SCHEDULE: NOV 10-16, 2012
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SET - Supercomputing Engine Technology
SESSION: Software Development Tools II
EVENT TYPE: Exhibitor Forums
TIME: 1:30PM - 2:00PM
Presenter(s):Dean Dauger
ROOM:155-C
ABSTRACT:
Avoid multithreading headaches! Our patented Supercomputing Engine Technology (SET) is an MPI-based library that simplifies parallel programming and attracts a much wider range of software writers, allowing their codes to scale more efficiently to hundreds or thousands of cores.
Many scientific algorithms are data parallel, and in most cases, these are amenable to parallel formulation. Conventional parallel programming, however, suffers numerous pitfalls. When writing MPI or multithreading code, too many programmers are stuck with code that either performs badly or simply does not perform at all.
Programmability is where SET makes a difference. SET raises the abstraction level, making parallel programming easier, and steers its users to good parallel code, all while executing efficiently on current hardware.
SET has successfully parallelized Mathematica, video encoding, Scilab, and more. Take control of scaling your own code and come see us. We present SET's structure, API, and examples of its use.
Chair/Presenter Details:
Dean Dauger - Advanced Cluster Systems, Inc.
Click here to download .ics calendar file
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SET - Supercomputing Engine Technology
SESSION: Software Development Tools II
EVENT TYPE:
TIME: 1:30PM - 2:00PM
Presenter(s):Dean Dauger
ROOM:155-C
ABSTRACT:
Avoid multithreading headaches! Our patented Supercomputing Engine Technology (SET) is an MPI-based library that simplifies parallel programming and attracts a much wider range of software writers, allowing their codes to scale more efficiently to hundreds or thousands of cores.
Many scientific algorithms are data parallel, and in most cases, these are amenable to parallel formulation. Conventional parallel programming, however, suffers numerous pitfalls. When writing MPI or multithreading code, too many programmers are stuck with code that either performs badly or simply does not perform at all.
Programmability is where SET makes a difference. SET raises the abstraction level, making parallel programming easier, and steers its users to good parallel code, all while executing efficiently on current hardware.
SET has successfully parallelized Mathematica, video encoding, Scilab, and more. Take control of scaling your own code and come see us. We present SET's structure, API, and examples of its use.
Chair/Presenter Details:
Dean Dauger - Advanced Cluster Systems, Inc.
Click here to download .ics calendar file