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DTSTAMP:20210402T160550Z
LOCATION:Poster Module
DTSTART;TZID=America/New_York:20201117T083000
DTEND;TZID=America/New_York:20201117T170000
UID:submissions.supercomputing.org_SC20_sess342@linklings.com
SUMMARY:Doctoral Showcase Posters Display
DESCRIPTION:Doctoral Showcase, Posters\n\nA Dynamic Multi-Tiered Storage S
 ystem for Extreme-Scale Computing\n\nDevarajan, Sun\n\nTraditional scienti
 fic discovery was driven through the compute power of a computer system. H
 ence, I/O was treated as sparse tasks to perform occasional checkpoints fo
 r the application. This approach led to a growing gap between the compute 
 power and storage capabilities. In the era of data explosio...\n\n--------
 -------------\nAlgorithm Design for High-Performance CFD Solvers on Struct
 ured Grids\n\nWang, Chandramowlishwaran\n\nComputational Fluid Dynamics (C
 FD) with structured grids has been widely used in many engineering discipl
 ines including Aerospace Engineering and Vehicle Design. Current grid part
 itioners in CFD are biased towards minimizing the communication volume, an
 d rely on graph partition methods for complex m...\n\n--------------------
 -\nMachine Intelligent and Timely Data Management for Hybrid Memory System
 s\n\nDoudali, Gavrilovska\n\nBig data analytics in datacenter platforms an
 d data intensive simulations in exascale computing environments create the
  need for massive main memory capacities, on the order of terabytes, to bo
 ost application performance. To satisfy these requirements, memory hierarc
 hies become more complex, incorpo...\n\n---------------------\nEstablishin
 g a Massively Parallel, Patient-Specific Model of Cardiovascular Disease\n
 \nVardhan, Randles\n\nRecent years have witnessed a dramatic increase in c
 omputational fluid dynamic (CFD) simulations for diagnosing cardiovascular
  diseases, which continue to dominate healthcare costs and are projected t
 o be over one trillion dollars by 2035. Current frameworks, however, face 
 three key technical challe...\n\n---------------------\nThe Coming of Age 
 of Multithreaded High-Performance Communication\n\nZambre, Chandramowlishw
 aran\n\nThe supercomputing community holds an outdated view: the network i
 s a single device. Modern interconnects, however, feature multiple network
  hardware contexts that serve as parallel interfaces into the network from
  a single node. Additionally, as we are approaching the limits of a single
  network lin...\n\n---------------------\nHigh Throughput Low Latency Onli
 ne Image Processing by GPU/FPGA Coprocessors Using RDMA Techniques\n\nPons
 ard, Houzet, Janvier\n\nThe constant evolution of X-ray photon sources ass
 ociated with the increasing performance of high-end X-ray detectors allows
  cutting-edge experiments generate large volumes of data that are challeng
 ing to manage and store. These data management challenges have still not b
 een addressed in a fully sat...\n\n---------------------\nApproachable Err
 or Bounded Lossy Compression\n\nUnderwood, Apon, Calhoun\n\nCompression is
  commonly used in HPC applications to move and store data. Traditional los
 sless compression, however, does not provide adequate compression of float
 ing point data often found in scientific codes. Recently, researchers and 
 scientists have turned to lossy compression techniques that appr...\n\n---
 ------------------\nRuntime Data Management on Non-Volatile Memory-Based  
 High Performance Systems\n\nWu, Li\n\nNon-volatile memory (NVM) is expecte
 d to substitute DRAM in the memory hierarchy, due to the strengths of non-
 volatility, high density and near-zero standby power. Compared with DRAM, 
 however, NVM as the main memory can be challenging. First, promising NVM s
 olutions (e.g., PCM, ReRAM and 3D XPoint),...\n\n---------------------\nEf
 ficient Metadata Search for Scientific Data\n\nZhang, Chen, Byna\n\nScient
 ific experiments, observations and simulations often store their datasets 
 in various scientific file formats. Regrettably, to efficiently find the d
 atasets that are interesting to scientists remains a challenging task due 
 to the diverse characteristics of metadata, the vast number of datasets ..
 .\n\n\nRegistration Category: Tech Program Reg Pass, Exhibits Reg Pass
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