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GTC ON-DEMAND

Numerical Algorithms & Libraries
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MAGMA: Development of High-Performance Linear Algebra for GPUs
Abstract:
In this session you will learn about the newest developments in high-performance numerical linear algebra for heterogeneous GPU-based systems. We will show a number of novel algorithms for solving linear systems and eigenvalue problems. Besides the algorithmic developments, we will present the methodology for their implementation on multiGPU platforms. Ease of development is achieved through a programming model that allows to express algorithms through sequential code that gets executed in parallel by a run-time system that schedules the execution over GPUs and multicore CPUs while seamlessly moves data between (when needed) GPUs and CPUs. The implementations are open source, available through the MAGMA library - a next generation of Sca/LAPACK for heterogeneous architectures. Besides the Sca/LAPACK functionality for dense linear algebra problems, we will present a new MAGMA component that deals with sparse linear algebra problems as well.
 
Topics:
Numerical Algorithms & Libraries, HPC and Supercomputing
Type:
Talk
Event:
GTC Silicon Valley
Year:
2014
Session ID:
S4541
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