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DTSTART;TZID=America/Chicago:20181113T133000
DTEND;TZID=America/Chicago:20181113T144500
UID:submissions.supercomputing.org_SC18_sess278@linklings.com
SUMMARY:Doctoral Showcase II
DESCRIPTION:Fast and Generic Concurrent Message-Passing\n\nCommunication h
 ardware and software have a significant impact on the performance of clust
 ers and supercomputers. Message-passing model and the Message-Passing Inte
 rface (MPI) is a widely used model of communications in the High-Performan
 ce<br />Computing (HPC) community. However, MPI has r...\n\n\nHoang-Vu Dan
 g and Marc Snir (University of Illinois)\n---------------------\nProductiv
 e Data Locality Optimizations in Distributed Memory\n\nWith deepening memo
 ry hierarchies in HPC systems, the challenge of managing data locality gai
 ns more importance. Coincidentally, increasing ubiquity of HPC systems and
  wider range of disciplines utilizing HPC introduce more programmers to th
 e HPC community. Given these two trends, it is imperative t...\n\n\nEngin 
 Kayraklioglu and Tarek El-Ghazawi (George Washington University)\n--------
 -------------\nUsing Integrated Processor Graphics to Accelerate Concurren
 t Data and Index Structures\n\nWith the advent of computing systems with o
 n-die integrated processor graphics (iGPU), new programming challenges hav
 e emerged from these heterogeneous systems. We proposed different data and
  index structure algorithms that can benefit from the Intel's iGPU archite
 cture and the C for Media (CM) prog...\n\n\nJoel Fuentes and Isaac Scherso
 n (University of California, Irvine)\n---------------------\nEnabling Effi
 cient Data Infrastructure and Analytics on HPC Systems\n\nWe propose to le
 verage PGAS and one-sided communication for building data infrastructure a
 nd analytics frameworks on HPC systems. Specifically, we have developed SH
 MEMCache, a distributed in-memory key-value store and SHMEMGraph, a balanc
 ed graph processing framework. We have tackled unique challeng...\n\n\nHua
 nsong Fu and Weikuan Yu (Florida State University)\n---------------------\
 nCompiler and Runtime Based Parallelization and Optimization for GPUs\n\nT
 his thesis targets directive-based programming models to enhance their cap
 ability for GPU programming.  It introduces a new dialect model, which is 
 a combination of OpenMP and OmpSs. The new model allows the use of multipl
 e GPUs in conjunction with the heavily multithreaded capabilities in mul..
 .\n\n\nGuray Ozen, Jesus Labarta, and Eduard Ayguade (Barcelona Supercompu
 ting Center, Polytechnic University of Catalonia)\n\nTag: Compilers, Data 
 Analytics, Data Management, GPUs, MPI, OS and Runtime Systems, Doctoral Sh
 owcase\n\nRegistration Category: Workshop Reg Pass, Tutorial Reg Pass, Tec
 h Program Reg Pass, Exhibits Reg Pass, Exhibits - Exhibit Hall Only Reg Pa
 ss\n\nSession Chair: Kamesh Madduri (Pennsylvania State University)
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