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UID:submissions.supercomputing.org_SC24_sess530@linklings.com
SUMMARY:Doctoral Showcase III Presentations
DESCRIPTION:Accelerating HPC Workflow Results and Performance Reproducibil
 ity Analytics\n\nModern high-performance computing (HPC) workflows produce
  massive datasets, often exceeding 100+ TB per day, driven by instruments 
 collecting data at gigabytes per second. These workflows, executed on adva
 nced HPC systems with heterogeneous storage devices, high-performance micr
 oprocessors, accelera...\n\n\nKevin Assogba (Rochester Institute of Techno
 logy)\n---------------------\nEfficient Large Dynamic Graph Analysis on Em
 erging Storage Technology\n\nGraph-structured data analysis is extensively
  used in various real-world applications, including biology, social media,
  and recommendation systems. With the increasing prevalence of real-time d
 ata, many graphs become dynamic and evolve over time. Thus, dynamic graph 
 processing systems become a neces...\n\n\nAbdullah Al Raqibul Islam (Unive
 rsity of North Carolina at Charlotte)\n---------------------\nEfficient, S
 calable, Robust Neuromorphic High Performance Computing\n\nThe rapid advan
 cement in Artificial Neural Networks (ANNs) has paved the way for Spiking 
 Neural Networks (SNNs), which offer significant advantages in energy effic
 iency and computational speed, especially on neuromorphic hardware. My res
 earch focuses on the development of Efficient, Robust, and Scal...\n\n\nBi
 swadeep Chakraborty (Georgia Institute of Technology)\n-------------------
 --\nAlgorithmic and Optimization Techniques for Graph Applications in Hete
 rogeneous Systems at Scale\n\nAs heterogeneity becomes commonplace in HPC 
 systems, algorithmic and optimization techniques are needed to address the
  challenges that come with it, especially for irregular applications. This
  includes workload balancing, scheduling, latency tolerance, and memory ut
 ilization and contention, among ot...\n\n\nReece Neff (North Carolina Stat
 e University, Pacific Northwest National Laboratory (PNNL))\n-------------
 --------\nScalable Planning Platform for Orchestration of Autonomous Syste
 ms Across Edge-Cloud Continuum\n\nEdge accelerators, such as NVIDIA Jetson
 , are enabling rapid inference of deep neural network (DNN) models and com
 puter vision algorithms through low-end graphics processing unit (GPU) mod
 ules integrated with ARM-based processors. Their compact form factor allow
 s integration with mobile platforms, s...\n\n\nSuman Raj (Indian Institute
  of Science, Bangalore)\n\nRegistration Category: Tech Program Reg Pass\n\
 nSession Chair: Ian Lumsden (University of Tennessee, Knoxville)
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