Abstract
PLASMA is a numerical library intended as a successor to LAPACK for solving problems in dense linear algebra on multicore processors. PLASMA relies on the QUARK scheduler for efficient multithreading of algorithms expressed in a serial fashion. QUARK is a superscalar scheduler and implements automatic parallelization by tracking data dependencies and resolving data hazards at runtime. Recently, this type of scheduling has been incorporated in the OpenMP standard, which allows to transition PLASMA from the proprietary solution offered by QUARK to the standard solution offered by OpenMP. This article studies the feasibility of such transition.
Original language | English |
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Pages (from-to) | 612-633 |
Number of pages | 22 |
Journal | International Journal of Parallel Programming |
Volume | 45 |
Issue number | 3 |
DOIs | |
State | Published - Jun 1 2017 |
Externally published | Yes |
Funding
This work has been supported in part by the National Science Foundation Grants Numbers: 1339822 and 1527706.
Funders | Funder number |
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National Science Foundation | 1339822, 1527706 |
National Science Foundation |
Keywords
- Linear algebra
- Multicore processors
- Multithreading
- Numerical libraries
- Parallel computing
- Programming models
- Runtime systems
- Task scheduling