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DTSTAMP:20211207T055352Z
LOCATION:Second Floor Atrium
DTSTART;TZID=America/Chicago:20211117T083000
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UID:submissions.supercomputing.org_SC21_sess255@linklings.com
SUMMARY:Doctoral Showcase Posters Display
DESCRIPTION:Doctoral Showcase, Posters\n\nParallel Algorithms for Scalable
  Graph Mining :  Applications on Big Data and Machine Learning\n\nSattar, 
 Arifuzzaman\n\nParallel computing plays a crucial role in processing large
 -scale graph data. Complex network analysis is an exciting area of researc
 h for many applications in different scientific domains, e.g., sociology, 
 biology, online media, recommendation systems, and many more. Machine/Deep
  learning plays a s...\n\n---------------------\nPerformance Profiling, An
 alysis, and Optimization of GPU-Accelerated Applications\n\nZhou, Mellor-C
 rummey\n\nGPUs have emerged as a key component for accelerating applicatio
 ns in various domains, including deep learning, data analytics, and scient
 ific simulations. While GPUs provide superior compute power and higher mem
 ory bandwidth than CPUs, writing efficient GPU code to achieve maximum pos
 sible performa...\n\n---------------------\nIntelligent Job Scheduling for
  Next Generation HPC Systems\n\nFan, Lan, Papka\n\nBoth high performance c
 omputing (HPC) infrastructures and applications are undergoing significant
  changes. The emerging HPC applications are not only compute-intensive, bu
 t also data- and memory-intensive. To meet the diverse workload demands, n
 ew hardware components, such as GPU and burst buffer, a...\n\n------------
 ---------\nHolistic Performance Analysis and Optimization of Unified Virtu
 al Memory\n\nAllen, Ge\n\nHigh-performance computing systems have seen tre
 mendous growth in theoretical performance with the inclusion of Graphics P
 rocessing Units (GPUs) and other accelerators. The difficulty of programmi
 ng these systems has grown alongside the performance as programmers are re
 quired to manage separate prog...\n\n---------------------\nTIGRA: A Tight
 ly Integrated Generic RISC-V Accelerator Interface\n\nGreen, Smith\n\nFiel
 d programmable gate array (FPGA) usage in HPC applications is growing with
  the need for energy efficient and application specific accelerators. Curr
 ently, FPGAs are used to accelerate algorithms using OpenCL with communica
 tion over a CPU bus (loosely coupled accelerators) or by modifying existin
 ...\n\n---------------------\nAccelerating I/O for Traditional HPC and Mod
 ern ML Workloads on Emerging HPC Systems\n\nChien, Markidis, Podobas\n\nIn
  recent years, HPC systems have emerged as an attractive option to speed u
 p large-scale Machine Learning (ML) workloads. HPC systems can tremendousl
 y improve learning speed with lots of GPUs and fast interconnect. However,
  ML workloads that are data-intensive differ significantly from traditiona
 l ...\n\n---------------------\nToward Complete Emulation of Quantum Algor
 ithms Using High-Performance Reconfigurable Computing\n\nMahmud, El-Araby\
 n\nQuantum computing, at its current nascent stage, has many critical prob
 lems that require investigation. For instance, solving real-world problems
  require quantum circuits with large depth which are difficult, often impo
 ssible to implement on a quantum computer due to decoherence noise. More s
 pecific...\n\n---------------------\nProgram Transformation for Automatic 
 GPU-Offloading with OpenMP\n\nMishra, Chapman, Malik\n\nThanks to its abil
 ity to manage large data parallelism with low power consumption, heterogen
 eous GPU computing has risen in the past decade. However, writing an appli
 cation for GPUs is an intensive manual effort that may include re-engineer
 ing data structures, as well as modifying large regions of c...\n\n-------
 --------------\nMemory-Centric 3D Image Reconstruction with Hierarchical C
 ommunications on Multi-GPU Node Architecture\n\nHidayetoglu, Hwu\n\nX-ray 
 computed tomography is a commonly used technique for noninvasive imaging a
 t synchrotron facilities. Iterative tomographic reconstruction algorithms 
 are often preferred for recovering high quality 3D volumetric images from 
 2D X-ray images, however, their use has been limited to small/medium dat..
 .\n\n---------------------\nOperator Splittings on GPUs\n\nKlein, Strzodka
 \n\nOperator splittings are a successful method for the solution of parabo
 lic partial differential equations. In this thesis, the same ideas are app
 lied for general sparse linear equation systems. For general graphs, which
  are induced by the sparse matrix of the equation system, a parallel segme
 ntation ...\n\n\nTag: In-Person Only\n\nRegistration Category: Tech Progra
 m Reg Pass, Exhibit Hall Only
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