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DTSTAMP:20181221T160908Z
LOCATION:D221
DTSTART;TZID=America/Chicago:20181113T133000
DTEND;TZID=America/Chicago:20181113T144500
UID:submissions.supercomputing.org_SC18_sess278@linklings.com
SUMMARY:Doctoral Showcase II
DESCRIPTION:Doctoral Showcase\nCompilers, Data Analytics, Data Management,
  GPUs, MPI, OS and Runtime Systems, Workshop Reg Pass, Tutorial Reg Pass, 
 Tech Program Reg Pass, Exhibits Reg Pass, Exhibits - Exhibit Hall Only Reg
  Pass, Doctoral Showcase\n\nUsing Integrated Processor Graphics to Acceler
 ate Concurrent Data and Index Structures\n\nFuentes, Scherson\n\nWith the 
 advent of computing systems with on-die integrated processor graphics (iGP
 U), new programming challenges have emerged from these heterogeneous syste
 ms. We proposed different data and index structure algorithms that can ben
 efit from the Intel's iGPU architecture and the C for Media (CM) prog...\n
 \n---------------------\nProductive Data Locality Optimizations in Distrib
 uted Memory\n\nKayraklioglu, El-Ghazawi\n\nWith deepening memory hierarchi
 es in HPC systems, the challenge of managing data locality gains more impo
 rtance. Coincidentally, increasing ubiquity of HPC systems and wider range
  of disciplines utilizing HPC introduce more programmers to the HPC commun
 ity. Given these two trends, it is imperative t...\n\n--------------------
 -\nCompiler and Runtime Based Parallelization and Optimization for GPUs\n\
 nOzen, Labarta, Ayguade\n\nThis thesis targets directive-based programming
  models to enhance their capability for GPU programming.  It introduc
 es a new dialect model, which is a combination of OpenMP and OmpSs. The ne
 w model allows the use of multiple GPUs in conjunction with the heavily mu
 ltithreaded capabilities in mul...\n\n---------------------\nEnabling Effi
 cient Data Infrastructure and Analytics on HPC Systems\n\nFu, Yu\n\nWe pro
 pose to leverage PGAS and one-sided communication for building data infras
 tructure and analytics frameworks on HPC systems. Specifically, we have de
 veloped SHMEMCache, a distributed in-memory key-value store and SHMEMGraph
 , a balanced graph processing framework. We have tackled unique challeng..
 .\n\n---------------------\nFast and Generic Concurrent Message-Passing\n\
 nDang, Snir\n\nCommunication hardware and software have a significant impa
 ct on the performance of clusters and supercomputers. Message-passing
  model and the Message-Passing Interface (MPI) is a widely used model
  of communications in the High-Performance<br />Computing (HPC) community.
  However, MPI has r...\n
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