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DTSTAMP:20181221T160911Z
LOCATION:C146
DTSTART;TZID=America/Chicago:20181114T103000
DTEND;TZID=America/Chicago:20181114T120000
UID:submissions.supercomputing.org_SC18_sess183@linklings.com
SUMMARY:Task-Based Programming
DESCRIPTION:Paper\nAlgorithms, Architectures, Memory, Networks, Parallel P
 rogramming Languages, Libraries, and Models, Power, Programming Systems, S
 cheduling, Tech Program Reg Pass\n\nA Divide and Conquer Algorithm for DAG
  Scheduling Under Power Constraints\n\nDemirci, Marincic, Hoffmann\n\nWe c
 onsider the problem of scheduling a parallel computation–represented as a 
 directed acyclic graph (DAG)–on a distributed parallel system with a globa
 l resource constraint–specifically a global power budget–and configurable 
 resources, allowing a range of different power/performance tradeoffs. Ther
 ...\n\n---------------------\nDynamic Tracing: Memoization of Task Graphs 
 for Dynamic Task-Based Runtimes\n\nLee, Slaughter, Bauer, Treichler, Warsz
 awski...\n\nMany recent programming systems for both supercomputing and da
 ta center workloads generate task graphs to express computations that run 
 on parallel and distributed machines. Due to the overhead associated with 
 constructing these graphs the dependence analysis that generates them is o
 ften statically ...\n\n---------------------\nRuntime-Assisted Cache Coher
 ence Deactivation in Task Parallel Programs\n\nCaheny, Alvarez, Valero, Mo
 retó, Casas\n\nWith increasing core counts, the scalability of directory-b
 ased cache coherence has become a challenging problem. To reduce the area 
 and power needs of the directory, recent proposals reduce its size by clas
 sifying data as private or shared, and disable coherence for private data.
  However, existing ...\n
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