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UID:submissions.supercomputing.org_SC24_sess810@linklings.com
SUMMARY:Doctoral Showcase I Presentations
DESCRIPTION:Toward Performance & Portability & Productivity in Parallel Pr
 ogramming\n\nAchieving *performance*, *portability*, and *productivity* fo
 r data-parallel computations (e.g., MatMul and convolutions) has emerged a
 s a major research challenge. The complex hardware design of contemporary 
 parallel architectures, including GPUs and CPUs, requires advanced program
  optimizations to...\n\n\nAri Rasch (University of Münster, Germany)\n----
 -----------------\nAccelerating Communications in High-Performance Scienti
 fic Workflows\n\nAdvances in networks, accelerators, and cloud services en
 courage programmers to reconsider where to compute — such as when fast net
 works make it cost-effective to compute on remote accelerators despite add
 ed latency. Workflow and cloud-hosted serverless computing frameworks can 
 manage multi-st...\n\n\nJ. Gregory Pauloski (University of Chicago, Argonn
 e National Laboratory (ANL))\n---------------------\nSupporting End Users 
 in Implementing Quantum Computing Applications\n\nQuantum computing applic
 ations require expert knowledge to perform complex steps: (1) selecting a 
 suitable quantum algorithm, (2) generating the quantum circuit, (3) compil
 ing/executing the quantum circuit, and (4) decoding the results. This crea
 tes high entry barriers for end users with limited exp...\n\n\nNils Quetsc
 hlich (Technical University of Munich)\n---------------------\nHigh-Perfor
 mance Computing Resilience Analysis Using Large Language Models\n\nThis do
 ctoral showcase highlights three pivotal works conducted during my PhD tha
 t collectively advance the field of high-performance computing (HPC) resil
 ience analysis using large language models (LLMs).\n\nThe first work intro
 duces HAPPA, a modular platform for HPC Application Resilience Analysis. .
 ..\n\n\nHailong Jiang (Kent State University)\n---------------------\nEnha
 ncing HPC I/O Performance: Leveraging Runtime and Offline I/O Optimization
  Frameworks\n\nThe existing parallel I/O stack is complex and difficult to
  tune due to the interdependencies among multiple factors that impact the 
 performance of data movement between storage and compute systems. When per
 formance is slower than expected, end-users, developers, and system admini
 strators rely on I/...\n\n\nHammad Bin Ather (University of Oregon)\n-----
 ----------------\nGoing Beyond the Chicken and Egg Situation with Modern M
 PI Features\n\nMPI has become the de facto standard for distributed memory
  computing since its inception in 1994. While the MPI standard has evolved
  to include new technologies like RDMA, many applications still rely on th
 e original set of MPI operations.\n\nThis thesis investigates the current 
 usage of MPI. We note...\n\n\nTim Jammer (Technical University Darmstadt)\
 n\nRegistration Category: Tech Program Reg Pass\n\nSession Chair: Alan Sus
 sman (University of Maryland)
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