attacks before damages remains the top security priority. The gap betwee
 n alerts and early detection remains wide open because noisy attack attemp
 ts and unreliable alerts mask real attacks from humans. This dissertation 
 brings together: 1) attack patterns mining driven by r...\n\n\nPhuong Cao 
 (University of Illinois)\n---------------------\nHigh Performance Computin
 g for Optimization of Radiation Therapy Treatment Plans\n\nModern radiatio
 n therapy relies heavily on computational methods to design optimal treatm
 ent plans (control parameters for the treatment machine) for individual pa
 tients. These parameters are determined by constructing and solving a math
 ematical optimization problem. Ultimately, the goal is to creat...\n\n\nFe
 lix Liu (KTH Royal Institute of Technology, Sweden; Raysearch Laboratories
 )\n---------------------\nEnabling Reproducibility and Scalability of Scie
 ntific Workflows in HPC and Cloud\n\nScientific communities across fields 
 like earth science, biology, and materials science increasingly run comple
 x workflows for their scientific discovery. We work closely with these com
 munities to leverage high-performance computing (HPC), big data analytics,
  and artificial intelligence/machine lear...\n\n\nPaula Olaya (University 
 of Tennessee)\n---------------------\nScaling HPC Applications through Pre
 dictable and Reliable Data Reduction Methods\n\nFor scientists and enginee
 rs, large-scale computer systems are one of the most powerful tools to sol
 ve complex high-performance computing (HPC) and Deep Learning (DL) problem
 s. With the ever-increasing computing power such as the new generation of 
 exascale (one exaflop or a billion billion calculati...\n\n\nSian Jin (Ind
 iana University, Argonne National Laboratory (ANL))\n---------------------
 \nInteractive In-Situ Visualization of Large Distributed Volume Data\n\nLa
 rge distributed volume data are routinely produced in numerical simulation
 s and experiments. In-situ visualization, the visualization of simulation 
 or experiment data as it is generated, enables simulation steering and exp
 eriment control, which helps scientists gain an intuitive understanding of
  t...\n\n\nAryaman Gupta (Technical University Dresden, Center for Systems
  Biology Dresden (CSBD))\n---------------------\nCorralling the Computing 
 Continuum:  Mobilizing Modern Distributed Resources for Machine Learning a
 nd Accessible Computing\n\nTo achieve the resource agnostic flexibility of
  compute described by the computing continuum, we combined our work in wor
 kload profiling and cost estimation with task provisioning to present DELT
 A–a framework for serverless workload placement across a computing ecosyst
 em. To address the dynami...\n\n\nMatt Baughman (University of Chicago)\n-
 --------------------\nCharged Particle Track Reconstruction Algorithms for
  Massively Parallel Systems\n\nThe reconstruction of the trajectories of c
 harged particles through detector experiments is a core computational task
  in the domain of high-energy physics. Upcoming upgrades to accelerators s
 uch as the Large Hadron Collider as well as to experiments like ATLAS thre
 aten to render existing CPU-based a...\n\n\nStephen Nicholas Swatman (Univ
 ersity of Amsterdam, European Organization for Nuclear Research (CERN))\n-
 --------------------\nDesign Automation Tools and Software for Quantum Com
 puting\n\nQuantum computing promises to solve problems beyond the reach of
  today’s machines, but it requires efficient and reliable software tools t
 o realize its potential. This poster gives an overview of various contribu
 tions towards design automation methods and software for quantum computing
  that le...\n\n\nLukas Burgholzer (Technical University of Munich)\n\nRegi
 stration Category: Tech Program Reg Pass, Exhibits Reg Pass
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